Literature DB >> 28720700

Hitchhiking and epistasis give rise to cohort dynamics in adapting populations.

Sean W Buskirk1, Ryan Emily Peace2, Gregory I Lang3.   

Abstract

Beneficial mutations are the driving force of adaptive evolution. In asexual populations, the identification of beneficial alleles is confounded by the presence of genetically linked hitchhiker mutations. Parallel evolution experiments enable the recognition of common targets of selection; yet these targets are inherently enriched for genes of large target size and mutations of large effect. A comprehensive study of individual mutations is necessary to create a realistic picture of the evolutionarily significant spectrum of beneficial mutations. Here we use a bulk-segregant approach to identify the beneficial mutations across 11 lineages of experimentally evolved yeast populations. We report that nearly 80% of detected mutations have no discernible effects on fitness and less than 1% are deleterious. We determine the distribution of driver and hitchhiker mutations in 31 mutational cohorts, groups of mutations that arise synchronously from low frequency and track tightly with one another. Surprisingly, we find that one-third of cohorts lack identifiable driver mutations. In addition, we identify intracohort synergistic epistasis between alleles of hsl7 and kel1, which arose together in a low-frequency lineage.

Entities:  

Keywords:  cohorts; epistasis; experimental evolution; fitness

Year:  2017        PMID: 28720700      PMCID: PMC5547604          DOI: 10.1073/pnas.1702314114

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  43 in total

1.  Adaptive radiation in a heterogeneous environment.

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Authors:  J M Smith; J Haigh
Journal:  Genet Res       Date:  1974-02       Impact factor: 1.588

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Journal:  Proc Natl Acad Sci U S A       Date:  2015-08-03       Impact factor: 11.205

6.  Genetic variation and the fate of beneficial mutations in asexual populations.

Authors:  Gregory I Lang; David Botstein; Michael M Desai
Journal:  Genetics       Date:  2011-05-05       Impact factor: 4.562

7.  Adaptive evolution of the lactose utilization network in experimentally evolved populations of Escherichia coli.

Authors:  Selwyn Quan; J Christian J Ray; Zakari Kwota; Trang Duong; Gábor Balázsi; Tim F Cooper; Russell D Monds
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8.  Sex speeds adaptation by altering the dynamics of molecular evolution.

Authors:  Michael J McDonald; Daniel P Rice; Michael M Desai
Journal:  Nature       Date:  2016-02-24       Impact factor: 49.962

9.  High-Throughput Identification of Adaptive Mutations in Experimentally Evolved Yeast Populations.

Authors:  Celia Payen; Anna B Sunshine; Giang T Ong; Jamie L Pogachar; Wei Zhao; Maitreya J Dunham
Journal:  PLoS Genet       Date:  2016-10-11       Impact factor: 5.917

Review 10.  Can the experimental evolution programme help us elucidate the genetic basis of adaptation in nature?

Authors:  Susan F Bailey; Thomas Bataillon
Journal:  Mol Ecol       Date:  2015-10-14       Impact factor: 6.185

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Review 2.  Experimental Design, Population Dynamics, and Diversity in Microbial Experimental Evolution.

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3.  Recombination drives the evolution of mutational robustness.

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4.  Patterns of Volatility Across the Spike Protein Accurately Predict the Emergence of Mutations within SARS-CoV-2 Lineages.

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8.  Enhanced Wort Fermentation with De Novo Lager Hybrids Adapted to High-Ethanol Environments.

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9.  Mutator genomes decay, despite sustained fitness gains, in a long-term experiment with bacteria.

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10.  Exploring a Local Genetic Interaction Network Using Evolutionary Replay Experiments.

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Journal:  Mol Biol Evol       Date:  2021-07-29       Impact factor: 16.240

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