Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/194914
Title: Genomic basis for early-life mortality in sharpsnout seabream
Author: Torrado, Héctor
Pegueroles Queralt, Cinta
Raventos, Núria
Carreras Huergo, Carlos
Macpherson, Enrique
Pascual Berniola, Marta
Keywords: Genòmica
Peixos marins
Seitons
Genomics
Marine fishes
Engraulis encrasicolus
Issue Date: 14-Oct-2022
Publisher: Nature Publishing Group
Abstract: Mortality at early life stages of fishes is common in nature and can be shaped by stochastic and selective processes. Selective mortality has rarely been assessed in natural conditions but can now be studied by combining genomic data with information on different life stages that realates to fitness. Here we investigate selective mortality between settlers and six‑month survivors of the sharpsnout seabream by genotype‑phenotype/environmental association studies in three localities along a geographic gradient. We gathered information on 105 individuals at 85,031 SNPs, obtained from individual based 2b‑RAD libraries, as well as 9 phenotypic and environmental variables derived from individual otolith readings. We found common signals across localities for potential selection, such as lower survival rates for individuals hatching earlier, growing faster and experiencing higher temperatures during their planktonic phase. We identified 122 loci with parallel significant association to phenotypic and environmental variables. Importantly, one of these loci mapped to the exonic region of the il20rb, a gene involved in immune response, in the hylogenetically closest reference genome, showing parallel frequency changes in non‑synonymous mutations in the three studied populations. Further temporal assessments are needed to understand how polymorphisms that are key to selective mortality are maintained.
Note: Reproducció del document publicat a: https://doi.org/10.1038/s41598-022-21597-3
It is part of: Scientific Reports, 2022, vol. 12, num. 17265
URI: http://hdl.handle.net/2445/194914
Related resource: https://doi.org/10.1038/s41598-022-21597-3
ISSN: 2045-2322
Appears in Collections:Articles publicats en revistes (Genètica, Microbiologia i Estadística)

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