Perspectives on the use of landscape genetics to detect genetic adaptive variation in the field

Stéphanie Manel; Stéphane Joost; Bryan K Epperson; Rolf Holderegger; Andrew Storfer; Michael S Rosenberg; Kim T Scribner; Aurélie Bonin; Marie-Josée Fortin

doi:10.1111/j.1365-294X.2010.04717.x

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Perspectives on the use of landscape genetics to detect genetic adaptive variation in the field

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Perspectives on the use of landscape genetics to detect genetic adaptive variation in the field

Stéphanie Manel, Stéphane Joost, Bryan K Epperson, Rolf Holderegger, Andrew Storfer, Michael S Rosenberg, Kim T Scribner, Aurélie Bonin and Marie-Josée Fortin

Molecular ecology, Vol.19(17), pp.3760-3772

09/2010

DOI: https://doi.org/10.1111/j.1365-294X.2010.04717.x

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https://hdl.handle.net/2376/112712

PMID: 20723056

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Abstract

Genetic Variation

Genetics, Population

Ecology - methods

Adaptation, Physiological - genetics

Genomics

Polymorphism, Single Nucleotide

Models, Statistical

Amplified Fragment Length Polymorphism Analysis

Microsatellite Repeats

Expressed Sequence Tags

Understanding the genetic basis of species adaptation in the context of global change poses one of the greatest challenges of this century. Although we have begun to understand the molecular basis of adaptation in those species for which whole genome sequences are available, the molecular basis of adaptation is still poorly understood for most non-model species. In this paper, we outline major challenges and future research directions for correlating environmental factors with molecular markers to identify adaptive genetic variation, and point to research gaps in the application of landscape genetics to real-world problems arising from global change, such as the ability of organisms to adapt over rapid time scales. High throughput sequencing generates vast quantities of molecular data to address the challenge of studying adaptive genetic variation in non-model species. Here, we suggest that improvements in the sampling design should consider spatial dependence among sampled individuals. Then, we describe available statistical approaches for integrating spatial dependence into landscape analyses of adaptive genetic variation.

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Title: Perspectives on the use of landscape genetics to detect genetic adaptive variation in the field
Creators: Stéphanie Manel - Laboratoire Population Environnement Développement, UMR 151 UP/IRD, Université de Provence, 13331 Marseille Cedex 03, France. stephanie.manel@ujf-grenoble.fr
Stéphane Joost
Bryan K Epperson
Rolf Holderegger
Andrew Storfer
Michael S Rosenberg
Kim T Scribner
Aurélie Bonin
Marie-Josée Fortin
Publication Details: Molecular ecology, Vol.19(17), pp.3760-3772
Academic Unit: Biological Sciences, School of
Publisher: England
Identifiers: 99900548046601842
Language: English
Resource Type: Journal article