Genomic signatures of local adaptation to the degree of environmental predictability in rotifers

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作者
Lluis Franch-Gras
Christoph Hahn
Eduardo M. García-Roger
María José Carmona
Manuel Serra
Africa Gómez
机构
[1] Universitat de València,Institut Cavanilles de Biodiversitat i Biologia Evolutiva
[2] University of Hull,School of Environmental Sciences
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关键词
Environmental Predictability; Single Nucleotide Polymorphisms (SNPs); Local Adaptation Patterns; Natural Rotifer Populations; Balancing Selection;
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摘要
Environmental fluctuations are ubiquitous and thus essential for the study of adaptation. Despite this, genome evolution in response to environmental fluctuations —and more specifically to the degree of environmental predictability– is still unknown. Saline lakes in the Mediterranean region are remarkably diverse in their ecological conditions, which can lead to divergent local adaptation patterns in the inhabiting aquatic organisms. The facultatively sexual rotifer Brachionus plicatilis shows diverging local adaptation in its life-history traits in relation to estimated environmental predictability in its habitats. Here, we used an integrative approach —combining environmental, phenotypic and genomic data for the same populations– to understand the genomic basis of this diverging adaptation. Firstly, a novel draft genome for B. plicatilis was assembled. Then, genome-wide polymorphisms were studied using genotyping by sequencing on 270 clones from nine populations in eastern Spain. As a result, 4,543 high-quality SNPs were identified and genotyped. More than 90 SNPs were found to be putatively under selection with signatures of diversifying and balancing selection. Over 140 SNPs were correlated with environmental or phenotypic variables revealing signatures of local adaptation, including environmental predictability. Putative functions were associated to most of these SNPs, since they were located within annotated genes. Our results reveal associations between genomic variation and the degree of environmental predictability, providing genomic evidence of adaptation to local conditions in natural rotifer populations.
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