2022
DOI: 10.1098/rspb.2022.1930
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Taking quantitative genomics into the wild

Abstract: We organized this special issue to highlight new work and review recent advances at the cutting edge of ‘wild quantitative genomics’. In this editorial, we will present some history of wild quantitative genetic and genomic studies, before discussing the main themes in the papers published in this special issue and highlighting the future outlook of this dynamic field.

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Cited by 10 publications
(16 citation statements)
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“…Investigating this contribution will be highly challenging, but future research in this area may provide the power and possibility to test this hypothesis. Finally, whilst the marker density we used here is high relative to the observed decay in linkage disequilibrium, we acknowledge that a lack of association with GWAS can also arise due to reduced power to detect trait loci, due to relatively small sample sizes compared to human and livestock studies (Santure and Garant 2018; Johnston et al . 2022).…”
Section: Discussionmentioning
confidence: 99%
“…Investigating this contribution will be highly challenging, but future research in this area may provide the power and possibility to test this hypothesis. Finally, whilst the marker density we used here is high relative to the observed decay in linkage disequilibrium, we acknowledge that a lack of association with GWAS can also arise due to reduced power to detect trait loci, due to relatively small sample sizes compared to human and livestock studies (Santure and Garant 2018; Johnston et al . 2022).…”
Section: Discussionmentioning
confidence: 99%
“…This study adds to a series of recent work using large sets of molecular markers to study quantitative genetics in wild populations, mostly focused on animals [ 69 ], but also on plants [ 47 , 70 ]. Studies comparing the accuracy of SNP-based relatedness matrices compared to pedigrees are consistently showing that they can be very good approximations of continuous genetic relatedness, depending on the specie's life history, and that they can provide higher analytical flexibility [ 69 , 71 , 72 ].…”
Section: Discussionmentioning
confidence: 99%
“…The requirement of pedigree information for quantitative trait loci (QTL) and genome wide association studies (GWAS) also provides a limitation to their usage in wild populations (Day-Williams et al, 2011). Recent advances have softened this requirement, with several routes available for quantitative genetic analyses in wild populations where pedigree information is absent (Johnston et al, 2022). Finally, where the genetic basis of morphological traits is known, signatures of past selection can be detected through phylogenetic analysis (Vitti et al, 2013).…”
Section: Linking Morphology To Geneticsmentioning
confidence: 99%