A standardized method for quantifying unidirectional genetic introgression
Genetic introgression of domesticated to wild conspecifics is of great concern to the genetic integrity and viability of the wild populations. Therefore, we need tools that can be used for monitoring unidirectional gene flow from domesticated to wild populations. A challenge to quantitation of unidi...
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ftpubmed:oai:pubmedcentral.nih.gov:4222212 2023-05-15T15:32:47+02:00 A standardized method for quantifying unidirectional genetic introgression Karlsson, Sten Diserud, Ola H Moen, Thomas Hindar, Kjetil 2014-08 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4222212 http://www.ncbi.nlm.nih.gov/pubmed/25473478 https://doi.org/10.1002/ece3.1169 en eng Blackwell Publishing Ltd http://www.ncbi.nlm.nih.gov/pmc/articles/PMC http://www.ncbi.nlm.nih.gov/pubmed/25473478 http://dx.doi.org/10.1002/ece3.1169 © 2014 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. http://creativecommons.org/licenses/by/3.0/ This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. CC-BY Original Research Text 2014 ftpubmed https://doi.org/10.1002/ece3.1169 2014-12-07T01:27:56Z Genetic introgression of domesticated to wild conspecifics is of great concern to the genetic integrity and viability of the wild populations. Therefore, we need tools that can be used for monitoring unidirectional gene flow from domesticated to wild populations. A challenge to quantitation of unidirectional gene flow is that both the donor and the recipient population may be genetically substructured and that the subpopulations are subjected to genetic drift and may exchange migrants between one another. We develop a standardized method for quantifying and monitoring domesticated to wild gene flow and demonstrate its usefulness to farm and wild Atlantic salmon as a model species. The challenge of having several wild and farm populations was circumvented by in silico generating one analytical center point for farm and wild salmon, respectively. Distributions for the probability that an individual is wild were generated from individual-based analyses of observed wild and farm genotypes using STRUCTURE. We show that estimates of proportions of the genome being of domesticated origin in a particular wild population can be obtained without having a historical reference sample for the same population. The main advantages of the method presented are the standardized way in which genetic processes within and between populations are taken into account, and the individual-based analyses giving estimates for each individual independent of other individuals. The method makes use of established software, and as long as genetic markers showing generic genetic differences between domesticated and wild populations are available, it can be applied to all species with unidirectional gene flow. Results from our method are easy to interpret and understand, and will serve as a powerful tool for management, especially because there is no need for a specific historical wild reference sample. Text Atlantic salmon PubMed Central (PMC) Center Point ENVELOPE(173.160,173.160,52.926,52.926) Ecology and Evolution 4 16 3256 3263 |
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Original Research Karlsson, Sten Diserud, Ola H Moen, Thomas Hindar, Kjetil A standardized method for quantifying unidirectional genetic introgression |
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Original Research |
description |
Genetic introgression of domesticated to wild conspecifics is of great concern to the genetic integrity and viability of the wild populations. Therefore, we need tools that can be used for monitoring unidirectional gene flow from domesticated to wild populations. A challenge to quantitation of unidirectional gene flow is that both the donor and the recipient population may be genetically substructured and that the subpopulations are subjected to genetic drift and may exchange migrants between one another. We develop a standardized method for quantifying and monitoring domesticated to wild gene flow and demonstrate its usefulness to farm and wild Atlantic salmon as a model species. The challenge of having several wild and farm populations was circumvented by in silico generating one analytical center point for farm and wild salmon, respectively. Distributions for the probability that an individual is wild were generated from individual-based analyses of observed wild and farm genotypes using STRUCTURE. We show that estimates of proportions of the genome being of domesticated origin in a particular wild population can be obtained without having a historical reference sample for the same population. The main advantages of the method presented are the standardized way in which genetic processes within and between populations are taken into account, and the individual-based analyses giving estimates for each individual independent of other individuals. The method makes use of established software, and as long as genetic markers showing generic genetic differences between domesticated and wild populations are available, it can be applied to all species with unidirectional gene flow. Results from our method are easy to interpret and understand, and will serve as a powerful tool for management, especially because there is no need for a specific historical wild reference sample. |
format |
Text |
author |
Karlsson, Sten Diserud, Ola H Moen, Thomas Hindar, Kjetil |
author_facet |
Karlsson, Sten Diserud, Ola H Moen, Thomas Hindar, Kjetil |
author_sort |
Karlsson, Sten |
title |
A standardized method for quantifying unidirectional genetic introgression |
title_short |
A standardized method for quantifying unidirectional genetic introgression |
title_full |
A standardized method for quantifying unidirectional genetic introgression |
title_fullStr |
A standardized method for quantifying unidirectional genetic introgression |
title_full_unstemmed |
A standardized method for quantifying unidirectional genetic introgression |
title_sort |
standardized method for quantifying unidirectional genetic introgression |
publisher |
Blackwell Publishing Ltd |
publishDate |
2014 |
url |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4222212 http://www.ncbi.nlm.nih.gov/pubmed/25473478 https://doi.org/10.1002/ece3.1169 |
long_lat |
ENVELOPE(173.160,173.160,52.926,52.926) |
geographic |
Center Point |
geographic_facet |
Center Point |
genre |
Atlantic salmon |
genre_facet |
Atlantic salmon |
op_relation |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC http://www.ncbi.nlm.nih.gov/pubmed/25473478 http://dx.doi.org/10.1002/ece3.1169 |
op_rights |
© 2014 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. http://creativecommons.org/licenses/by/3.0/ This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.1002/ece3.1169 |
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Ecology and Evolution |
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4 |
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16 |
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3256 |
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3263 |
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1766363272130330624 |