Dillane E, McGinnity P, Coughlan J P, Cross M C, De Eyto E, Kenchington E, Prodöhl P, Cross T F
Department of Zoology, Ecology and Plant Science, Environmental Research Institute, University College, Cork, Ireland.
Mol Ecol. 2008 Nov;17(22):4786-800. doi: 10.1111/j.1365-294X.2008.03939.x.
Contemporary genetic structure of Atlantic salmon (Salmo salar L.) in the River Moy in Ireland is shown here to be strongly related to landscape features and population demographics, with populations being defined largely by their degree of physical isolation and their size. Samples of juvenile salmon were collected from the 17 major spawning areas on the river Moy and from one spawning area in each of five smaller nearby rivers. No temporal allele frequency differences were observed within locations for 12 microsatellite loci, whereas nearly all spatial samples differed significantly, suggesting that each was a separate population. Bayesian clustering and landscape genetic analyses suggest that these populations can be combined hierarchically into five genetically informative larger groupings. Lakes were found to be the single most important determinant of the observed population structure. Spawning area size was also an important factor. The salmon population of the closest nearby river resembled genetically the largest Moy population grouping. In addition, we showed that anthropogenic influences on spawning habitats, in this case arterial drainage, can affect relationships between populations. Our results show that Atlantic salmon biodiversity can be largely defined by geography, and thus, knowledge of landscape features (for example, as characterized within Geographical Information Systems) has the potential to predict population structure in other rivers without an intensive genetic survey, or at least to help direct sampling. This approach of combining genetics and geography, for sampling and in subsequent statistical analyses, has wider application to the investigation of population structure in other freshwater/anadromous fish species and possibly in marine fish and other organisms.
本文表明,爱尔兰莫伊河大西洋鲑(Salmo salar L.)的当代遗传结构与景观特征和种群统计学密切相关,种群很大程度上由其物理隔离程度和规模所定义。从莫伊河的17个主要产卵区以及附近五条较小河流中的每条河流的一个产卵区采集了幼鲑样本。在12个微卫星位点的各个位置内未观察到时间上的等位基因频率差异,而几乎所有空间样本都有显著差异,这表明每个样本都是一个独立的种群。贝叶斯聚类和景观遗传分析表明,这些种群可以分层组合成五个具有遗传信息的较大分组。湖泊是观察到的种群结构的最重要单一决定因素。产卵区大小也是一个重要因素。附近最近河流的鲑鱼种群在基因上与莫伊河最大的种群分组相似。此外,我们表明,在这种情况下,人为对产卵栖息地的影响,即动脉排水,会影响种群之间的关系。我们的结果表明,大西洋鲑的生物多样性在很大程度上可以由地理因素定义,因此,了解景观特征(例如,地理信息系统所表征的)有可能在不进行密集基因调查的情况下预测其他河流的种群结构,或者至少有助于指导采样。这种将遗传学和地理学相结合的方法,用于采样和后续统计分析,在调查其他淡水/溯河产卵鱼类物种以及可能的海洋鱼类和其他生物的种群结构方面具有更广泛的应用。