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

• Published in: Scientific Reports
• Main Authors: Berg, Paul Ragnar, Star, Bastiaan, Pampoulie, Christophe, Sodeland, Marte, Barth, Julia Maria Isis, Knutsen, Halvor, Jakobsen, Kjetill Sigurd, Jentoft, Sissel
• Format: Article in Journal/Newspaper
• Language: English
• Published: Nature Publishing Group 2016
• Subjects: VDP::Matematikk og naturvitenskap: 400::Basale biofag: 470::Genetikk og genomikk: 474; VDP::Mathematics and natural scienses: 400::Basic biosciences: 470::Genetics and genomics: 474; Arctic; atlantic cod
• Online Access: http://hdl.handle.net/11250/2398319; https://doi.org/10.1038/srep23246

- 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.