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Cited by 155Evolution and Genetic DynamicsBacterial Genetics and BiotechnologyMicrobial Metabolic Engineering and Bioproduction

The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.

Evolution of competitive fitness in experimental populations of E. coli: What makes one genotype a better competitor than another?

Lenski, Richard E., Mongold, Judith A., Sniegowski, Paul D., Travisano, Michael, Vasi, Farida, Gerrish, Philip J., Schmidt, Thomas M.·1998·Antonie van Leeuwenhoek
DOI 10.1023/a:1000675521611
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Abstract

An important problem in microbial ecology is to identify those phenotypic attributes that are responsible for competitive fitness in a particular environment. Thousands of papers have been published on the physiology, biochemistry, and molecular genetics of Escherichia coli and other bacterial models. Nonetheless, little is known about what makes one genotype a better competitor than another even in such well studied systems. Here, we review experiments to identify the phenotypic bases of improved competitive fitness in twelve E. coli populations that evolved for thousands of generations in a defined environment, in which glucose was the limiting substrate. After 10,000 generations, the average fitness of the derived genotypes had increased by approximately 50% relative to the ancestor, based on competition experiments using marked strains in the same environment. The growth kinetics of the ancestral and derived genotypes showed that the latter have a shorter lag phase upon transfer into fresh medium and a higher maximum growth rate. Competition experiments were also performed in environments where other substrates were substituted for glucose. The derived genotypes are generally more fit in competition for those substrates that use the same mechanism of transport as glucose, which suggests that enhanced transport was an important target of natural selection in the evolutionary environment. All of the derived genotypes produce much larger cells than does the ancestor, even when both types are forced to grow at the same rate. Some but not all, of the derived genotypes also have greatly elevated mutation rates. Efforts are now underway to identify the genetic changes that underlie those phenotypic changes, especially substrate specificity and elevated mutation rate for which there are good candidate loci. Identification and subsequent manipulation of these genes may provide new insights into the reproducibility of adaptive evolution, the importance of co-adapted gene complexes, and the extent to which distinct phenotypes (e.g., substrate specificity and cell size) are affected by the same mutations.

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Crossref · 10.1023/a:1000675521611

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29 of 29 references verified0 citation errors · 0 not checkable

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  • 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).”

    From Adaptive laboratory evolution—Principles and applications for biotechnology (2013) · cites this paper as [30]

Citations

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Research works printed but not linked: 5

  1. Hall BG (1983) Evolution of new metabolic functions in laboratory organisms. In: Nei M & Koehn RK (Eds) Evolution of Genes and Proteins (pp 234-257). Sinauer Associates, Sunderland, Massachusetts, USA
  2. Horiuchi T, Maki H & Sekiguchi M (1989) Mutators and fidelity of DNA replication. Bulletin Institut Pasteur 87: 309-336
  3. Lenski RE (1992) Experimental evolution. In Lederberg J (Ed) Encyclopedia of Microbiology, Vol 2 (pp 125-140). Academic Press, San Diego
  4. Levin BR & Lenski RE (1983) Coevolution in bacteria and their viruses and plasmids. In: Futuyma DJ & Slatkin M (Eds) Coevolution (pp 99-127). Sinauer Associates, Sunderland, Massachusetts, USA
  5. Schmidt TM (1996) Multiplicity of ribosomal operons in prokaryotic genomes. In: de Bruijn FJ, Lupski JR & Weinstock G (Eds) Bacterial Genomes: Physical Structure and Analysis. Chapman and Hall, New York

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Metadata

Authors
Lenski, R. E., Mongold, J. A., Sniegowski, P. D., Travisano, M., Vasi, F., Gerrish, P. J., & Schmidt, T. M.
Affiliations
  • Michigan State University (US)
  • University of Pennsylvania (US)
ORCID
Venue
Antonie van Leeuwenhoek
Publisher
Springer Science and Business Media LLC
Published
1998-01
Volume
73
Issue
1
Pages
35-47
ISSN
  • 0003-6072 (ISSN-L)
  • 1572-9699
DOI
10.1023/a:1000675521611
OpenAlex
W2168860039
Cited by
152
References
27
Citations by year
2026: 5 · 2025: 3 · 2024: 1 · 2023: 6 · 2022: 9 · 2021: 2 · 2020: 7 · 2019: 8 · 2018: 4 · 2017: 7 · 2016: 2 · 2015: 4 · 2014: 6 · 2013: 6 · 2012: 6
FWCI
3.24
Type
journal article
Language
en
Open access
closed
Licence
Locations
  • Antonie van Leeuwenhoek (publishedVersion)
  • PubMed (publishedVersion)
Funders
National Science Foundation
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Evolution and Genetic Dynamics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Bacterial Genetics and Biotechnology
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Microbial Metabolic Engineering and Bioproduction
Keywords
Escherichia coli, competitive fitness, experimental evolution, glucose limitation, substrate transport, substrate specificity, mutation rate, cell size, growth kinetics, lag phase
MeSH terms
Adaptation, Physiological, Escherichia coli, Biological Evolution, Genotype, Glucose, Mutation, Time Factors

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