2020
DOI: 10.1002/ece3.6416
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Genotyping‐in‐Thousands by sequencing reveals marked population structure in Western Rattlesnakes to inform conservation status

Abstract: Delineation of units below the species level is critical for prioritizing conservation actions for species at‐risk. Genetic studies play an important role in characterizing patterns of population connectivity and diversity to inform the designation of conservation units, especially for populations that are geographically isolated. The northernmost range margin of Western Rattlesnakes ( Crotalus oreganus ) occurs in British Columbia, Canada, where it is federally classified as threatened … Show more

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Cited by 16 publications
(15 citation statements)
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“…ddRADseq), as long as there are loci in common. However, differences in genotyping calling methods between GT-seq and RADseq datasets may contribute to genotype discordance among datasets (Schmidt et al, 2020). To address this possibility, we called genotypes from our GT-seq data using both the original calling pipeline for GT-seq and a BCFTOOLS workflow previously used to call genotypes from ddRADseq data (Jensen et al, 2020).…”
Section: Discussionmentioning
confidence: 99%
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“…ddRADseq), as long as there are loci in common. However, differences in genotyping calling methods between GT-seq and RADseq datasets may contribute to genotype discordance among datasets (Schmidt et al, 2020). To address this possibility, we called genotypes from our GT-seq data using both the original calling pipeline for GT-seq and a BCFTOOLS workflow previously used to call genotypes from ddRADseq data (Jensen et al, 2020).…”
Section: Discussionmentioning
confidence: 99%
“…We used the GT-seq pipeline available on GitHub (https://github.com/GTseq/GTseq-Pipeline) for filtering to a minimum depth of 10 and genotype calling, as suggested by Campbell et al (2015). However, we were also interested in examining genotype discordance between different SNP calling models, as some discrepancy has been found between the GT-seq pipeline and other workflows used to call RADseq data (Schmidt et al, 2020). As BCFTOOLS (Li, 2011) is a common genotyping tool and was used to call genotypes for our original ddRADseq dataset (Jensen et al, 2020), we used this same workflow to process our raw GT-seq sequencing reads.…”
Section: Gt-seq Genotyping and Genotype Calling Methodsmentioning
confidence: 99%
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“…Originally demonstrated in steelhead trout [24], GT-seq has been subsequently applied to the study of other fish species, including redband trout [66], brook trout [67], Pacific lamprey [68], and walleye [69]. More recently, the efficacy of using GT-seq for genotyping minimally-invasive samples has been demonstrated [46], and successfully applied to further understanding of the molecular ecology and conservation status of the at-risk Western rattlesnake [70]. To the best of our knowledge, our study is the first to demonstrate use of GT-seq to inform invasive species management to help mitigate biodiversity loss.…”
Section: Plos Onementioning
confidence: 99%
“…In the recent article by Schmidt et al (2020), the authors inadvertently neglected to acknowledge Daniel Beck, Joey Chase, and J. D. Brooks (Central Washington University), who contributed samples that were invaluable to this study. The updated Acknowledgements section is as follows:…”
mentioning
confidence: 99%