Department of Ecology, Evolution and Environmental Biology, Columbia University, New York, NY 10027, USA.
Mol Ecol. 2010 Jun;19(11):2212-28. doi: 10.1111/j.1365-294X.2010.04647.x. Epub 2010 May 4.
The assessment of population structure is a valuable tool for studying the ecology of endangered species and drafting conservation strategies. As we enhance our understanding about the structuring of natural populations, it becomes important that we also understand the processes behind these patterns. However, there are few rigorous assessments of the influence of environmental factors on genetic patterns in mobile marine species. Given their dispersal capabilities and localized habitat preferences, coastal cetaceans are adequate study species for evaluating environmental effects on marine population structure. The franciscana dolphin, a rare coastal cetacean endemic to the Western South Atlantic, was studied to examine these issues. We analysed genetic data from the mitochondrial DNA and 12 microsatellite markers for 275 franciscana samples utilizing frequency-based, maximum-likelihood and Bayesian algorithms to assess population structure and migration patterns. This information was combined with 10 years of remote sensing environmental data (chlorophyll concentration, water turbidity and surface temperature). Our analyses show the occurrence of genetically isolated populations within Argentina, in areas that are environmentally distinct. Combined evidence of genetic and environmental structure suggests that isolation by distance and a process here termed isolation by environmental distance can explain the observed correlations. Our approach elucidated important ecological and conservation aspects of franciscana dolphins, and has the potential to increase our understanding of ecological processes influencing genetic patterns in other marine species.
种群结构评估是研究濒危物种生态学和制定保护策略的有用工具。随着我们对自然种群结构形成过程的理解不断加深,理解这些模式背后的过程变得尤为重要。然而,对于环境因素对海洋移动物种遗传模式的影响,我们几乎没有进行过严格的评估。考虑到它们的扩散能力和局部栖息地偏好,沿海鲸目动物是评估环境对海洋种群结构影响的合适研究物种。我们选择了生活在西大西洋西部的珍稀沿海鲸目动物——巴西淡水豚,来研究这些问题。我们利用基于频率的、最大似然法和贝叶斯算法,分析了来自 275 个巴西淡水豚样本的线粒体 DNA 和 12 个微卫星标记的遗传数据,以评估种群结构和迁徙模式。我们将这些信息与 10 年的遥感环境数据(叶绿素浓度、水浊度和表面温度)相结合。我们的分析表明,在阿根廷境内存在遗传上隔离的种群,这些种群所处的环境明显不同。遗传和环境结构的综合证据表明,距离隔离和我们称之为环境距离隔离的过程可以解释观察到的相关性。我们的方法阐明了巴西淡水豚的重要生态和保护方面,并有潜力增进我们对其他海洋物种遗传模式的生态过程的理解。