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Atlantic salmon populations reveal adaptive divergence of immune related genes - a duplicated genome under selection
BACKGROUND: Populations of Atlantic salmon display highly significant genetic differences with unresolved molecular basis. These differences may result from separate postglacial colonization patterns, diversifying natural selection and adaptation, or a combination. Adaptation could be influenced or...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4982270/ https://www.ncbi.nlm.nih.gov/pubmed/27515098 http://dx.doi.org/10.1186/s12864-016-2867-z |
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author | Kjærner-Semb, Erik Ayllon, Fernando Furmanek, Tomasz Wennevik, Vidar Dahle, Geir Niemelä, Eero Ozerov, Mikhail Vähä, Juha-Pekka Glover, Kevin A. Rubin, Carl J. Wargelius, Anna Edvardsen, Rolf B. |
author_facet | Kjærner-Semb, Erik Ayllon, Fernando Furmanek, Tomasz Wennevik, Vidar Dahle, Geir Niemelä, Eero Ozerov, Mikhail Vähä, Juha-Pekka Glover, Kevin A. Rubin, Carl J. Wargelius, Anna Edvardsen, Rolf B. |
author_sort | Kjærner-Semb, Erik |
collection | PubMed |
description | BACKGROUND: Populations of Atlantic salmon display highly significant genetic differences with unresolved molecular basis. These differences may result from separate postglacial colonization patterns, diversifying natural selection and adaptation, or a combination. Adaptation could be influenced or even facilitated by the recent whole genome duplication in the salmonid lineage which resulted in a partly tetraploid species with duplicated genes and regions. RESULTS: In order to elucidate the genes and genomic regions underlying the genetic differences, we conducted a genome wide association study using whole genome resequencing data from eight populations from Northern and Southern Norway. From a total of ~4.5 million sequencing-derived SNPs, more than 10 % showed significant differentiation between populations from these two regions and ten selective sweeps on chromosomes 5, 10, 11, 13–15, 21, 24 and 25 were identified. These comprised 59 genes, of which 15 had one or more differentiated missense mutation. Our analysis showed that most sweeps have paralogous regions in the partially tetraploid genome, each lacking the high number of significant SNPs found in the sweeps. The most significant sweep was found on Chr 25 and carried several missense mutations in the antiviral mx genes, suggesting that these populations have experienced differing viral pressures. Interestingly the second most significant sweep, found on Chr 5, contains two genes involved in the NF-KB pathway (nkap and nkrf), which is also a known pathogen target that controls a large number of processes in animals. CONCLUSION: Our results show that natural selection acting on immune related genes has contributed to genetic divergence between salmon populations in Norway. The differences between populations may have been facilitated by the plasticity of the salmon genome. The observed signatures of selection in duplicated genomic regions suggest that the recently duplicated genome has provided raw material for evolutionary adaptation. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-016-2867-z) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4982270 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-49822702016-08-13 Atlantic salmon populations reveal adaptive divergence of immune related genes - a duplicated genome under selection Kjærner-Semb, Erik Ayllon, Fernando Furmanek, Tomasz Wennevik, Vidar Dahle, Geir Niemelä, Eero Ozerov, Mikhail Vähä, Juha-Pekka Glover, Kevin A. Rubin, Carl J. Wargelius, Anna Edvardsen, Rolf B. BMC Genomics Research Article BACKGROUND: Populations of Atlantic salmon display highly significant genetic differences with unresolved molecular basis. These differences may result from separate postglacial colonization patterns, diversifying natural selection and adaptation, or a combination. Adaptation could be influenced or even facilitated by the recent whole genome duplication in the salmonid lineage which resulted in a partly tetraploid species with duplicated genes and regions. RESULTS: In order to elucidate the genes and genomic regions underlying the genetic differences, we conducted a genome wide association study using whole genome resequencing data from eight populations from Northern and Southern Norway. From a total of ~4.5 million sequencing-derived SNPs, more than 10 % showed significant differentiation between populations from these two regions and ten selective sweeps on chromosomes 5, 10, 11, 13–15, 21, 24 and 25 were identified. These comprised 59 genes, of which 15 had one or more differentiated missense mutation. Our analysis showed that most sweeps have paralogous regions in the partially tetraploid genome, each lacking the high number of significant SNPs found in the sweeps. The most significant sweep was found on Chr 25 and carried several missense mutations in the antiviral mx genes, suggesting that these populations have experienced differing viral pressures. Interestingly the second most significant sweep, found on Chr 5, contains two genes involved in the NF-KB pathway (nkap and nkrf), which is also a known pathogen target that controls a large number of processes in animals. CONCLUSION: Our results show that natural selection acting on immune related genes has contributed to genetic divergence between salmon populations in Norway. The differences between populations may have been facilitated by the plasticity of the salmon genome. The observed signatures of selection in duplicated genomic regions suggest that the recently duplicated genome has provided raw material for evolutionary adaptation. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-016-2867-z) contains supplementary material, which is available to authorized users. BioMed Central 2016-08-11 /pmc/articles/PMC4982270/ /pubmed/27515098 http://dx.doi.org/10.1186/s12864-016-2867-z Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Kjærner-Semb, Erik Ayllon, Fernando Furmanek, Tomasz Wennevik, Vidar Dahle, Geir Niemelä, Eero Ozerov, Mikhail Vähä, Juha-Pekka Glover, Kevin A. Rubin, Carl J. Wargelius, Anna Edvardsen, Rolf B. Atlantic salmon populations reveal adaptive divergence of immune related genes - a duplicated genome under selection |
title | Atlantic salmon populations reveal adaptive divergence of immune related genes - a duplicated genome under selection |
title_full | Atlantic salmon populations reveal adaptive divergence of immune related genes - a duplicated genome under selection |
title_fullStr | Atlantic salmon populations reveal adaptive divergence of immune related genes - a duplicated genome under selection |
title_full_unstemmed | Atlantic salmon populations reveal adaptive divergence of immune related genes - a duplicated genome under selection |
title_short | Atlantic salmon populations reveal adaptive divergence of immune related genes - a duplicated genome under selection |
title_sort | atlantic salmon populations reveal adaptive divergence of immune related genes - a duplicated genome under selection |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4982270/ https://www.ncbi.nlm.nih.gov/pubmed/27515098 http://dx.doi.org/10.1186/s12864-016-2867-z |
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