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The ISME Journal
Article
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The ISME Journal
Article . 2017 . Peer-reviewed
License: OUP Standard Publication Reuse
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The ISME Journal
Article . 2018
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Experimental evolution and the dynamics of adaptation and genome evolution in microbial populations

Authors: Richard E, Lenski;

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

Abstract

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.

Related Organizations
Keywords

Ecotype, Evolution, Molecular, Acclimatization, Mutation, Escherichia coli, Selection, Genetic, Genome, Bacterial

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
320
Top 0.1%
Top 1%
Top 1%
gold