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Geo-referenced population-specific microsatellite data across American continents, the MacroPopGen Database

Population genetic data from nuclear DNA has yet to be synthesized to allow broad scale comparisons of intraspecific diversity versus species diversity. The MacroPopGen database collates and geo-references vertebrate population genetic data across the Americas from 1,308 nuclear microsatellite DNA s...

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Detalles Bibliográficos
Autores principales: Lawrence, Elizabeth R., Benavente, Javiera N., Matte, Jean-Michel, Marin, Kia, Wells, Zachery R. R., Bernos, Thaïs A., Krasteva, Nia, Habrich, Andrew, Nessel, Gabrielle A., Koumrouyan, Ramela Arax, Fraser, Dylan J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6472428/
https://www.ncbi.nlm.nih.gov/pubmed/30944329
http://dx.doi.org/10.1038/s41597-019-0024-7
Descripción
Sumario:Population genetic data from nuclear DNA has yet to be synthesized to allow broad scale comparisons of intraspecific diversity versus species diversity. The MacroPopGen database collates and geo-references vertebrate population genetic data across the Americas from 1,308 nuclear microsatellite DNA studies, 897 species, and 9,090 genetically distinct populations where genetic differentiation (F(ST)) was measured. Caribbean populations were particularly distinguished from North, Central, and South American populations, in having higher differentiation (F(ST) = 0.12 vs. 0.07–0.09) and lower mean numbers of alleles (MNA = 4.11 vs. 4.84–5.54). While mammalian populations had lower MNA (4.86) than anadromous fish, reptiles, amphibians, freshwater fish, and birds (5.34–7.81), mean heterozygosity was largely similar across groups (0.57–0.63). Mean F(ST) was consistently lowest in anadromous fishes (0.06) and birds (0.05) relative to all other groups (0.09–0.11). Significant differences in Family/Genera variance among continental regions or taxonomic groups were also observed. MacroPopGen can be used in many future applications including latitudinal analyses, spatial analyses (e.g. central-margin), taxonomic comparisons, regional assessments of anthropogenic impacts on biodiversity, and conservation of wild populations.