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dc.contributor.authorSchielzeth, Holger
dc.contributor.authorHusby, Arild
dc.date.accessioned2014-08-29T07:13:16Z
dc.date.accessioned2016-06-20T11:13:34Z
dc.date.available2014-08-29T07:13:16Z
dc.date.available2016-06-20T11:13:34Z
dc.date.issued2014
dc.identifier.citationAnnals of the New York Academy of Sciences 2014, 1320:35-57nb_NO
dc.identifier.issn0077-8923
dc.identifier.urihttp://hdl.handle.net/11250/2393232
dc.description.abstractA considerable challenge in evolutionary genetics is to understand the genetic mechanisms that facilitate or impede evolutionary adaptation in natural populations. For this, we must understand the genetic loci contributing to trait variation and the selective forces acting on them. The decreased costs and increased feasibility of obtaining genotypic data on a large number of individuals have greatly facilitated gene mapping in natural populations, particularly because organisms whose genetics have been historically difficult to study are now within reach. Here we review the methods available to evolutionary ecologists interested in dissecting the genetic basis of traits in natural populations. Our focus lies on standing genetic variation in outbred populations. We present an overview of the current state of research in the field, covering studies on both plants and animals. We also draw attention to particular challenges associated with the discovery of quantitative trait loci and discuss parallels to studies on crops, livestock, and humans. Finally, we point to some likely future developments in genetic mapping studies.nb_NO
dc.language.isoengnb_NO
dc.publisherWileynb_NO
dc.titleChallenges and prospects in genome wide QTL mapping of standing genetic variation in natural populations.nb_NO
dc.typePreprintnb_NO
dc.date.updated2014-08-29T07:13:17Z
dc.source.volume1320nb_NO
dc.source.journalAnnals of the New York Academy of Sciencesnb_NO
dc.source.issue1nb_NO
dc.identifier.doi10.1111/nyas.12397
dc.identifier.cristin1146113
dc.relation.projectNorges forskningsråd: 214553nb_NO
dc.description.localcode© 2014 New York Academy of Sciences. This is the authors' manuscript to the article.nb_NO


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