Fitz Kyra S, Montes Humberto R, Thompson Diane M, Pinsky Malin L
Department of Ecology, Evolution and Natural Resources Rutgers University New Brunswick New Jersey USA.
Institute of Tropical Ecology and Environmental Management Visayas State University Baybay City Philippines.
Evol Appl. 2022 Aug 25;16(2):379-392. doi: 10.1111/eva.13448. eCollection 2023 Feb.
Obtaining dispersal estimates for a species is key to understanding local adaptation and population dynamics and to implementing conservation actions. Genetic isolation-by-distance (IBD) patterns can be used for estimating dispersal, and these patterns are especially useful for marine species in which few other methods are available. In this study, we genotyped coral reef fish () at 16 microsatellite loci across eight sites across 210 km in the central Philippines to generate fine-scale estimates of dispersal. All sites except for one followed IBD patterns. Using IBD theory, we estimated a larval dispersal kernel spread of 8.9 km (95% confidence interval of 2.3-18.4 km). Genetic distance to the remaining site correlated strongly with the inverse probability of larval dispersal from an oceanographic model. Ocean currents were a better explanation for genetic distance at large spatial extents (sites greater than 150 km apart), while geographic distance remained the best explanation for spatial extents less than 150 km. Our study demonstrates the utility of combining IBD patterns with oceanographic simulations to understand connectivity in marine environments and to guide marine conservation strategies.
获取一个物种的扩散估计值是理解局部适应性和种群动态以及实施保护行动的关键。遗传距离隔离（IBD）模式可用于估计扩散，并且这些模式对于几乎没有其他可用方法的海洋物种尤其有用。在本研究中，我们对菲律宾中部210公里范围内八个地点的珊瑚礁鱼类（）进行了16个微卫星位点的基因分型，以生成精细尺度的扩散估计值。除了一个地点外，所有地点都遵循IBD模式。利用IBD理论，我们估计幼体扩散核的传播范围为8.9公里（95%置信区间为2.3 - 18.4公里）。到其余地点的遗传距离与海洋学模型中幼体扩散的反向概率密切相关。在大空间范围（相距大于150公里的地点），洋流对遗传距离的解释更好，而在小于150公里的空间范围内，地理距离仍然是最佳解释。我们的研究证明了将IBD模式与海洋学模拟相结合以理解海洋环境中的连通性并指导海洋保护策略的实用性。
