Seascape genomics provides evidence for thermal adaptation and current-mediated population structure in American lobster (Homarus americanus)
Seascape genomics provides evidence for thermal adaptation and current-mediated population structure in American lobster (Homarus americanus)
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DOI：
10.1111/mec.13811
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发表时间：
2016-10-01
影响因子：
4.9
通讯作者：
Bernatchez, Louis
中科院分区：
文献类型：
--
作者：
Benestan, Laura;Quinn, Brady K.;Bernatchez, Louis
调查环境特征如何塑造种群的遗传结构，对于了解它们如何适应其栖息地以及合理管理至关重要。在这项研究中，我们评估了相对重要性的空间分布，洋流和海表面温度（SST）的模式puperium中性和适应性遗传变异之间的美国龙虾从19个地点使用人口分化（PD）的方法结合环境协会（EA）分析。首先，PD方法（使用BAYESCAN，ARLEQUIN和OUTFLANK）发现了28个在趋异选择下出现的离群SNP和9770个共同的中性SNP。Redundancy分析表明，空间分布，洋流介导的幼虫连接和SST解释了31.7%的中性遗传分化，洋流驱动了这种关系的大部分（21.0%）。去除空间分布的影响后，SST对蛹中性遗传变异的影响不显著，而年最小SST仍有显著影响，可解释蛹适应性遗传变异的8.1%。其次，EA分析（使用皮尔逊相关性检验，BAYESCENV和LFMM）共同确定了7个SNP作为热适应的候选者。在考虑了空间分布的影响后，用空间多变量分析评估了这些SNP的协变，该分析突出了显着的温度相关性。在505个候选SNPs检测的三种方法中的至少一种，我们发现了三个多态性位于基因先前显示发挥作用的热适应。我们的研究结果对美国龙虾的管理具有影响，并为预测该物种将如何科普气候变化提供了基础。
Investigating how environmental features shape the genetic structure of populations is crucial for understanding how they are potentially adapted to their habitats, as well as for sound management. In this study, we assessed the relative importance of spatial distribution, ocean currents and sea surface temperature (SST) on patterns of putatively neutral and adaptive genetic variation among American lobster from 19 locations using population differentiation (PD) approaches combined with environmental association (EA) analyses. First, PD approaches (using BAYESCAN, ARLEQUIN and OUTFLANK) found 28 outlier SNPs putatively under divergent selection and 9770 neutral SNPs in common. Redundancy analysis revealed that spatial distribution, ocean current-mediated larval connectivity and SST explained 31.7% of the neutral genetic differentiation, with ocean currents driving the majority of this relationship (21.0%). After removing the influence of spatial distribution, no SST were significant for putatively neutral genetic variation whereas minimum annual SST still had a significant impact and explained 8.1% of the putatively adaptive genetic variation. Second, EA analyses (using Pearson correlation tests, BAYESCENV and LFMM) jointly identified seven SNPs as candidates for thermal adaptation. Covariation at these SNPs was assessed with a spatial multivariate analysis that highlighted a significant temperature association, after accounting for the influence of spatial distribution. Among the 505 candidate SNPs detected by at least one of the three approaches, we discovered three polymorphisms located in genes previously shown to play a role in thermal adaptation. Our results have implications for the management of the American lobster and provide a foundation on which to predict how this species will cope with climate change.