Adaptive Evolution of Escherichia coli K-12 MG1655 during Growth on a Nonnative Carbon Source,l-1,2-Propanediol
Open accessAbstract
Laboratory adaptive evolution studies can provide key information to address a wide range of issues in evolutionary biology. Such studies have been limited thus far by the inability of workers to readily detect mutations in evolved microbial strains on a genome scale. This limitation has now been overcome by recently developed genome sequencing technology that allows workers to identify all accumulated mutations that appear during laboratory adaptive evolution. In this study, we evolved Escherichia coli K-12 MG1655 with a nonnative carbon source,l-1,2-propanediol (l-1,2-PDO), for ∼700 generations. We found that (i) experimental evolution of E. coli for ∼700 generations in 1,2-PDO-supplemented minimal medium resulted in acquisition of the ability to use l-1,2-PDO as a sole carbon and energy source so that the organism changed from an organism that did not grow at all initially to an organism that had a growth rate of 0.35 h−1; (ii) six mutations detected by whole-genome resequencing accumulated in the evolved E. coli mutant over the course of adaptive evolution on l-1,2-PDO; (iii) five of the six mutations were within coding regions, and IS 5 was inserted between two fuc regulons; (iv) two major mutations (mutations in fucO and its promoter) involved in l-1,2-PDO catabolism appeared early during adaptive evolution; and (v) multiple defined knock-in mutant strains with all of the mutations had growth rates essentially matching that of the evolved strain. These results provide insight into the genetic basis underlying microbial evolution for growth on a nonnative substrate.
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Certain 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.”
From Adaptive laboratory evolution—Principles and applications for biotechnology (2013) · cites this paper as [63]
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.”
From Adaptive laboratory evolution—Principles and applications for biotechnology (2013) · cites this paper as [63]
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]”
From Adaptive laboratory evolution—Principles and applications for biotechnology (2013) · cites this paper as [63]
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].”
From Adaptive laboratory evolution—Principles and applications for biotechnology (2013) · cites this paper as [63]
The 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.”
From Adaptive laboratory evolution—Principles and applications for biotechnology (2013) · cites this paper as [63]
Mutations 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].”
From Adaptive laboratory evolution—Principles and applications for biotechnology (2013) · cites this paper as [63]
n-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].”
From Adaptive laboratory evolution—Principles and applications for biotechnology (2013) · cites this paper as [63]
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].”
From Adaptive laboratory evolution—Principles and applications for biotechnology (2013) · cites this paper as [63]
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].”
From Adaptive laboratory evolution—Principles and applications for biotechnology (2013) · cites this paper as [63]
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- Authors
- Lee, D.-H., & Palsson, B. Ø.
- Affiliations
- University of California San Diego (US)
- Venue
- Applied and Environmental Microbiology
- Publisher
- American Society for Microbiology
- Published
- 2010-07
- Volume
- 76
- Issue
- 13
- Pages
- 4158-4168
- ISSN
- 0099-2240 (ISSN-L)
- 1098-5336
- PMC
- PMC2897412
- OpenAlex
- W2135829725
- Cited by
- 160
- References
- 59
- Citations by year
- 2026: 6 · 2025: 7 · 2024: 6 · 2023: 4 · 2022: 8 · 2021: 15 · 2020: 13 · 2019: 7 · 2018: 8 · 2017: 7 · 2016: 9 · 2015: 16 · 2014: 9 · 2013: 13 · 2012: 14
- FWCI
- 8.10
- Type
- journal article
- Language
- en
- Update notices
- correction (2010-09-15)
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Applied and Environmental Microbiology (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- U.S. Department of Energy (FC02-02ER63446)
- National Institutes of Health
- Office of Science
- University of California, San Diego
- National Institute of General Medical Sciences (R01GM062791, GM 062791)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Evolution and Genetic Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Microbial Metabolic Engineering and Bioproduction
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Bacterial Genetics and Biotechnology
- Keywords
- Escherichia coli MG1655, adaptive evolution, whole-genome resequencing, growth rate, microbial evolution
- MeSH terms
- Adaptation, Physiological, Culture Media, DNA, Bacterial, Mutation, Polymerase Chain Reaction, Genome, Bacterial, Sequence Analysis, DNA, Directed Molecular Evolution, Propylene Glycol, Escherichia coli K12
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.
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 ›
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