2020
DOI: 10.1016/j.biocon.2020.108770
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A comparison of genetic and genomic approaches to represent evolutionary potential in conservation planning

Abstract: This is a repository copy of A comparison of genetic and genomic approaches to represent evolutionary potential in conservation planning.

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Cited by 27 publications
(22 citation statements)
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“…By using mtDNA and SNP data, we were able to assess the influence of marker type on investigations of historical and contemporary drivers of intraspecific diversity. Furthermore, as mtDNA is the dominant marker from which molecular data are available in South Africa (Teske et al, 2011; Tolley et al, 2019), we could identify if these markers are able to capture similar diversity patterns as genomic SNPs, which offer higher statistical resolution but are more costly to produce (Nielsen, Beger, et al, 2020).…”
Section: Methodsmentioning
confidence: 99%
“…By using mtDNA and SNP data, we were able to assess the influence of marker type on investigations of historical and contemporary drivers of intraspecific diversity. Furthermore, as mtDNA is the dominant marker from which molecular data are available in South Africa (Teske et al, 2011; Tolley et al, 2019), we could identify if these markers are able to capture similar diversity patterns as genomic SNPs, which offer higher statistical resolution but are more costly to produce (Nielsen, Beger, et al, 2020).…”
Section: Methodsmentioning
confidence: 99%
“…The South African coastline encompasses a large variety of ecosystems, including rocky and sandy shores, kelp forests, estuaries and coral reefs, as well as contrasting environmental conditions (Branch & Branch, 2018) that drive high levels of coastal marine biodiversity. Four major phylogeographic breaks have been identified, and most coastal species, including organisms with high dispersal capacities, are divided into genetic lineages whose distributional ranges broadly match the bioregions (Figure 1; Teske et al, 2011; Wright et al, 2015), with evidence for temperature and salinity as important drivers of potential local adaptation (Nielsen et al, 2020; Phair et al, 2019; Teske et al, 2021).…”
Section: Introductionmentioning
confidence: 99%
“…However, most assessments of species range shifts from SDMs disregard the occurrence of intraspecific climatic tolerances, local adaptation, and gene flow (Rilov et al, 2019). This is problematic, as genetic variation is a crucial component of a species’ resilience, with areas of high neutral diversity inferring more raw material for adaptation to occur, and high adaptive diversity inferring pre‐adapted populations (Bitter et al, 2019; Nielsen, Beger, et al, 2020). There have been efforts to assess lineage (D’Amen et al, 2013; Espíndola et al, 2012) and population‐level (Banta et al, 2012; Jay et al, 2012) responses to climate change with ‘genetic SDMs’, often showing a disproportionate loss of genetic variation over the species’ range.…”
Section: Introductionmentioning
confidence: 99%