Genomic quantitative genetics to study evolution in the wild

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

Research output: Contribution to journal/periodicalArticleScientificpeer-review

92 Citations (Scopus)
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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 languageEnglish
Pages (from-to)897-908
JournalTrends in Ecology and Evolution
Publication statusPublished - 15 Nov 2017


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