Literature DB >> 22671557

Population subdivision and adaptation in asexual populations of Saccharomyces cerevisiae.

Sergey Kryazhimskiy1, Daniel P Rice, Michael M Desai.   

Abstract

Population subdivision limits competition between individuals, which can have a profound effect on adaptation. Subdivided populations maintain more genetic diversity at any given time compared to well-mixed populations, and thus "explore" larger parts of the genotype space. At the same time, beneficial mutations take longer to spread in such populations, and thus subdivided populations do not "exploit" discovered mutations as efficiently as well-mixed populations. Whether subdivision inhibits or promotes adaptation in a given environment depends on the relative importance of exploration versus exploitation, which in turn depends on the structure of epistasis among beneficial mutations. Here we investigate the relative importance of exploration versus exploitation for adaptation by evolving 976 independent asexual populations of budding yeast with several degrees of geographic subdivision. We find that subdivision systematically inhibits adaptation: even the luckiest demes in subdivided populations on average fail to discover genotypes that are fitter than those discovered by well-mixed populations. Thus, exploitation of discovered mutations is more important for adaptation in our system than a thorough exploration of the mutational neighborhood, and increasing subdivision slows adaptation.
© 2012 The Author(s). Evolution © 2012 The Society for the Study of Evolution.

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Year:  2012        PMID: 22671557     DOI: 10.1111/j.1558-5646.2011.01569.x

Source DB:  PubMed          Journal:  Evolution        ISSN: 0014-3820            Impact factor:   3.694


  23 in total

1.  Identifying signatures of selection in genetic time series.

Authors:  Alison F Feder; Sergey Kryazhimskiy; Joshua B Plotkin
Journal:  Genetics       Date:  2013-12-06       Impact factor: 4.562

Review 2.  Effective models and the search for quantitative principles in microbial evolution.

Authors:  Benjamin H Good; Oskar Hallatschek
Journal:  Curr Opin Microbiol       Date:  2018-12-06       Impact factor: 7.934

3.  Measuring ruggedness in fitness landscapes.

Authors:  Jeremy Van Cleve; Daniel B Weissman
Journal:  Proc Natl Acad Sci U S A       Date:  2015-06-02       Impact factor: 11.205

4.  A tortoise-hare pattern seen in adapting structured and unstructured populations suggests a rugged fitness landscape in bacteria.

Authors:  Joshua R Nahum; Peter Godfrey-Smith; Brittany N Harding; Joseph H Marcus; Jared Carlson-Stevermer; Benjamin Kerr
Journal:  Proc Natl Acad Sci U S A       Date:  2015-05-11       Impact factor: 11.205

5.  The impact of macroscopic epistasis on long-term evolutionary dynamics.

Authors:  Benjamin H Good; Michael M Desai
Journal:  Genetics       Date:  2014-11-12       Impact factor: 4.562

6.  Adaptive benefits from small mutation supplies in an antibiotic resistance enzyme.

Authors:  Merijn L M Salverda; Jeroen Koomen; Bertha Koopmanschap; Mark P Zwart; J Arjan G M de Visser
Journal:  Proc Natl Acad Sci U S A       Date:  2017-11-13       Impact factor: 11.205

7.  Escherichia coli cultures maintain stable subpopulation structure during long-term evolution.

Authors:  Megan G Behringer; Brian I Choi; Samuel F Miller; Thomas G Doak; Jonathan A Karty; Wanfeng Guo; Michael Lynch
Journal:  Proc Natl Acad Sci U S A       Date:  2018-04-30       Impact factor: 11.205

8.  Scalable, Continuous Evolution of Genes at Mutation Rates above Genomic Error Thresholds.

Authors:  Arjun Ravikumar; Garri A Arzumanyan; Muaeen K A Obadi; Alex A Javanpour; Chang C Liu
Journal:  Cell       Date:  2018-11-08       Impact factor: 41.582

Review 9.  Experimental Studies of Evolutionary Dynamics in Microbes.

Authors:  Ivana Cvijović; Alex N Nguyen Ba; Michael M Desai
Journal:  Trends Genet       Date:  2018-07-17       Impact factor: 11.639

10.  The effect of weak clonal interference on average fitness trajectories in the presence of macroscopic epistasis.

Authors:  Yipei Guo; Ariel Amir
Journal:  Genetics       Date:  2022-04-04       Impact factor: 4.562

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