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Population genomics of an endemic Mediterranean fish: Differentiation by fine scale dispersal and adaptation

Articolo
Data di Pubblicazione:
2017
Abstract:
The assessment of the genetic structuring of biodiversity is crucial for management and conservation. For species with large effective population sizes a low number of markers may fail to identify population structure. A solution of this shortcoming can be high-throughput sequencing that allows genotyping thousands of markers on a genome-wide approach while facilitating the detection of genetic structuring shaped by selection. We used Genotyping-by-Sequencing (GBS) on 176 individuals of the endemic East Atlantic peacock wrasse (Symphodus tinca), from 6 locations in the Adriatic and Ionian seas. We obtained a total of 4,155 polymorphic SNPs and we observed two strong barriers to gene flow. The first one differentiated Tremiti Islands, in the northwest, from all the other locations while the second one separated east and south-west localities. Outlier SNPs potentially under positive selection and neutral SNPs both showed similar patterns of structuring, although finer scale differentiation was unveiled with outlier loci. Our results reflect the complexity of population genetic structure and demonstrate that both habitat fragmentation and positive selection are on play. This complexity should be considered in biodiversity assessments of different taxa, including non-model yet ecologically relevant organisms.
Tipologia CRIS:
01.01 - Articolo in rivista
Keywords:
Multidisciplinary
Elenco autori:
Carreras, Carlos; Ordóñez, Víctor; Zane, Lorenzo; Kruschel, Claudia; Nasto, Ina; Macpherson, Enrique; Pascual, Marta
Autori di Ateneo:
ZANE LORENZO
Link alla scheda completa:
https://www.research.unipd.it/handle/11577/3224687
Link al Full Text:
https://www.research.unipd.it//retrieve/handle/11577/3224687/482102/Population-genomics-of-an-endemic-Mediterranean-fish-Differentiation-by-fine-scale-dispersal-and-adaptation2017Scientific-ReportsOpen-Access.pdf
Pubblicato in:
SCIENTIFIC REPORTS
Journal
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URL

www.nature.com/srep/index.html
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