A genome scan for candidate genes involved in the adaptation of turbot (Scophthalmus maximus)

Vilas, R.; Vandamme, S.G.; Vera, M.; Souza, C.; Maes, G.E.; Volckaert, F.A.M.; Martinez, P.

doi:/10.1016/j.margen.2015.04.011

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A genome scan for candidate genes involved in the adaptation of turbot (Scophthalmus maximus)

Vilas, R.; Vandamme, S.G.; Vera, M.; Souza, C.; Maes, G.E.; Volckaert, F.A.M.; Martinez, P. (2015). A genome scan for candidate genes involved in the adaptation of turbot (Scophthalmus maximus). Marine Genomics 23: 77-86. https://dx.doi.org/10.1016/j.margen.2015.04.011

In: Marine Genomics. Elsevier: Amsterdam. ISSN 1874-7787; e-ISSN 1876-7478

Available in	Authors
VLIZ: Non-open access 318590 [ request ]

Keywords

Pisces [WoRMS]
Marine/Coastal

Author keywords

Adaptation; Atlantic Ocean; Fish; Population genomics

Authors		Top
Vilas, R. Vandamme, S.G. Vera, M. Souza, C.	Maes, G.E. Volckaert, F.A.M., more Martinez, P.

Abstract

Partitioning phenotypic variance in genotypic and environmental variance may benefit from the population genomic assignment of genes putatively involved in adaptation. We analyzed a total of 256 markers (120 microsatellites and 136 Single Nucleotide Polymorphisms — SNPs), several of them associated to Quantitative Trait Loci (QTL) for growth and resistance to pathologies, with the aim to identify potential adaptive variation in turbot Scophthalmus maximus L. The study area in the Northeastern Atlantic Ocean, from Iberian Peninsula to the Baltic Sea, involves a gradual change in temperature and an abrupt change in salinity conditions. We detected 27 candidate loci putatively under selection. At least four of the five SNPs identified as outliers are located within genes coding for ribosomal proteins or directly related with the production of cellular proteins. One of the detected outliers, previously identified as part of a QTL for growth, is a microsatellite linked to a gene coding for a growth factor receptor. A similar set of outliers was detected when natural populations were compared with a sample subjected to strong artificial selection for growth along four generations. The observed association between F_ST outliers and growth-related QTL supports the hypothesis of changes in growth as an adaptation to differences in temperature and salinity conditions. However, further work is needed to confirm this hypothesis.

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