2014
DOI: 10.1038/ng.3075
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Population genomics of Populus trichocarpa identifies signatures of selection and adaptive trait associations

Abstract: Forest trees are dominant components of terrestrial ecosystems that have global ecological and economic importance. Despite distributions that span wide environmental gradients, many tree populations are locally adapted, and mechanisms underlying this adaptation are poorly understood. Here we use a combination of whole-genome selection scans and association analyses of 544 Populus trichocarpa trees to reveal genomic bases of adaptive variation across a wide latitudinal range. Three hundred ninety-seven genomic… Show more

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Cited by 316 publications
(451 citation statements)
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“…A better understanding of the genetic regulation of adaptation is fundamental for the development of adequate management and conservation strategies under a changing climate (Porth et al., 2015). In recent years, population genomics has been used to study tree populations, identifying genes under selection involved in local adaptation (Evans et al., 2014; Geraldes et al., 2014; Holliday et al., 2016; Zhou et al., 2014). The great advantage of population genomics studies over smaller‐scale population genetics studies is that the former allow identifying and correcting for genomewide demographic effects, increasing the power to detect locus‐specific effects (Stinchcombe & Hoekstra, 2008).…”
Section: Discussionmentioning
confidence: 99%
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“…A better understanding of the genetic regulation of adaptation is fundamental for the development of adequate management and conservation strategies under a changing climate (Porth et al., 2015). In recent years, population genomics has been used to study tree populations, identifying genes under selection involved in local adaptation (Evans et al., 2014; Geraldes et al., 2014; Holliday et al., 2016; Zhou et al., 2014). The great advantage of population genomics studies over smaller‐scale population genetics studies is that the former allow identifying and correcting for genomewide demographic effects, increasing the power to detect locus‐specific effects (Stinchcombe & Hoekstra, 2008).…”
Section: Discussionmentioning
confidence: 99%
“…In spite of the concerns mentioned above, limited agreement between different methods is expected (Lotterhos & Whitlock, 2015). For example, a population genomics study based on whole‐genome resequencing of a natural P. trichocarpa population that analyzed a large number of polymorphisms and compared results between five different selection scans, found very little overlap between tests (Evans et al., 2014). This limited overlap can be explained by the ability of different methods to identify the effects of different models of selection, with outlier tests more suited to identify hard selective sweeps and EAA capable of detecting small changes in allele frequency due to selection acting on standing genetic variation (Evans et al., 2014; Sork et al., 2013).…”
Section: Discussionmentioning
confidence: 99%
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“…However, the variation in quantitative traits explained by individual SNP markers is generally low and rarely exceeds 5% (Dillon et al ., 2010; Guerra et al ., 2013), consistent with multigenic control (Evans et al ., 2014) and the relatively shallow genomic sampling in most studies to date (< 1% and 10% of estimated gene coding loci per genome) (Nystedt et al ., 2013; Neale et al ., 2014). …”
Section: Introductionmentioning
confidence: 99%