2017
DOI: 10.1111/evo.13386
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Integrating phylogenomic and population genomic patterns in avian lice provides a more complete picture of parasite evolution

Abstract: Parasite diversity accounts for most of the biodiversity on earth, and is shaped by many processes (e.g., cospeciation, host switching). To identify the effects of the processes that shape parasite diversity, it is ideal to incorporate both deep (phylogenetic) and shallow (population) perspectives. To this end, we developed a novel workflow to obtain phylogenetic and population genetic data from whole genome sequences of body lice parasitizing New World ground-doves. Phylogenies from these data showed consiste… Show more

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Cited by 28 publications
(27 citation statements)
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References 131 publications
(214 reference statements)
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“…Geography may also help explain the patterns of likely host switching that we uncovered (similar to avian lice studied in Weckstein 2004, Sweet and Johnson 2016, Catanach et al 2017, Sweet et al 2017). The hosts we studied vary in their geographic overlap during different stages of their annual cycle (breeding, migration, non-breeding;Stephenson and Whittle 2013).…”
Section: Influence Of Host Ecology On Feather Mite Diversificationmentioning
confidence: 87%
“…Geography may also help explain the patterns of likely host switching that we uncovered (similar to avian lice studied in Weckstein 2004, Sweet and Johnson 2016, Catanach et al 2017, Sweet et al 2017). The hosts we studied vary in their geographic overlap during different stages of their annual cycle (breeding, migration, non-breeding;Stephenson and Whittle 2013).…”
Section: Influence Of Host Ecology On Feather Mite Diversificationmentioning
confidence: 87%
“…We obtained additional raw genomic read data from ncbi's sra database for five in‐group (SRR3161921‐SRR3161923, SRR3161930‐SRR3161931) and four out‐group Columbicola taxa ( C. columbae : SRR3161917, C. gracilicapitis : SRR3161913, C. macrourae : SRR3161953, C. veigasimoni : SRR3161919) (Boyd et al, ). We also obtained raw sequence reads for 34 body louse individuals ( Physconelloides ) from the SRA database (SRP076185) (Sweet et al, ). These data represent all described ground‐dove wing and body louse species, several potential cryptic species and most host species and biogeographic areas (Supporting Information Table ).…”
Section: Methodsmentioning
confidence: 99%
“…To assemble nuclear loci from genomic reads, we used an approach similar to the one detailed in Sweet et al (), which maps lower coverage, multiplexed genomic data to reference loci from a closely related taxon. For our reference set of nuclear loci for wing lice, we used 1,039 exons of Columbicola drowni generated in Boyd et al () (raw data: SRR3161922).…”
Section: Methodsmentioning
confidence: 99%
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