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pmid: 36596297
handle: 10261/305960 , 11584/352878 , 11585/912371
AbstractBy evaluating genetic variation across the entire genome, one can address existing questions in a novel way while raising new ones. The latter includes how different local environments influence adaptive and neutral genomic variation within and among populations, providing insights into local adaptation of natural populations and their responses to global change. Here, under a seascape genomic approach, ddRAD data of 4609 single nucleotide polymorphisms (SNPs) from 398 sardines (Sardina pilchardus) collected in 11 Mediterranean and one Atlantic site were generated. These were used along with oceanographic and ecological information to detect signals of adaptive divergence with gene flow across environmental gradients. The studied sardines constitute two clusters (FST = 0.07), a pattern attributed to outlier loci, highlighting putative local adaptation. The trend in the number of days with sea surface temperature above 19°C, a critical threshold for successful sardine spawning, was crucial at all levels of population structuring with implications on the species' key biological processes. Outliers link candidate SNPs to the region's environmental heterogeneity. Our findings provide evidence for a dynamic equilibrium in which population structure is maintained by physical and ecological factors under the opposing influences of migration and selection. This dynamic in a natural system warrants continuous monitoring under a seascape genomic approach that might benefit from a temporal and more detailed spatial dimension. Our results may contribute to complementary studies aimed at providing deeper insights into the mechanistic processes underlying population structuring. Those are key to understanding and predicting future changes and responses of this highly exploited species in the face of climate change.
570, Take urgent action to combat climate change and its impacts, population genomics, [SDV.GEN.GA] Life Sciences [q-bio]/Genetics/Animal genetics, Polymorphism, Single Nucleotide, ddRAD, Mediterranean Sea, Climate change, Outliers, Conserve and sustainably use the oceans, seas and marine resources for sustainable development, Climate change; ddRAD; Outliers; Population genomics; SNPs, Genome, outliers, Genomics, Adaptation, Physiological, climate change, [SDV.EE.BIO] Life Sciences [q-bio]/Ecology, environment/Bioclimatology, Genetics, Population, [SDV.GEN.GPO] Life Sciences [q-bio]/Genetics/Populations and Evolution [q-bio.PE], http://metadata.un.org/sdg/14, Population genomics, SNPs; climate change; ddRAD; outliers; population genomics, SNPs
570, Take urgent action to combat climate change and its impacts, population genomics, [SDV.GEN.GA] Life Sciences [q-bio]/Genetics/Animal genetics, Polymorphism, Single Nucleotide, ddRAD, Mediterranean Sea, Climate change, Outliers, Conserve and sustainably use the oceans, seas and marine resources for sustainable development, Climate change; ddRAD; Outliers; Population genomics; SNPs, Genome, outliers, Genomics, Adaptation, Physiological, climate change, [SDV.EE.BIO] Life Sciences [q-bio]/Ecology, environment/Bioclimatology, Genetics, Population, [SDV.GEN.GPO] Life Sciences [q-bio]/Genetics/Populations and Evolution [q-bio.PE], http://metadata.un.org/sdg/14, Population genomics, SNPs; climate change; ddRAD; outliers; population genomics, SNPs
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 23 | |
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| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
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