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Three chromosomal rearrangements promote genomic divergence between migratory and stationary ecotypes of Atlantic cod

Identification of genome-wide patterns of divergence provides insight on how genomes are influenced by selection and can reveal the potential for local adaptation in spatially structured populations. In Atlantic cod – historically a major marine resource – Northeast-Arctic- and Norwegian coastal cod...

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Autores principales: Berg, Paul R., Star, Bastiaan, Pampoulie, Christophe, Sodeland, Marte, Barth, Julia M. I., Knutsen, Halvor, Jakobsen, Kjetill S., Jentoft, Sissel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4794648/
https://www.ncbi.nlm.nih.gov/pubmed/26983361
http://dx.doi.org/10.1038/srep23246
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author Berg, Paul R.
Star, Bastiaan
Pampoulie, Christophe
Sodeland, Marte
Barth, Julia M. I.
Knutsen, Halvor
Jakobsen, Kjetill S.
Jentoft, Sissel
author_facet Berg, Paul R.
Star, Bastiaan
Pampoulie, Christophe
Sodeland, Marte
Barth, Julia M. I.
Knutsen, Halvor
Jakobsen, Kjetill S.
Jentoft, Sissel
author_sort Berg, Paul R.
collection PubMed
description Identification of genome-wide patterns of divergence provides insight on how genomes are influenced by selection and can reveal the potential for local adaptation in spatially structured populations. In Atlantic cod – historically a major marine resource – Northeast-Arctic- and Norwegian coastal cod are recognized by fundamental differences in migratory and non-migratory behavior, respectively. However, the genomic architecture underlying such behavioral ecotypes is unclear. Here, we have analyzed more than 8.000 polymorphic SNPs distributed throughout all 23 linkage groups and show that loci putatively under selection are localized within three distinct genomic regions, each of several megabases long, covering approximately 4% of the Atlantic cod genome. These regions likely represent genomic inversions. The frequency of these distinct regions differ markedly between the ecotypes, spawning in the vicinity of each other, which contrasts with the low level of divergence in the rest of the genome. The observed patterns strongly suggest that these chromosomal rearrangements are instrumental in local adaptation and separation of Atlantic cod populations, leaving footprints of large genomic regions under selection. Our findings demonstrate the power of using genomic information in further understanding the population dynamics and defining management units in one of the world’s most economically important marine resources.
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spelling pubmed-47946482016-03-17 Three chromosomal rearrangements promote genomic divergence between migratory and stationary ecotypes of Atlantic cod Berg, Paul R. Star, Bastiaan Pampoulie, Christophe Sodeland, Marte Barth, Julia M. I. Knutsen, Halvor Jakobsen, Kjetill S. Jentoft, Sissel Sci Rep Article Identification of genome-wide patterns of divergence provides insight on how genomes are influenced by selection and can reveal the potential for local adaptation in spatially structured populations. In Atlantic cod – historically a major marine resource – Northeast-Arctic- and Norwegian coastal cod are recognized by fundamental differences in migratory and non-migratory behavior, respectively. However, the genomic architecture underlying such behavioral ecotypes is unclear. Here, we have analyzed more than 8.000 polymorphic SNPs distributed throughout all 23 linkage groups and show that loci putatively under selection are localized within three distinct genomic regions, each of several megabases long, covering approximately 4% of the Atlantic cod genome. These regions likely represent genomic inversions. The frequency of these distinct regions differ markedly between the ecotypes, spawning in the vicinity of each other, which contrasts with the low level of divergence in the rest of the genome. The observed patterns strongly suggest that these chromosomal rearrangements are instrumental in local adaptation and separation of Atlantic cod populations, leaving footprints of large genomic regions under selection. Our findings demonstrate the power of using genomic information in further understanding the population dynamics and defining management units in one of the world’s most economically important marine resources. Nature Publishing Group 2016-03-17 /pmc/articles/PMC4794648/ /pubmed/26983361 http://dx.doi.org/10.1038/srep23246 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Berg, Paul R.
Star, Bastiaan
Pampoulie, Christophe
Sodeland, Marte
Barth, Julia M. I.
Knutsen, Halvor
Jakobsen, Kjetill S.
Jentoft, Sissel
Three chromosomal rearrangements promote genomic divergence between migratory and stationary ecotypes of Atlantic cod
title Three chromosomal rearrangements promote genomic divergence between migratory and stationary ecotypes of Atlantic cod
title_full Three chromosomal rearrangements promote genomic divergence between migratory and stationary ecotypes of Atlantic cod
title_fullStr Three chromosomal rearrangements promote genomic divergence between migratory and stationary ecotypes of Atlantic cod
title_full_unstemmed Three chromosomal rearrangements promote genomic divergence between migratory and stationary ecotypes of Atlantic cod
title_short Three chromosomal rearrangements promote genomic divergence between migratory and stationary ecotypes of Atlantic cod
title_sort three chromosomal rearrangements promote genomic divergence between migratory and stationary ecotypes of atlantic cod
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4794648/
https://www.ncbi.nlm.nih.gov/pubmed/26983361
http://dx.doi.org/10.1038/srep23246
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