Genomic quantitative genetics to study evolution in the wild

P. Gienapp; Simone Fior; Frédéric Guillaume; Jesse R. Lasky; Victoria L. Sork; Katalin Csilléry

doi:10.1016/j.tree.2017.09.004

Genomic quantitative genetics to study evolution in the wild

P. Gienapp, Simone Fior, Frédéric Guillaume, Jesse R. Lasky, Victoria L. Sork, Katalin Csilléry

NIOO - Animal Ecology (AnE)

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Abstract

Quantitative genetic theory provides a means of estimating the evolutionary potential of natural populations. However, this approach was previously only feasible in systems where the genetic relatedness between individuals could be inferred from pedigrees or experimental crosses. The genomic revolution opened up the possibility of obtaining the realized proportion of genome shared among individuals in natural populations of virtually any species, which could promise (more) accurate estimates of quantitative genetic parameters in virtually any species. Such a ‘genomic’ quantitative genetics approach relies on fewer assumptions, offers a greater methodological flexibility, and is thus expected to greatly enhance our understanding of evolution in natural populations, for example, in the context of adaptation to environmental change, eco-evolutionary dynamics, and biodiversity conservation.

Original language	English
Pages (from-to)	897-908
Journal	Trends in Ecology and Evolution
Volume	32
DOIs	https://doi.org/10.1016/j.tree.2017.09.004
Publication status	Published - 15 Nov 2017

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international

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AU - Fior, Simone

AU - Guillaume, Frédéric

AU - Lasky, Jesse R.

AU - Sork, Victoria L.

AU - Csilléry, Katalin

N1 - 6428, AnE; Data Archiving: no data, opinion paper

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AB - Quantitative genetic theory provides a means of estimating the evolutionary potential of natural populations. However, this approach was previously only feasible in systems where the genetic relatedness between individuals could be inferred from pedigrees or experimental crosses. The genomic revolution opened up the possibility of obtaining the realized proportion of genome shared among individuals in natural populations of virtually any species, which could promise (more) accurate estimates of quantitative genetic parameters in virtually any species. Such a ‘genomic’ quantitative genetics approach relies on fewer assumptions, offers a greater methodological flexibility, and is thus expected to greatly enhance our understanding of evolution in natural populations, for example, in the context of adaptation to environmental change, eco-evolutionary dynamics, and biodiversity conservation.

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JO - Trends in Ecology and Evolution

JF - Trends in Ecology and Evolution

ER -

Genomic quantitative genetics to study evolution in the wild

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