GenDivRange: A global dataset of geo-referenced population genetic diversity across species ranges
Abstract The spatial distribution of genetic diversity within a species’ range reflects its past demographic history, and its knowledge is essential to better understand the limits of species ranges and to predict range shifts in response to a changing environment. We present GenDivRange, a unified...
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| Format: | Article |
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Nature Portfolio
2025-06-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-025-05303-2 |
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| author | Katalin Csilléry Haonan Yang Tin Hang Hung Priscila Rodríguez-Rodríguez Jonathan Miller Viviani Mantovani Yohann Chauvier-Mendes Michael P. Nobis |
| author_facet | Katalin Csilléry Haonan Yang Tin Hang Hung Priscila Rodríguez-Rodríguez Jonathan Miller Viviani Mantovani Yohann Chauvier-Mendes Michael P. Nobis |
| author_sort | Katalin Csilléry |
| collection | DOAJ |
| description | Abstract The spatial distribution of genetic diversity within a species’ range reflects its past demographic history, and its knowledge is essential to better understand the limits of species ranges and to predict range shifts in response to a changing environment. We present GenDivRange, a unified dataset of published geo-referenced estimates of genetic diversity for 1,109 species, each represented by at least five populations placed on their range maps estimated from Global Biodiversity Information Facility (GBIF) observations. A total of 19,173 populations across the globe and from most major taxa, covering terrestrial, freshwater, and marine organisms, are included. At least one of the three genetic diversity estimates is available for each study: expected heterozygosity, Nei’s gene diversity, or allelic richness, mostly estimated from microsatellite markers. Additionally, the dataset contains the detailed taxonomy, biome, breeding, and adult habitat of each species. |
| format | Article |
| id | doaj-art-79aa9b97a6fa459b96201709b06558b9 |
| institution | Kabale University |
| issn | 2052-4463 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj-art-79aa9b97a6fa459b96201709b06558b92025-08-20T03:45:11ZengNature PortfolioScientific Data2052-44632025-06-0112111110.1038/s41597-025-05303-2GenDivRange: A global dataset of geo-referenced population genetic diversity across species rangesKatalin Csilléry0Haonan Yang1Tin Hang Hung2Priscila Rodríguez-Rodríguez3Jonathan Miller4Viviani Mantovani5Yohann Chauvier-Mendes6Michael P. Nobis7Evolutionary Genetics Group, Biodiversity and Conservation Biology Unit, Swiss Federal Research Institute WSLEvolutionary Genetics Group, Biodiversity and Conservation Biology Unit, Swiss Federal Research Institute WSLDepartment of Biology, University of OxfordInstituto Universitario de Estudios Ambientales y Recursos Naturales (IUNAT), Universidad de Las Palmas de Gran Canaria, Campus Universitario de TafiraDepartamento de Biología, Universidad Nacional Autónoma de Honduras Campus de CortésEvolutionary Genetics Group, Department of Evolutionary Anthropology, University of ZurichEvolutionary Genetics Group, Biodiversity and Conservation Biology Unit, Swiss Federal Research Institute WSLDynamic Macroecology Group, Land Change Science Unit, Swiss Federal Research Institute WSLAbstract The spatial distribution of genetic diversity within a species’ range reflects its past demographic history, and its knowledge is essential to better understand the limits of species ranges and to predict range shifts in response to a changing environment. We present GenDivRange, a unified dataset of published geo-referenced estimates of genetic diversity for 1,109 species, each represented by at least five populations placed on their range maps estimated from Global Biodiversity Information Facility (GBIF) observations. A total of 19,173 populations across the globe and from most major taxa, covering terrestrial, freshwater, and marine organisms, are included. At least one of the three genetic diversity estimates is available for each study: expected heterozygosity, Nei’s gene diversity, or allelic richness, mostly estimated from microsatellite markers. Additionally, the dataset contains the detailed taxonomy, biome, breeding, and adult habitat of each species.https://doi.org/10.1038/s41597-025-05303-2 |
| spellingShingle | Katalin Csilléry Haonan Yang Tin Hang Hung Priscila Rodríguez-Rodríguez Jonathan Miller Viviani Mantovani Yohann Chauvier-Mendes Michael P. Nobis GenDivRange: A global dataset of geo-referenced population genetic diversity across species ranges Scientific Data |
| title | GenDivRange: A global dataset of geo-referenced population genetic diversity across species ranges |
| title_full | GenDivRange: A global dataset of geo-referenced population genetic diversity across species ranges |
| title_fullStr | GenDivRange: A global dataset of geo-referenced population genetic diversity across species ranges |
| title_full_unstemmed | GenDivRange: A global dataset of geo-referenced population genetic diversity across species ranges |
| title_short | GenDivRange: A global dataset of geo-referenced population genetic diversity across species ranges |
| title_sort | gendivrange a global dataset of geo referenced population genetic diversity across species ranges |
| url | https://doi.org/10.1038/s41597-025-05303-2 |
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