Molecular Ecology Laboratory, College of Science and Engineering, Flinders University, Bedford Park, SA, Australia.
Cetacean Ecology, Behaviour, and Evolution Laboratory, College of Science and Engineering, Flinders University, Bedford Park, SA, 5042, Australia.
BMC Ecol Evol. 2022 Jul 12;22(1):88. doi: 10.1186/s12862-022-02038-1.
High levels of standing genomic variation in wide-ranging marine species may enhance prospects for their long-term persistence. Patterns of connectivity and adaptation in such species are often thought to be influenced by spatial factors, environmental heterogeneity, and oceanographic and geomorphological features. Population-level studies that analytically integrate genome-wide data with environmental information (i.e., seascape genomics) have the potential to inform the spatial distribution of adaptive diversity in wide-ranging marine species, such as many marine mammals. We assessed genotype-environment associations (GEAs) in 214 common dolphins (Delphinus delphis) along > 3000 km of the southern coast of Australia.
We identified 747 candidate adaptive SNPs out of a filtered panel of 17,327 SNPs, and five putatively locally-adapted populations with high levels of standing genomic variation were disclosed along environmentally heterogeneous coasts. Current velocity, sea surface temperature, salinity, and primary productivity were the key environmental variables associated with genomic variation. These environmental variables are in turn related to three main oceanographic phenomena that are likely affecting the dispersal of common dolphins: (1) regional oceanographic circulation, (2) localised and seasonal upwellings, and (3) seasonal on-shelf circulation in protected coastal habitats. Signals of selection at exonic gene regions suggest that adaptive divergence is related to important metabolic traits.
To the best of our knowledge, this represents the first seascape genomics study for common dolphins (genus Delphinus). Information from the associations between populations and their environment can assist population management in forecasting the adaptive capacity of common dolphins to climate change and other anthropogenic impacts.
广泛分布的海洋物种中存在高水平的基因组变异,这可能增强其长期生存的前景。此类物种的连通性和适应性模式通常被认为受空间因素、环境异质性以及海洋和地貌特征的影响。分析整合基因组数据与环境信息(即景观基因组学)的种群水平研究,有可能为广泛分布的海洋物种(如许多海洋哺乳动物)的适应性多样性的空间分布提供信息。我们评估了澳大利亚南部海岸 3000 多公里长的线上的 214 只宽吻海豚(Delphinus delphis)的基因型-环境关联(GEA)。
我们从过滤后的 17327 个 SNP 中筛选出 747 个候选适应性 SNP,并发现五个具有高水平基因组变异的假定局部适应种群存在于环境异质的海岸线上。海流速度、海面温度、盐度和初级生产力是与基因组变异相关的关键环境变量。这些环境变量与三个主要的海洋现象有关,这些现象可能影响宽吻海豚的扩散:(1)区域海洋环流;(2)局部和季节性上升流;(3)受保护的沿海栖息地中的季节性沿海环流。外显子基因区域的选择信号表明,适应性分化与重要的代谢特征有关。
据我们所知,这是对宽吻海豚(属 Delphinus)进行的第一次景观基因组学研究。种群与其环境之间的关联信息可以协助种群管理,预测宽吻海豚对气候变化和其他人为影响的适应能力。