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Updated: Feb 10, 2026

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Molecular Evolution of the Tre Recombinase
Published on: May 29, 2008
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The evolution of genetic drift over 50,000 generations
Joao A Ascensao1,2, QinQin Yu3,4, Oskar Hallatschek3,5,6
1Department of Bioengineering, University of California Berkeley, Berkeley, CA, USA.
Biorxiv : the Preprint Server for Biology
|February 9, 2026
Summary
Genetic drift, random variation in reproductive success, can evolve over time. This study shows the variance in descendant numbers diverged between E. coli populations, impacting mutation establishment and adaptation.
Area of Science:
- Evolutionary biology
- Population genetics
- Microbial evolution
Background:
- Genetic drift, driven by random variation in reproductive success, is a key factor shaping genetic diversity and evolution.
- The strength of genetic drift is determined by the variance in descendant number, which influences evolutionary outcomes like mutation establishment.
- It was unclear if the variance in descendant number itself evolves over long timescales.
Purpose of the Study:
- To investigate whether the variance in descendant number, a key parameter of genetic drift, evolves over long timescales.
- To disentangle the contributions of census population size and variance in descendant number to effective population size.
- To analyze the divergent evolution of genetic drift in two replicate populations of E. coli.
Main Methods:
- Utilized model-based Bayesian inference combined with joint tracking of neutral lineage frequency fluctuations and census population sizes.
- Analyzed data from 33 clones across 50,000 generations in the E. coli Long-Term Evolution Experiment (two replicate populations: Ara-2 and Ara+2).
- Quantified changes in census size and variance in descendant number to infer effective population size and drift strength.
Main Results:
- The strength of genetic drift evolved markedly and divergently between the two replicate E. coli populations.
- Both census size and variance in descendant number changed substantially over time, with variance in descendant number driving most changes in effective population size.
- After ~2,000 generations, the variance in descendant number diverged, with Ara-2 exhibiting 1.5-5x stronger drift than expected, indicating evolved increased stochasticity.
Conclusions:
- The key parameter governing genetic drift (variance in descendant number) can itself evolve.
- Divergent evolution of genetic drift has direct consequences for the rate and probability of adaptation.
- Beneficial mutations are approximately twice as likely to establish in the Ara+2 population compared to Ara-2 due to differences in drift strength.
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