Génomique Métabolique, Genoscope, Institut François Jacob, CEA, CNRS, Univ Evry, Université Paris-Saclay, Evry, France.
Research Federation for the Study of Global Ocean Systems Ecology and Evolution, FR2022/Tara Oceans GO-SEE, 3 rue Michel-Ange, Paris, France.
BMC Ecol Evol. 2023 Sep 1;23(1):46. doi: 10.1186/s12862-023-02160-8.
Plankton seascape genomics studies have revealed different trends from large-scale weak differentiation to microscale structures. Previous studies have underlined the influence of the environment and seascape on species differentiation and adaptation. However, these studies have generally focused on a few single species, sparse molecular markers, or local scales. Here, we investigated the genomic differentiation of plankton at the macro-scale in a holistic approach using Tara Oceans metagenomic data together with a reference-free computational method.
We reconstructed the F-based genomic differentiation of 113 marine planktonic taxa occurring in the North and South Atlantic Oceans, Southern Ocean, and Mediterranean Sea. These taxa belong to various taxonomic clades spanning Metazoa, Chromista, Chlorophyta, Bacteria, and viruses. Globally, population genetic connectivity was significantly higher within oceanic basins and lower in bacteria and unicellular eukaryotes than in zooplankton. Using mixed linear models, we tested six abiotic factors influencing connectivity, including Lagrangian travel time, as proxies of oceanic current effects. We found that oceanic currents were the main population genetic connectivity drivers, together with temperature and salinity. Finally, we classified the 113 taxa into parameter-driven groups and showed that plankton taxa belonging to the same taxonomic rank such as phylum, class or order presented genomic differentiation driven by different environmental factors.
Our results validate the isolation-by-current hypothesis for a non-negligible proportion of taxa and highlight the role of other physicochemical parameters in large-scale plankton genetic connectivity. The reference-free approach used in this study offers a new systematic framework to analyse the population genomics of non-model and undocumented marine organisms from a large-scale and holistic point of view.
浮游生物景观基因组学研究揭示了从大尺度弱分化到微尺度结构的不同趋势。先前的研究强调了环境和景观对物种分化和适应的影响。然而,这些研究通常集中在少数几个单一物种、稀疏的分子标记或局部尺度上。在这里,我们使用 Tara Oceans 宏基因组数据和无参考的计算方法,从整体上研究了浮游生物在宏观尺度上的基因组分化。
我们重建了发生在北大西洋、南大西洋、南大洋和地中海的 113 种海洋浮游生物的基于 F 的基因组分化。这些类群属于各种分类群,包括后生动物、色体、绿藻、细菌和病毒。总体而言,种群遗传连通性在大洋盆地内显著较高,而在细菌和单细胞真核生物中则较低。使用混合线性模型,我们测试了六个影响连通性的非生物因素,包括拉格朗日旅行时间,作为洋流效应的代理。我们发现洋流是种群遗传连通性的主要驱动因素,与温度和盐度一起。最后,我们将 113 个类群分为参数驱动组,并表明属于同一分类等级的浮游生物类群,如门、纲或目,其基因组分化是由不同的环境因素驱动的。
我们的结果验证了对于相当一部分类群而言,洋流隔离假说的有效性,并强调了其他物理化学参数在大尺度浮游生物遗传连通性中的作用。本研究中使用的无参考方法为从大尺度和整体角度分析非模式和未记录的海洋生物的群体基因组学提供了一个新的系统框架。