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Detecting the genomic signal of polygenic adaptation and the role of epistasis in evolution


Csilléry, Katalin; Rodríguez-Verdugo, Alejandra; Rellstab, Christian; Guillaume, Frédéric (2018). Detecting the genomic signal of polygenic adaptation and the role of epistasis in evolution. Molecular Ecology, 27(3):606-612.

Abstract

Over the last decade, the genomic revolution has offered the possibility to generate tremendous amounts of data that contain valuable information on the genetic basis of phenotypic traits, such as those linked to human diseases or those that allow for species to adapt to a changing environment. Most ecologically relevant traits are controlled by a large number of genes with small individual effects on trait variation, but that are connected with one another through complex developmental, metabolic, and biochemical networks. As a result, it has recently been suggested that most adaptation events in natural populations are reached via correlated changes at multiple genes at a time, for which the name polygenic adaptation has been coined. The current challenge is to develop methods to extract the relevant information from genomic data to detect the signature of polygenic evolutionary change. The symposium entitled “Detecting the Genomic Signal of Polygenic Adaptation and the Role of Epistasis in Evolution” held in 2017 at the University of Zürich aimed at reviewing our current state of knowledge. In this review, we use the talks of the invited speakers to summarize some of the most recent developments in this field.

Abstract

Over the last decade, the genomic revolution has offered the possibility to generate tremendous amounts of data that contain valuable information on the genetic basis of phenotypic traits, such as those linked to human diseases or those that allow for species to adapt to a changing environment. Most ecologically relevant traits are controlled by a large number of genes with small individual effects on trait variation, but that are connected with one another through complex developmental, metabolic, and biochemical networks. As a result, it has recently been suggested that most adaptation events in natural populations are reached via correlated changes at multiple genes at a time, for which the name polygenic adaptation has been coined. The current challenge is to develop methods to extract the relevant information from genomic data to detect the signature of polygenic evolutionary change. The symposium entitled “Detecting the Genomic Signal of Polygenic Adaptation and the Role of Epistasis in Evolution” held in 2017 at the University of Zürich aimed at reviewing our current state of knowledge. In this review, we use the talks of the invited speakers to summarize some of the most recent developments in this field.

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Additional indexing

Item Type:Journal Article, refereed, further contribution
Communities & Collections:07 Faculty of Science > Institute of Evolutionary Biology and Environmental Studies
Dewey Decimal Classification:570 Life sciences; biology
590 Animals (Zoology)
Scopus Subject Areas:Life Sciences > Ecology, Evolution, Behavior and Systematics
Life Sciences > Genetics
Uncontrolled Keywords:Genetics, Ecology, Evolution, Behavior and Systematics
Language:English
Date:1 February 2018
Deposited On:27 Nov 2018 13:38
Last Modified:29 Jul 2020 08:06
Publisher:Wiley-Blackwell Publishing, Inc.
ISSN:0962-1083
OA Status:Hybrid
Free access at:Publisher DOI. An embargo period may apply.
Publisher DOI:https://doi.org/10.1111/mec.14499
Project Information:
  • : FunderSNSF
  • : Grant IDPP00P3_144846
  • : Project TitleCauses and consequences of genetic constraints on adaptation: From gene pleiotropy to species' range evolution
  • : FunderSNSF
  • : Grant ID31CO30_174688
  • : Project TitleGenomics of Polygenic Adaptation
  • : FunderH2020
  • : Grant ID705972
  • : Project TitleFORGENET - A novel approach for detecting polygenic adaptation applied to FORest tree candidate GEne NETworks

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