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Cited by 377

The DOI matches its Crossref record; 109 of the 109 references it cites were found in a registry or an index.

Experimental evolution and the dynamics of adaptation and genome evolution in microbial populations

Open access
Lenski, Richard E·2017·The ISME Journal

Abstract

Evolution is an on-going process, and it can be studied experimentally in organisms with rapid generations. My team has maintained 12 populations of Escherichia coli in a simple laboratory environment for >25 years and 60 000 generations. We have quantified the dynamics of adaptation by natural selection, seen some of the populations diverge into stably coexisting ecotypes, described changes in the bacteria’s mutation rate, observed the new ability to exploit a previously untapped carbon source, characterized the dynamics of genome evolution and used parallel evolution to identify the genetic targets of selection. I discuss what the future might hold for this particular experiment, briefly highlight some other microbial evolution experiments and suggest how the fields of experimental evolution and microbial ecology might intersect going forward.

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Metadata

Authors
Lenski, R. E.
Venue
The ISME Journal
Published
2017-05-16
Volume
11
Issue
10
Pages
2181-2194
ISSN
  • 1751-7362 (ISSN-L)
  • 1751-7370
OpenAlex
W2616082873
Cited by
377
References
109
FWCI
17.02
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Experimental evolution and the dynamics of adaptation and genome evolution in microbial populations. https://app.cochat.ai/papers/10.1038/ismej.2017.69
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Lenski, R. E. (2017). Experimental evolution and the dynamics of adaptation and genome evolution in microbial populations. The ISME Journal. https://doi.org/10.1038/ismej.2017.69

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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.