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

There have been a variety of approaches taken to try to characterize and identify the genetic basis of adaptation in nature, spanning theoretical models, experimental evolution studies and direct tests of natural populations. Theoretical models can provide formalized and detailed hypotheses regardin...

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Autores principales: Bailey, Susan F., Bataillon, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5019151/
https://www.ncbi.nlm.nih.gov/pubmed/26346808
http://dx.doi.org/10.1111/mec.13378
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author Bailey, Susan F.
Bataillon, Thomas
author_facet Bailey, Susan F.
Bataillon, Thomas
author_sort Bailey, Susan F.
collection PubMed
description There have been a variety of approaches taken to try to characterize and identify the genetic basis of adaptation in nature, spanning theoretical models, experimental evolution studies and direct tests of natural populations. Theoretical models can provide formalized and detailed hypotheses regarding evolutionary processes and patterns, from which experimental evolution studies can then provide important proofs of concepts and characterize what is biologically reasonable. Genetic and genomic data from natural populations then allow for the identification of the particular factors that have and continue to play an important role in shaping adaptive evolution in the natural world. Further to this, experimental evolution studies allow for tests of theories that may be difficult or impossible to test in natural populations for logistical and methodological reasons and can even generate new insights, suggesting further refinement of existing theories. However, as experimental evolution studies often take place in a very particular set of controlled conditions – that is simple environments, a small range of usually asexual species, relatively short timescales – the question remains as to how applicable these experimental results are to natural populations. In this review, we discuss important insights coming from experimental evolution, focusing on four key topics tied to the evolutionary genetics of adaptation, and within those topics, we discuss the extent to which the experimental work compliments and informs natural population studies. We finish by making suggestions for future work in particular a need for natural population genomic time series data, as well as the necessity for studies that combine both experimental evolution and natural population approaches.
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spelling pubmed-50191512016-09-23 Can the experimental evolution programme help us elucidate the genetic basis of adaptation in nature? Bailey, Susan F. Bataillon, Thomas Mol Ecol Laboratory Methods There have been a variety of approaches taken to try to characterize and identify the genetic basis of adaptation in nature, spanning theoretical models, experimental evolution studies and direct tests of natural populations. Theoretical models can provide formalized and detailed hypotheses regarding evolutionary processes and patterns, from which experimental evolution studies can then provide important proofs of concepts and characterize what is biologically reasonable. Genetic and genomic data from natural populations then allow for the identification of the particular factors that have and continue to play an important role in shaping adaptive evolution in the natural world. Further to this, experimental evolution studies allow for tests of theories that may be difficult or impossible to test in natural populations for logistical and methodological reasons and can even generate new insights, suggesting further refinement of existing theories. However, as experimental evolution studies often take place in a very particular set of controlled conditions – that is simple environments, a small range of usually asexual species, relatively short timescales – the question remains as to how applicable these experimental results are to natural populations. In this review, we discuss important insights coming from experimental evolution, focusing on four key topics tied to the evolutionary genetics of adaptation, and within those topics, we discuss the extent to which the experimental work compliments and informs natural population studies. We finish by making suggestions for future work in particular a need for natural population genomic time series data, as well as the necessity for studies that combine both experimental evolution and natural population approaches. John Wiley and Sons Inc. 2016-01 2015-10-14 /pmc/articles/PMC5019151/ /pubmed/26346808 http://dx.doi.org/10.1111/mec.13378 Text en © 2015 The Authors. Molecular Ecology Published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial (http://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Laboratory Methods
Bailey, Susan F.
Bataillon, Thomas
Can the experimental evolution programme help us elucidate the genetic basis of adaptation in nature?
title Can the experimental evolution programme help us elucidate the genetic basis of adaptation in nature?
title_full Can the experimental evolution programme help us elucidate the genetic basis of adaptation in nature?
title_fullStr Can the experimental evolution programme help us elucidate the genetic basis of adaptation in nature?
title_full_unstemmed Can the experimental evolution programme help us elucidate the genetic basis of adaptation in nature?
title_short Can the experimental evolution programme help us elucidate the genetic basis of adaptation in nature?
title_sort can the experimental evolution programme help us elucidate the genetic basis of adaptation in nature?
topic Laboratory Methods
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5019151/
https://www.ncbi.nlm.nih.gov/pubmed/26346808
http://dx.doi.org/10.1111/mec.13378
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