2018
DOI: 10.1093/isd/ixy019
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Inferring Ancestry and Divergence Events in a Forest Pest Using Low-Density Single-Nucleotide Polymorphisms

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Cited by 8 publications
(4 citation statements)
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“…mating systems (Janes et al 2016), trophic interactions (de Vere et al 2017), migration (Chapuis et al 2009)); demography (e.g. effective population sizes (Janes et al 2018)); and subsequent population-level changes (Gloss et al 2016). Where possible, better integration of genetic approaches with traditional surveys could greatly advance our knowledge of insect biodiversity and biology (e.g.…”
Section: Cost-efficient Genetic Toolsmentioning
confidence: 99%
“…mating systems (Janes et al 2016), trophic interactions (de Vere et al 2017), migration (Chapuis et al 2009)); demography (e.g. effective population sizes (Janes et al 2018)); and subsequent population-level changes (Gloss et al 2016). Where possible, better integration of genetic approaches with traditional surveys could greatly advance our knowledge of insect biodiversity and biology (e.g.…”
Section: Cost-efficient Genetic Toolsmentioning
confidence: 99%
“…, Elshire et al, 2011 ) could reveal subtle fine-scale spatial-genetic structure. For example, compared to inferences from microsatellites, SNPs have identified additional structure in the mountain pine beetle, D. ponderosae ( Batista et al, 2016 ; Janes et al, 2018 ). That said, although only 4 × to 12 × more bi-allelic SNPs than multi-allelic microsatellite loci might offer comparable resolution of population structure ( e.g.…”
Section: Discussionmentioning
confidence: 99%
“…For example, MPB patterns were consistent with isolation-by-distance at a continental scale, but more recent expansion signals and single-source populations could not be identified (Cullingham et al 2012a). More recent studies using genome-wide SNPs (Dowle et al 2017;Janes et al 2018) have found similar patterns, demonstrating that both single-and multimarker phylogeographic inferences have limitations in irruptive forest insect species. In contrast, phylogeographic methods proved particularly useful in identifying variation in fungal symbionts.…”
Section: Phylogeographymentioning
confidence: 93%