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Geographic isolation and larval dispersal shape seascape genetic patterns differently according to spatial scale ArchiMer
Dalongeville, Alicia; Andrello, Marco; Mouillot, David; Lobreaux, Stephane; Fortin, Marie-josee; Lasram, Frida; Belmaker, Jonathan; Rocklin, Delphine; Manel, Stephanie.
Genetic variation, as a basis of evolutionary change, allows species to adapt and persist in different climates and environments. Yet, a comprehensive assessment of the drivers of genetic variation at different spatial scales is still missing in marine ecosystems. Here, we investigated the influence of environment, geographic isolation, and larval dispersal on the variation in allele frequencies, using an extensive spatial sampling (47 locations) of the striped red mullet (Mullus surmuletus) in the Mediterranean Sea. Univariate multiple regressions were used to test the influence of environment (salinity and temperature), geographic isolation, and larval dispersal on single nucleotide polymorphism (SNP) allele frequencies. We used Moran's eigenvector maps...
Tipo: Text Palavras-chave: Connectivity; Ecological genetics; Marine fish; Mediterranean Sea; Mullus surmuletus; Seascape genetics; Single nucleotide polymorphism.
Ano: 2018 URL: https://archimer.ifremer.fr/doc/00454/56556/75079.pdf
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Spatial graphs highlight how multi‐generational dispersal shapes landscape genetic patterns ArchiMer
Boulanger, Emilie; Dalongeville, Alicia; Andrello, Marco; Mouillot, David; Manel, Stéphanie.
Current approaches that compare spatial genetic structure of a given species and the dispersal of its mobile phase can detect a mismatch between both patterns mainly due to processes acting at different temporal scales. Genetic structure result from gene flow and other evolutionary and demographic processes over many generations, while dispersal predicted from the mobile phase often represents solely one generation on a single time‐step. In this study, we present a spatial graph approach to landscape genetics that extends connectivity networks with a stepping‐stone model to represent dispersal between suitable habitat patches over multiple generations. We illustrate the approach with the case of the striped red mullet Mullus surmuletus in the Mediterranean...
Tipo: Text Palavras-chave: Genetic connectivity; Mediterranean Sea; Mullus surmuletus; Seascape genetics; Spatial graphs; Stepping-stone dispersal.
Ano: 2020 URL: https://archimer.ifremer.fr/doc/00630/74166/73779.pdf
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Biologically representative and well-connected marine reserves enhance biodiversity persistence in conservation planning ArchiMer
Magris, Rafael A.; Andrello, Marco; Pressey, Robert L.; Mouillot, David; Dalongeville, Alicia; Jacobi, Martin N.; Manel, Stephanie.
Current methods in conservation planning for promoting the persistence of biodiversity typically focus on either representing species geographic distributions or maintaining connectivity between reserves, but rarely both, and take a focal species, rather than a multispecies, approach. Here, we link prioritization methods with population models to explore the impact of integrating both representation and connectivity into conservation planning for species persistence. Using data on 288 Mediterranean fish species with varying conservation requirements, we show that: (1) considering both representation and connectivity objectives provides the best strategy for enhanced biodiversity persistence and (2) connectivity objectives were fundamental to enhancing...
Tipo: Text Palavras-chave: Biodiversity conservation; Larval dispersal; Marine protected areas; Marine reserve design; Spatial planning; Spatial prioritization.
Ano: 2018 URL: https://archimer.ifremer.fr/doc/00454/56593/74958.pdf
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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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