ESE, Ecologie et Santé des Ecosystèmes, Institut Agro - Agrocampus Ouest, INRAE, Rennes, France.
Statistical and Actuarial Science Department, Simon Fraser University, Burnaby, British Columbia, Canada.
PLoS One. 2020 Nov 5;15(11):e0241429. doi: 10.1371/journal.pone.0241429. eCollection 2020.
Marine organisms show population structure at a relatively fine spatial scale, even in open habitats. The tools commonly used to assess subtle patterns of connectivity have diverse levels of resolution and can complement each other to inform on population structure. We assessed and compared the discriminatory power of genetic markers and otolith shape to reveal the population structure on evolutionary and ecological time scales of the common sole (Solea solea), living in the Eastern English Channel (EEC) stock off France and the UK. First, we genotyped fish with Single Nucleotide Polymorphisms to assess population structure at an evolutionary scale. Then, we tested for spatial segregation of the subunits using otolith shape as an integrative tracer of life history. Finally, a supervised machine learning framework was applied to genotypes and otolith phenotypes to probabilistically assign adults to subunits and assess the discriminatory power of each approach. Low but significant genetic differentiation was found among subunits. Moreover, otolith shape appeared to vary spatially, suggesting spatial population structure at fine spatial scale. However, results of the supervised discriminant analyses failed to discriminate among subunits, especially for otolith shape. We suggest that the degree of population segregation may not be strong enough to allow for robust fish assignments. Finally, this study revealed a weak yet existing metapopulation structure of common sole at the fine spatial scale of the EEC based on genotypes and otolith shape, with one subunit being more isolated. Our study argues for the use of complementary tracers to investigate marine population structure.
海洋生物在相对较小的空间尺度上表现出种群结构,即使在开放的生境中也是如此。评估细微连通性模式的常用工具具有不同的分辨率,可以相互补充,以了解种群结构。我们评估和比较了遗传标记和耳石形状的辨别能力,以揭示法国和英国东英吉利海峡(EEC)种群中普通比目鱼(Solea solea)的进化和生态时间尺度上的种群结构。首先,我们通过单核苷酸多态性对鱼类进行基因分型,以评估进化尺度上的种群结构。然后,我们测试了耳石形状作为生活史综合示踪剂的亚单位的空间分离。最后,应用监督机器学习框架对基因型和耳石表型进行概率分配,以评估每种方法的辨别能力。发现亚单位之间存在低度但显著的遗传分化。此外,耳石形状似乎存在空间差异,表明在精细的空间尺度上存在空间种群结构。然而,监督判别分析的结果未能在亚单位之间进行区分,尤其是对于耳石形状。我们认为,种群隔离程度可能不足以允许对鱼类进行稳健的分配。最后,本研究基于基因型和耳石形状揭示了东英吉利海峡的普通比目鱼在精细空间尺度上存在微弱但存在的复合种群结构,其中一个亚单位更加孤立。我们的研究主张使用互补示踪剂来研究海洋种群结构。