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Cited by 339

The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.

Evolution of microbial diversity during prolonged starvation

Open access
Finkel, Steven E., Kolter, Roberto·1999·Proceedings of the National Academy of Sciences

Abstract

Models of evolutionary processes postulate that new alleles appear in populations through random spontaneous mutation. Alleles that confer a competitive advantage in particular environments are selected and populations can be taken over by individuals expressing these advantageous mutations. We have studied the evolutionary process by using Escherichia coli cultures incubated for prolonged periods of time in stationary phase. The populations of surviving cells were shown to be highly dynamic, even after many months of incubation. Evolution proceeded along different paths even when the initial conditions were identical. As cultures aged, the takeovers by fitter mutants were incomplete, resulting in the coexistence of multiple mutant forms and increased microbial diversity. Thus, the study of bacterial populations in stationary phase provides a model system for understanding the evolution of diversity in natural populations.

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Metadata

Authors
Finkel, S. E., & Kolter, R.
Venue
Proceedings of the National Academy of Sciences
Published
1999-03-30
Volume
96
Issue
7
Pages
4023-4027
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2113067152
Cited by
339
References
20
FWCI
6.08
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Evolution of microbial diversity during prolonged starvation. https://app.cochat.ai/papers/10.1073/pnas.96.7.4023
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Finkel, S. E., & Kolter, R. (1999). Evolution of microbial diversity during prolonged starvation. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.96.7.4023

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.