Population Genomics in Rhamdia quelen (Heptapteridae, Siluriformes) Reveals Deep Divergence and Adaptation in the Neotropical Region

dc.contributor.affiliationUniversidade de Santiago de Compostela. Departamento de Zooloxía, Xenética e Antropoloxía Físicagl
dc.contributor.affiliationUniversidade de Santiago de Compostela. Instituto de Acuiculturagl
dc.contributor.authorRíos, Néstor
dc.contributor.authorCasanova Chiclana, Adrián
dc.contributor.authorHermida Prieto, Miguel
dc.contributor.authorGómez Pardo, María Belén
dc.contributor.authorMartínez Portela, Paulino
dc.contributor.authorBouza Fernández, María Carmen
dc.contributor.authorGarcía, Graciela
dc.date.accessioned2020-04-27T11:02:12Z
dc.date.available2020-04-27T11:02:12Z
dc.date.issued2020
dc.description.abstractRhamdia quelen, a Neotropical fish with hybridization between highly divergent mitochondrial DNA (mtDNA) lineages, represents an interesting evolutionary model. Previous studies suggested that there might be demographic differences between coastal lagoons and riverine environments, as well as divergent populations that could be reproductively isolated. Here, we investigated the genetic diversity pattern of this taxon in the Southern Neotropical Basin system that includes the La Plata Basin, Patos-Merin lagoon basin and the coastal lagoons draining to the SW Atlantic Ocean, through a population genomics approach using 2b-RAD-sequencing-derived single nucleotide polymorphisms (SNPs). The genomic scan identified selection footprints associated with divergence and suggested local adaptation environmental drivers. Two major genomic clusters latitudinally distributed in the Northern and Southern basins were identified, along with consistent signatures of divergent selection between them. Population structure based on the whole set of loci and on the presumptive neutral vs. adaptive loci showed deep genomic divergence between the two major clusters. Annotation of the most consistent SNPs under divergent selection revealed some interesting candidate genes for further functional studies. Moreover, signals of adaptation to a coastal lagoon environment mediated by purifying selection were found. These new insights provide a better understanding of the complex evolutionary history of R. quelen in the southernmost basin of the Neotropical regiongl
dc.description.peerreviewedSIgl
dc.description.sponsorshipThis research was funded by Agencia Nacional de Investigación e Innovación grant number FMV_2014_104718. We would like to thank Fondo María Viñas—Agencia Nacional de Investigación e Innovación (FMV_2014_104718) for financial support. The research of Néstor Ríos and Graciela García was also supported by Sistema Nacional de Investigadores—Agencia Nacional de Investigación e Innovación (SNI-ANII)gl
dc.identifier.citationRíos, N.; Casanova, A.; Hermida, M.; Pardo, B.G.; Martínez, P.; Bouza, C.; García, G. Population Genomics in Rhamdia quelen (Heptapteridae, Siluriformes) Reveals Deep Divergence and Adaptation in the Neotropical Region. Genes 2020, 11, 109.gl
dc.identifier.doi10.3390/genes11010109
dc.identifier.essn2073-4425
dc.identifier.urihttp://hdl.handle.net/10347/21785
dc.language.isoenggl
dc.publisherMDPIgl
dc.relation.publisherversionhttps://doi.org/10.3390/genes11010109gl
dc.rights© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/)gl
dc.rights.accessRightsopen accessgl
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectGenomic Divergencegl
dc.subjectEnvironmental Adaptationgl
dc.subjectRhamdia Quelengl
dc.subjectRad-Seqgl
dc.titlePopulation Genomics in Rhamdia quelen (Heptapteridae, Siluriformes) Reveals Deep Divergence and Adaptation in the Neotropical Regiongl
dc.typejournal articlegl
dc.type.hasVersionVoRgl
dspace.entity.typePublication
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relation.isAuthorOfPublicationa96ca75b-8b58-4060-b0d8-bc9e94976d64
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relation.isAuthorOfPublication.latestForDiscovery0232b6e9-b450-4277-afcb-eb7ff9a24451

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