Adaptive laboratory evolution—Principles and applications for biotechnology
Open accessAbstract
Adaptive laboratory evolution is a frequent method in biological studies to gain insights into the basic mechanisms of molecular evolution and adaptive changes that accumulate in microbial populations during long term selection under specified growth conditions. Although regularly performed for more than 25 years, the advent of transcript and cheap next-generation sequencing technologies has resulted in many recent studies, which successfully applied this technique in order to engineer microbial cells for biotechnological applications. Adaptive laboratory evolution has some major benefits as compared with classical genetic engineering but also some inherent limitations. However, recent studies show how some of the limitations may be overcome in order to successfully incorporate adaptive laboratory evolution in microbial cell factory design. Over the last two decades important insights into nutrient and stress metabolism of relevant model species were acquired, whereas some other aspects such as niche-specific differences of non-conventional cell factories are not completely understood. Altogether the current status and its future perspectives highlight the importance and potential of adaptive laboratory evolution as approach in biotechnological engineering.
AI snapshot
Written from the paper’s full text.
TL;DR
Adaptive laboratory evolution (ALE) is a long-term selection approach that can improve microbial growth, stress tolerance, and biotechnologically relevant phenotypes, often complementing classical genetic engineering. This review summarizes principles, selection methods, mutation types, trade-offs, and applications across bacteria and yeasts, while noting limitations such as unknown evolved genotypes, trade-offs, and limited data for non-conventional hosts.
Key findings
- Typical ALE experiments run for about 100–2000 generations over weeks to months; within 100–500 generations, fitness increases of up to 50–100% can be achieved, while an extreme case reached up to 1000% improvement in iron reduction rate for *Geobacter sulfurreducens* after 24 months.
- Across ALE studies, SNPs accounted for 61% of observed genetic changes, deletions approximately 29%, insertions 7%, and insertion-sequence movements 3%; the Lenski *E. coli* experiment exceeds 50,000 generations.
- ALE can improve nutrient utilization and stress resistance, but evolved phenotypes often show trade-offs or cross-protection depending on selection conditions; for example, ethanol tolerance in *E. coli* came at the cost of decreased acid resistance, while n-butanol tolerance was weakly compatible with oxidative stress.
- Large-scale transcriptional rearrangements, gene amplifications, and regulatory mutations are common; epistasis is a major factor, and different evolutionary paths can lead to phenotypic convergence.
Methods
- This is a review article, not a primary experimental study; it synthesizes principles and applications of ALE for biotechnology.
- It draws on published ALE experiments with bacteria and yeasts, summarized in Table 1 and Table 2, which list species/strain, selection environment, selection time, and references.
- The main analysis is a narrative synthesis covering laboratory selection methods, mutation types, nutrient and environmental stress adaptation, evolutionary trade-offs and cross-protection, non-conventional hosts, and future directions.
Limitations
- The paper states that ALE has inherent limitations: evolved strains have unknown genotypes, risking hitchhiking of unfavorable mutations; selection for one condition often causes trade-offs in others; efficient evolutionary engineering of industrial *S. cerevisiae* may be limited by polyploidy; and computational models cannot yet replace trial-and-error laboratory experiments.
- The paper states that non-conventional host organisms are understudied, with limited physiological data and niche-specific differences not completely understood.
- Evident from the text: as a review, it does not perform a systematic search or meta-analysis, and some entries in Tables 1 and 2 report “nd” for selection time, indicating incomplete data in the summarized literature.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
0 of 202 cited sources checked · 0 supported · 0 flagged
- Findingcitation
Based on previous studies, within 100 to 500 generations, corresponding to up to 2 months of selection for a typical E. coli or S. cerevisiae culture, a fitness increase of up to 50-100% can be achieved.
“Based on previous studies, we can estimate that within 100 to 500 generations (corresponding to up to 2 months of selection for a typical E. coli or S. cerevisiae culture), a fitness increase of up to 50–100% can be achieved.”
Quote in the paperNot a substantial claim - Findingown data
The fitness increase as a function of the total number of generations is not linear.
“Moreover, it is important to note that the fitness increase as a function of the total number of generations is not linear (Figure 1c).”
Quote in the paperSubstantial claim - Findingnone given
In recent ALE experiments various types of mutations were detected: single-nucleotide polymorphisms, small scale insertions and deletions, transposable element movements and amplifications as well as deletions of larger genomic regions.
“In recent ALE experiments various types of mutations were detected: Single-nucleotide polymorphisms (SNPs), small scale insertions and deletions (indels), transposable element (insertion sequence, IS) movements and amplifications as well as deletions of larger genomic regions (Figure 1d).”
Quote in the paperNot a substantial claim - Premisenone given
During direct competition of an ancestral microbial strain and an adapted strain, the increased fitness of the adapted variant will be obvious by its increased frequency in the total population.
“During direct competition of an ancestral microbial strain and an adapted strain, the increased fitness of the adapted variant will be obvious by its increased frequency in the total population.”
Quote in the paperSubstantial claim - Interpretationreasoning
It cannot be assumed that a homogenous population is present during any point of a laboratory evolution experiment.
“Thus, it cannot be assumed that a homogenous population is present during any point of a laboratory evolution experiment.”
Quote in the paperSubstantial claim
- Premisecitation
During ALE, clonal interference, bet hedging, genetic hitchhiking and fluctuating growth environments can lead to significant population heterogeneity.
“Stable phenotypes will accumulate rapidly, although clonal interference [42], bet hedging [43,60], genetic hitchhiking [61] and fluctuating growth environments can lead to significant population heterogeneity [22,62,63].”
Quote in the paperSubstantial claim0 of 4 sources checked - Premisecitation
Classical genetic engineering was recently successfully complemented with artificial laboratory selection of microbial cells in order to generate potentially robust and optimized microbial production systems.
“Recently, classical genetic engineering was successfully complemented with artificial laboratory selection of microbial cells in order to generate potentially robust and optimized microbial production systems [15,16].”
Quote in the paperSubstantial claim0 of 2 sources checked - Premisecitation
Other biotechnological processes, such as recombinant protein production and metabolite co-production in microbial cells, are coupled to microbial growth.
“Other biotechnological processes, such as recombinant protein production and metabolite co-production in microbial cells, are coupled to microbial growth [56].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [56] source
Not checked in the free run.
- Premisecitation
Many typical ALE experiments were performed in shake flasks and similar growth conditions with cell densities in the range of 10^7 to 10^9 cells per mL for typical microbial cultures.
“Many typical ALE experiments were performed in shake flasks and similar growth conditions with cell densities in the range of 107 to 109 cells per mL for typical microbial cultures [124,125]”
Quote in the paperNot a substantial claim0 of 2 sources checked - Premisecitation
Prolonged selection that exceeds the first rapid evolutionary adaptation phase will not necessarily lead to significantly improved phenotypes.
“For standard ALE in biotechnology this is a critical factor, as prolonged selection that exceeds the first rapid evolutionary adaptation phase will not necessarily lead to significantly improved phenotypes [67];”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [67] source
Not checked in the free run.
- Premisecitation
Selection for improved fitness in a specialized environment often leads to significant trade-offs in other stressful or selective conditions.
“It should be noted that selection for improved fitness in a specialized environment often leads to significant trade-offs in other stressful or selective conditions [19].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [19] source
Not checked in the free run.
- Premisereasoning
The maximum achievable fitness increase within a certain time or generation span can vary significantly depending on the selection pressure.
“The maximum achievable fitness increase within a certain time or generation span can vary significantly depending on the selection pressure.”
Quote in the paperNot a substantial claim - Premisecitation
With suitable neutral genetic markers, fitness differences can be easily monitored during laboratory evolution of microbial cells.
“With suitable neutral genetic markers, this fitness difference can be easily monitored during laboratory evolution of microbial cells [34,59].”
Quote in the paperNot a substantial claim0 of 2 sources checked - Premisecitation
During scale-up of microbial processes, cells are exposed to altered environmental conditions and environmental stress regimes.
“Whereas small-scale cultivations and initial engineering steps are often performed in complex media in batch culture, during the scale-up of the process, cells are exposed to altered environmental conditions and environmental stress regimes [57,58].”
Quote in the paperSubstantial claim0 of 2 sources checked - Premisecitation
In contrast to comparative genomics, ALE allows phenotypic changes to be clearly associated with a certain growth environment that leads to the selection of traits.
“In contrast to comparative genomics [29], ALE allows phenotypic changes to be clearly associated with a certain growth environment that leads to the selection of traits.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [29] source
Not checked in the free run.
- Premisecitation
Due to transcriptional profiling and massive next-generation DNA sequencing, phenotype-genotype correlations can be easily obtained by whole genome re-sequencing.
“Moreover, due to rather new technologies, including transcriptional profiling [30] and massive next-generation DNA sequencing (NGS) [31,32], phenotype-genotype correlations can be easily obtained by whole genome re-sequencing (WGS).”
Quote in the paperNot a substantial claim0 of 3 sources checked - Premisecitation
Mutations in amino acid catabolic processes and stress response sigma factor rpoS are of special importance for acquiring a selective advantage in nutrient starved conditions.
“Mutations in amino acid catabolic processes and stress response sigma factor, rpoS, are of special importance for acquiring a selective advantage in such nutrient starved conditions [148,149];”
Quote in the paperNot a substantial claim0 of 2 sources checked - Premisecitation
Mutational robustness can have a positive effect on evolvability, depending on the population size and network architecture.
“Although counterintuitive at first, it was shown that mutational robustness can have a positive effect on evolvability, depending on the population size and network architecture [41,136].”
Quote in the paperNot a substantial claim0 of 2 sources checked - Premisecitation
Suboptimal growth on glycerol can approach its theoretical maximum during laboratory evolution.
“Subsequently, it was shown that suboptimal growth on glycerol can approach its theoretical maximum during laboratory evolution [65].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [65] source
Not checked in the free run.
- Premisecitation
GASP (growth advantage in stationary phase) mutants are rapidly fixed in E. coli populations.
“So-called GASP (growth advantage in stationary phase) mutants are rapidly fixed in E. coli populations [52].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [52] source
Not checked in the free run.
- Premisecitation
Changes in DNA topology contributed to global transcriptional changes by altered DNA superhelicity, mediated by mutations found in genes such as fis, topAB, gyrAB and dusB.
“Furthermore, changes in DNA topology contributed to global transcriptional changes by altered DNA superhelicity, mediated by mutations found in genes such as fis, topAB, gyrAB and dusB[150].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [150] source
Not checked in the free run.
- Premisecitation
WGS of parallel E. coli populations revealed that most cultures acquired mutations in the transcriptional regulator nadR, the pyruvate kinase pykF, the rbs operon, the transcriptional regulator malT and the stringent response regulator spoT.
“WGS of the parallel populations revealed that most cultures acquired mutations in the transcriptional regulator nadR, the pyruvate kinase pykF, the rbs operon, the transcriptional regulator malT and the stringent response regulator spoT[36].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [36] source
Not checked in the free run.
- Premisereasoning
Microbial batch cultures can show rapid evolutionary adaptation if they are exposed to prolonged stationary phase.
“It should be noted that microbial batch cultures can show rapid evolutionary adaptation if they are exposed to prolonged stationary phase.”
Quote in the paperNot a substantial claim - Premisecitation
Gene amplifications were identified to contribute to increased gene dosage and subsequently increased fitness.
“In several recent studies, gene amplifications were identified to contribute to increased gene dosage [63,116,128] and subsequently increased fitness.”
Quote in the paperNot a substantial claim0 of 3 sources checked - Premisereasoning
The correlation between total number of generations and emergence of adaptive mutations does not take into account the total number of cells in a population.
“Nevertheless, this correlation does not take into account the total number of cells in a population.”
Quote in the paperSubstantial claim- Rests on an assumption: The total number of generations is commonly used to estimate the emergence of adaptive mutations.
- Premisecitation
Parallel glucose-evolved E. coli cultures showed significant parallelism in the change of gene expression profiles.
“Also, a significant parallelism in the change of the gene expression profiles was noticed in these parallel cultures [64]”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [64] source
Not checked in the free run.
- Interpretationreasoning
The large population sizes in microbial cultures still allow the emergence of frequent mutations within a short time span.
“the large population sizes in microbial cultures still allow the emergence of frequent mutations within a short time span.”
Quote in the paperSubstantial claim - Premisecitation
rpoC RNA polymerase mutations were found to be a major source for improved growth on glycerol during batch selection.
“In a more recent study, rpoC RNA polymerase (RNAP) mutations were found to be a major source for improved growth on glycerol during batch selection [69].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [69] source
Not checked in the free run.
- Premisecitation
DNA replication itself is a process of high fidelity with a mutation rate of approximately 10^-10 per base pair per replication for microbial cells.
“Although DNA replication itself is a process of high fidelity with a mutation rate of approximately 10-10 per base pair per replication for microbial cells [127]”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [127] source
Not checked in the free run.
- Premisecitation
The rpoC mutations that were identified led to altered gene expression patterns by a global redistribution of transcriptional units from ribosomal RNAs to other units.
“The rpoC mutations that were identified led to altered gene expression patterns by a global redistribution of transcriptional units (TUs) from ribosomal RNAs to other units.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [69] source
Not checked in the free run.
- Premisecitation
Enzyme promiscuity is important for the evolution of novel functions.
“Considering this general tension between mutational robustness of genes and networks and the potential to evolve, enzyme promiscuity is also important for the evolution of novel functions [144].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [144] source
Not checked in the free run.
- Premisecitation
There is evidence that the interplay of protein mutational robustness, protein folding and environmental stress is an additional key factor that determines the evolution of new traits.
“Moreover, there is evidence that the interplay of protein mutational robustness, protein folding and environmental stress is an additional key factor that determines the evolution of new traits [145,146].”
Quote in the paperNot a substantial claim0 of 2 sources checked - Premisecitation
E. coli can evolve different modes of lacZ expression depending on the environment that contained either lactose, glucose or both as carbon sources.
“Moreover, recent data showed that E. coli can evolve different modes of lacZ expression, depending on the environment that contained either lactose, glucose or both as carbon sources.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [76] source
Not checked in the free run.
- Premisecitation
An E. coli population with a rpoS deletion can still develop increased salt tolerance during laboratory evolution by uncoupling of rpoS dependent expression of the otsBA operon, which is important for trehalose synthesis.
“It was shown that an E. coli population with a rpoS deletion can still develop increased salt tolerance during laboratory evolution by uncoupling of rpoS dependent expression of the otsBA operon, which is important for trehalose synthesis [82].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [82] source
Not checked in the free run.
- Rests on an assumption: rpoS plays a crucial role towards survival in high osmotic conditions.
- Premisecitation
Heat-inducible genes, including hslT, fkpA and gapA, showed adaptive expression changes during prolonged exposure to increased temperature in E. coli.
“Riehle and co-workers reported that heat-inducible genes, including hslT, fkpA and gapA, showed adaptive expression changes during prolonged exposure to increased temperature [78].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [78] source
Not checked in the free run.
- Premisecitation
During aerobic glucose-limited chemostat growth in parallel E. coli cultures for 280 generations, mutations in the glycoporin lamB and the regulator malT were identified as the cause of long-term adaptation.
“In contrast to batch selected populations, during aerobic glucose-limited chemostat growth in parallel cultures for 280 generations, mutations in the glycoporin lamB and the regulator malT were identified as the cause of long-term adaptation.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [49] source
Not checked in the free run.
- Premisecitation
Adaptation to extreme temperature relied on the constitutive expression of GroEL/ES in E. coli.
“In another study it was found that the adaptation to extreme temperature relied on the constitutive expression of GroEL/ES in E. coli[83]”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [83] source
Not checked in the free run.
- Premisecitation
Growth on lactate leads to altered phenotypes in E. coli, such as decreased acetate overflow in order to tune the cellular energy metabolism.
“Growth on other carbon sources such as lactate also leads to altered phenotypes, such as decreased acetate overflow in order to tune the cellular energy metabolism [67].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [67] source
Not checked in the free run.
- Premisecitation
Serial transfers improved anaerobic growth on xylose in recombinant E. coli engineered for homofermentative L-lactic acid production from xylose.
“By serial transfers the authors were able to improve anaerobic growth on xylose, although the genetic basis remains yet to be determined [77].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [77] source
Not checked in the free run.
- Premisecitation
A similar study with a different selection procedure identified mutations in glpF and fabA, accompanied with increased membrane fatty acid saturation, as critical factors towards increased thermo-tolerance.
“whereas a similar study with a different selection procedure identified mutations in glpF and fabA, accompanied with increased membrane fatty acid saturation as critical factors towards increased thermo-tolerance [90].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [90] source
Not checked in the free run.
- Premisecitation
For lactose in E. coli, lacZ expression levels were evolutionary fine-tuned depending on the lactose concentration in the environment, in order to balance the cost of lacZ expression and increased fitness.
“For other, tightly regulated carbon sources such as lactose in E. coli, it was shown that lacZ expression levels were evolutionary fine-tuned depending on the lactose concentration in the environment, in order to balance the cost of lacZ expression and increased fitness [68].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [68] source
Not checked in the free run.
- Premisecitation
Increased ethanol tolerance in E. coli can also be mediated by increased catabolism of ethanol through the TCA cycle.
“Increased ethanol tolerance in E. coli can also be mediated by increased catabolism of ethanol through the TCA cycle [84].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [84] source
Not checked in the free run.
- Premisecitation
Within a single chemostat culture, multiple stably co-existing malT mutations were observed.
“Moreover, within a single chemostat culture, the authors observed multiple stably co-existing malT mutations [49].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [49] source
Not checked in the free run.
- Premisecitation
Frequent rpoB mutations were found during batch evolution on glucose in E. coli.
“Frequent rpoB mutations were also found during batch evolution on glucose in a more recent study [63]”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [63] source
Not checked in the free run.
- Premisecitation
Phosphate limitation experiments resulted in genotypic and phenotypic divergence of E. coli through mutations in rpoS, spoT and hfq, which led to the de-regulation of pho genes and increased phosphate transport.
“Phosphate limitation experiments resulted in genotypic and phenotypic divergence of E. coli through mutations in rpoS, spoT and hfq, which led to the de-regulation of pho genes and increased phosphate transport [46].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [46] source
Not checked in the free run.
- Premisecitation
Changes in enterobactin biosynthetic processes (ent genes) were observed in independent E. coli studies.
“Furthermore, changes in enterobactin biosynthetic processes (ent genes) were also observed in independent studies [84,85,91].”
Quote in the paperNot a substantial claim0 of 3 sources checked - Premisecitation
A S. cerevisiae strain with deficient pyruvate decarboxylase activity was evolved for high-glucose tolerance.
“In another study, van Maris and co-workers evolved a S. cerevisiae strain with deficient pyruvate decarboxylase activity for high-glucose tolerance [97].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [97] source
Not checked in the free run.
- Premisecitation
Sulfate limitation led to mutations affecting TOR signaling via an RRN3 mutation and a genomic amplification of the high-affinity sulfate transporter SUL1 in S. cerevisiae.
“Finally, another example of nutrient stress selection in S. cerevisiae showed that sulfate limitation led to mutations affecting TOR signaling via an RRN3 mutation and a genomic amplification of the high-affinity sulfate transporter SUL1[103].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [103] source
Not checked in the free run.
- Premisecitation
Increased growth during osmotic stress in E. coli was linked to mutations that led to increased expression of enterobactin biosynthesis genes, including fepA and entD.
“Increased growth during osmotic stress was linked to mutations that led to increased expression of enterobactin biosynthesis genes (fepA and entD among others) [63].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [63] source
Not checked in the free run.
- Premisecitation
The glucose tolerant phenotype was due to an in-frame deletion in the glucose regulator MTH1, which led to altered stability of the MTH1 encoded protein.
“Subsequently, it was discovered that this glucose tolerant phenotype was due to an in-frame deletion in the glucose regulator MTH1, which led to altered stability of the MTH1 encoded protein [151].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [151] source
Not checked in the free run.
- Premisecitation
At least one evolution experiment showed that the general principles observed for E. coli and S. cerevisiae, including the tendency towards optimized biomass yield and overflow metabolism, large-scale regulatory changes and mutator strains, also emerge in Lactococcus lactis.
“Although rare at this point, at least one evolution experiment showed that the general principles that were observed for E. coli and S. cerevisiae, including the tendency towards optimized biomass yield and overflow metabolism, large-scale regulatory changes and mutator strains also emerge in other microbial hosts, such as Lactococcus lactis[73].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [73] source
Not checked in the free run.
- Premisecitation
Mutations identified in isobutanol-resistant E. coli strains showed a high degree of epistasis.
“Moreover, mutations identified in isobutanol-resistant strains showed a high degree of epistasis [87].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [87] source
Not checked in the free run.
- Premisecitation
A recent study in E. coli showed that, by using increased genotypic diversity leveraged by a transposon library, evolutionarily 'old' anticipatory responses can be rapidly decoupled.
“Another recent study in E. coli showed that, by using increased genotypic diversity leveraged by a transposon library, evolutionarily ‘old’ anticipatory responses can be rapidly decoupled [172].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [172]
Not checked in the free run.
- Premisecitation
Increased ethanol tolerance in E. coli comes at the cost of decreased resistance to acidic conditions.
“Regarding the adaptation towards environmental stresses, it was shown for E. coli that increased ethanol tolerance comes at the cost of decreased resistance to acidic conditions [84]”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [84] source
Not checked in the free run.
- Premisecitation
Evolutionary mechanisms allow anticipatory and foraging behavior in pro- and eukaryotic microbial cells.
“They allow anticipatory and foraging behavior in pro- and eukaryotic microbial cells [172-174].”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [172]
Not checked in the free run.
- cites [173]
Not checked in the free run.
- cites [174]
Not checked in the free run.
- Premisecitation
The evolutionary mechanisms described in the preceding sections are crucial towards the development of species-specific specializations.
“The evolutionary mechanisms described in the preceding sections are crucial towards the development of such specializations [130,156,171].”
Quote in the paperNot a substantial claim0 of 3 sources checked - Premisecitation
Strains evolved under phosphate limitation showed trade-offs in sodium chloride and oxidative stress survival due to decreased rpoS levels.
“Furthermore, strains evolved under phosphate limitation showed trade-offs in sodium chloride and oxidative stress survival due to decreased rpoS levels [46].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [46] source
Not checked in the free run.
- Premisecitation
Increased tolerance of S. cerevisiae towards lignocellulosic hydrolysates such as acetic acid and furfural was correlated with adaptive changes of the oxidative stress response.
“Increased tolerance of S. cerevisiae towards lignocellulosic hydrolysates such as acetic acid and furfural was correlated with adaptive changes of the oxidative stress response [112].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [112] source
Not checked in the free run.
- Premisecitation
Other studies reported improved growth on many non-evolutionary carbon sources after batch selection with gluconeogenic carbon sources.
“whereas other studies reported improved growth on many non-evolutionary carbon sources after batch selection with gluconeogenic carbon sources [66,67].”
Quote in the paperNot a substantial claim0 of 2 sources checked - Premisecitation
For low temperature evolved E. coli populations, trade-offs at non-evolutionary high temperatures are not universal, as individual lineages showed no trade-offs or even a fitness increase.
“In contrast, it was shown for low temperature evolved E. coli populations that trade-offs at non-evolutionary high temperatures are not universal as individual lineages showed no trade-offs or even a fitness increase [163].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [163]
Not checked in the free run.
- Premisecitation
Microbial cells have an intrinsic capacity to balance self preservation (stress protection) and nutritional competence (SPANC).
“Microbial cells have an intrinsic capacity to balance self preservation (stress protection) and nutritional competence (SPANC).”
Quote in the paperSubstantial claim0 of 2 sources checked - Premisecitation
n-butanol tolerance was reported to be highly compatible with osmotic stress.
“Similarly, n-butanol tolerance was reported to be highly compatible with osmotic stress [63].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [63] source
Not checked in the free run.
- Interpretationcitation
Epistasis is a major factor for adaptive optimization of gene regulation.
“(c) epistasis is a major factor for adaptive optimization of gene regulation [89,157].”
Quote in the paperSubstantial claim0 of 2 sources checked - Premisecitation
The SPANC balance in E. coli is governed by strict control of processes such as stress and stringent response.
“This SPANC balance was intensively studied in E. coli and is governed by strict control of processes such as stress and stringent response [158,159].”
Quote in the paperNot a substantial claim0 of 2 sources checked - Interpretationreasoning
Although parallelism is often observed in replicate cultures or even among different laboratories, different evolutionary paths (divergence) can lead to phenotypic convergence.
“(b) although parallelism is often observed in replicate cultures or even among different laboratories, different evolutionary paths (divergence) can lead phenotypic convergence”
Quote in the paperSubstantial claim - Premisecitation
Yeast has a similar intrinsic sensing mechanism to balance growth and stress resistance.
“Recently it was also shown that yeast has a similar intrinsic sensing mechanism to balance growth and stress resistance [160,161].”
Quote in the paperNot a substantial claim0 of 2 sources checked - Interpretationreasoning
Large scale transcriptional re-arrangements and gene amplifications are common during laboratory evolution.
“Altogether, large scale transcriptional re-arrangements and gene amplifications are common during laboratory evolution.”
Quote in the paperSubstantial claim - Premisecitation
Long term batch cultivation on glucose led to a rapid decay of non-used metabolic functions, including growth on D-ribose and L-glutamine, in E. coli.
“On the other hand, long term batch cultivation on glucose led to a rapid decay of non-used metabolic functions, including growth on D-ribose and L-glutamine, in E. coli[35]”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [35] source
Not checked in the free run.
- Premisecitation
Increased oxidative stress resistance in E. coli may be linked to mutations in the soxR reducing system and increased levels of cellular catalase/peroxidase (katG).
“Furthermore, increased oxidative stress resistance in E. coli may be linked to mutations in the soxR reducing system and increased levels of cellular catalase/peroxidase (katG) [63].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [63] source
Not checked in the free run.
- Interpretationcitation
Differences in the regulatory blueprints of different species can ultimately lead to distinct evolutionary stress trade-offs during selection.
“Consequently, there are differences in the regulatory blueprints of different species [169,176,177], which can ultimately lead to distinct evolutionary stress trade-offs during selection.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [169]
Not checked in the free run.
- cites [176]
Not checked in the free run.
- cites [177]
Not checked in the free run.
- Interpretationreasoning
The integration of adaptive laboratory evolution into metabolic engineering of microbial cells offers tuning possibilities at multiple levels of the engineering process.
“The integration of adaptive laboratory evolution into metabolic engineering of microbial cells offers tuning possibilities at multiple levels of the engineering process.”
Quote in the paperSubstantial claim - Premisecitation
In silico experiments indicate that stepwise evolution can increase microbial evolvability.
“In silico experiments indicate that stepwise evolution can increase microbial evolvability [179]”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [179]
Not checked in the free run.
- Premisecitation
Genome scale pathway modeling itself proved extremely powerful for metabolic engineering of microbial cells.
“Consequently, genome scale pathway modeling itself proved extremely powerful for metabolic engineering of microbial cells [187].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [187]
Not checked in the free run.
- Premisecitation
A heterologous transcriptional regulator from Deinococcus radiodurans was recently introduced into E. coli in order to select for improved phenotypes.
“In this context, a heterologous transcriptional regulator from Deinococcus radiodurans was recently introduced into E. coli in order to select for improved phenotypes [182]”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [182]
Not checked in the free run.
- Interpretationreasoning
Different evolved microbial hosts are likely to show distinct trade-offs during process-related stress exposure.
“As such, biotechnologists have to be aware that different (evolved) microbial hosts are likely to show distinct trade-offs during process-related stress exposure.”
Quote in the paperSubstantial claim - Premisecitation
In a recent study towards increased n-butanol tolerance in E. coli, a drastic increase in solvent tolerance was rapidly achieved by combining laboratory evolution and genome shuffling of the evolved clones.
“In a recent study towards increased n-butanol tolerance in E. coli, a drastic increase in solvent tolerance was rapidly achieved by combining laboratory evolution and genome shuffling of the evolved clones [91].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [91] source
Not checked in the free run.
- Premisecitation
Several studies improved the carbon source utilization of S. cerevisiae strains by genetic engineering in combination with evolutionary adaptation.
“For example, several studies improved the carbon source utilization of S. cerevisiae strains by genetic engineering in combination with evolutionary adaptation [104,107-109].”
Quote in the paperNot a substantial claim0 of 4 sources checked - Interpretationreasoning
Insights into the adaptive cross-stress dependencies of one organism cannot infer the dependencies in a second organism with a distinct evolutionary background.
“It can be concluded that insights into the adaptive cross-stress dependencies of one organism cannot infer the dependencies in a second organism with a distinct evolutionary background.”
Quote in the paperSubstantial claim - Premisecitation
MAGE (multiplexed automated genome engineering) technology makes use of massively increased genotypic diversity in order to generate improved phenotypes such as improved lycopene production in E. coli and accelerate evolution.
“Similarly, MAGE (multiplexed automated genome engineering) technology makes use of massively increased genotypic diversity in order to generate improved phenotypes such as improved lycopene production in E. coli and accelerate evolution [180].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [180]
Not checked in the free run.
- Classified as probably not a substantial claim. 20
- May combine two claims. 67
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataA typical ALE experiment is performed for somewhat between 100 and 2000 generations and usually takes a few weeks up to a few months.
“In summary Tables 1 and Table 2, it can be seen that a typical ALE experiment is performed for somewhat between 100 and 2000 generations and usually takes a few weeks up to a few months.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationBiological catalysis offers advantages over chemical synthesis, such as stereo-selective production of chemical compounds.
“Moreover, biological catalysis offers several advantages over chemical synthesis, such as stereo-selective production of chemical compounds [9].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [9] source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationSystems metabolic engineering has proven very successful for the design and implementation of biotechnological production processes.
“Synthetic biology is a new emerging field [10,11] and systems metabolic engineering has proven very successful for the design and implementation of biotechnological production processes [12-14].”
Quote in the paperNot a substantial claim0 of 3 sources checkedMay combine two claims.
PremisecitationIn serial batch cultures for ALE, transfer often occurs before the stationary phase is reached, which is a prerequisite to avoid stationary phase adaptation.
“As indicated in Figure 1a, in serial batch cultures for ALE, the transfer often occurs before the stationary phase is reached. Clearly, this is a prerequisite to avoid stationary phase adaptation [52].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [52] source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisenone givenMicrobial cells offer important advantages for ALE studies: most have simple nutrient requirements, can be easily cultivated in the laboratory, and generally grow very fast and can be cultivated for several hundred generations within several weeks or months.
“Microbial cells offer important advantages for ALE studies: (a) most microbial cells have simple nutrient requirements, (b) they can be easily cultivated in the laboratory and (c) microbial cells generally grow very fast and can be cultivated for several hundred generations within several weeks or months”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationParticularly in the last 25 years, there has been an ever increasing number of ALE experiments with Escherichia coli and Saccharomyces cerevisiae being the most prominent organisms under investigation.
“however, particularly in the last 25 years, there has been an ever increasing number of such experiments with Escherichia coli and Saccharomyces cerevisiae being the most prominent organisms under investigation [26-28].”
Quote in the paperNot a substantial claim0 of 3 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe long-term E. coli adaptation experiment by Lenski's group has exceeded 50000 generations.
“This single parallel E. coli adaptation experiment is already exceeding 50000 generations [33-35].”
Quote in the paperNot a substantial claim0 of 3 sources checkedMay combine two claims.
PremisecitationWe cannot clearly predict the scale at which improved phenotypes emerge during laboratory evolution, although recent literature indicates that such predictions are possible in certain growth contexts such as carbon source adaptation.
“In this context, we cannot clearly predict the scale at which improved phenotypes emerge during laboratory evolution, although recent literature indicates that such predictions are possible in certain growth contexts such as carbon source adaptation [65].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [65] source
Not checked in the free run.
May combine two claims.
PremisecitationCertain environments can lead to fast selection of improved phenotypes, whereas others, including long-term adaptation to environmental pH, represent complex environments where microbial cells show low adaptive potential in terms of absolute fitness gain.
“Whereas certain environments can lead to fast selection of improved phenotypes, others, including the long-term adaptation to environmental pH [59,63], represent complex environments where microbial cells show low adaptive potential in terms of absolute fitness gain.”
Quote in the paperNot a substantial claim0 of 2 sources checkedMay combine two claims.
PremisecitationThe fitness increase is usually fast within the first 100 to 500 generations and slows considerably down during the course of ALE.
“Whereas the fitness increase is usually fast within the first 100 to 500 generations, it slows considerably down during the course of ALE [36].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [36] source
Not checked in the free run.
May combine two claims.
PremisecitationCells selected under growth limiting conditions can show growth trade-offs in non-limiting conditions and vice versa.
“In this context, cells selected under growth limiting conditions can show growth trade-offs in non-limiting conditions and vice versa[53].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [53] source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationAdaptive laboratory evolution was already performed about a hundred years ago by William Dallinger and during the middle of the last century.
“Hence, adaptive laboratory evolution was already performed about a hundred years ago by William Dallinger [22] and during the middle of the last century [24,25];”
Quote in the paperNot a substantial claim0 of 3 sources checkedClassified as probably not a substantial claim.
InterpretationreasoningThe initial choice of conditions, including media composition and limited versus non-limited growth rate, will greatly influence whether the artificially selected microbial host will be suitable for its dedicated application.
“The initial choice of conditions, including media composition and limited versus non-limited growth rate, will greatly influence whether the artificially selected microbial host will be suitable for its dedicated application.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationDuring adaptive evolution, certain trait values change and are associated with increased Darwinian fitness; an improved phenotype or property is often equal to increased fitness.
“During adaptive evolution, certain trait values change and are associated with increased (Darwinian) fitness [20]; as such, an improved phenotype or property is often equal to increased fitness.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [20] source
Not checked in the free run.
May combine two claims.
PremisecitationIn certain cases ALE can lead to an even higher increase of up to 1000% as shown for the iron reduction rate of Geobacter sulfurreducens, although this increase was only achieved after 24 months of selection.
“In certain cases ALE can lead to an even higher increase of up to 1000% as recently shown for the iron reduction rate of Geobacter sulfurreducens[123], although this increase was only achieved after 24 months of selection”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [123] source
Not checked in the free run.
May combine two claims.
PremisecitationDeletions accounted for approximately 29% of the observed genomic changes, followed by insertions (7%) and IS movements (3%).
“Deletions accounted for approximately 29% of the observed genomic changes, followed by insertions (7%) and IS movements (3%) [15].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [15] source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe role of horizontal gene transfer in natural evolution remains a controversial topic.
“Nevertheless, the role of HGT in natural evolution remains a controversial topic [133].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [133] source
Not checked in the free run.
May combine two claims.
PremisecitationHigh mutation rates and mutator strains can emerge naturally during laboratory evolution and contribute to the formation of genetic novelty.
“Interestingly, it was shown that high mutation rates and mutator strains can emerge naturally during laboratory evolution and contribute to the formation of genetic novelty [33,73,139-141].”
Quote in the paperNot a substantial claim0 of 5 sources checkedMay combine two claims.
PremisecitationSNPs account for the majority of observed genetic changes, with G:C to T:A mutations being disproportionally frequent.
“As summarized in a recent review, SNPs (61%, with G:C to T:A mutations being disproportionally frequent) account for the majority of observed genetic changes [15].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [15] source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationThe toolbox model suggests that prokaryotic metabolic pathways emerge through horizontal gene transfer and are rapidly acquired and lost based on nutrient availability.
“This so-called toolbox model suggests that prokaryotic metabolic pathways emerge through horizontal gene transfer (HGT) and are rapidly acquired and lost based on nutrient availability [132].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [132] source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationGene duplications are a prerequisite for the development of novel molecular functions.
“they are a prerequisite for the development of novel molecular functions [129-131].”
Quote in the paperNot a substantial claim0 of 3 sources checkedMay combine two claims.
PremisecitationDuring the first few thousand generations, glucose-evolved E. coli cultures developed larger cell size and a lower final cell density as compared with the ancestor.
“During the first few thousand generations, glucose-evolved cultures developed larger cell size and a lower final cell density as compared with the ancestor [34].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [34] source
Not checked in the free run.
May combine two claims.
PremisecitationMutational robustness tends to increase with mutation rate and decline with population size.
“Furthermore, it was shown that mutational robustness tends to increase with mutation rate and decline with population size [40].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [40] source
Not checked in the free run.
May combine two claims.
PremisecitationIn the rpoC study, the biomass yield increased up to 40% and acetate overflow was reduced, whereas the metabolic rate increased and the evolved cells showed a lowered or total loss of motility.
“In this study, the biomass yield increased up to 40% and acetate overflow was reduced, whereas the metabolic rate increased and the evolved cells showed a lowered or total loss of motility.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [69] source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationMicrobial metabolic networks often provide appropriate functions at a minimal size, and their complexity seems to be correlated with environmental factors.
“Microbial metabolic networks often provide appropriate functions at a minimal size [134] and furthermore, their complexity seems to be correlated with environmental factors [135].”
Quote in the paperNot a substantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone givenSuch mutational adaptations might be counterproductive for some applications of microbial cells in biotechnology.
“however, such mutational adaptations might be counterproductive for some applications of microbial cells in biotechnology.”
Quote in the paperNot a substantial claimMay combine two claims.
Premisenone givenMany ALE studies analyzed the impact and molecular adaptation towards both nutrient and environmental stresses, leading to major findings regarding the emergence of specialists, generalists, the underlying mutations and the applicability of evolved cells for industrial microbiology.
“Many ALE studies analyzed the impact and molecular adaptation towards both stresses (Table 1 and Table 2), leading to major findings regarding the emergence of specialists, generalists, the underlying mutations and the applicability of evolved cells for industrial microbiology.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationAn experimental E. coli culture could evolve the ability to aerobically utilize citrate, or the ability to use the non-natural carbon source 1,2-propanediol; also, a strain deficient in glutathione biosynthesis was able to develop compensatory mutations to restore this function.
“For example, an experimental E. coli culture could evolve the ability to aerobically utilize citrate [37], or the ability to use the non-natural carbon source 1,2-propanediol [71]; also, a strain deficient in glutathione biosynthesis was able to develop compensatory mutations to restore this function [147].”
Quote in the paperNot a substantial claim0 of 3 sources checkedMay combine two claims.
PremisecitationIn a 1997 study, E. coli was evolved in chemostat cultures in order to select for improved growth on glycerol; the authors reported phenotypic changes in terms of colony morphology accompanied with increased growth rate and biomass yield and decreased acetate formation.
“In a 1997 study, E. coli was evolved in chemostat cultures in order to select for improved growth on glycerol. The authors reported phenotypic changes in terms of colony morphology accompanied with increased growth rate and biomass yield and decreased acetate formation [50].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [50] source
Not checked in the free run.
May combine two claims.
PremisecitationA higher mutation rate can only be beneficial to a certain extent as it also results in a genetic load.
“It is clear that a higher mutation rate can only be beneficial to a certain extent as it also results in a genetic load [142].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [142] source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationIn nature as well as in biotechnological processes, microorganisms are challenged with changing environmental conditions, where they experience fluctuations in temperature, pH, oxygenation, atmospheric or hydrostatic pressure but also water and nutrient availability; thus, the selective pressures can be divided in two main categories: nutrient availability and environmental stress.
“In nature as well as in biotechnological processes, microorganisms are challenged with changing environmental conditions, where they experience fluctuations in temperature, pH, oxygenation, atmospheric or hydrostatic pressure but also water and nutrient availability; thus, the selective pressures can be divided in two main categories: nutrient availability and environmental stress [17].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [17] source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe cumulative number of cell divisions (CCD) was proposed as a more appropriate denominator to evaluate microbial evolution.
“Only recently, the cumulative number of cell divisions (CCD) was proposed as a more appropriate denominator to evaluate microbial evolution [126].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [126] source
Not checked in the free run.
May combine two claims.
PremisecitationGlucose import, sensing and regulation represent major targets during glucose-limited chemostat growth in S. cerevisiae, and frequent mutations in HXT genes and glucose sensors and regulators such as RGT1 and MIG2 were identified.
“Glucose import, sensing and regulation represent major targets during glucose-limited chemostat growth, as a further study also identified frequent mutations in HXT genes and glucose sensors and regulators such as RGT1 and MIG2[53].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [53] source
Not checked in the free run.
May combine two claims.
PremisecitationAdaptive changes towards ethanol tolerance in E. coli were linked to the up-regulation of oxyR and nrdR, indicating major changes in the cellular respiratory system and changes in amino acid metabolism.
“Adaptive changes towards ethanol tolerance were linked to the up-regulation of oxyR and nrdR, indicating major changes in the cellular respiratory system but also changes in amino acid metabolism [85].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [85] source
Not checked in the free run.
May combine two claims.
PremisecitationTranscript analysis in galactose-evolved S. cerevisiae showed up-regulation of trehalose and glycogen metabolism, no mutations in galactose or storage carbohydrate related genes, and mutations in RAS/PKA signaling as a source for increased fitness on galactose medium.
“Transcript analysis showed up-regulation of trehalose and glycogen metabolism, whereas no mutations were identified in galactose or storage carbohydrate related genes. Interestingly, the authors rather identified mutations in RAS/PKA signaling as a source for increased fitness on galactose medium [106].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [106] source
Not checked in the free run.
May combine two claims.
Premiseown dataIn xylose-adapted recombinant yeast, no expression changes in HXT genes were identified, although other studies on improved xylose and arabinose utilization indicated that HXT genes may also be involved in increased xylose uptake rates.
“The authors did not identify expression changes in HXT genes, although other studies on improved xylose and arabinose utilization indicated that HXT genes may also be involved in increased xylose uptake rates [99,104].”
Quote in the paperNot a substantial claim0 of 2 sources checkedMay combine two claims.
PremisecitationGrowth on glucose was established by genetic and evolutionary engineering in a pyruvate carboxylase-negative S. cerevisiae strain, and a point mutation in the recombinant sfcA gene shifted the co-factor preference from NADH to NADPH.
“Similarly, Zelle and co-workers established growth on glucose by genetic- and evolutionary engineering in a pyruvate carboxylase-negative S. cerevisiae strain. The authors identified a point mutation in the recombinant sfcA gene, which shifted the co-factor preference from NADH to NADPH [107].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [107] source
Not checked in the free run.
May combine two claims.
PremisecitationMutations that lead to altered lacZ expression patterns accumulated predominantly in lacI and lacO1 regions of the lac operon, and were responsible for a reduced diauxic lag phase and increased maximum growth rates in lactose growth medium.
“Mutations that lead to altered expression patterns accumulated predominantly in lacI and lacO1 regions of the lac operon [76]. Altogether, these mutations were responsible for a reduced (diauxic) lag phase and increased maximum growth rates in lactose growth medium.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [76] source
Not checked in the free run.
May combine two claims.
PremisecitationAnother study reported the emergence of aneuploidy during glucose-limited growth and amplification of the HXT6 gene with significant divergence between co-evolved S. cerevisiae populations.
“another study reported the emergence of aneuploidy during glucose-limited growth and amplification of the HXT6 gene with significant divergence between co-evolved populations [94].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [94] source
Not checked in the free run.
May combine two claims.
PremisecitationIn evolved ∆pgi E. coli strains, growth rates and glucose uptake rates increased up to 3.6 and up to 2.6 fold as compared with the ancestor, accompanied by different phenotypes regarding acetate and formate production.
“Growth rates and glucose uptake rates increased up to 3.6 and up to 2.6 fold in evolved ∆pgi strains as compared with the ancestor and were accompanied with different phenotypes regarding acetate and formate production.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [70] source
Not checked in the free run.
May combine two claims.
PremisecitationEarly glucose-limited chemostat studies in S. cerevisiae showed that glucose-limited selection led to increased biomass yield and a decreased fermentative capacity.
“Early studies in glucose-limited chemostats revealed that glucose-limited selection led to increased biomass yield and a decreased fermentative capacity [93,98].”
Quote in the paperNot a substantial claim0 of 2 sources checkedMay combine two claims.
PremisecitationIn glucose-limited S. cerevisiae, decreased activity levels of enzymes related to glycolysis and correlating changes in expression levels of genes such as ENO1, ENO2, TDH1 and PYK1 and down-regulation of the stress response MSN2/4 were observed.
“Decreased activity levels of enzymes related to glycolysis but also correlating changes in the expression levels of genes such as ENO1, ENO2, TDH1 and PYK1 and down-regulation of the stress response (MSN2/4) were observed.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [98] source
Not checked in the free run.
May combine two claims.
PremisecitationmalT regulatory mutations, although common in aerobic conditions, were absent during oxygen-limited chemostat growth, where mutations in the glucose permease ptsG were common.
“Strikingly, the authors also noticed that malT regulatory mutations, although common in aerobic conditions, were absent during oxygen-limited chemostat growth, where mutations in the glucose permease ptsG were common [48].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [48] source
Not checked in the free run.
May combine two claims.
PremisecitationThe rpoS mutation alone did not positively influence the growth rate in the ancestral ∆pgi E. coli strain; rpoS mutations were epistatically linked to additional mutations.
“but most importantly the rpoS mutation alone did not positively influence the growth rate in the ancestral ∆pgi strain; rpoS mutations were epistatically linked to additional mutations.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [63] source
Not checked in the free run.
May combine two claims.
PremisecitationIn glucose-limited S. cerevisiae, altered cell morphology and higher affinity towards glucose were observed, although no expression change in the major HXT low-affinity glucose transporters was observed.
“Altered cell morphology was also observed, as well as higher affinity towards glucose, although no expression change in the major HXT low-affinity glucose transporters was observed [98]”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [98] source
Not checked in the free run.
May combine two claims.
PremisecitationMutations in acrAB and marC were found independently in studies of iso- and n-butanol stress in E. coli; further changes were linked to carbon and nitrogen metabolism via gatY and tnaA, enterobactin synthesis, or attenuated rpoS activity via hfq mutations.
“Mutations in acrAB and marC were found independently in these studies; further changes were linked to carbon and nitrogen metabolism via gatY and tnaA[86], enterobactin synthesis [63] or attenuated rpoS activity via hfq mutations [87].”
Quote in the paperNot a substantial claim0 of 3 sources checkedMay combine two claims.
PremisecitationIn xylose adaptation studies, increased growth rates and higher ethanol yields were observed in recombinant yeast; trehalose and glycogen metabolic processes were significantly down-regulated, nutrient and stress signaling was affected by down-regulation of YAK1 and CWP1, and major cell wall changes occurred.
“In xylose adaptation studies, increased growth rates and higher ethanol yields were observed in recombinant yeast. In this case, trehalose and glycogen metabolic processes were significantly down-regulated, nutrient and stress signaling was affected by down-regulation of YAK1 and also accompanied by down-regulation of CWP1 and consequently major cell wall changes [108].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [108] source
Not checked in the free run.
May combine two claims.
PremisecitationEvolved ∆pgi E. coli strains had frequent point mutations in rpoS, udhA, pntAB and a prophage deletion; these mutations were not observed in the glucose-adapted wildtype strain, while other regulatory mutations including rpoABC occurred in both backgrounds.
“The authors found frequent point mutations in rpoS, udhA (soluble transhydrogenase), pntAB and a prophage deletion. They did not observe these mutations in the glucose-adapted wildtype strain; other regulatory mutations (including rpoABC) occurred in both backgrounds”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [70] source
Not checked in the free run.
May combine two claims.
PremisecitationSelection for improved galactose utilization could be achieved by serial transfer with a 24% increase of μmax within 62 days, and galactose uptake rates and ethanol production were increased.
“For other carbon sources, it was shown that selection for improved galactose utilization could be achieved by serial transfer with a 24% increase of μmax within 62 days. Galactose uptake rates and ethanol production were increased.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [106] source
Not checked in the free run.
May combine two claims.
PremisecitationExperiments on pentose utilization highlighted that increased gene copy numbers of the heterologous genes in recombinant S. cerevisiae can emerge during evolutionary engineering and contribute to increased growth in anaerobic conditions.
“Furthermore, experiments on pentose utilization highlighted that increased gene copy numbers of the heterologous genes in recombinant S. cerevisiae can emerge during evolutionary engineering and contribute to increased growth in anaerobic conditions [104,109].”
Quote in the paperNot a substantial claim0 of 2 sources checkedMay combine two claims.
PremisecitationIn S. cerevisiae, adaptation towards salt tolerance led to increased cell size and increased ploidy; gene expression changes in CTT1 and MSN4 and a high-frequency SNP in the transcriptional regulator MOT2 were observed.
“In the model yeast S. cerevisiae, adaptation towards salt tolerance led to increased cell size and increased ploidy. Additionally, gene expression changes in CTT1 and MSN4 were observed, as well as a high-frequency SNP in the transcriptional regulator MOT2[116].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [116] source
Not checked in the free run.
May combine two claims.
PremisecitationCross-protection towards lignocellulosic hydrolysates can be evolved in S. cerevisiae; several mutants showed increased fitness in the presence of inhibitor combinations but reduced fitness when exposed to individual hydrolysate components.
“A recent study showed that cross-protection towards lignocellulosic hydrolysates can be evolved in S. cerevisiae. Interestingly, several mutants showed increased fitness in the presence of inhibitor combinations but reduced fitness when exposed to individual hydrolysate components [112].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [112] source
Not checked in the free run.
May combine two claims.
PremisecitationAerobic chemostat-selected S. cerevisiae cells showed increased fitness in anaerobic glucose-limited chemostats and in acetate-limited chemostats, but decreased fitness in nitrogen-limited batch cultivations.
“Similarly, aerobic chemostat-selected S. cerevisiae cells also showed increased fitness in anaerobic glucose-limited chemostats and in acetate-limited chemostats, but decreased fitness in nitrogen-limited batch cultivations [53].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [53] source
Not checked in the free run.
May combine two claims.
InterpretationcitationDuplications and large scale genomic variations, although they can lead to significant issues such as genomic instability, play a major role in yeast evolution.
“As such, ALE studies highlight that duplications and large scale genomic variations, although they can lead to significant issues such as genomic instability [152], play a major role in e.g. yeast evolution; this is also indicated by data on wine yeasts, galactose utilization, comparative genomics and drug resistance [115,153-156].”
Quote in the paperSubstantial claim0 of 6 sources checkedMay combine two claims.
PremisecitationA recent study in S. cerevisiae indicated that anticipatory gene regulatory patterns can evolve under cycling salt and oxidative stress conditions on a laboratory time scale within 300 generations, and that cross-stress protection against salt and oxidative stress is strikingly asymmetrical, with oxidative stress protecting against salt stress but not vice versa.
“In fact, a recent study in S. cerevisiae indicated that anticipatory gene regulatory patterns can evolve under cycling salt and oxidative stress conditions on a laboratory time scale within 300 generations and that cross-stress protection against salt and oxidative stress is strikingly asymmetrical, with oxidative stress protecting against salt stress but not vice versa[120].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [120] source
Not checked in the free run.
May combine two claims.
InterpretationreasoningEvolutionary trade-offs and cross-protection against process-relevant parameters are ubiquitous, but the mode of cultivation and the specificities of the selection pressure largely determine to which extent these phenomena arise.
“Thus, evolutionary trade-offs and cross-protection against process-relevant parameters are ubiquitous, but the mode of cultivation and the specificities of the selection pressure largely determine to which extent these phenomena arise.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationIncreased copper tolerance in S. cerevisiae was reported to be mediated by a genomic amplification of CUP1, decreased basal levels of the copper transporters CTR2 and CCC2, and decreased activity of antioxidant enzymes.
“Increased copper tolerance was reported to be mediated by a genomic amplification of CUP1, decreased basal levels of the copper transporters CTR2 and CCC2 and decreased activity of antioxidant enzymes [117,128].”
Quote in the paperNot a substantial claim0 of 2 sources checkedMay combine two claims.
Interpretationnone givenEpistatic interactions can be hardly inferred from metabolic modeling studies, although significant epistatic connections for strain engineering may be easily identified in ALE studies.
“Importantly, epistatic interactions can be hardly inferred from metabolic modeling studies although significant epistatic connections for strain engineering may be easily identified in ALE studies.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationIncreased ethanol tolerance in S. cerevisiae was mediated by mutations in the translational regulator SSD1 and UTH1, a protein of unknown function, and indicated that cell wall stability is a major factor in ethanol tolerance of S. cerevisiae.
“In another study, increased ethanol tolerance was mediated by mutations in the translational regulator SSD1 and UTH1, a protein of unknown function, and indicated that cell wall stability is a major factor in ethanol tolerance of S. cerevisiae[119].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [119] source
Not checked in the free run.
May combine two claims.
InterpretationreasoningLong-term adaptation leads to both large-scale transcriptional de-regulation and optimization of terminal nodes (fine-tuning of the expression levels of individual genes).
“From these data it can be concluded that: (a) long-term adaptation leads to both large-scale transcriptional de-regulation and optimization of terminal nodes (fine-tuning of the expression levels of individual genes)”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationGlycerol-limited growth led to stable mutants in a single E. coli population; one mutant showed increased growth in glycerol-sufficient batch cultures and a second mutant did not; the mutant with increased batch growth also showed increased fitness under general nutrient limitation, heat and osmotic stress.
“Glycerol-limited growth led to stable mutants in a single E. coli population, where one mutant showed increased growth in glycerol-sufficient batch cultures and a second mutant did not. Furthermore, the mutant that showed increased growth in batch culture also showed increased fitness under general nutrient limitation, heat and osmotic stress [50].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [50] source
Not checked in the free run.
May combine two claims.
PremisecitationMulti-stress resistant S. cerevisiae populations can be evolved; batch selection for freeze-thaw tolerance also selected for increased thermal, oxidative and ethanol stress resistance.
“Another interesting study analyzed to which extent multi-stress resistant S. cerevisiae populations can be evolved. The authors tested various chemostat and batch stress regimes and found that batch selection for freeze-thaw tolerance also selected for increased thermal, oxidative and ethanol stress resistance [113].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [113] source
Not checked in the free run.
May combine two claims.
PremisecitationYeast cells that were evolved for efficient galactose utilization subsequently showed trade-offs when grown on glucose as carbon source; this effect was due to antagonistic pleiotropy based on mutations of the regulatory protein RAS2.
“Yeast cells that were evolved for efficient galactose utilization [106] subsequently showed trade-offs when grown on glucose as carbon source. This effect was due to antagonistic pleiotropy that was based on mutations of the regulatory protein RAS2[162].”
Quote in the paperNot a substantial claim0 of 2 sources checkedMay combine two claims.
PremisecitationCore sub-networks and pathways tend to be well conserved, but the up- and downstream connections to other cellular networks vary significantly among different species and lead to species-specific differences of stress resistance in adverse environments.
“Whereas core sub-networks and pathways tend to be well conserved, the up- and downstream connections to other cellular networks vary significantly among different species and lead to species-specific differences of stress resistance in adverse environments [169,170]”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [169]
Not checked in the free run.
- cites [170]
Not checked in the free run.
May combine two claims.
PremisecitationIn S. cerevisiae, cobalt resistance also improved tolerance for other metal ions, and pulsed cobalt stress exposure during laboratory evolution resulted in evolutionary cross-protection to thermal and oxidative stress.
“Examples for adaptive cross-protection are also available for S. cerevisiae where cobalt resistance also improved tolerance for other metal ions and pulsed cobalt stress exposure during laboratory evolution even resulted in evolutionary cross-protection to thermal and oxidative stress [114].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [114] source
Not checked in the free run.
May combine two claims.
Premisecitationn-butanol tolerance in E. coli is weakly compatible with oxidative stress and leads to trade-offs in hexane and chloramphenicol resistance.
“and n-butanol tolerance is weakly compatible with oxidative stress [63] and leads to trade-offs in hexane and chloramphenicol resistance [86].”
Quote in the paperNot a substantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationFor eukaryotic host organisms such as yeasts, alternating asexual and sexual propagation during selection can be applied in order to decouple beneficial and unsound mutations and thus reduce potential deficits of laboratory evolution experiments.
“Moreover, for eukaryotic host organisms such as yeasts, alternating asexual and sexual propagation during selection can be applied in order to decouple beneficial and unsound mutations and thus reduce potential deficits of laboratory evolution experiments [118].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [118] source
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable). May combine two claims.
InterpretationreasoningComputational approaches provide important benefits towards rational engineering of microbial cell factories but cannot replace or prevent 'trial and error' laboratory experiments for the foreseeable future.
“In this context, computational approaches provide important benefits towards rational engineering of microbial cell factories but as it can be foreseen right now, they cannot replace or prevent ‘trial and error’ laboratory experiments for the foreseeable future.”
Quote in the paperNot a substantial claim- Rests on an assumption: Enormous computational power is necessary to simulate living cells, even on a non-evolutionary scale.
- Rests on an assumption: Even for well-studied organisms such as E. coli and S. cerevisiae, approximately 30% of genes have unknown function.
- Rests on an assumption: The complex interactions of living organisms with their environment are not well understood.
- Rests on an assumption: Our understanding of the effect of many environmental stressors on cells, their precise action on certain cellular components, the mode of stress sensing, cellular signal transduction and cross-talk between signal transduction pathways is still limited.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationSynthetic biology is highly structured and biological networks are split into smaller functional modules, leading to complex optimization needs.
“In contrast to classical approaches it is highly structured and biological networks are split into smaller functional modules [11,183], leading to complex optimization needs.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [11] source
Not checked in the free run.
- cites [183]
Not checked in the free run.
May combine two claims.
PremisecitationFull-scale models of microorganisms are available and microbial growth can be simulated.
“Full-scale models of microorganisms are available [185,186] and we can simulate microbial growth.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [185]
Not checked in the free run.
- cites [186]
Not checked in the free run.
May combine two claims.
PremisecitationA recent study with S. cerevisiae and Saccharomyces paradoxus showed that the evolutionary rescue frequency was positively correlated with stress concentration during 100 generations of evolution in S. cerevisiae but negatively correlated in S. paradoxus.
“Towards this end, a recent study with S. cerevisiae and Saccharomyces paradoxus showed that the evolutionary rescue (ER) frequency was positively correlated with stress concentration during 100 generations of evolution in S. cerevisiae but negatively correlated in S. paradoxus[44].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [44] source
Not checked in the free run.
May combine two claims.
PremisecitationOther studies used ethylmethanesulfonate (EMS) treated Bacillus boroniphilus to select for increased boron resistance or EMS-treated S. cerevisiae in order to achieve increased nutrient utilization and stress resistance.
“Other studies used ethylmethanesulfonate (EMS) treated Bacillus boroniphilus to select for increased boron resistance [88] or EMS-treated S. cerevisiae in order to achieve increased nutrient utilization and stress resistance [95,113,114].”
Quote in the paperNot a substantial claim0 of 4 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIn silico approaches are widely applied in order to address evolutionary questions.
“Similarly, in silico approaches are widely applied in order to address evolutionary questions [40,172].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [40] source
Not checked in the free run.
- cites [172]
Not checked in the free run.
May combine two claims.
PremisecitationMicrobial gene regulatory networks are generally very robust towards perturbations and large-scale re-wiring results in a significant number of viable clones with increased evolvability as compared with the wildtype.
“Microbial gene regulatory networks are generally very robust towards perturbations and large-scale re-wiring results in a significant number of viable clones with increased evolvability as compared with the wildtype [181].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [181]
Not checked in the free run.
May combine two claims.
PremisecitationComputational models are well-suited to study evolutionary change on the population level, whereas in silico evolution of artificial cells that include simulated regulatory networks is currently very limited.
“Computational models are well-suited to study evolutionary change on the population level, whereas in silico evolution of artificial cells that include simulated regulatory networks are currently very limited [21].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [21] source
Not checked in the free run.
May combine two claims.
PremisecitationCertain functions such as overflow metabolism in S. cerevisiae may have evolved in order to provide an evolutionary advantage in specific environments and to protect carbon resources from other competing species.
“Certain functions such as overflow metabolism in S. cerevisiae may have evolved in order to provide an evolutionary advantage in specific environments and to protect carbon resources from other competing species [175].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [175]
Not checked in the free run.
May combine two claims.
PremisecitationLaboratory selection can lead to large-scale rewiring of gene regulatory networks, but an approach called gTME, global transcription machinery engineering, can also yield similar results.
“For example, laboratory selection can lead to large-scale rewiring of gene regulatory networks, but an approach, that the authors called gTME, global transcription machinery engineering, can also yield similar results [2].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [2] source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationCo-cultivation of multiple organisms can be exploited in order to increase antibiotic production, such as in the case of co-cultivation of Streptomyces clavuligerus and Staphylococcus aureus.
“Besides insights into co-evolutionary behavior, this approach can be exploited in order to increase antibiotic production such as in the case of co-cultivation of Streptomyces clavuligerus and Staphylococcus aureus[55].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [55] source
Not checked in the free run.
The paper relies on this without support.
Mutations are the basis underlying genetic change and the selection of improved phenotypes in nature as well as in the laboratory.
“Mutations are the basis underlying genetic change and the selection of improved phenotypes in nature as well as in the laboratory.”
The paper relies on this without support.
Microbial cells evolved mechanisms to successfully cope with stressful conditions in order to maintain cellular homeostasis.
“Microbial cells evolved mechanisms to successfully cope with such stressful conditions in order to maintain cellular homeostasis.”
The paper relies on this without support.
Efficiency of nutrient source utilization is an important aspect of microbial growth and for industrial purposes.
“Efficiency of nutrient source utilization is an important aspect of microbial growth and for industrial purposes it may be governed by factors such as substrate cost or increased bioconversion rates.”
The paper relies on this without support.
In industrial processes microbial cells may be challenged with non-natural stresses that may result in poor and non-competitive process performance.
“In contrast to natural environments, in industrial processes microbial cells may be challenged with non-natural stresses that may result in poor and non-competitive process performance.”
The paper relies on this without support.
The total number of generations is commonly used to estimate the emergence of adaptive mutations.
“the total number of generations is commonly used to estimate the emergence of adaptive mutations.”
The paper relies on this without support.
The evolution of novel functions and pathways can be hardly observed in a laboratory evolution experiment, even with microbial cells and their fast growth rates.
“The evolution of novel functions and pathways can be hardly observed in a laboratory evolution experiment, even with microbial cells and their fast growth rates.”
The paper relies on this without support.
rpoS plays a crucial role towards survival in high osmotic conditions.
“Furthermore, it is known that rpoS plays a crucial role towards survival in high osmotic conditions.”
The paper relies on this without support.
Mesophilic organisms such as E. coli and S. cerevisiae have inherent properties that limit their use in certain applications, e.g. high temperature processes.
“Mesophilic organisms such as E. coli and S. cerevisiae have inherent properties that limit their use in certain applications, e.g. high temperature processes.”
The paper relies on this without support.
Limited data on the physiology of non-conventional organisms still represent a significant obstacle towards rational host cell engineering.
“Currently, limited data on the physiology of such organisms still represent a significant obstacle towards rational host cell engineering.”
The paper relies on this without support.
Enormous computational power is necessary to simulate living cells, even on a non-evolutionary scale.
“Enormous computational power is necessary to simulate living cells, even on a non-evolutionary scale.”
The paper relies on this without support.
Even for well-studied organisms such as E. coli and S. cerevisiae, approximately 30% of genes have unknown function.
“Additionally, even for well-studied organisms such as E. coli and S. cerevisiae, there is still a significant number (approximately 30%) of genes with unknown function.”
The paper relies on this without support.
The complex interactions of living organisms with their environment are not well understood.
“Furthermore, the complex interactions of living organisms with their environment are not well understood.”
The paper relies on this without support.
Our understanding of the effect of many environmental stressors on cells, their precise action on certain cellular components, the mode of stress sensing, cellular signal transduction and cross-talk between signal transduction pathways is still limited.
“Specifically, our understanding of the effect of many environmental stressors on cells, their precise action on certain cellular components, the mode of stress sensing, cellular signal transduction and cross-talk between signal transduction pathways is still limited.”
The authors state this as an assumption.
Evolution is constrained to work on available blueprints.
“As François Jacob pointed out: “Evolution is a tinkerer”, and as such evolution is constrained to work on available blueprints.”
The paper relies on this without support.
Genetic engineers have the possibility to rapidly construct novel circuits.
“However, genetic engineers have the possibility to rapidly construct novel circuits.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Adaptive evolutionary engineering based on metabolic engineering can allow microorganisms to quickly obtain excellent phenotypes, but there are problems such as unclear gene targets and negative mutation interference.
“Adaptive evolutionary engineering based on metabolic engineering can allow microorganisms to quickly obtain excellent phenotypes, but there are problems such as unclear gene targets and negative mutation interference [90,91].”
From Recent Developments in Lignocellulosic Biofuels, a Renewable Source of Bioenergy (2022) · cites this paper as [90]
Cites
Quantitative Monitoring of Gene Expression Patterns with a Complementary DNA Microarray
Schena, M., Shalon, D., Davis, R. W., & Brown, P. O. (1995) · Science · doi:10.1126/science.270.5235.467 · Cited by 9,609 · see citing works
Dujon, B., Sherman, D., Fischer, G., Durrens, P., Casaregola, S., Lafontaine, I., de Montigny, J., Marck, C., Neuvéglise, C., Talla, E., et al. (2004) · Nature · doi:10.1038/nature02579 · Cited by 1,623 · see citing works
Comparison of Next-Generation Sequencing Systems
Liu, L., Li, Y., Li, S., Hu, N., He, Y., Pong, R., Lin, D., Lü, L., & Law, M. (2012) · BioMed Research International · doi:10.1155/2012/251364 · Cited by 1,605 · see citing works
Programming cells by multiplex genome engineering and accelerated evolution
Wang, H. H., Isaacs, F. J., Carr, P. A., Sun, Z. Z., Xu, G., Forest, C. R., & Church, G. M. (2009) · Nature · doi:10.1038/nature08187 · Cited by 1,529 · see citing works
The evolution of gene duplications: classifying and distinguishing between models
Innan, H., & Kondrashov, F. (2010) · Nature reviews genetics · doi:10.1038/nrg2689 · Cited by 1,320 · see citing works
A Whole-Cell Computational Model Predicts Phenotype from Genotype
Karr, J. R., Sanghvi, J. C., Macklin, D. N., Gutschow, M. V., Jacobs, J. M., Bolival, B., Assad-Garcia, N., Glass, J. I., & Covert, M. W. (2012) · Cell · doi:10.1016/j.cell.2012.05.044 · Cited by 1,300 · cited 1× · see citing works
“Full-scale models of microorganisms are available [185,186] and we can simulate microbial growth.”
A constant rate of spontaneous mutation in DNA-based microbes.
Drake, J. W. (1991) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.88.16.7160 · Cited by 1,199 · see citing works
Genome evolution and adaptation in a long-term experiment with Escherichia coli
Barrick, J. E., Yu, D. S., Yoon, S. H., Jeong, H., Oh, T. K., Schneider, D., Lenski, R. E., & Kim, J. F. (2009) · Nature · doi:10.1038/nature08480 · Cited by 1,184 · see citing works
The second wave of synthetic biology: from modules to systems
Purnick, P. E. M., & Weiss, R. (2009) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm2698 · Cited by 1,181 · see citing works
Synthetic biology: new engineering rules for an emerging discipline
Andrianantoandro, E., Basu, S., Karig, D. K., & Weiss, R. (2006) · Molecular Systems Biology · doi:10.1038/msb4100073 · Cited by 1,081 · see citing works
A comprehensive genome-scale reconstruction of Escherichia coli metabolism—2011
Orth, J. D., Conrad, T. M., Na, J., Lerman, J. A., Nam, H., Feist, A. M., & Palsson, B. Ø. (2011) · Molecular Systems Biology · doi:10.1038/msb.2011.65 · Cited by 1,006 · see citing works
Next-generation DNA sequencing techniques
Ansorge, W. J. (2009) · New Biotechnology · doi:10.1016/j.nbt.2008.12.009 · Cited by 993 · see citing works
Evolution of high mutation rates in experimental populations of E. coli
Sniegowski, P. D., Gerrish, P. J., & Lenski, R. E. (1997) · Nature · doi:10.1038/42701 · Cited by 879 · see citing works
Microbial production of organic acids: expanding the markets
Sauer, M., Porro, D., Mattanovich, D., & Branduardi, P. (2008) · Trends in Biotechnology · doi:10.1016/j.tibtech.2007.11.006 · Cited by 858 · see citing works
Self-citationEscherichia coli K-12 undergoes adaptive evolution to achieve in silico predicted optimal growth
Ibarra, R. U., Edwards, J. S., & Palsson, B. O. (2002) · Nature · doi:10.1038/nature01149 · Cited by 857 · cited 2× · see citing works
“Subsequently, it was shown that suboptimal growth on glycerol can approach its theoretical maximum during laboratory evolution [65].”
BackgroundBlount, Z. D., Borland, C. Z., & Lenski, R. E. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0803151105 · Cited by 840 · see citing works
Engineering Yeast Transcription Machinery for Improved Ethanol Tolerance and Production
Alper, H., Moxley, J., Nevoigt, E., Fink, G. R., & Stephanopoulos, G. (2006) · Science · doi:10.1126/science.1131969 · Cited by 823 · cited 2× · see citing works
“Microbial cells are of special importance for biotechnological applications and bacteria and yeasts are used for many biotechnological tasks, ranging from biofuel production [1-3], commodity chemical synthesis [4,5], through to the production of industrial and biopharmaceutical proteins [6-8].”
BackgroundResultThe Molecular Diversity of Adaptive Convergence
Tenaillon, O., Rodríguez-Verdugo, A., Gaut, R. L., McDonald, P., Bennett, A. F., Long, A. D., & Gaut, B. S. (2012) · Science · doi:10.1126/science.1212986 · Cited by 815 · see citing works
Optimality and evolutionary tuning of the expression level of a protein
Dekel, E., & Alon, U. (2005) · Nature · doi:10.1038/nature03842 · Cited by 766 · see citing works
Hsp90 Potentiates the Rapid Evolution of New Traits: Drug Resistance in Diverse Fungi
Cowen, L. E., & Lindquist, S. (2005) · Science · doi:10.1126/science.1118370 · Cited by 698 · see citing works
Experimental evolution of bet hedging
Beaumont, H. J. E., Gallie, J., Kost, C., Ferguson, G. C., & Rainey, P. B. (2009) · Nature · doi:10.1038/nature08504 · Cited by 665 · see citing works
Enzyme promiscuity: evolutionary and mechanistic aspects
Khersonsky, O., Roodveldt, C., & Tawfik, D. S. (2006) · Current Opinion in Chemical Biology · doi:10.1016/j.cbpa.2006.08.011 · Cited by 641 · see citing works
Potential and utilization of thermophiles and thermostable enzymes in biorefining
Turner, P., Mamo, G., & Karlsson, E. N. (2007) · Microbial Cell Factories · doi:10.1186/1475-2859-6-9 · Cited by 635 · see citing works
Microbial competition: Escherichia coli mutants that take over stationary phase cultures.
Zambrano, M., Siegele, D., Almirón, M., Tormo, A., & Kolter, R. (1993) · Science · doi:10.1126/science.7681219 · Cited by 588 · see citing works
Adaptive prediction of environmental changes by microorganisms
Mitchell, A., Romano, G. H., Groisman, B., Yona, A., Dekel, E., Kupiec, M., Dahan, O., & Pilpel, Y. (2009) · Nature · doi:10.1038/nature08112 · Cited by 581 · see citing works
Dunham, M. J., Badrane, H., Ferea, T., Adams, J., Brown, P. O., Rosenzweig, F., & Botstein, D. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.242624799 · Cited by 564 · see citing works
Coordination of Growth Rate, Cell Cycle, Stress Response, and Metabolic Activity in Yeast
Brauer, M. J., Huttenhower, C., Airoldi, E. M., Rosenstein, R., Matese, J. C., Gresham, D., Boer, V. M., Troyanskaya, O. G., & Botstein, D. (2008) · Molecular Biology of the Cell · doi:10.1091/mbc.e07-08-0779 · Cited by 558 · see citing works
The population genetics of ecological specialization in evolving Escherichia coli populations
Cooper, V. S., & Lenski, R. E. (2000) · Nature · doi:10.1038/35037572 · Cited by 519 · cited 1× · see citing works
“coli [35], whereas other studies reported improved growth on many non-evolutionary carbon sources after batch selection with gluconeogenic carbon sources [66,67].”
BackgroundPredictive Behavior Within Microbial Genetic Networks
Tagkopoulos, I., Liu, Y.-C., & Tavazoie, S. (2008) · Science · doi:10.1126/science.1154456 · Cited by 519 · see citing works
Long-term survival during stationary phase: evolution and the GASP phenotype
Finkel, S. E. (2006) · Nature Reviews Microbiology · doi:10.1038/nrmicro1340 · Cited by 508 · see citing works
Costs and Benefits of High Mutation Rates: Adaptive Evolution of Bacteria in the Mouse Gut
Giraud, A., Matić, I., Tenaillon, O., Clara, A., Radman, M., Fons, M., & Taddéi, F. (2001) · Science · doi:10.1126/science.1056421 · Cited by 482 · see citing works
Systematic changes in gene expression patterns following adaptive evolution in yeast
Ferea, T., Botstein, D., Brown, P. O., & Rosenzweig, R. F. (1999) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.96.17.9721 · Cited by 479 · see citing works
Barton, N. (2000) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2000.0716 · Cited by 475 · see citing works
Microbial factories for recombinant pharmaceuticals
Ferrer‐Miralles, N., Domingo‐Espín, J., Corchero, J. L., Vázquez, E., & Villaverde, A. (2009) · Microbial Cell Factories · doi:10.1186/1475-2859-8-17 · Cited by 465 · see citing works
Cooper, T. F., Rozen, D. E., & Lenski, R. E. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0334340100 · Cited by 440 · see citing works
Gene duplication and the adaptive evolution of a classic genetic switch
Hittinger, C. T., & Carroll, S. B. (2007) · Nature · doi:10.1038/nature06151 · Cited by 439 · see citing works
Ohno's dilemma: Evolution of new genes under continuous selection
Bergthorsson, U., Andersson, D. I., & Roth, J. R. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0707158104 · Cited by 405 · cited 1× · see citing works
“Whereas there is an ongoing debate about the long-term fixation of gene duplications, either by their selective advantage under selection pressure, or by selective neutrality and fixation by random drift, they are a prerequisite for the development of novel molecular functions [129-131].”
BackgroundLaboratory evolution of copper tolerant yeast strains
Adamo, G. M., Brocca, S., Passolunghi, S., Salvato, B., & Lotti, M. (2012) · Microbial Cell Factories · doi:10.1186/1475-2859-11-1 · Cited by 392 · see citing works
Horizontal gene transfer in evolution: facts and challenges
Boto, L. (2010) · Proceedings of the Royal Society B: Biological Sciences · doi:10.1098/rspb.2009.1679 · Cited by 379 · cited 1× · see citing works
“Nevertheless, the role of HGT in natural evolution remains a controversial topic [133].”
BackgroundNext-generation synthetic gene networks
Lu, T. K., Khalil, A. S., & Collins, J. J. (2009) · Nature Biotechnology · doi:10.1038/nbt.1591 · Cited by 365 · see citing works
Optimization and scale up of industrial fermentation processes
Schmidt, F. R. (2005) · Applied Microbiology and Biotechnology · doi:10.1007/s00253-005-0003-0 · Cited by 362 · see citing works
Gene Copy-Number Alterations: A Cost-Benefit Analysis
Tang, Y.-C., & Amon, A. (2013) · Cell · doi:10.1016/j.cell.2012.11.043 · Cited by 348 · see citing works
Hsp90 and Environmental Stress Transform the Adaptive Value of Natural Genetic Variation
Jarosz, D. F., & Lindquist, S. (2010) · Science · doi:10.1126/science.1195487 · Cited by 346 · see citing works
Resurrecting ancestral alcohol dehydrogenases from yeast
Thomson, J. M., Gaucher, E. A., Burgan, M. F., De Kee, D. W., Li, T., Aris, J. P., & Benner, S. A. (2005) · Nature Genetics · doi:10.1038/ng1553 · Cited by 341 · see citing works
Evolutionary engineering of mixed-sugar utilization by a xylose-fermenting strain
KUYPER, M., TOIRKENS, M., DIDERICH, J., WINKLER, A., VANDIJKEN, J., & PRONK, J. (2005) · FEMS Yeast Research · doi:10.1016/j.femsyr.2005.04.004 · Cited by 341 · see citing works
Mutational robustness can facilitate adaptation
Draghi, J. A., Parsons, T. L., Wagner, G. P., & Plotkin, J. B. (2010) · Nature · doi:10.1038/nature08694 · Cited by 336 · see citing works
Rancati, G. I., Pavelka, N., Fleharty, B., Noll, A. C., Trimble, R., Walton, K., Perera, A. G., Staehling‐Hampton, K., Seidel, C. W., & Li, R. (2008) · Cell · doi:10.1016/j.cell.2008.09.039 · Cited by 335 · see citing works
Second-Order Selection for Evolvability in a Large <i>Escherichia coli</i> Population
Woods, R. J., Barrick, J. E., Cooper, T. F., Shrestha, U., Kauth, M. R., & Lenski, R. E. (2011) · Science · doi:10.1126/science.1198914 · Cited by 328 · see citing works
Selmecki, A. M., Dulmage, K., Cowen, L. E., Anderson, J. B., & Berman, J. (2009) · PLoS Genetics · doi:10.1371/journal.pgen.1000705 · Cited by 319 · see citing works
Kao, K. C., & Sherlock, G. J. (2008) · Nature Genetics · doi:10.1038/ng.280 · Cited by 314 · see citing works
Adaptive laboratory evolution — harnessing the power of biology for metabolic engineering
Portnoy, V. A., Bezdan, D., & Zengler, K. (2011) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2011.03.007 · Cited by 309 · see citing works
Evolvability and hierarchy in rewired bacterial gene networks
Isalan, M., Lemerle, C., Michalodimitrakis, K., Horn, C., Beltrao, P., Raineri, E., Garriga-Canut, M., & Serrano, L. (2008) · Nature · doi:10.1038/nature06847 · Cited by 307 · see citing works
Evolutionary Engineering of Industrially Important Microbial Phenotypes
Sauer, U. (2001) · Advances in biochemical engineering, biotechnology · doi:10.1007/3-540-45300-8_7 · Cited by 297 · see citing works
Evolution, genomic analysis, and reconstruction of isobutanol tolerance in Escherichia coli
Atsumi, S., Wu, T., Machado, I. M. P., Huang, W., Chen, P., Pellegrini, M. A., & Liao, J. C. (2010) · Molecular Systems Biology · doi:10.1038/msb.2010.98 · Cited by 296 · see citing works
Mutation rate dynamics in a bacterial population reflect tension between adaptation and genetic load
Wielgoss, S., Barrick, J. E., Tenaillon, O., Wiser, M. J., Dittmar, W. J., Cruveiller, S., Chane-Woon-Ming, B., Médigue, C., Lenski, R. E., & Schneider, D. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1219574110 · Cited by 292 · see citing works
Zhou, H., Cheng, J.-S., Wang, B. L., Fink, G. R., & Stephanopoulos, G. (2012) · Metabolic Engineering · doi:10.1016/j.ymben.2012.07.011 · Cited by 287 · see citing works
An experimental test of evolutionary trade-offs during temperature adaptation
Bennett, A. F., & Lenski, R. E. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0702117104 · Cited by 285 · see citing works
Microbial laboratory evolution in the era of genome‐scale science
Conrad, T. M., Lewis, N. E., & Palsson, B. Ø. (2011) · Molecular Systems Biology · doi:10.1038/msb.2011.42 · Cited by 279 · see citing works
Pérez-Ortı́n, J. E., Querol, A., Puig, S., & Barrio, E. (2002) · Genome Research · doi:10.1101/gr.436602 · Cited by 272 · see citing works
Extremely thermophilic microorganisms for biomass conversion: status and prospects
Blumer-Schuette, S. E., Kataeva, I., Westpheling, J., Adams, M. W., & Kelly, R. M. (2008) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2008.04.007 · Cited by 269 · see citing works
Fong, S. S., Joyce, A. R., & Palsson, B. Ø. (2005) · Genome Research · doi:10.1101/gr.3832305 · Cited by 265 · cited 1× · see citing works
“coli [35], whereas other studies reported improved growth on many non-evolutionary carbon sources after batch selection with gluconeogenic carbon sources [66,67].”
BackgroundNguyen, V. D., Hatahet, F., Salo, K. E., Enlund, E., Zhang, C., & Ruddock, L. W. (2011) · Microbial Cell Factories · doi:10.1186/1475-2859-10-1 · Cited by 260 · see citing works
Evolution of Evolvability in Gene Regulatory Networks
Crombach, A., & Hogeweg, P. (2008) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000112 · Cited by 256 · see citing works
Hardison, R. C. (2003) · PLoS Biology · doi:10.1371/journal.pbio.0000058 · Cited by 252 · see citing works
Evolutionary Engineering of <i>Saccharomyces cerevisiae</i> for Anaerobic Growth on Xylose
Sonderegger, M., & Sauer, U. (2003) · Applied and Environmental Microbiology · doi:10.1128/aem.69.4.1990-1998.2003 · Cited by 251 · see citing works
Biofuel production in Escherichia coli: the role of metabolic engineering and synthetic biology
Clomburg, J. M., & González, R. (2010) · Applied Microbiology and Biotechnology · doi:10.1007/s00253-010-2446-1 · Cited by 250 · see citing works
Wisselink, H. W., Toirkens, M. J., Wu, Q., Pronk, J. T., & van Maris, A. J. A. (2009) · Applied and Environmental Microbiology · doi:10.1128/aem.02268-08 · Cited by 247 · see citing works
Conrad, T. M., Frazier, M., Joyce, A. R., Cho, B.-K., Knight, E. M., Lewis, N. E., Landick, R., & Palsson, B. Ø. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0911253107 · Cited by 241 · see citing works
Paquin, C., & Adams, J. (1983) · Nature · doi:10.1038/302495a0 · Cited by 239 · cited 1× · see citing works
“Escherichia coli and Saccharomyces cerevisiae being the most prominent organisms under investigation [26-28].”
BackgroundChance and necessity in the evolution of minimal metabolic networks
Pál, C., Papp, B., Lercher, M. J., Csermely, P., Oliver, S. G., & Hurst, L. D. (2006) · Nature · doi:10.1038/nature04568 · Cited by 239 · see citing works
Model-driven evaluation of the production potential for growth-coupled products of Escherichia coli
Feist, A. M., Zielinski, D. C., Orth, J. D., Schellenberger, J., Herrgard, M. J., & Palsson, B. Ø. (2010) · Metabolic Engineering · doi:10.1016/j.ymben.2009.10.003 · Cited by 238 · see citing works
Role of cultivation media in the development of yeast strains for large scale industrial use
Hahn‐Hägerdal, B., Karhumaa, K., Larsson, C. U., Gorwa‐Grauslund, M. F., Görgens, J. F., & van Zyl, W. H. (2005) · Microbial Cell Factories · doi:10.1186/1475-2859-4-31 · Cited by 237 · see citing works
Microbial production of building block chemicals and polymers
Lee, J. W., Kim, H. U., Choi, S., Yi, J., & Lee, S. Y. (2011) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2011.02.011 · Cited by 232 · see citing works
van Maris, A. J. A., Geertman, J.-M. A., Vermeulen, A., Groothuizen, M. K., Winkler, A. A., Piper, M. D. W., van Dijken, J. P., & Pronk, J. T. (2004) · Applied and Environmental Microbiology · doi:10.1128/aem.70.1.159-166.2004 · Cited by 227 · cited 1× · see citing works
“cerevisiae strain with deficient pyruvate decarboxylase activity for high-glucose tolerance [97].”
BackgroundYeasts illustrate the molecular mechanisms of eukaryotic genome evolution
DUJON, B. (2006) · Trends in Genetics · doi:10.1016/j.tig.2006.05.007 · Cited by 224 · see citing works
Comparative genomics of the environmental stress response in ascomycete fungi
Gasch, A. P. (2007) · Yeast · doi:10.1002/yea.1512 · Cited by 210 · see citing works
Fungal secretomes—nature’s toolbox for white biotechnology
Bouws, H., Wattenberg, A., & Zorn, H. (2008) · Applied Microbiology and Biotechnology · doi:10.1007/s00253-008-1572-5 · Cited by 210 · see citing works
Global Transcriptional Programs Reveal a Carbon Source Foraging Strategy by Escherichia coli
Liu, M., Durfee, T., Cabrera, J. E., Zhao, K., Jin, D. J., & Blattner, F. R. (2005) · Journal of Biological Chemistry · doi:10.1074/jbc.m414050200 · Cited by 209 · see citing works
Wisselink, H. W., Toirkens, M. J., del Rosario Franco Berriel, M., Winkler, A. A., van Dijken, J. P., Pronk, J. T., & van Maris, A. J. A. (2007) · Applied and Environmental Microbiology · doi:10.1128/aem.00177-07 · Cited by 209 · see citing works
Evolutionary engineering of multiple-stress resistant
Çakar, Z. P., Şeker, U. Ö. Ş., Tamerler, C., Sonderegger, M., & Sauer, U. (2004) · FEMS Yeast Research · doi:10.1016/j.femsyr.2004.10.010 · Cited by 208 · see citing works
Phylogenetic diversity of stress signalling pathways in fungi
Nikolaou, E., Agrafioti, I., Stumpf, M., Quinn, J., Stansfield, I., & Brown, A. J. (2009) · BMC Evolutionary Biology · doi:10.1186/1471-2148-9-44 · Cited by 206 · see citing works
Maintaining a healthy SPANC balance through regulatory and mutational adaptation
Ferenci, T. (2005) · Molecular Microbiology · doi:10.1111/j.1365-2958.2005.04649.x · Cited by 200 · see citing works
Degeneracy: A design principle for achieving robustness and evolvability
Whitacre, J., & Bender, A. (2010) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2009.11.008 · Cited by 197 · see citing works
Role of selection in fixation of gene duplications
Kondrashov, F. A., & Kondrashov, A. S. (2006) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2005.08.033 · Cited by 195 · cited 2× · see citing works
“Whereas there is an ongoing debate about the long-term fixation of gene duplications, either by their selective advantage under selection pressure, or by selective neutrality and fixation by random drift, they are a prerequisite for the development of novel molecular functions [129-131].”
BackgroundBiotechnology of non-Saccharomyces yeasts—the ascomycetes
Johnson, E. A. (2013) · Applied Microbiology and Biotechnology · doi:10.1007/s00253-012-4497-y · Cited by 193 · see citing works
Relative fitness can decrease in evolving asexual populations of S. cerevisiae
Paquin, C. E., & Adams, J. (1983) · Nature · doi:10.1038/306368a0 · Cited by 188 · see citing works
Minty, J. J., Lesnefsky, A. A., Lin, F., Chen, Y., Zaroff, T. A., Veloso, A. B., Xie, B., McConnell, C. A., Ward, R. J., Schwartz, D. R., et al. (2011) · Microbial Cell Factories · doi:10.1186/1475-2859-10-18 · Cited by 185 · see citing works
Rapid evolution in response to high-temperature selection
Bennett, A. F., Dao, K. M., & Lenski, R. E. (1990) · Nature · doi:10.1038/346079a0 · Cited by 182 · see citing works
Bachmann, H., Starrenburg, M. J. C., Molenaar, D., Kleerebezem, M., & van Hylckama Vlieg, J. E. T. (2012) · Genome Research · doi:10.1101/gr.121285.111 · Cited by 170 · see citing works
Mutations Enhancing Amino Acid Catabolism Confer a Growth Advantage in Stationary Phase
Zinser, E. R., & Kolter, R. (1999) · Journal of Bacteriology · doi:10.1128/jb.181.18.5800-5807.1999 · Cited by 169 · see citing works
Adaptation of<i>Saccharomyces cerevisiae</i>to saline stress through laboratory evolution
DHAR, R., SÄGESSER, R., WEIKERT, C., YUAN, J., & WAGNER, A. (2011) · Journal of Evolutionary Biology · doi:10.1111/j.1420-9101.2011.02249.x · Cited by 165 · see citing works
Hong, K.-K., Vongsangnak, W., Vemuri, G. N., & Nielsen, J. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1103219108 · Cited by 161 · see citing works
Evolutionary insight from whole‐genome sequencing of experimentally evolved microbes
DETTMAN, J. R., RODRIGUE, N., MELNYK, A. H., WONG, A., BAILEY, S. F., & KASSEN, R. (2012) · Molecular Ecology · doi:10.1111/j.1365-294x.2012.05484.x · Cited by 160 · see citing works
Ryall, B., Eydallin, G., & Ferenci, T. (2012) · Microbiology and Molecular Biology Reviews · doi:10.1128/mmbr.05028-11 · Cited by 160 · see citing works
Koppram, R., Albers, E., & Olsson, L. (2012) · Biotechnology for Biofuels · doi:10.1186/1754-6834-5-32 · Cited by 160 · see citing works
Lee, D.-H., & Palsson, B. Ø. (2010) · Applied and Environmental Microbiology · doi:10.1128/aem.00373-10 · Cited by 160 · cited 1× · see citing works
“coli culture could evolve the ability to aerobically utilize citrate [37], or the ability to use the non-natural carbon source 1,2-propanediol [71]; also, a strain deficient in glutathione biosynthesis was able to develop compensatory mutations to restore this function [147].”
BackgroundEvolution of Escherichia coli for Growth at High Temperatures
Rudolph, B., Gebendorfer, K. M., Büchner, J., & Winter, J. (2010) · Journal of Biological Chemistry · doi:10.1074/jbc.m110.103374 · Cited by 156 · see citing works
Regulatory and metabolic rewiring during laboratory evolution of ethanol tolerance in E. coli
Goodarzi, H., Bennett, B. D., Amini, S., Reaves, M. L., Hottes, A. K., Rabinowitz, J. D., & Tavazoie, S. (2010) · Molecular Systems Biology · doi:10.1038/msb.2010.33 · Cited by 155 · see citing works
Hunger Artists: Yeast Adapted to Carbon Limitation Show Trade-Offs under Carbon Sufficiency
Wenger, J. W., Piotrowski, J., Nagarajan, S., Chiotti, K., Sherlock, G., & Rosenzweig, F. (2011) · PLoS Genetics · doi:10.1371/journal.pgen.1002202 · Cited by 154 · see citing works
Evolutionary engineering of Saccharomyces cerevisiae for improved industrially important properties
Çakar, Z. P., Turanlı-Yıldız, B., Alkım, C., & Yılmaz, Ü. (2011) · FEMS Yeast Research · doi:10.1111/j.1567-1364.2011.00775.x · Cited by 152 · see citing works
Lenski, R. E., Mongold, J. A., Sniegowski, P. D., Travisano, M., Vasi, F., Gerrish, P. J., & Schmidt, T. M. (1998) · Antonie van Leeuwenhoek · doi:10.1023/a:1000675521611 · Cited by 152 · see citing works
Transcriptome analysis of parallel-evolved Escherichia coli strains under ethanol stress
Horinouchi, T., Tamaoka, K., Furusawa, C., Ono, N., Suzuki, S., Hirasawa, T., Yomo, T., & Shimizu, H. (2010) · BMC Genomics · doi:10.1186/1471-2164-11-579 · Cited by 151 · see citing works
Sánchez, R. G., Karhumaa, K., Fonseca, C., Nogué, V. S. I., de Almeida, J. R. M., Larsson, C. U., Bengtsson, O., Bettiga, M., Hahn‐Hägerdal, B., & Gorwa‐Grauslund, M. F. (2010) · Biotechnology for Biofuels · doi:10.1186/1754-6834-3-13 · Cited by 149 · see citing works
Dragosits, M., Mozhayskiy, V., Quiñones-Soto, S., Park, J., & Tagkopoulos, I. (2013) · Molecular Systems Biology · doi:10.1038/msb.2012.76 · Cited by 145 · see citing works
Self-citationEvolution of global regulatory networks during a long‐term experiment with<i>Escherichia coli</i>
Philippe, N., Crozat, E., Lenski, R. E., & Schneider, D. (2007) · BioEssays · doi:10.1002/bies.20629 · Cited by 145 · see citing works
Evolutionary rescue and adaptation to abrupt environmental change depends upon the history of stress
Gonzalez, A., & Bell, G. (2012) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2012.0079 · Cited by 142 · see citing works
Cadière, A., Ortiz-Julien, A., Camarasa, C., & Dequin, S. (2011) · Metabolic Engineering · doi:10.1016/j.ymben.2011.01.008 · Cited by 141 · see citing works
Genetic Basis of Growth Adaptation of Escherichia coli after Deletion of pgi, a Major Metabolic Gene
Charusanti, P., Conrad, T. M., Knight, E. M., Venkataraman, K., Fong, N. L., Xie, B., Gao, Y., & Palsson, B. Ø. (2010) · PLoS Genetics · doi:10.1371/journal.pgen.1001186 · Cited by 135 · see citing works
Almario, M. P., Reyes, L. H., & Kao, K. C. (2013) · Biotechnology and Bioengineering · doi:10.1002/bit.24938 · Cited by 133 · see citing works
Corchero, J. L., Gasser, B., Resina, D., Smith, W., Parrilli, E., Vázquez, F., Abasolo, I., Giuliani, M., Jäntti, J., Ferrer, P., et al. (2013) · Biotechnology Advances · doi:10.1016/j.biotechadv.2012.09.001 · Cited by 133 · see citing works
Self-citationImportance of systems biology in engineering microbes for biofuel production
Mukhopadhyay, A., Redding, A. M., Rutherford, B. J., & Keasling, J. D. (2008) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2008.05.003 · Cited by 129 · see citing works
Cooper, T. F., & Lenski, R. E. (2010) · BMC Evolutionary Biology · doi:10.1186/1471-2148-10-11 · Cited by 129 · see citing works
The evolutionary emergence of stochastic phenotype switching in bacteria
Rainey, P. B., Beaumont, H. J. E., Ferguson, G. C., Gallie, J., Kost, C., Libby, E., & Zhang, X. (2011) · Microbial Cell Factories · doi:10.1186/1475-2859-10-s1-s14 · Cited by 127 · see citing works
Dhar, R., Sägesser, R., Weikert, C., & Wagner, A. (2013) · Molecular Biology and Evolution · doi:10.1093/molbev/mss253 · Cited by 126 · see citing works
Jansen, M. L. A., Diderich, J. A., Mashego, M., Hassane, A., de Winde, J. H., Daran-Lapujade, P., & Pronk, J. T. (2005) · Microbiology · doi:10.1099/mic.0.27577-0 · Cited by 126 · see citing works
Perspectives on biotechnological applications of archaea
Schiraldi, C., Giuliano, M., & De Rosa, M. (2002) · Archaea · doi:10.1155/2002/436561 · Cited by 122 · see citing works
Evolution favors protein mutational robustness in sufficiently large populations
Bloom, J. D., Lu, Z., Chen, D., Raval, A., Venturelli, O. S., & Arnold, F. H. (2007) · BMC Biology · doi:10.1186/1741-7007-5-29 · Cited by 119 · see citing works
Impact of ‘ome’ analyses on inverse metabolic engineering
Bro, C., & Nielsen, J. (2004) · Metabolic Engineering · doi:10.1016/j.ymben.2003.11.005 · Cited by 116 · see citing works
Wang, L., Spira, B., Zhou, Z., Feng, L., Maharjan, R. P., Li, X., Li, F., McKenzie, C., Reeves, P. R., & Ferenci, T. (2010) · Genome Biology and Evolution · doi:10.1093/gbe/evq035 · Cited by 114 · see citing works
Microbial diversity and genomics in aid of bioenergy
Kalia, V. C., & Purohit, H. J. (2008) · Journal of Industrial Microbiology & Biotechnology · doi:10.1007/s10295-007-0300-y · Cited by 113 · see citing works
Enatiomerically pure hydroxycarboxylic acids: current approaches and future perspectives
Ren, Q., Ruth, K., Thöny-Meyer, L., & Zinn, M. (2010) · Applied Microbiology and Biotechnology · doi:10.1007/s00253-010-2530-6 · Cited by 113 · see citing works
Whole-genome sequencing of a laboratory-evolved yeast strain
Araya, C. L., Payen, C., Dunham, M. J., & Fields, S. (2010) · BMC Genomics · doi:10.1186/1471-2164-11-88 · Cited by 113 · see citing works
Shen, Y., Chen, X. D., Peng, B., Chen, L., Hou, J., & Bao, X. (2012) · Applied Microbiology and Biotechnology · doi:10.1007/s00253-012-4418-0 · Cited by 112 · see citing works
Reyes, L. H., Almario, M. P., Winkler, J. D., Orozco, M. M., & Kao, K. C. (2012) · Metabolic Engineering · doi:10.1016/j.ymben.2012.05.002 · Cited by 112 · see citing works
Toolbox model of evolution of prokaryotic metabolic networks and their regulation
Maslov, S., Krishna, S., Pang, T. Y., & Sneppen, K. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0903206106 · Cited by 110 · see citing works
Pélosi, L., Kühn, L., Guetta, D., Garin, J., Geiselmann, J., Lenski, R. E., & Schneider, D. (2006) · Genetics · doi:10.1534/genetics.105.049619 · Cited by 110 · see citing works
Notley‐McRobb, L., & Ferenci, T. (1999) · Environmental Microbiology · doi:10.1046/j.1462-2920.1999.00003.x · Cited by 105 · see citing works
Oud, B., Flores, C.-L., Gancedo, C., Zhang, X., Trueheart, J., Daran, J.-M., Pronk, J. T., & van Maris, A. J. (2012) · Microbial Cell Factories · doi:10.1186/1475-2859-11-131 · Cited by 104 · see citing works
Riehle, M. M., Bennett, A. F., Lenski, R. E., & Long, A. D. (2003) · Physiological Genomics · doi:10.1152/physiolgenomics.00034.2002 · Cited by 103 · see citing works
Tremblay, P., Summers, Z. M., Glaven, S. M., Nevin, K. P., Zengler, K., Barrett, C. L., Qiu, Y. L., Palsson, B. Ø., & Lovley, D. R. (2010) · Environmental Microbiology · doi:10.1111/j.1462-2920.2010.02302.x · Cited by 100 · see citing works
Compensatory Evolution of Gene Regulation in Response to Stress by Escherichia coli Lacking RpoS
Stoebel, D. M., Hokamp, K., Last, M. S., & Dorman, C. J. (2009) · PLoS Genetics · doi:10.1371/journal.pgen.1000671 · Cited by 99 · see citing works
Wright, J., Bellissimi, E., de Hulster, E., Wagner, A., Pronk, J. T., & van Maris, A. J. A. (2011) · FEMS Yeast Research · doi:10.1111/j.1567-1364.2011.00719.x · Cited by 98 · see citing works
Multiple mechanisms controlling carbon metabolism in bacteria
Saier, M. H. (1998) · Biotechnology and Bioengineering · doi:10.1002/(sici)1097-0290(19980420)58:2/3 · Cited by 97 · see citing works
Charusanti, P., Fong, N. L., Nagarajan, H., Pereira, A. R., Li, H. J., Abate, E. A., Su, Y., Gerwick, W. H., & Palsson, B. O. (2012) · PLoS ONE · doi:10.1371/journal.pone.0033727 · Cited by 93 · see citing works
Industrial enzymes — Developments in production and application
Falch, E. A. (1991) · Biotechnology Advances · doi:10.1016/0734-9750(91)90736-f · Cited by 93 · see citing works
Evolutionary engineering of Saccharomyces cerevisiae for efficient aerobic xylose consumption
Scalcinati, G., Otero, J. M., Vleet, J. R. H., Jeffries, T. W., Olsson, L., & Nielsen, J. (2012) · FEMS Yeast Research · doi:10.1111/j.1567-1364.2012.00808.x · Cited by 89 · see citing works
Experimental Evolution of a Facultative Thermophile from a Mesophilic Ancestor
Blaby, I. K., Lyons, B. J., Wroclawska-Hughes, E., Phillips, G. C. F., Pyle, T. P., Chamberlin, S. G., Benner, S. A., Lyons, T. J., de Crécy‐Lagard, V., & de Crécy, E. (2011) · Applied and Environmental Microbiology · doi:10.1128/aem.05773-11 · Cited by 86 · see citing works
Oud, B., Maris, A. J. A., Daran, J.-M., & Pronk, J. T. (2012) · FEMS Yeast Research · doi:10.1111/j.1567-1364.2011.00776.x · Cited by 82 · see citing works
Wisselink, H. W., Cipollina, C., Oud, B., Crimi, B., Heijnen, J. J., Pronk, J. T., & van Maris, A. J. A. (2010) · Metabolic Engineering · doi:10.1016/j.ymben.2010.08.003 · Cited by 81 · see citing works
Chen, T., Wang, J., Yang, R., Li, J., Lin, M., & Lin, Z. (2011) · PLoS ONE · doi:10.1371/journal.pone.0016228 · Cited by 81 · see citing works
Dissection of Ire1 Functions Reveals Stress Response Mechanisms Uniquely Evolved in Candida glabrata
Miyazaki, T., Nakayama, H., Nagayoshi, Y., Kakeya, H., & Kohno, S. (2013) · PLoS Pathogens · doi:10.1371/journal.ppat.1003160 · Cited by 78 · see citing works
EFFECTS OF POPULATION SIZE AND MUTATION RATE ON THE EVOLUTION OF MUTATIONAL ROBUSTNESS
Elena, S. F., Wilke, C. O., Ofria, C., & Lenski, R. E. (2007) · Evolution · doi:10.1111/j.1558-5646.2007.00064.x · Cited by 73 · see citing works
Enrichment and Elimination of mutY Mutators in Escherichia coli Populations
McRobb, L. S., Seeto, S., & Ferenci, T. (2002) · Genetics · doi:10.1093/genetics/162.3.1055 · Cited by 73 · see citing works
Strategy of Transcription Regulation in the Budding Yeast
Levy, S., Ihmels, J., Carmi, M., Weinberger, A., Friedlander, G., & Barkai, N. (2007) · PLoS ONE · doi:10.1371/journal.pone.0000250 · Cited by 72 · cited 1× · see citing works
“similar intrinsic sensing mechanism to balance growth and stress resistance [160,161].”
Control of Mixed-Substrate Utilization in Continuous Cultures ofEscherichia coli
Silver, R. S., & MATELES, R. I. (1969) · Journal of Bacteriology · doi:10.1128/jb.97.2.535-543.1969 · Cited by 71 · see citing works
Lee, D., Feist, A. M., Barrett, C. L., & Palsson, B. Ø. (2011) · PLoS ONE · doi:10.1371/journal.pone.0026172 · Cited by 71 · see citing works
EVOLUTIONARY ADAPTATION TO ENVIRONMENTAL pH IN EXPERIMENTAL LINEAGES OF ESCHERICHIA COLI
Hughes, B. S., Cullum, A. J., & Bennett, A. F. (2007) · Evolution · doi:10.1111/j.1558-5646.2007.00139.x · Cited by 71 · see citing works
Divergent adaptation of Escherichia coli to cyclic ultraviolet light exposures
Alcantara-Diaz, D. (2004) · Mutagenesis · doi:10.1093/mutage/geh039 · Cited by 70 · see citing works
Metabolic Characterization of <i>Escherichia coli</i> Strains Adapted to Growth on Lactate
Hua, Q., Joyce, A. R., Palsson, B. Ø., & Fong, S. S. (2007) · Applied and Environmental Microbiology · doi:10.1128/aem.00527-07 · Cited by 67 · see citing works
Kok, S., Nijkamp, J. F., Oud, B., Roque, F. C., Ridder, D., Daran, J.-M., Pronk, J. T., & Maris, A. J. A. (2012) · FEMS Yeast Research · doi:10.1111/j.1567-1364.2011.00787.x · Cited by 65 · see citing works
Weikert, C., Sauer, U., & Bailey, J. E. (1997) · Microbiology · doi:10.1099/00221287-143-5-1567 · Cited by 63 · see citing works
Jansen, M. L. A., Daran-Lapujade, P., de Winde, J. H., Piper, M. D. W., & Pronk, J. T. (2004) · Applied and Environmental Microbiology · doi:10.1128/aem.70.4.1956-1963.2004 · Cited by 62 · see citing works
Crozat, E., Winkworth, C., Gaffe, J., Hallin, P. F., Riley, M. A., Lenski, R. E., & Schneider, D. (2010) · Molecular Biology and Evolution · doi:10.1093/molbev/msq099 · Cited by 62 · see citing works
Gray, J. C., & Goddard, M. R. (2012) · BMC Evolutionary Biology · doi:10.1186/1471-2148-12-43 · Cited by 61 · see citing works
Adamo, G. M., Lotti, M., Tamás, M. J., & Brocca, S. (2012) · Microbiology · doi:10.1099/mic.0.058024-0 · Cited by 60 · see citing works
Quan, S., Ray, J. C. J., Kwota, Z., Duong, T., Balázsi, G., Cooper, T. F., & Monds, R. D. (2012) · PLoS Genetics · doi:10.1371/journal.pgen.1002444 · Cited by 59 · see citing works
Anaplerotic Role for Cytosolic Malic Enzyme in Engineered <i>Saccharomyces cerevisiae</i> Strains
Zelle, R. M., Harrison, J. C., Pronk, J. T., & van Maris, A. J. A. (2011) · Applied and Environmental Microbiology · doi:10.1128/aem.02132-10 · Cited by 58 · see citing works
Microbial experimental evolution
Bennett, A. F., & Hughes, B. S. (2009) · American Journal of Physiology-Regulatory, Integrative and Comparative Physiology · doi:10.1152/ajpregu.90562.2008 · Cited by 58 · see citing works
Çakar, Z. P., Alkım, C., Turanlı-Yıldız, B., Tokman, N., Akman, S., Sarıkaya, M., Tamerler, C., Benbadis, L., & François, J. (2009) · Journal of Biotechnology · doi:10.1016/j.jbiotec.2009.06.024 · Cited by 57 · see citing works
Zhao, J., Xu, L., Wang, Y., Zhao, X., Wang, J., Garza, E., Manow, R., & Zhou, S. (2013) · Microbial Cell Factories · doi:10.1186/1475-2859-12-57 · Cited by 56 · see citing works
Vaupotič, T., & Plemenitaš, A. (2007) · BMC Genomics · doi:10.1186/1471-2164-8-280 · Cited by 56 · see citing works
Prevalence of Escherichia coli Strains Exhibiting Genetic Recombination
Lederberg, J. (1951) · Science · doi:10.1126/science.114.2951.68 · Cited by 53 · see citing works
Laboratory evolution of glutathione biosynthesis reveals natural compensatory pathways
Veeravalli, K., Boyd, D. H., Iverson, B. L., Beckwith, J., & Georgiou, G. (2010) · Nature Chemical Biology · doi:10.1038/nchembio.499 · Cited by 53 · see citing works
Predictive Behavior within Microbial Genetic Networks
Tagkopoulos, I., Liu, Y.-C., & Tavazoie, S. (2009) · Topologica · doi:10.3731/topologica.2.018 · Cited by 53 · see citing works
Strategies for systems‐level metabolic engineering
Kim, T. Y., Sohn, S. B., Kim, H. U., & Lee, S. Y. (2008) · Biotechnology Journal · doi:10.1002/biot.200700240 · Cited by 52 · see citing works
Phosphoenolpyruvate Carboxykinase as the Sole Anaplerotic Enzyme in <i>Saccharomyces cerevisiae</i>
Zelle, R. M., Trueheart, J., Harrison, J. C., Pronk, J. T., & van Maris, A. J. A. (2010) · Applied and Environmental Microbiology · doi:10.1128/aem.01077-10 · Cited by 49 · see citing works
Manché, K., McRobb, L. S., & Ferenci, T. (1999) · Genetics · doi:10.1093/genetics/153.1.5 · Cited by 49 · see citing works
Day, A., Schneider, C., & Schneider, B. L. (2004) · Humana Press eBooks · doi:10.1385/1-59259-646-0:55 · Cited by 48 · see citing works
Mechanistic pathway modeling for industrial biotechnology: challenging but worthwhile
Wiechert, W., & Noack, S. (2011) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2011.01.001 · Cited by 46 · see citing works
Sleight, S. C., Orlic, C., Schneider, D., & Lenski, R. E. (2008) · Genetics · doi:10.1534/genetics.108.091330 · Cited by 46 · see citing works
Avrahami-Moyal, L., Engelberg, D., Wenger, J. W., Sherlock, G., & Braun, S. (2012) · FEMS Yeast Research · doi:10.1111/j.1567-1364.2012.00803.x · Cited by 43 · see citing works
Cadière, A., Aguera, E., Caillé, S., Ortiz-Julien, A., & Dequin, S. (2012) · Food Microbiology · doi:10.1016/j.fm.2012.07.010 · Cited by 41 · see citing works
Correlation between structure and temperature in prokaryotic metabolic networks
Takemoto, K., Nacher, J. C., & Akutsu, T. (2007) · BMC Bioinformatics · doi:10.1186/1471-2105-8-303 · Cited by 40 · see citing works
Summers, Z. M., Ueki, T., Ismail, W., Haveman, S. A., & Lovley, D. R. (2012) · The ISME Journal · doi:10.1038/ismej.2011.166 · Cited by 39 · see citing works
Jiang, L., Li, S., Hu, Y., Xu, Q., & Huang, H. (2012) · Biotechnology and Bioengineering · doi:10.1002/bit.23346 · Cited by 36 · see citing works
Deng, Y., & Fong, S. S. (2011) · Journal of Biological Chemistry · doi:10.1074/jbc.m111.239616 · Cited by 33 · see citing works
Adaptively evolved yeast mutants on galactose show trade-offs in carbon utilization on glucose
Hong, K.-K., & Nielsen, J. (2013) · Metabolic Engineering · doi:10.1016/j.ymben.2013.01.007 · Cited by 33 · see citing works
The role of cellular objectives and selective pressures in metabolic pathway evolution
Nam, H., Conrad, T. M., & Lewis, N. E. (2011) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2011.03.006 · Cited by 32 · see citing works
Lu, L., Wei, L., Zhu, K. Y., Wei, D., & Hua, Q. (2012) · Bioresource Technology · doi:10.1016/j.biortech.2012.03.013 · Cited by 32 · see citing works
Evolutionary Adaptation to Freeze‐Thaw‐Growth Cycles in<i>Escherichia coli</i>
Sleight, S. C., & Lenski, R. E. (2007) · Physiological and Biochemical Zoology · doi:10.1086/518013 · Cited by 32 · see citing works
Notley-McRobb, L., Pinto, R., Seeto, S., & Ferenci, T. (2002) · Journal of Bacteriology · doi:10.1128/jb.184.3.739-745.2002 · Cited by 31 · see citing works
The cost of evolution and the imprecision of adaptation.
Darlington, P. J. (1977) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.74.4.1647 · Cited by 25 · see citing works
Microbial evolution in vivo and in silico: methods and applications
Mozhayskiy, V., & Tagkopoulos, I. (2013) · Integr. Biol. · doi:10.1039/c2ib20095c · Cited by 24 · see citing works
The pH‐auxostat as a tool for studying microbial dynamics in continuous fermentation
Larsson, G., Enfors, S. ‐., & Pham, H. (1990) · Biotechnology and Bioengineering · doi:10.1002/bit.260360303 · Cited by 22 · see citing works
Beyond directed evolution: Darwinian selection as a tool for synthetic biology
Porcar, M. (2010) · Systems and Synthetic Biology · doi:10.1007/s11693-009-9045-4 · Cited by 19 · see citing works
Aldea, M., Herrero, E., ESTEVE, M. I., & Guerrero, R. (1980) · Microbiology · doi:10.1099/00221287-120-2-355 · Cited by 19 · see citing works
In vivo evolutionary engineering of a boron-resistant bacterium: Bacillus boroniphilus
Şen, M., Yılmaz, Ü., Baysal, A., Akman, S., & Çakar, Z. P. (2011) · Antonie van Leeuwenhoek · doi:10.1007/s10482-011-9557-2 · Cited by 18 · see citing works
MIPHENO: data normalization for high throughput metabolite analysis
Bell, S. M., Burgoon, L. D., & Last, R. L. (2012) · BMC Bioinformatics · doi:10.1186/1471-2105-13-10 · Cited by 17 · see citing works
Mozhayskiy, V., & Tagkopoulos, I. (2012) · BMC Bioinformatics · doi:10.1186/1471-2105-13-s10-s10 · Cited by 13 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Engineering Cellular Metabolism
Nielsen, J., & Keasling, J. D. (2016) · Cell · doi:10.1016/j.cell.2016.02.004 · Cited by 1,400 · see citing works
Sandberg, T. E., Salazar, M. J., Weng, L. L., Palsson, B. Ø., & Feist, A. M. (2019) · Metabolic Engineering · doi:10.1016/j.ymben.2019.08.004 · Cited by 558 · see citing works
Sun, X.-M., Ren, L.-J., Zhao, Q.-Y., Ji, X.-J., & Huang, H. (2018) · Biotechnology for Biofuels · doi:10.1186/s13068-018-1275-9 · Cited by 470 · see citing works
Growth of E. coli on formate and methanol via the reductive glycine pathway
Kim, S., Lindner, S. N., Aslan, S., Yishai, O., Wenk, S., Schann, K., & Bar‐Even, A. (2020) · Nature Chemical Biology · doi:10.1038/s41589-020-0473-5 · Cited by 383 · see citing works
Kimchi microflora: history, current status, and perspectives for industrial kimchi production
Jung, J. Y., Lee, S. H., & Jeon, C. O. (2014) · Applied Microbiology and Biotechnology · doi:10.1007/s00253-014-5513-1 · Cited by 333 · see citing works
Calero, P., & Nikel, P. I. (2018) · Microbial Biotechnology · doi:10.1111/1751-7915.13292 · Cited by 324 · see citing works
Engineering Robust Production Microbes for Large-Scale Cultivation
Wehrs, M., Tanjore, D., Eng, T., Lievense, J., Pray, T. R., & Mukhopadhyay, A. (2019) · Trends in Microbiology · doi:10.1016/j.tim.2019.01.006 · Cited by 282 · see citing works
Adaptive laboratory evolution principles and applications in industrial biotechnology
Mavrommati, M., Daskalaki, A., Papanikolaou, S., & Aggelis, G. (2021) · Biotechnology Advances · doi:10.1016/j.biotechadv.2021.107795 · Cited by 269 · see citing works
Metabolic engineering of Pichia pastoris
Peña, D. A., Gasser, B., Zanghellini, J., Steiger, M. G., & Mattanovich, D. (2018) · Metabolic Engineering · doi:10.1016/j.ymben.2018.04.017 · Cited by 260 · see citing works
Self-citationMaintenance and assessment of cell viability in formulation of non‐sporulating bacterial inoculants
Berninger, T., López, O. G., Bejarano, A., Preininger, C., & Sessitsch, A. (2017) · Microbial Biotechnology · doi:10.1111/1751-7915.12880 · Cited by 256 · see citing works
LaCroix, R. A., Sandberg, T. E., O'Brien, E. J., Utrilla, J., Ebrahim, A., Guzmán, G. I., Szubin, R., Palsson, B. Ø., & Feist, A. M. (2014) · Applied and Environmental Microbiology · doi:10.1128/aem.02246-14 · Cited by 254 · see citing works
CRISPR/Cas9 advances engineering of microbial cell factories
Jakočiūnas, T., Jensen, M. K., & Keasling, J. D. (2015) · Metabolic Engineering · doi:10.1016/j.ymben.2015.12.003 · Cited by 218 · see citing works
Barriers and opportunities in bio-based production of hydrocarbons
Zhou, Y. J., Kerkhoven, E. J., & Nielsen, J. (2018) · Nature Energy · doi:10.1038/s41560-018-0197-x · Cited by 213 · see citing works
Recent progress in biohydrometallurgy and microbial characterisation
Kaksonen, A. H., Boxall, N. J., Gumulya, Y., Khaleque, H. N., Morris, C. J., Bohu, T., Cheng, K. Y., Usher, K. M., & Lakaniemi, A. (2018) · Hydrometallurgy · doi:10.1016/j.hydromet.2018.06.018 · Cited by 211 · see citing works
Zymomonas mobilis: a novel platform for future biorefineries
He, M., Wu, B., Qin, H., Ruan, Z., Tan, F., Wang, J., Shui, Z., Dai, L., Zhu, Q., Pan, K., et al. (2014) · Biotechnology for Biofuels · doi:10.1186/1754-6834-7-101 · Cited by 203 · see citing works
New Insights on Steroid Biotechnology
Fernández‐Cabezón, L., Galán, B., & García, J. L. (2018) · Frontiers in Microbiology · doi:10.3389/fmicb.2018.00958 · Cited by 200 · see citing works
Bioproducts From Euglena gracilis: Synthesis and Applications
Gissibl, A., Sun, A., Care, A., Nevalainen, H. K. M., & Sunna, A. (2019) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2019.00108 · Cited by 199 · see citing works
Towards sustainability of lactic acid and poly-lactic acid polymers production
Djukić‐Vuković, A., Mladenović, D. D., Ivanović, J. Z., Pejin, J. D., & Mojović, L. V. (2019) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2019.03.050 · Cited by 194 · see citing works
Lactic Acid Bacteria in Wine: Technological Advances and Evaluation of Their Functional Role
Virdis, C., Sumby, K. M., Bartowsky, E. J., & Jiranek, V. (2021) · Frontiers in Microbiology · doi:10.3389/fmicb.2020.612118 · Cited by 192 · see citing works
Recent progress in genetically modified microalgae for enhanced carbon dioxide sequestration
Barati, B., Zeng, K., Baeyens, J., Wang, S., Addy, M., Gan, S. Y., & Abomohra, A. (2020) · Biomass and Bioenergy · doi:10.1016/j.biombioe.2020.105927 · Cited by 187 · see citing works
Devi, A., Singh, A., Bajar, S., Pant, D., & Din, Z. U. (2021) · Journal of environmental chemical engineering · doi:10.1016/j.jece.2021.105798 · Cited by 185 · see citing works
Dourou, M., Aggeli, D., Papanikolaou, S., & Aggelis, G. (2018) · Applied Microbiology and Biotechnology · doi:10.1007/s00253-018-8813-z · Cited by 178 · see citing works
Diverse genetic error modes constrain large-scale bio-based production
Rugbjerg, P., Myling-Petersen, N., Porse, A., Sarup-Lytzen, K., & Sommer, M. O. A. (2018) · Nature Communications · doi:10.1038/s41467-018-03232-w · Cited by 175 · see citing works
Mans, R., Daran, J.-M. G., & Pronk, J. T. (2017) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2017.10.011 · Cited by 167 · see citing works
Yeast's balancing act between ethanol and glycerol production in low‐alcohol wines
Goold, H. D., Kroukamp, H., Williams, T. C., Paulsen, I. T., Varela, C., & Pretorius, I. S. (2017) · Microbial Biotechnology · doi:10.1111/1751-7915.12488 · Cited by 165 · see citing works
Sandberg, T. E., Pedersen, M., LaCroix, R. A., Ebrahim, A., Bonde, M., Herrgård, M. J., Palsson, B. Ø., Sommer, M. O. A., & Feist, A. M. (2014) · Molecular Biology and Evolution · doi:10.1093/molbev/msu209 · Cited by 160 · see citing works
Wallace-Salinas, V., & Gorwa‐Grauslund, M. F. (2013) · Biotechnology for Biofuels · doi:10.1186/1754-6834-6-151 · Cited by 155 · see citing works
Production of polyunsaturated fatty acids by Schizochytrium (Aurantiochytrium) spp.
Chi, G., Xu, Y., Cao, X., Li, Z., Cao, M., Yusuf Chisti, B., & He, N. (2021) · Biotechnology Advances · doi:10.1016/j.biotechadv.2021.107897 · Cited by 153 · see citing works
Omics-Driven Biotechnology for Industrial Applications
Amer, B., & Baidoo, E. E. K. (2021) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2021.613307 · Cited by 148 · see citing works
Sun, X., Ren, L., Bi, Z.-Q., Ji, X., Zhao, Q., Jiang, L., & Huang, H. (2018) · Biotechnology for Biofuels · doi:10.1186/s13068-018-1065-4 · Cited by 145 · see citing works
ALEdb 1.0: a database of mutations from adaptive laboratory evolution experimentation
Phaneuf, P. V., Gosting, D., Palsson, B. Ø., & Feist, A. M. (2018) · Nucleic Acids Research · doi:10.1093/nar/gky983 · Cited by 145 · see citing works
Li, W., Jayakody, L. N., Franden, M. A., Wehrmann, M., Daun, T., Hauer, B., Blank, L. M., Beckham, G. T., Klebensberger, J., & Wierckx, N. J. P. (2019) · Environmental Microbiology · doi:10.1111/1462-2920.14703 · Cited by 145 · see citing works
Peroxisome compartmentalization of a toxic enzyme improves alkaloid production
Grewal, P. S., Samson, J. A., Baker, J. J., Choi, B., & Dueber, J. E. (2020) · Nature Chemical Biology · doi:10.1038/s41589-020-00668-4 · Cited by 142 · see citing works
Increased production of L-serine in Escherichia coli through Adaptive Laboratory Evolution
Mundhada, H., Seoane, J. M., Schneider, K. P., Koza, A., Christensen, H. B., Klein, T., Phaneuf, P. V., Herrgård, M. J., Feist, A. M., & Nielsen, A. T. (2016) · Metabolic Engineering · doi:10.1016/j.ymben.2016.11.008 · Cited by 141 · see citing works
Current Status and Applications of Adaptive Laboratory Evolution in Industrial Microorganisms
Lee, S., & Kim, P. (2020) · Journal of Microbiology and Biotechnology · doi:10.4014/jmb.2003.03072 · Cited by 127 · see citing works
Prospective directions for biohydrometallurgy
Kaksonen, A. H., Deng, X., Bohu, T., Zea, L., Khaleque, H. N., Gumulya, Y., Boxall, N. J., Morris, C. J., & Cheng, K. Y. (2020) · Hydrometallurgy · doi:10.1016/j.hydromet.2020.105376 · Cited by 124 · see citing works
Tremblay, P., Höglund, D., Koza, A., Bonde, I., & Zhang, T. (2015) · Scientific Reports · doi:10.1038/srep16168 · Cited by 122 · see citing works
In a quest for engineering acidophiles for biomining applications: challenges and opportunities
Gumulya, Y., Boxall, N. J., Khaleque, H. N., Santala, V. P., Carlson, R. P., & Kaksonen, A. H. (2018) · Genes · doi:10.3390/genes9020116 · Cited by 120 · see citing works
Engineering Robustness of Microbial Cell Factories
Gong, Z., Nielsen, J., & Zhou, Y. J. (2017) · Biotechnology Journal · doi:10.1002/biot.201700014 · Cited by 117 · see citing works
Recent progress in adaptive laboratory evolution of industrial microorganisms
Wang, G., Li, Q., Zhang, Z., Yin, X., Wang, B., & Yang, X. (2022) · Journal of Industrial Microbiology & Biotechnology · doi:10.1093/jimb/kuac023 · Cited by 116 · see citing works
Bator, I., Wittgens, A., Rosenau, F., Tiso, T., & Blank, L. M. (2020) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2019.00480 · Cited by 112 · see citing works
Microbial synthesis gas utilization and ways to resolve kinetic and mass-transfer limitations
Yasin, M., Jeong, Y., Park, S., Jeong, J., Lee, E. Y., Lovitt, R. W., Kim, B. H., Lee, J., & Chang, I. S. (2014) · Bioresource Technology · doi:10.1016/j.biortech.2014.11.022 · Cited by 111 · see citing works
Radek, A., Tenhaef, N., Müller, M., Brüsseler, C., Wiechert, W., Marienhagen, J., Polen, T., & Noack, S. (2017) · Bioresource Technology · doi:10.1016/j.biortech.2017.05.055 · Cited by 111 · see citing works
Advanced strategies and tools to facilitate and streamline microbial adaptive laboratory evolution
Wu, Y., Jameel, A., Xing, X., & Zhang, C. (2021) · Trends in biotechnology · doi:10.1016/j.tibtech.2021.04.002 · Cited by 111 · see citing works
Xylose fermentation as a challenge for commercialization of lignocellulosic fuels and chemicals
Nogué, V. S. I., & Karhumaa, K. (2014) · Biotechnology Letters · doi:10.1007/s10529-014-1756-2 · Cited by 110 · see citing works
Sun, X., Ren, L., Ji, X., Chen, S., Guo, D., & Huang, H. (2016) · Bioresource Technology · doi:10.1016/j.biortech.2016.03.093 · Cited by 109 · see citing works
Yoneda, A., Henson, W. R., Goldner, N. K., Park, K. J., Forsberg, K. J., Kim, S. J., Pesesky, M. W., Foston, M. B., Dantas, G. A., & Moon, T. S. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkw055 · Cited by 108 · see citing works
Vitamin B6 metabolism in microbes and approaches for fermentative production
Rosenberg, J., Ischebeck, T., & Commichau, F. M. (2016) · Biotechnology Advances · doi:10.1016/j.biotechadv.2016.11.004 · Cited by 108 · see citing works
Lin, J., Wagner, J. M., & Alper, H. S. (2017) · Biotechnology Advances · doi:10.1016/j.biotechadv.2017.07.005 · Cited by 108 · see citing works
Adaptive evolution of genomically recoded Escherichia coli
Wannier, T. M., Kunjapur, A. M., Rice, D. P., McDonald, M. J., Desai, M. M., & Church, G. M. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1715530115 · Cited by 107 · see citing works
Engineering yeast for the production of plant terpenoids using synthetic biology approaches
Bureau, J.-A., Oliva, M. E., Dong, Y., & Ignea, C. (2023) · Natural Product Reports · doi:10.1039/d3np00005b · Cited by 107 · see citing works
Arora, N., Yen, H., & Philippidis, G. P. (2020) · Sustainability · doi:10.3390/su12125125 · Cited by 105 · see citing works
Generation of an Escherichia coli strain growing on methanol via the ribulose monophosphate cycle
Keller, P., Reiter, M. A., Kiefer, P., Gassler, T., Hemmerle, L., Christen, P., Noor, Ε., & Vorholt, J. A. (2022) · Nature Communications · doi:10.1038/s41467-022-32744-9 · Cited by 105 · see citing works
A Model for Designing Adaptive Laboratory Evolution Experiments
LaCroix, R. A., Palsson, B. Ø., & Feist, A. M. (2017) · Applied and Environmental Microbiology · doi:10.1128/aem.03115-16 · Cited by 103 · see citing works
Basiony, M., Ouyang, L., Wang, D., Yu, J., Zhou, L., Zhu, M., Wang, X., Feng, J., Dai, J., Shen, Y., et al. (2022) · Synthetic and Systems Biotechnology · doi:10.1016/j.synbio.2022.01.002 · Cited by 102 · see citing works
Synthetic Evolution of Metabolic Productivity Using Biosensors
Williams, T. C., Pretorius, I. S., & Paulsen, I. T. (2016) · Trends in biotechnology · doi:10.1016/j.tibtech.2016.02.002 · Cited by 101 · see citing works
Engineering reduced evolutionary potential for synthetic biology
Renda, B. A., Hammerling, M. J., & Barrick, J. E. (2014) · Molecular BioSystems · doi:10.1039/c3mb70606k · Cited by 99 · see citing works
Implications of new research and technologies for malolactic fermentation in wine
Sumby, K. M., Grbin, P. R., & Jiranek, V. (2014) · Applied Microbiology and Biotechnology · doi:10.1007/s00253-014-5976-0 · Cited by 98 · see citing works
Sandberg, T. E., Lloyd, C. J., Palsson, B. Ø., & Feist, A. M. (2017) · Applied and Environmental Microbiology · doi:10.1128/aem.00410-17 · Cited by 96 · see citing works
Current status and future prospective of bio-ethanol industry in China
Wu, B., Wang, Y., Dai, Y., Song, C., Zhu, Q., Qin, H., Tan, F., Chen, C., Dai, L., Hu, G., et al. (2021) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2021.111079 · Cited by 96 · see citing works
Enhanced astaxanthin production in yeast via combined mutagenesis and evolution
Jiang, G., Yang, Z., Wang, Y., Yao, M., Chen, Y., Xiao, W., & Yuan, Y. (2020) · Biochemical Engineering Journal · doi:10.1016/j.bej.2020.107519 · Cited by 95 · see citing works
Unraveling 1,4-Butanediol Metabolism in Pseudomonas putida KT2440
Li, W., Narančić, T., Kenny, S. T., Niehoff, P.-J., O’Connor, K. E., Blank, L. M., & Wierckx, N. J. P. (2020) · Frontiers in Microbiology · doi:10.3389/fmicb.2020.00382 · Cited by 95 · see citing works
Liu, Y., Li, J., Du, G., Chen, J., & Liu, L. (2016) · Biotechnology Advances · doi:10.1016/j.biotechadv.2016.11.003 · Cited by 95 · see citing works
Wen, Z., Ledesma‐Amaro, R., Lin, J., Jiang, Y., & Yang, S. (2019) · Applied and Environmental Microbiology · doi:10.1128/aem.02560-18 · Cited by 94 · see citing works
Laboratory evolution strategies for improving lipid accumulation in Yarrowia lipolytica
Daskalaki, A., Perdikouli, N., Aggeli, D., & Aggelis, G. (2019) · Applied Microbiology and Biotechnology · doi:10.1007/s00253-019-10088-7 · Cited by 91 · see citing works
Recent Developments in Lignocellulosic Biofuels, a Renewable Source of Bioenergy
Rai, A. K., Al Makishah, N. H., Wen, Z., Gupta, G., Pandit, S., & Prasad, R. (2022) · Fermentation · doi:10.3390/fermentation8040161 · Cited by 90 · see citing works
Algal Cell Factories: Approaches, Applications, and Potentials
Fu, W., Chaiboonchoe, A., Khraiwesh, B., Nelson, D. R., Al-Khairy, D., Mystikou, A., Alzahmi, A. S., & Salehi‐Ashtiani, K. (2016) · Marine Drugs · doi:10.3390/md14120225 · Cited by 90 · see citing works
Automated in vivo enzyme engineering accelerates biocatalyst optimization
Orsi, E., von Borzyskowski, L. S., Noack, S., Nikel, P. I., & Lindner, S. N. (2024) · Nature Communications · doi:10.1038/s41467-024-46574-4 · Cited by 90 · see citing works
Long, C. P., Gonzalez, J. E., Feist, A. M., Palsson, B. Ø., & Antoniewicz, M. R. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1716056115 · Cited by 88 · see citing works
Next-Generation Probiotics and Chronic Diseases: A Review of Current Research and Future Directions
Tiwari, A. K., Krisnawati, D. I., Susilowati, E., Mutalik, C., & Kuo, T. (2024) · Journal of Agricultural and Food Chemistry · doi:10.1021/acs.jafc.4c08702 · Cited by 88 · see citing works
Efficient malic acid production from glycerol with Ustilago trichophora TZ1
Zambanini, T., Sarikaya, E., Kleineberg, W., Buescher, J. M., Meurer, G., Wierckx, N. J. P., & Blank, L. M. (2016) · Biotechnology for Biofuels · doi:10.1186/s13068-016-0483-4 · Cited by 88 · see citing works
Deciphering and engineering photosynthetic cyanobacteria for heavy metal bioremediation
Cui, J., Xie, Y., Sun, T., Chen, L., & Zhang, W. (2020) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2020.144111 · Cited by 87 · see citing works
Towards estimating the number of strains that make up a natural bacterial population
Viver, T., Conrad, R. E., Rodriguez‐R, L. M., Ramírez, A. S., Venter, S. N., Rocha-Cárdenas, J., Llabrés, M., Amann, R., Konstantinidis, K. T., & Rossello-Mora, R. A. (2024) · Nature Communications · doi:10.1038/s41467-023-44622-z · Cited by 86 · see citing works
Yi, Z., Xu, M., Magnúsdóttir, M., Zhang, Y., Brynjólfsson, S., & Fu, W. (2015) · Marine Drugs · doi:10.3390/md13106138 · Cited by 86 · see citing works
Wang, D., Ju, X.-M., Zhou, D., & Wei, G. (2014) · Bioresource Technology · doi:10.1016/j.biortech.2014.04.036 · Cited by 85 · see citing works
EPA and DHA in microalgae: Health benefits, biosynthesis, and metabolic engineering advances
Jesionowska, M., Ovadia, J., Hockemeyer, K., Clews, A. C., & Xu, Y. (2023) · Journal of the American Oil Chemists Society · doi:10.1002/aocs.12718 · Cited by 84 · see citing works
Evolution reveals a glutathione-dependent mechanism of 3-hydroxypropionic acid tolerance
Kildegaard, K. R., Hallström, B. M., Blicher, T. H., Sonnenschein, N., Jensen, N. B., Sherstyk, S., Harrison, S. J., Maury, J., Herrgård, M. J., Juncker, A. S., et al. (2014) · Metabolic Engineering · doi:10.1016/j.ymben.2014.09.004 · Cited by 83 · see citing works
Shimizu, K., & Matsuoka, Y. (2019) · Biotechnology Advances · doi:10.1016/j.biotechadv.2019.107441 · Cited by 81 · see citing works
Shui, Z.-X., Qin, H., Wu, B., Ruan, Z., Wang, L.-S., Tan, F., Wang, J., Tang, X., Dai, L., Hu, G., et al. (2015) · Applied Microbiology and Biotechnology · doi:10.1007/s00253-015-6616-z · Cited by 80 · see citing works
Directed Enzyme Evolution: Advances and Applications
Alcalde, M. (2017) · Springer eBooks · doi:10.1007/978-3-319-50413-1 · Cited by 80 · see citing works
Acid-Adapted Strains of Escherichia coli K-12 Obtained by Experimental Evolution
Harden, M. M., He, A., Creamer, K. E., Clark, M. W., Hamdallah, I., Martinez, K. A., Kresslein, R. L., Bush, S. P., & Slonczewski, J. L. (2015) · Applied and Environmental Microbiology · doi:10.1128/aem.03494-14 · Cited by 79 · see citing works
Recent advances in lactic acid production by lactic acid bacteria
Tian, X., Chen, H., Liu, H., & Chen, J. (2021) · Applied Biochemistry and Biotechnology · doi:10.1007/s12010-021-03672-z · Cited by 78 · see citing works
Pardo, I., Jha, R. K., Bermel, R. E., Bratti, F., Gaddis, M., McIntyre, E., Michener, W. E., Neidle, E. L., Dale, T., Beckham, G. T., et al. (2020) · Metabolic Engineering · doi:10.1016/j.ymben.2020.09.009 · Cited by 77 · see citing works
Elazzazy, A. M., Baeshen, M. N., Alasmi, K. M., Alqurashi, S. I., Desouky, S. E., & Khattab, S. M. R. (2025) · Microorganisms · doi:10.3390/microorganisms13030566 · Cited by 77 · see citing works
Experimental Evolution as a Tool to Investigate Natural Processes and Molecular Functions
Remigi, P., Masson‐Boivin, C., & Rocha, E. P. C. (2019) · Trends in Microbiology · doi:10.1016/j.tim.2019.02.003 · Cited by 76 · see citing works
Adaptive Laboratory Evolution for algal strain improvement: methodologies and applications
LaPanse, A. J., Krishnan, A., & Posewitz, M. C. (2020) · Algal Research · doi:10.1016/j.algal.2020.102122 · Cited by 76 · see citing works
Oide, S., Gunji, W., Moteki, Y., Yamamoto, S., Suda, M., Jojima, T., Yukawa, H., & Inui, M. (2015) · Applied and Environmental Microbiology · doi:10.1128/aem.03973-14 · Cited by 76 · see citing works
Kato, Y., Ho, S., Vavricka, C. J., Chang, J., Hasunuma, T., & Kondo, A. (2017) · Bioresource Technology · doi:10.1016/j.biortech.2017.06.035 · Cited by 75 · see citing works
Adaptive Laboratory Evolution of Eubacterium limosum ATCC 8486 on Carbon Monoxide
Kang, S., Song, Y., Jin, S., Shin, J., Bae, J., Kim, D. R., Lee, J.-K., Kim, S. C., Cho, S., & Cho, B. (2020) · Frontiers in Microbiology · doi:10.3389/fmicb.2020.00402 · Cited by 74 · see citing works
Evolution of gene knockout strains of E. coli reveal regulatory architectures governed by metabolism
McCloskey, D., Xu, S., Sandberg, T. E., Brunk, E., Hefner, Y., Szubin, R., Feist, A. M., & Palsson, B. Ø. (2018) · Nature Communications · doi:10.1038/s41467-018-06219-9 · Cited by 73 · see citing works
Zhu, T., Zhao, T., Bankefa, O. E., & Li, Y. (2019) · Biotechnology Advances · doi:10.1016/j.biotechadv.2019.107467 · Cited by 73 · see citing works
Biotechnological Importance of Torulaspora delbrueckii: From the Obscurity to the Spotlight
Fernandes, T., Silva-Sousa, F., Pereira, P., Rito, T., Soares, P. A., Franco‐Duarte, R., & Sousa, M. J. (2021) · Journal of Fungi · doi:10.3390/jof7090712 · Cited by 73 · see citing works
Advances in mechanisms and modifications for rendering yeast thermotolerance
Gao, L., Liu, Y., Sun, H., Li, C., Zhao, Z., & Liu, G. (2016) · Journal of Bioscience and Bioengineering · doi:10.1016/j.jbiosc.2015.11.002 · Cited by 71 · see citing works
Efficient itaconic acid production from glycerol with Ustilago vetiveriae TZ1
Zambanini, T., Tehrani, H. H., Geiser, E., Merker, D., Schleese, S., Krabbe, J., Buescher, J. M., Meurer, G., Wierckx, N. J. P., & Blank, L. M. (2017) · Biotechnology for Biofuels · doi:10.1186/s13068-017-0809-x · Cited by 71 · see citing works
Coupling S-adenosylmethionine–dependent methylation to growth: Design and uses
Luo, H., Hansen, A. S. L., Yang, L., Schneider, K. P., Kristensen, M., Christensen, U., Christensen, H. B., Du, B., Özdemir, E., Feist, A. M., et al. (2019) · PLoS Biology · doi:10.1371/journal.pbio.2007050 · Cited by 71 · see citing works
Screening, acclimation and ammonia tolerance of microalgae grown in food waste digestate
Chuka-ogwude, D., Ogbonna, J. C., Borowitzka, M. A., & Moheimani, N. R. (2020) · Journal of Applied Phycology · doi:10.1007/s10811-020-02276-0 · Cited by 70 · see citing works
Directed evolution and synthetic biology applications to microbial systems
Bassalo, M. C., Liu, R., & Gill, R. T. (2016) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2016.03.016 · Cited by 70 · see citing works
Microbial production of riboflavin: Biotechnological advances and perspectives
You, J., Pan, X., Chen, Y., Du, Y., Osire, T., Yang, T., Zhang, X., Xu, M., Xu, G., & Rao, Z. (2021) · Metabolic Engineering · doi:10.1016/j.ymben.2021.08.009 · Cited by 69 · see citing works
Exploiting unconventional prokaryotic hosts for industrial biotechnology
Blombach, B., Grünberger, A., Centler, F., Wierckx, N. J. P., & Schmid, J. (2021) · Trends in biotechnology · doi:10.1016/j.tibtech.2021.08.003 · Cited by 69 · see citing works
Evolutionary Approaches for Engineering Industrially Relevant Phenotypes in Bacterial Cell Factories
Fernández‐Cabezón, L., Cros, A., & Nikel, P. I. (2019) · Biotechnology Journal · doi:10.1002/biot.201800439 · Cited by 68 · see citing works
- Authors
- Dragosits, M., & Mattanovich, D.
- Affiliations
- BOKU University (AT)
- Corresponding author
- Dragosits, Martin
- Venue
- Microbial Cell Factories
- Published
- 2013
- Volume
- 12
- Issue
- 1
- Pages
- 64
- ISSN
- 1475-2859 (ISSN-L)
- PMC
- PMC3716822
- OpenAlex
- W2115941371
- Semantic Scholar
- 09e8fffffe29d6b53bee072e4f632e32239a43f8
- Cited by
- 827
- References
- 188
- Citations by year
- 2026: 80 · 2025: 85 · 2024: 99 · 2023: 69 · 2022: 63 · 2021: 80 · 2020: 84 · 2019: 67 · 2018: 66 · 2017: 52 · 2016: 36 · 2015: 23 · 2014: 21 · 2013: 2
- FWCI
- 2.57
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Microbial Cell Factories (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- BOK:ePub (Universitätsbibliothek der Universität f Bodenkultur Wien) (submittedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Microbial Metabolic Engineering and Bioproduction
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Evolution and Genetic Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Fungal and yeast genetics research
- Keywords
- adaptive laboratory evolution, microbial engineering, molecular evolution, nutrient metabolism, stress metabolism, comparative genomics, transcriptomics, next-generation sequencing
- MeSH terms
- Biotechnology, Evolution, Molecular, Gene Regulatory Networks
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-10.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-10.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review