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First regional evaluation of nuclear genetic diversity and population structure in northeastern coyotes (Canis latrans) [v1; ref status: indexed, http://f1000r.es/2y3]
- Source :
- F1000Research, Vol 3 (2014)
- Publication Year :
- 2014
- Publisher :
- F1000 Research Ltd, 2014.
-
Abstract
- Previous genetic studies of eastern coyotes (Canis latrans) are based on one of two strategies: sampling many individuals using one or very few molecular markers, or sampling very few individuals using many genomic markers. Thus, a regional analysis of genetic diversity and population structure in eastern coyotes using many samples and several molecular markers is lacking. I evaluated genetic diversity and population structure in 385 northeastern coyotes using 16 common single nucleotide polymorphisms (SNPs). A region-wide analysis of population structure revealed three primary genetic populations, but these do not correspond to the same three subdivisions inferred in a previous analysis of mitochondrial DNA sequences. More focused geographic analyses of population structure indicated that ample genetic structure occurs in coyotes from an intermediate contact zone where two range expansion fronts meet. These results demonstrate that genotyping several highly heterozygous SNPs in a large, geographically dense sample is an effective way to detect cryptic population genetic structure. The importance of SNPs in studies of population and wildlife genomics is rapidly increasing; this study adds to the growing body of recent literature that demonstrates the utility of SNPs ascertained from a model organism for evolutionary inference in closely related species.
- Subjects :
- Community Ecology & Biodiversity
Medicine
Science
Subjects
Details
- Language :
- English
- ISSN :
- 20461402
- Volume :
- 3
- Database :
- Directory of Open Access Journals
- Journal :
- F1000Research
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.44fb11891152493ca3dc534a916abc6d
- Document Type :
- article
- Full Text :
- https://doi.org/10.12688/f1000research.3567.1