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Seascape genomics of eastern oyster (Crassostrea virginica) along the Atlantic coast of Canada

机译:加拿大大西洋沿岸东部牡蛎(Crassostrea virginica)的海景基因组学

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摘要

Interactions between environmental factors and complex life‐history characteristics of marine organisms produce the genetic diversity and structure observed within species. Our main goal was to test for genetic differentiation among eastern oyster populations from the coastal region of Canadian Maritimes against expected genetic homogeneity caused by historical events, taking into account spatial and environmental (temperature, salinity, turbidity) variation. This was achieved by genotyping 486 individuals originating from 13 locations using RADSeq. A total of 11,321 filtered SNPs were used in a combination of population genomics and environmental association analyses. We revealed significant neutral genetic differentiation (mean F ST = 0.009) between sampling locations, and the occurrence of six major genetic clusters within the studied system. Redundancy analyses (RDAs) revealed that spatial and environmental variables explained 3.1% and 4.9% of the neutral genetic variation and 38.6% and 12.2% of the putatively adaptive genetic variation, respectively. These results indicate that these environmental factors play a role in the distribution of both neutral and putatively adaptive genetic diversity in the system. Moreover, polygenic selection was suggested by genotype–environment association analysis and significant correlations between additive polygenic scores and temperature and salinity. We discuss our results in the context of their conservation and management implications for the eastern oyster.
机译:环境因素与海洋生物复杂的生活史特征之间的相互作用产生了物种内部观察到的遗传多样性和结构。我们的主要目标是在考虑到空间和环境(温度,盐度,浊度)变化的情况下,针对历史事件导致的预期遗传同质性,测试加拿大海事沿海地区东部牡蛎种群之间的遗传分化。这是通过使用RADSeq对来自13个地点的486位个体进行基因分型来实现的。结合人口基因组学和环境关联分析,总共使用了11,321个过滤的SNP。我们揭示了采样位置之间存在显着的中性遗传分化(平均F ST = 0.009),并且在研究的系统内出现了六个主要的遗传簇。冗余分析(RDA)显示,空间和环境变量分别解释了中性遗传变异的3.1%和4.9%,以及假定的适应性遗传变异的38.6%和12.2%。这些结果表明这些环境因素在系统中中性和假定适应性遗传多样性的分布中都起作用。此外,通过基因型-环境关联分析以及加性多基因得分与温度和盐度之间的显着相关性,提出了多基因选择。我们在保护和管理东部牡蛎的意义上讨论了我们的结果。

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