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Combining six genome scan methods to detect candidate genes to salinity in the Mediterranean striped red mullet (Mullus surmuletus) ArchiMer
Dalongeville, Alicia; Benestan, Laura; Mouillot, David; Lobreaux, Stephane; Manel, Stephanie.
Background: Adaptive genomics may help predicting how a species will respond to future environmental changes. Genomic signatures of local adaptation in marine organisms are often driven by environmental selective agents impacting the physiology of organisms. With one of the highest salinity level, the Mediterranean Sea provides an excellent model to investigate adaptive genomic divergence underlying salinity adaptation. In the present study, we combined six genome scan methods to detect potential genomic signal of selection in the striped red mullet (Mullus surmuletus) populations distributed across a wide salinity gradient. We then blasted these outlier sequences on published fish genomic resources in order to identify relevant potential candidate genes...
Tipo: Text Palavras-chave: Adaptive genomics; Genome scan; Candidate genes; Mediterranean Sea; Mullus surmuletus; Salinity.
Ano: 2018 URL: https://archimer.ifremer.fr/doc/00438/54992/75081.pdf
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