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CaliPopGen: A genetic and life history database for the fauna and flora of California

CaliPopGen is a database of population genetic data for native and naturalized eukaryotic species in California, USA. It summarizes the published literature (1985–2020) for 5,453 unique populations with genetic data from more than 187,394 individuals and 448 species (513 species plus subspecies) acr...

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Autores principales: Beninde, Joscha, Toffelmier, Erin M., Andreas, Aarron, Nishioka, Celina, Slay, Meryl, Soto, Ashley, Bueno, Justin P, Gonzalez, Germar, Pham, Hannah V., Posta, Molly, Pace, Jordan L., Shaffer, H. Bradley
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9256587/
https://www.ncbi.nlm.nih.gov/pubmed/35790740
http://dx.doi.org/10.1038/s41597-022-01479-z
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author Beninde, Joscha
Toffelmier, Erin M.
Andreas, Aarron
Nishioka, Celina
Slay, Meryl
Soto, Ashley
Bueno, Justin P
Gonzalez, Germar
Pham, Hannah V.
Posta, Molly
Pace, Jordan L.
Shaffer, H. Bradley
author_facet Beninde, Joscha
Toffelmier, Erin M.
Andreas, Aarron
Nishioka, Celina
Slay, Meryl
Soto, Ashley
Bueno, Justin P
Gonzalez, Germar
Pham, Hannah V.
Posta, Molly
Pace, Jordan L.
Shaffer, H. Bradley
author_sort Beninde, Joscha
collection PubMed
description CaliPopGen is a database of population genetic data for native and naturalized eukaryotic species in California, USA. It summarizes the published literature (1985–2020) for 5,453 unique populations with genetic data from more than 187,394 individuals and 448 species (513 species plus subspecies) across molecular markers including allozymes, RFLPs, mtDNA, microsatellites, nDNA, and SNPs. Terrestrial habitats accounted for the majority (46.4%) of the genetic data. Taxonomic groups with the greatest representation were Magnoliophyta (20.31%), Insecta (13.4%), and Actinopterygii (12.85%). CaliPopGen also reports life-history data for most included species to enable analyses of the drivers of genetic diversity across the state. The large number of populations and wide taxonomic breadth will facilitate explorations of ecological patterns and processes across the varied geography of California. CaliPopGen covers all terrestrial and marine ecoregions of California and has a greater density of species and georeferenced populations than any previously published population genetic database. It is thus uniquely suited to inform conservation management at the regional and state levels across taxonomic groups.
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spelling pubmed-92565872022-07-07 CaliPopGen: A genetic and life history database for the fauna and flora of California Beninde, Joscha Toffelmier, Erin M. Andreas, Aarron Nishioka, Celina Slay, Meryl Soto, Ashley Bueno, Justin P Gonzalez, Germar Pham, Hannah V. Posta, Molly Pace, Jordan L. Shaffer, H. Bradley Sci Data Data Descriptor CaliPopGen is a database of population genetic data for native and naturalized eukaryotic species in California, USA. It summarizes the published literature (1985–2020) for 5,453 unique populations with genetic data from more than 187,394 individuals and 448 species (513 species plus subspecies) across molecular markers including allozymes, RFLPs, mtDNA, microsatellites, nDNA, and SNPs. Terrestrial habitats accounted for the majority (46.4%) of the genetic data. Taxonomic groups with the greatest representation were Magnoliophyta (20.31%), Insecta (13.4%), and Actinopterygii (12.85%). CaliPopGen also reports life-history data for most included species to enable analyses of the drivers of genetic diversity across the state. The large number of populations and wide taxonomic breadth will facilitate explorations of ecological patterns and processes across the varied geography of California. CaliPopGen covers all terrestrial and marine ecoregions of California and has a greater density of species and georeferenced populations than any previously published population genetic database. It is thus uniquely suited to inform conservation management at the regional and state levels across taxonomic groups. Nature Publishing Group UK 2022-07-05 /pmc/articles/PMC9256587/ /pubmed/35790740 http://dx.doi.org/10.1038/s41597-022-01479-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Data Descriptor
Beninde, Joscha
Toffelmier, Erin M.
Andreas, Aarron
Nishioka, Celina
Slay, Meryl
Soto, Ashley
Bueno, Justin P
Gonzalez, Germar
Pham, Hannah V.
Posta, Molly
Pace, Jordan L.
Shaffer, H. Bradley
CaliPopGen: A genetic and life history database for the fauna and flora of California
title CaliPopGen: A genetic and life history database for the fauna and flora of California
title_full CaliPopGen: A genetic and life history database for the fauna and flora of California
title_fullStr CaliPopGen: A genetic and life history database for the fauna and flora of California
title_full_unstemmed CaliPopGen: A genetic and life history database for the fauna and flora of California
title_short CaliPopGen: A genetic and life history database for the fauna and flora of California
title_sort calipopgen: a genetic and life history database for the fauna and flora of california
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9256587/
https://www.ncbi.nlm.nih.gov/pubmed/35790740
http://dx.doi.org/10.1038/s41597-022-01479-z
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