Data from: Quantifying the similarity between genes and geography across Alaska's alpine small mammals
Aim: Quantitatively evaluate the similarity of genomic variation and geography in five different alpine small mammals in Alaska, and use this quantitative assessment of concordance as a framework for refining hypotheses about the processes structuring population genetic variation in either a species...
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ftdans:oai:easy.dans.knaw.nl:easy-dataset:92473 2023-07-02T03:31:33+02:00 Data from: Quantifying the similarity between genes and geography across Alaska's alpine small mammals Knowles, L. Lacey Massatti, Rob He, Qixin Olson, Link E. Lanier, Hayley C. 2017-03-03T19:11:12.000+01:00 http://nbn-resolving.org/urn:nbn:nl:ui:13-fq-hvat https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:92473 unknown doi:10.5061/dryad.8jm51/1 doi:10.5061/dryad.8jm51/2 doi:10.5061/dryad.8jm51/3 doi:10.5061/dryad.8jm51/4 doi:10.5061/dryad.8jm51/5 doi:10.5061/dryad.8jm51/6 doi:10.1111/jbi.12728 http://nbn-resolving.org/urn:nbn:nl:ui:13-fq-hvat doi:10.5061/dryad.8jm51 https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:92473 OPEN_ACCESS: The data are archived in Easy, they are accessible elsewhere through the DOI https://dans.knaw.nl/en/about/organisation-and-policy/legal-information/DANSLicence.pdf Life sciences medicine and health care 2017 ftdans https://doi.org/10.5061/dryad.8jm51/110.5061/dryad.8jm51/210.5061/dryad.8jm51/310.5061/dryad.8jm51/410.5061/dryad.8jm51/510.5061/dryad.8jm51/610.1111/jbi.1272810.5061/dryad.8jm51 2023-06-13T13:01:24Z Aim: Quantitatively evaluate the similarity of genomic variation and geography in five different alpine small mammals in Alaska, and use this quantitative assessment of concordance as a framework for refining hypotheses about the processes structuring population genetic variation in either a species-specific or shared manner. Location: Alaska and adjacent north-western Canada. Methods: For each taxon we generated 3500–7500 single-nucleotide polymorphisms and applied a Procrustes analysis to find an optimal transformation that maximizes the similarity between principal components analysis maps of genetic variation and geographical maps of sample locations. We generate stability maps using projected distributions from ecological niche models of the Last Glacial Maximum and the present. Results: Significant similarity between genes and geography exists across taxa. However, the extent to which geography is predictive of patterns of genetic variation not only differs among taxa, but the correspondence between genes and geography varies over space. Geographical areas where genetic structure aligns poorly with the geographical coordinates are of particular interest because they indicate regions where processes other than isolation by distance (IBD) have influenced genetic variation. The clustering of individuals according to their sample location does not support suppositions of admixture, despite the presumed high vagility of some species (e.g. arctic ground squirrels). Main conclusions: Genomic data indicate a more nuanced biogeographical history for the taxa than suggested by previous studies based on mtDNA alone. These include departures from IBD that are shared among taxa, which suggest some shared processes structuring genetic variation, including new potential ancestral source populations. In addition, some regions fit expectations of IBD where incremental migration and gene flow play a strong role in population structure, despite any ecological difference among taxa. Differences in dispersal capabilities do ... Other/Unknown Material Arctic Alaska Data Archiving and Networked Services (DANS): EASY (KNAW - Koninklijke Nederlandse Akademie van Wetenschappen) Arctic Canada |
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Data Archiving and Networked Services (DANS): EASY (KNAW - Koninklijke Nederlandse Akademie van Wetenschappen) |
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ftdans |
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topic |
Life sciences medicine and health care |
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Life sciences medicine and health care Knowles, L. Lacey Massatti, Rob He, Qixin Olson, Link E. Lanier, Hayley C. Data from: Quantifying the similarity between genes and geography across Alaska's alpine small mammals |
topic_facet |
Life sciences medicine and health care |
description |
Aim: Quantitatively evaluate the similarity of genomic variation and geography in five different alpine small mammals in Alaska, and use this quantitative assessment of concordance as a framework for refining hypotheses about the processes structuring population genetic variation in either a species-specific or shared manner. Location: Alaska and adjacent north-western Canada. Methods: For each taxon we generated 3500–7500 single-nucleotide polymorphisms and applied a Procrustes analysis to find an optimal transformation that maximizes the similarity between principal components analysis maps of genetic variation and geographical maps of sample locations. We generate stability maps using projected distributions from ecological niche models of the Last Glacial Maximum and the present. Results: Significant similarity between genes and geography exists across taxa. However, the extent to which geography is predictive of patterns of genetic variation not only differs among taxa, but the correspondence between genes and geography varies over space. Geographical areas where genetic structure aligns poorly with the geographical coordinates are of particular interest because they indicate regions where processes other than isolation by distance (IBD) have influenced genetic variation. The clustering of individuals according to their sample location does not support suppositions of admixture, despite the presumed high vagility of some species (e.g. arctic ground squirrels). Main conclusions: Genomic data indicate a more nuanced biogeographical history for the taxa than suggested by previous studies based on mtDNA alone. These include departures from IBD that are shared among taxa, which suggest some shared processes structuring genetic variation, including new potential ancestral source populations. In addition, some regions fit expectations of IBD where incremental migration and gene flow play a strong role in population structure, despite any ecological difference among taxa. Differences in dispersal capabilities do ... |
author |
Knowles, L. Lacey Massatti, Rob He, Qixin Olson, Link E. Lanier, Hayley C. |
author_facet |
Knowles, L. Lacey Massatti, Rob He, Qixin Olson, Link E. Lanier, Hayley C. |
author_sort |
Knowles, L. Lacey |
title |
Data from: Quantifying the similarity between genes and geography across Alaska's alpine small mammals |
title_short |
Data from: Quantifying the similarity between genes and geography across Alaska's alpine small mammals |
title_full |
Data from: Quantifying the similarity between genes and geography across Alaska's alpine small mammals |
title_fullStr |
Data from: Quantifying the similarity between genes and geography across Alaska's alpine small mammals |
title_full_unstemmed |
Data from: Quantifying the similarity between genes and geography across Alaska's alpine small mammals |
title_sort |
data from: quantifying the similarity between genes and geography across alaska's alpine small mammals |
publishDate |
2017 |
url |
http://nbn-resolving.org/urn:nbn:nl:ui:13-fq-hvat https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:92473 |
geographic |
Arctic Canada |
geographic_facet |
Arctic Canada |
genre |
Arctic Alaska |
genre_facet |
Arctic Alaska |
op_relation |
doi:10.5061/dryad.8jm51/1 doi:10.5061/dryad.8jm51/2 doi:10.5061/dryad.8jm51/3 doi:10.5061/dryad.8jm51/4 doi:10.5061/dryad.8jm51/5 doi:10.5061/dryad.8jm51/6 doi:10.1111/jbi.12728 http://nbn-resolving.org/urn:nbn:nl:ui:13-fq-hvat doi:10.5061/dryad.8jm51 https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:92473 |
op_rights |
OPEN_ACCESS: The data are archived in Easy, they are accessible elsewhere through the DOI https://dans.knaw.nl/en/about/organisation-and-policy/legal-information/DANSLicence.pdf |
op_doi |
https://doi.org/10.5061/dryad.8jm51/110.5061/dryad.8jm51/210.5061/dryad.8jm51/310.5061/dryad.8jm51/410.5061/dryad.8jm51/510.5061/dryad.8jm51/610.1111/jbi.1272810.5061/dryad.8jm51 |
_version_ |
1770270915008921600 |