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dc.contributor.authorMontes, Iratxe
dc.contributor.authorZarraonaindia, Iratxe
dc.contributor.authorIriondo, Mikel
dc.contributor.authorGrant, W. Stewart
dc.contributor.authorManzano, Carmen
dc.contributor.authorCotano, Unai
dc.contributor.authorConklin, Darrell
dc.contributor.authorIrigoien, Xabier
dc.contributor.authorEstonba, Andone
dc.date.accessioned2017-01-02T08:42:41Z
dc.date.available2017-01-02T08:42:41Z
dc.date.issued2016-09-13
dc.identifier.citationMontes I, Zarraonaindia I, Iriondo M, Grant WS, Manzano C, et al. (2016) Transcriptome analysis deciphers evolutionary mechanisms underlying genetic differentiation between coastal and offshore anchovy populations in the Bay of Biscay. Marine Biology 163. Available: http://dx.doi.org/10.1007/s00227-016-2979-7.
dc.identifier.issn0025-3162
dc.identifier.issn1432-1793
dc.identifier.doi10.1007/s00227-016-2979-7
dc.identifier.urihttp://hdl.handle.net/10754/622265
dc.description.abstractMorphometry and otolith microchemistry point to the existence of two populations of the European anchovy (Engraulis encrasicolus) in the Bay of Biscay: one in open seawaters, and a yet unidentified population in coastal waters. To test this hypothesis, we assembled a large number of samples from the region, including 587 juveniles and spawning adults from offshore and coastal waters, and 264 fish from other locations covering most of the species’ European range. These samples were genotyped for 456 exonic SNPs that provide a robust way to decipher adaptive processes in these populations. Two genetically differentiated populations of anchovy inhabit the Bay of Biscay with different population dynamics: (1) a large offshore population associated with marine waters included in the wide-shelf group, and (2) a coastal metapopulation adapted to estuarine environments in the Bay of Biscay and North Sea included in the narrow-shelf group. Transcriptome analysis identified neutral and adaptive evolutionary processes underlying differentiation between these populations. Reduced gene flow between offshore and coastal populations in the Bay of Biscay appears to result from divergence between two previously isolated gene pools adapted to contrasting habitats and now in secondary contact. Eleven molecular markers appear to mark divergent selection between the ecotypes, and a majority of these markers are associated with salinity variability. Ecotype differences at two outlier genes, TSSK6 and basigin, may hinder gamete compatibility between the ecotypes and reinforce reproductive isolation. Additionally, possible convergent evolution between offshore and coastal populations in the Bay of Biscay has been detected for the syntaxin1B-otoferlin gene system, which is involved in the control of larval buoyancy. Further study of exonic markers opens the possibility of understanding the mechanisms of adaptive divergence between European anchovy populations. © 2016, Springer-Verlag Berlin Heidelberg.
dc.description.sponsorshipThis study was funded by the Ministry of Science and Research of the Government of Spain through ECOGENBAY (MICINN CTM2009-13570-C02-02) and by a Research Grant (3571/2008) from the University of the Basque Country (UPV/EHU). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
dc.publisherSpringer Nature
dc.relation.urlhttp://link.springer.com/article/10.1007/s00227-016-2979-7
dc.titleTranscriptome analysis deciphers evolutionary mechanisms underlying genetic differentiation between coastal and offshore anchovy populations in the Bay of Biscay
dc.typeArticle
dc.contributor.departmentBiological and Environmental Sciences and Engineering (BESE) Division
dc.contributor.departmentMarine Science Program
dc.contributor.departmentRed Sea Research Center (RSRC)
dc.identifier.journalMarine Biology
dc.contributor.institutionDepartment of Genetics, Physical Anthropology and Animal Physiology, University of the Basque Country (UPV/EHU), Leioa, Spain
dc.contributor.institutionCommercial Fisheries Division, Alaska Department of Fish and Game, Anchorage, AK, United States
dc.contributor.institutionMarine Research Division, AZTI-Tecnalia, Pasaia, Spain
dc.contributor.institutionDepartment of Computer Science and Artificial Intelligence, University of the Basque Country UPV/EHU, San Sebastián, Spain
dc.contributor.institutionIKERBASQUE, Basque Foundation for Science, Bilbao, Spain
kaust.personIrigoien, Xabier
dc.date.published-online2016-09-13
dc.date.published-print2016-10


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