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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Main Authors: Knowles, L. Lacey, Massatti, Rob, He, Qixin, Olson, Link E., Lanier, Hayley C.
Format: Article in Journal/Newspaper
Language:unknown
Published: 2017
Subjects:
Online Access:http://hdl.handle.net/10255/dryad.107764
https://doi.org/10.5061/dryad.8jm51
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spelling ftdryad:oai:v1.datadryad.org:10255/dryad.107764 2023-05-15T15:17:26+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. Alaska Pleistocene Holocene 2017-03-03T18:11:12Z http://hdl.handle.net/10255/dryad.107764 https://doi.org/10.5061/dryad.8jm51 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 doi:10.5061/dryad.8jm51 Knowles LL, Massatti R, He Q, Olson LE, Lanier HC (2016) Quantifying the similarity between genes and geography across Alaska's alpine small mammals. Journal of Biogeography 43(7): 1464-1476. http://hdl.handle.net/10255/dryad.107764 climate change isolation by distance mammal next generation sequencing phylogeography Procrustes analyses RADseq Article 2017 ftdryad https://doi.org/10.5061/dryad.8jm51 https://doi.org/10.5061/dryad.8jm51/1 https://doi.org/10.5061/dryad.8jm51/2 https://doi.org/10.5061/dryad.8jm51/3 https://doi.org/10.5061/dryad.8jm51/4 https://doi.org/10.5061/dryad.8jm51/5 https://doi.org/1 2020-01-01T15:30:19Z 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 not result in different species-specific local patterns of population structure, at least at the sampling scale examined here. We highlight how the general fit to, as well as departures from, expectations for patterns of genetic variation based on the Procrustes analyses can be used to generate hypotheses about the underlying processes. Article in Journal/Newspaper Arctic Climate change Alaska Dryad Digital Repository (Duke University) Arctic Canada
institution Open Polar
collection Dryad Digital Repository (Duke University)
op_collection_id ftdryad
language unknown
topic climate change
isolation by distance
mammal
next generation sequencing
phylogeography
Procrustes analyses
RADseq
spellingShingle climate change
isolation by distance
mammal
next generation sequencing
phylogeography
Procrustes analyses
RADseq
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 climate change
isolation by distance
mammal
next generation sequencing
phylogeography
Procrustes analyses
RADseq
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 not result in different species-specific local patterns of population structure, at least at the sampling scale examined here. We highlight how the general fit to, as well as departures from, expectations for patterns of genetic variation based on the Procrustes analyses can be used to generate hypotheses about the underlying processes.
format Article in Journal/Newspaper
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://hdl.handle.net/10255/dryad.107764
https://doi.org/10.5061/dryad.8jm51
op_coverage Alaska
Pleistocene
Holocene
geographic Arctic
Canada
geographic_facet Arctic
Canada
genre Arctic
Climate change
Alaska
genre_facet Arctic
Climate change
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
doi:10.5061/dryad.8jm51
Knowles LL, Massatti R, He Q, Olson LE, Lanier HC (2016) Quantifying the similarity between genes and geography across Alaska's alpine small mammals. Journal of Biogeography 43(7): 1464-1476.
http://hdl.handle.net/10255/dryad.107764
op_doi https://doi.org/10.5061/dryad.8jm51
https://doi.org/10.5061/dryad.8jm51/1
https://doi.org/10.5061/dryad.8jm51/2
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https://doi.org/10.5061/dryad.8jm51/4
https://doi.org/10.5061/dryad.8jm51/5
https://doi.org/1
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