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Lenski long-term E. coli evolution experiment

Experiments: basic research on living systems, not technology.

Also: LTEE

Twelve populations of E. coli have been evolving in flasks since 1988, letting scientists watch evolution happen.

Known properties: Lenski long-term E. coli evolution experiment

Only what the cited papers report.

Key measured values

Values as stated in the cited paper's abstract.

PropertyValueSource
Mean fitness gain, 2,000 generations~37%Lenski 1991
Generation when citrate use appeared31,500Blount 2008
Genomes sequenced over 50,000 generations264Tenaillon 2016

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Timeline

  1. 1991 First 2,000 generations
  2. 2008 Evolving to eat citrate
  3. 2012 How citrate eating evolved
  4. 2016 50,000 generations of genomes

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lab biology 1991

First 2,000 generations

Lenski and colleagues founded 12 E. coli populations from one ancestor; mean fitness rose about 37% in 2,000 generations, with gains slowing over time.

As reported in: Lenski, Rose, Simpson et al. (1991). Long-Term Experimental Evolution in Escherichia coli. I. Adaptation and Divergence During 2,000 Generations. The American Naturalist. doi:10.1086/285289

Abstract only

lab biology 2008

Evolving to eat citrate

Blount, Borland and Lenski reported one population evolved the ability to use citrate by 31,500 generations, and replay experiments showed it depended on an earlier potentiating mutation.

As reported in: Blount, Borland, Lenski (2008). Historical contingency and the evolution of a key innovation in an experimental population of <i>Escherichia coli</i>. Proceedings of the National Academy of Sciences. doi:10.1073/pnas.0803151105

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lab biology 2012

How citrate eating evolved

Blount and colleagues sequenced genomes and found citrate use arose when a tandem duplication put a silent citrate transporter gene next to a promoter active in oxygen.

As reported in: Blount, Barrick, Davidson et al. (2012). Genomic analysis of a key innovation in an experimental Escherichia coli population. Nature. doi:10.1038/nature11514

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lab biology 2016

50,000 generations of genomes

Tenaillon and colleagues analysed 264 genomes over 50,000 generations and found most fixed mutations in normal-mutation-rate populations were beneficial.

As reported in: Tenaillon, Barrick, Ribeck et al. (2016). Tempo and mode of genome evolution in a 50,000-generation experiment. Nature. doi:10.1038/nature18959

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