Bernatchez Simon, Xuereb Amanda, Laporte Martin, Benestan Laura, Steeves Royce, Laflamme Mark, Bernatchez Louis, Mallet Martin A
Institut de Biologie Intégrative et des Systèmes (IBIS) Université Laval Québec Québec Canada.
Department of Ecology and Evolutionary Biology University of Toronto Toronto Ontario Canada.
Evol Appl. 2018 Dec 26;12(3):587-609. doi: 10.1111/eva.12741. eCollection 2019 Mar.
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 = 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.
环境因素与海洋生物复杂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,在考虑空间和环境(温度、盐度、浊度)变化的情况下,检验加拿大海洋省份沿海地区东部牡蛎种群之间的遗传分化,以对抗由历史事件导致的预期遗传同质性。这是通过使用RADSeq对来自13个地点的486个个体进行基因分型来实现的。总共11321个经过筛选的单核苷酸多态性(SNP)被用于群体基因组学和环境关联分析的组合中。我们揭示了采样地点之间显著的中性遗传分化(平均 = 0.009),以及研究系统内六个主要遗传簇的出现。冗余分析(RDA)表明,空间和环境变量分别解释了3.1%和4.9%的中性遗传变异,以及38.6%和12.2%的假定适应性遗传变异。这些结果表明,这些环境因素在该系统中中性和假定适应性遗传多样性的分布中发挥了作用。此外,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著相关性表明存在多基因选择。我们在东部牡蛎的保护和管理意义的背景下讨论了我们的结果。