Published January 9, 2023 | Version v1
Dataset Open

Data for: Geographic isolation reduces genetic diversity of a wide-ranging terrestrial vertebrate, Canis lupus

  • 1. University of Paris-Saclay
  • 2. Utah State University
  • 3. British Columbia Ministry of Forests, Lands, Natural Resource Operations and Rural Development*
  • 4. University of Alberta
  • 5. Environment and Natural Resources, Government of the Northwest Territories*
  • 6. United States Geological Survey
  • 7. University of Calgary

Description

Genetic diversity is theorized to decrease in populations closer to a species' range edge, where habitat may be suboptimal. However, generalist species capable of long-range dispersal may maintain sufficient gene flow to counteract this, though the presence of significant barriers to dispersal (e.g., large water bodies, human-dominated landscapes) may still lead to, and exacerbate, the edge effect. We used microsatellite data for 2,426 gray wolves (Canis lupus) from 24 sub-populations (groups) to model how allelic richness and expected heterozygosity varied with two measures of range edge (mainland-island position, latitude, and distance from range center) across >7.3 million km2 of northern North America. We found that allelic richness and expected heterozygosity of island groups was measurably less than that of mainland groups and that these differences increased with the island's distance to the species' range center in the study area. Our results demonstrate how multiple axes of geographic isolation (distance from range center and island habitation) can act synergistically to erode the genetic diversity of wide-ranging terrestrial vertebrate populations despite the counteracting influence of long-range dispersal ability. These findings emphasize how geographic isolation is a potential threat to the genetic diversity and viability of terrestrial vertebrate populations even among species capable of long-range dispersal. 

This dataset is comprised of four separate sub-datasets, sourced from Carmichael et al. (2007), Musiani et al. (2007), McNay (2006), and a manuscript in progress (referred to as "MacNulty" in the data files, to be first published in Frevol et al. 2023). The raw data are comprised of sample IDs, latitude and longitude points indicating where the sample was collected or recorded, and microsatellite genetic information. To aid in re-use, the raw genetic data has also been formatted and presented for use with common population genetics software (Genepop, MICROCHECKER, Genetix, FSTAT). The dataset also includes spatial data files of the sub-populations described in the study, allelic richness and expected heterozygosity data derived from the raw and spatial data, and the R script used to create the models. 

  • Carmichael LE, Krizan J, Nagy JA, et al (2007) Historical and ecological determinants of genetic structure in arctic canids. Molecular Ecology 16:3466–3483. https://doi.org/10.1111/j.1365-294X.2007.03381.x
  • McNay ME (2006) Preliminary results of parentage analysis using microsatellite markers from an exploited wolf population in central Alaska. Alaska Department of Fish and Game, Division of Wildlife Conservation, Juneau, Alaska
  • Musiani M, Leonard JA, Cluff HD, et al (2007) Differentiation of tundra/taiga and boreal coniferous forest wolves: genetics, coat colour and association with migratory caribou. Molecular Ecology 16:4149–4170. https://doi.org/10.1111/j.1365-294X.2007.03458.x

Notes

Programs and software used: QGIS, Genepop, MICROCHECKER, Genetix, FSTAT, R

Funding provided by: National Geographic Society
Crossref Funder Registry ID: http://dx.doi.org/10.13039/100006363
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Funding provided by: Natural Sciences and Engineering Research Council of Canada
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100000038
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Funding provided by: Alberta Ingenuity Fund*
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Funding provided by: Killam Foundation*
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Funding provided by: Government of Nunavut
Crossref Funder Registry ID: http://dx.doi.org/10.13039/100015876
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Funding provided by: Northern Scientific Training Program*
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Funding provided by: Network of Centres of Excellence of Canada ArcticNet*
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Funding provided by: Polar Continental Shelf Project*
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Funding provided by: British Broadcasting Corporation
Crossref Funder Registry ID: http://dx.doi.org/10.13039/100013243
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Funding provided by: Gulo Film Productions*
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Funding provided by: John Downer Productions*
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Funding provided by: Plimsoll Productions*
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Funding provided by: Silverback Films*
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Funding provided by: Alaska Department of Fish and Game
Crossref Funder Registry ID: http://dx.doi.org/10.13039/100008144
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Funding provided by: Federal Aid in Wildlife Restoration grants (USA)*
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Funding provided by: BHP-Billiton Inc. (Melbourne, Australia)*
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Funding provided by: Biodiversity Challenge Grants*
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Funding provided by: Department of Indian and Northern Affairs Canada*
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Funding provided by: Diavik Diamond Mines Inc.*
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Funding provided by: Ekati Diamond Mine *
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Funding provided by: Government of Canada Award*
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Funding provided by: Government of the Northwest Territories (Department of Environment and Natural Resources)*
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Funding provided by: Izaak Walton Killam Memorial*
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Funding provided by: Mountain Equipment Coop*
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Funding provided by: National Science Foundation
Crossref Funder Registry ID: http://dx.doi.org/10.13039/100000001
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Funding provided by: Northern Scientific Training Program Grant*
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Funding provided by: Swedish Research Council
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100004359
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Funding provided by: TD Canada Trust*
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Funding provided by: West Kitikmeot/Slave Study Society*
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Funding provided by: World Wildlife Fund
Crossref Funder Registry ID: http://dx.doi.org/10.13039/100001399
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Additional details

Related works

Is cited by
10.1007/s10592-007-9413-0 (DOI)