Single nucleotide polymorphism-based dispersal estimates using noninvasive sampling
Quantifying dispersal within wild populations is an important but challenging task. Here we present a method to estimate contemporary, individual-based dispersal distance from noninvasively collected samples using a specialized panel of 96 SNPs (single nucleotide polymorphisms). One main issue in co...
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Online Access: | https://pub.epsilon.slu.se/12710/ https://pub.epsilon.slu.se/12710/7/norman_a_spong_g_%20151015.pdf https://doi.org/10.1002/ece3.1588 |
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ftslunivuppsala:oai:pub.epsilon.slu.se:12710 2023-05-15T18:42:07+02:00 Single nucleotide polymorphism-based dispersal estimates using noninvasive sampling Norman, Anita Spong, Göran 2015 application/pdf https://pub.epsilon.slu.se/12710/ https://pub.epsilon.slu.se/12710/7/norman_a_spong_g_%20151015.pdf https://doi.org/10.1002/ece3.1588 sv eng swe eng https://pub.epsilon.slu.se/12710/7/norman_a_spong_g_%20151015.pdf Norman, Anita and Spong, Göran (2015). Single nucleotide polymorphism-based dispersal estimates using noninvasive sampling. Ecology and evolution. 5 :15 , 3056-3065 [Research article] cc_by_4 CC-BY Ecology Forest Science Research article PeerReviewed 2015 ftslunivuppsala https://doi.org/10.1002/ece3.1588 2022-01-09T19:13:39Z Quantifying dispersal within wild populations is an important but challenging task. Here we present a method to estimate contemporary, individual-based dispersal distance from noninvasively collected samples using a specialized panel of 96 SNPs (single nucleotide polymorphisms). One main issue in conducting dispersal studies is the requirement for a high sampling resolution at a geographic scale appropriate for capturing the majority of dispersal events. In this study, fecal samples of brown bear (Ursus arctos) were collected by volunteer citizens, resulting in a high sampling resolution spanning over 45,000km(2) in Gavleborg and Dalarna counties in Sweden. SNP genotypes were obtained for unique individuals sampled (n=433) and subsequently used to reconstruct pedigrees. A Mantel test for isolation by distance suggests that the sampling scale was appropriate for females but not for males, which are known to disperse long distances. Euclidean distance was estimated between mother and offspring pairs identified through the reconstructed pedigrees. The mean dispersal distance was 12.9km (SE 3.2) and 33.8km (SE 6.8) for females and males, respectively. These results were significantly different (Wilcoxon's rank-sum test: P-value=0.02) and are in agreement with the previously identified pattern of male-biased dispersal. Our results illustrate the potential of using a combination of noninvasively collected samples at high resolution and specialized SNPs for pedigree-based dispersal models. Article in Journal/Newspaper Ursus arctos Swedish University of Agricultural Sciences (SLU): Epsilon Open Archive Ecology and Evolution 5 15 3056 3065 |
institution |
Open Polar |
collection |
Swedish University of Agricultural Sciences (SLU): Epsilon Open Archive |
op_collection_id |
ftslunivuppsala |
language |
Swedish English |
topic |
Ecology Forest Science |
spellingShingle |
Ecology Forest Science Norman, Anita Spong, Göran Single nucleotide polymorphism-based dispersal estimates using noninvasive sampling |
topic_facet |
Ecology Forest Science |
description |
Quantifying dispersal within wild populations is an important but challenging task. Here we present a method to estimate contemporary, individual-based dispersal distance from noninvasively collected samples using a specialized panel of 96 SNPs (single nucleotide polymorphisms). One main issue in conducting dispersal studies is the requirement for a high sampling resolution at a geographic scale appropriate for capturing the majority of dispersal events. In this study, fecal samples of brown bear (Ursus arctos) were collected by volunteer citizens, resulting in a high sampling resolution spanning over 45,000km(2) in Gavleborg and Dalarna counties in Sweden. SNP genotypes were obtained for unique individuals sampled (n=433) and subsequently used to reconstruct pedigrees. A Mantel test for isolation by distance suggests that the sampling scale was appropriate for females but not for males, which are known to disperse long distances. Euclidean distance was estimated between mother and offspring pairs identified through the reconstructed pedigrees. The mean dispersal distance was 12.9km (SE 3.2) and 33.8km (SE 6.8) for females and males, respectively. These results were significantly different (Wilcoxon's rank-sum test: P-value=0.02) and are in agreement with the previously identified pattern of male-biased dispersal. Our results illustrate the potential of using a combination of noninvasively collected samples at high resolution and specialized SNPs for pedigree-based dispersal models. |
format |
Article in Journal/Newspaper |
author |
Norman, Anita Spong, Göran |
author_facet |
Norman, Anita Spong, Göran |
author_sort |
Norman, Anita |
title |
Single nucleotide polymorphism-based dispersal estimates using noninvasive sampling |
title_short |
Single nucleotide polymorphism-based dispersal estimates using noninvasive sampling |
title_full |
Single nucleotide polymorphism-based dispersal estimates using noninvasive sampling |
title_fullStr |
Single nucleotide polymorphism-based dispersal estimates using noninvasive sampling |
title_full_unstemmed |
Single nucleotide polymorphism-based dispersal estimates using noninvasive sampling |
title_sort |
single nucleotide polymorphism-based dispersal estimates using noninvasive sampling |
publishDate |
2015 |
url |
https://pub.epsilon.slu.se/12710/ https://pub.epsilon.slu.se/12710/7/norman_a_spong_g_%20151015.pdf https://doi.org/10.1002/ece3.1588 |
genre |
Ursus arctos |
genre_facet |
Ursus arctos |
op_relation |
https://pub.epsilon.slu.se/12710/7/norman_a_spong_g_%20151015.pdf Norman, Anita and Spong, Göran (2015). Single nucleotide polymorphism-based dispersal estimates using noninvasive sampling. Ecology and evolution. 5 :15 , 3056-3065 [Research article] |
op_rights |
cc_by_4 |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.1002/ece3.1588 |
container_title |
Ecology and Evolution |
container_volume |
5 |
container_issue |
15 |
container_start_page |
3056 |
op_container_end_page |
3065 |
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1766231734568878080 |