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Experimental Evolution as a High-Throughput Screen for Genetic Adaptations

Experimental evolution is a method in which populations of organisms, often microbes, are founded by one or more ancestors of known genotype and then propagated under controlled conditions to study the evolutionary process. These evolving populations are influenced by all population genetic forces,...

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Detalles Bibliográficos
Autor principal: Cooper, Vaughn S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Microbiology 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5956144/
https://www.ncbi.nlm.nih.gov/pubmed/29743200
http://dx.doi.org/10.1128/mSphere.00121-18
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author Cooper, Vaughn S.
author_facet Cooper, Vaughn S.
author_sort Cooper, Vaughn S.
collection PubMed
description Experimental evolution is a method in which populations of organisms, often microbes, are founded by one or more ancestors of known genotype and then propagated under controlled conditions to study the evolutionary process. These evolving populations are influenced by all population genetic forces, including selection, mutation, drift, and recombination, and the relative contributions of these forces may be seen as mysterious. Here, I describe why the outcomes of experimental evolution should be viewed with greater certainty because the force of selection typically dominates. Importantly, any mutant rising rapidly to high frequency in large populations must have acquired adaptive traits in the selective environment. Sequencing the genomes of these mutants can identify genes or pathways that contribute to an adaptation. I review the logic and simple mathematics why this evolve-and-resequence approach is a powerful way to find the mutations or mutation combinations that best increase fitness in any new environment.
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spelling pubmed-59561442018-05-23 Experimental Evolution as a High-Throughput Screen for Genetic Adaptations Cooper, Vaughn S. mSphere Opinion/Hypothesis Experimental evolution is a method in which populations of organisms, often microbes, are founded by one or more ancestors of known genotype and then propagated under controlled conditions to study the evolutionary process. These evolving populations are influenced by all population genetic forces, including selection, mutation, drift, and recombination, and the relative contributions of these forces may be seen as mysterious. Here, I describe why the outcomes of experimental evolution should be viewed with greater certainty because the force of selection typically dominates. Importantly, any mutant rising rapidly to high frequency in large populations must have acquired adaptive traits in the selective environment. Sequencing the genomes of these mutants can identify genes or pathways that contribute to an adaptation. I review the logic and simple mathematics why this evolve-and-resequence approach is a powerful way to find the mutations or mutation combinations that best increase fitness in any new environment. American Society for Microbiology 2018-05-09 /pmc/articles/PMC5956144/ /pubmed/29743200 http://dx.doi.org/10.1128/mSphere.00121-18 Text en Copyright © 2018 Cooper. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Opinion/Hypothesis
Cooper, Vaughn S.
Experimental Evolution as a High-Throughput Screen for Genetic Adaptations
title Experimental Evolution as a High-Throughput Screen for Genetic Adaptations
title_full Experimental Evolution as a High-Throughput Screen for Genetic Adaptations
title_fullStr Experimental Evolution as a High-Throughput Screen for Genetic Adaptations
title_full_unstemmed Experimental Evolution as a High-Throughput Screen for Genetic Adaptations
title_short Experimental Evolution as a High-Throughput Screen for Genetic Adaptations
title_sort experimental evolution as a high-throughput screen for genetic adaptations
topic Opinion/Hypothesis
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5956144/
https://www.ncbi.nlm.nih.gov/pubmed/29743200
http://dx.doi.org/10.1128/mSphere.00121-18
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