Reconciling seascape genetics and fisheries science in three co-distributed flatfishes

Uncertainty hampers innovative mixed-fisheries management by the scales at which connectivity dynamics are relevant to management objectives. The spatial scale of sustainable stock management is species-specific and depends on ecology, life history and population connectivity. One valuable approach to understand these spatial scales is to determine to what extent population genetic structure correlates with the oceanographic environment. Here we compare the level of genetic connectivity in three co-distributed and commercially exploited demersal flatfish species living in the North East Atlantic Ocean. Population genetic structure was analysed based on 14, 14 and 10 neutral DNA microsatellite markers for turbot, brill and sole respectively. We then used redundancy analysis (RDA) to attribute the genetic variation to spatial (geographic location), temporal (sampling year) and oceanographic (water column characteristics) components.

不确定性会阻碍创新性混合渔业管理工作，其核心症结在于连通性动态与管理目标的关联尺度尚未明确。可持续渔业种群管理的空间尺度具有物种特异性，其取决于物种的生态学特性、生活史特征以及种群连通性。解析这类空间尺度的有效路径之一，是探明种群遗传结构与海洋环境的关联程度。本研究针对东北大西洋海域中3种同域分布、兼具商业捕捞价值的底栖比目鱼物种，对比其遗传连通性水平。研究分别基于14、14和10个中性DNA微卫星标记（microsatellite markers），对大菱鲆、欧洲菱鲆及舌鳎的种群遗传结构展开分析。随后，本研究采用冗余分析（Redundancy Analysis, RDA）将遗传变异拆解为空间（地理位置）、时间（采样年份）与海洋学（水柱特征）三类影响组分。