Multi‐level patterns in population genetics: Variogram series detects a hidden isolation‐by‐distance‐dominated structure of Scandinavian brown bears Ursus arctos
Abstract Large‐scale pattern‐oriented approaches are useful to understand the multi‐level processes that shape the genetic structure of a population. Matching the scales of patterns and putative processes is both a key to success and a challenge. We have developed a simple statistical approach, base...
Published in: | Methods in Ecology and Evolution |
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Online Access: | http://dx.doi.org/10.1111/2041-210x.12980 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2F2041-210X.12980 https://onlinelibrary.wiley.com/doi/pdf/10.1111/2041-210X.12980 https://onlinelibrary.wiley.com/doi/full-xml/10.1111/2041-210X.12980 https://besjournals.onlinelibrary.wiley.com/doi/pdf/10.1111/2041-210X.12980 |
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crwiley:10.1111/2041-210x.12980 2024-06-23T07:57:22+00:00 Multi‐level patterns in population genetics: Variogram series detects a hidden isolation‐by‐distance‐dominated structure of Scandinavian brown bears Ursus arctos Schregel, Julia Remm, Jaanus Eiken, Hans Geir Swenson, Jon E. Saarma, Urmas Hagen, Snorre B. Gaggiotti, Oscar 2018 http://dx.doi.org/10.1111/2041-210x.12980 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2F2041-210X.12980 https://onlinelibrary.wiley.com/doi/pdf/10.1111/2041-210X.12980 https://onlinelibrary.wiley.com/doi/full-xml/10.1111/2041-210X.12980 https://besjournals.onlinelibrary.wiley.com/doi/pdf/10.1111/2041-210X.12980 en eng Wiley http://onlinelibrary.wiley.com/termsAndConditions#vor Methods in Ecology and Evolution volume 9, issue 5, page 1324-1334 ISSN 2041-210X 2041-210X journal-article 2018 crwiley https://doi.org/10.1111/2041-210x.12980 2024-06-13T04:22:09Z Abstract Large‐scale pattern‐oriented approaches are useful to understand the multi‐level processes that shape the genetic structure of a population. Matching the scales of patterns and putative processes is both a key to success and a challenge. We have developed a simple statistical approach, based on variogram analysis, that identifies multiple spatial scales where the population pattern, in this case genetic structure, have highest expression (i.e. the spatial scales at which the strength of patterning of isolation‐by‐distance ( IBD ) residual variance reached maximum) from empirical data and, thus, at which scales it should be studied relative to the underlying processes. The approach is applicable to any spatially explicit pairwise data, including genetic, morphological or ecological distance or similarity of individuals, populations and ecosystems. To exemplify possible applications of this approach, we analysed microsatellite genotypes of 1,530 brown bears from Sweden and Norway. The variogram approach identified two scales at which population structure was strongest, thus indicating two different scale‐dependent processes: home‐range‐related processes at scales <35 km, and subpopulation division at scales >98 km. On the basis of this, we performed a scale‐explicit analysis of genetic structure using DR esD analysis and compared the results with those obtained by the Bayesian clustering implemented in structure . We found that the genetic cluster identified in central Scandinavia by Structure is caused by IBD , with distinct gene flow barriers to the south and north. We discuss possible applications and research perspectives to further develop the approach. Article in Journal/Newspaper Ursus arctos Wiley Online Library Norway Methods in Ecology and Evolution 9 5 1324 1334 |
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Wiley Online Library |
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crwiley |
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English |
description |
Abstract Large‐scale pattern‐oriented approaches are useful to understand the multi‐level processes that shape the genetic structure of a population. Matching the scales of patterns and putative processes is both a key to success and a challenge. We have developed a simple statistical approach, based on variogram analysis, that identifies multiple spatial scales where the population pattern, in this case genetic structure, have highest expression (i.e. the spatial scales at which the strength of patterning of isolation‐by‐distance ( IBD ) residual variance reached maximum) from empirical data and, thus, at which scales it should be studied relative to the underlying processes. The approach is applicable to any spatially explicit pairwise data, including genetic, morphological or ecological distance or similarity of individuals, populations and ecosystems. To exemplify possible applications of this approach, we analysed microsatellite genotypes of 1,530 brown bears from Sweden and Norway. The variogram approach identified two scales at which population structure was strongest, thus indicating two different scale‐dependent processes: home‐range‐related processes at scales <35 km, and subpopulation division at scales >98 km. On the basis of this, we performed a scale‐explicit analysis of genetic structure using DR esD analysis and compared the results with those obtained by the Bayesian clustering implemented in structure . We found that the genetic cluster identified in central Scandinavia by Structure is caused by IBD , with distinct gene flow barriers to the south and north. We discuss possible applications and research perspectives to further develop the approach. |
author2 |
Gaggiotti, Oscar |
format |
Article in Journal/Newspaper |
author |
Schregel, Julia Remm, Jaanus Eiken, Hans Geir Swenson, Jon E. Saarma, Urmas Hagen, Snorre B. |
spellingShingle |
Schregel, Julia Remm, Jaanus Eiken, Hans Geir Swenson, Jon E. Saarma, Urmas Hagen, Snorre B. Multi‐level patterns in population genetics: Variogram series detects a hidden isolation‐by‐distance‐dominated structure of Scandinavian brown bears Ursus arctos |
author_facet |
Schregel, Julia Remm, Jaanus Eiken, Hans Geir Swenson, Jon E. Saarma, Urmas Hagen, Snorre B. |
author_sort |
Schregel, Julia |
title |
Multi‐level patterns in population genetics: Variogram series detects a hidden isolation‐by‐distance‐dominated structure of Scandinavian brown bears Ursus arctos |
title_short |
Multi‐level patterns in population genetics: Variogram series detects a hidden isolation‐by‐distance‐dominated structure of Scandinavian brown bears Ursus arctos |
title_full |
Multi‐level patterns in population genetics: Variogram series detects a hidden isolation‐by‐distance‐dominated structure of Scandinavian brown bears Ursus arctos |
title_fullStr |
Multi‐level patterns in population genetics: Variogram series detects a hidden isolation‐by‐distance‐dominated structure of Scandinavian brown bears Ursus arctos |
title_full_unstemmed |
Multi‐level patterns in population genetics: Variogram series detects a hidden isolation‐by‐distance‐dominated structure of Scandinavian brown bears Ursus arctos |
title_sort |
multi‐level patterns in population genetics: variogram series detects a hidden isolation‐by‐distance‐dominated structure of scandinavian brown bears ursus arctos |
publisher |
Wiley |
publishDate |
2018 |
url |
http://dx.doi.org/10.1111/2041-210x.12980 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2F2041-210X.12980 https://onlinelibrary.wiley.com/doi/pdf/10.1111/2041-210X.12980 https://onlinelibrary.wiley.com/doi/full-xml/10.1111/2041-210X.12980 https://besjournals.onlinelibrary.wiley.com/doi/pdf/10.1111/2041-210X.12980 |
geographic |
Norway |
geographic_facet |
Norway |
genre |
Ursus arctos |
genre_facet |
Ursus arctos |
op_source |
Methods in Ecology and Evolution volume 9, issue 5, page 1324-1334 ISSN 2041-210X 2041-210X |
op_rights |
http://onlinelibrary.wiley.com/termsAndConditions#vor |
op_doi |
https://doi.org/10.1111/2041-210x.12980 |
container_title |
Methods in Ecology and Evolution |
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9 |
container_issue |
5 |
container_start_page |
1324 |
op_container_end_page |
1334 |
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1802650972346908672 |