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Title: Individual-based population genomics reveal different drivers of adaptation in sympatric fish
Author: Torrado, Héctor
Carreras Huergo, Carlos
Raventos, Núria
Macpherson, Enrique
Pascual Berniola, Marta
Keywords: Especiació (Química)
Peixos marins
Speciation (Chemistry)
Marine fishes
Issue Date: 29-Jul-2020
Publisher: Nature Publishing Group
Abstract: Connectivity and local adaptation are two contrasting evolutionary forces highly influencing population structure. To evaluate the impact of early-life traits and environmental conditions on genetic structuring and adaptation, we studied two sympatric fish species in the Western Mediterranean Sea: Symphodus tinca and S. ocellatus. We followed an individual-based approach and measured early-life history traits from otolith readings, gathered information on environmental variables and obtained genome-wide markers from genotyping-by-sequencing (GBS). The two species presented contrasting population structure across the same geographic gradient, with high and significant population differentiation in S. ocellatus, mostly determined by oceanographic fronts, and low differentiation and no front effect in S. tinca. Despite their different levels of genetic differentiation, we identified in both species candidate regions for local adaptation by combining outlier analysis with environmental and phenotypic association analyses. Most candidate loci were associated to temperature and productivity in S. ocellatus and to temperature and turbulence in S. tinca suggesting that different drivers may determine genomic diversity and differentiation in each species. Globally, our study highlights that individual-based approach combining genomic, environmental and phenotypic information is key to identify signals of selection and the processes mediating them.
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It is part of: Scientific Reports, 2020, vol. 10, p. 12683
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ISSN: 2045-2322
Appears in Collections:Articles publicats en revistes (Genètica, Microbiologia i Estadística)
Articles publicats en revistes (Institut de Recerca de la Biodiversitat (IRBio))

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