CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory of Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266200, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China.
CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory of Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266200, China; College of Marine Science, University of Chinese Academy of Sciences, Beijing 10039, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China.
Water Res. 2022 Jun 30;218:118488. doi: 10.1016/j.watres.2022.118488. Epub 2022 Apr 22.
The Jiaozhou Bay as a model marine ecosystem in China has been intensively investigated over the last 90 years. However, detailed phytoplankton community composition, spatial-temporal dynamics, and its assembly mechanism were still unclear. To address these, we systematically examined the composition and spatial-temporal dynamics of phytoplankton in the Jiaozhou Bay through high-throughput sequencing of 18S rDNA V4. Analysis of 468 samples from 12 sampling sites over one full year revealed much higher phytoplankton diversity than previous reports, and strong seasonal succession patterns. Some phytoplankton also showed spatial variations, although the phytoplankton community didn't show significant distance-decay pattern. Environmental factors (especially temperature), species-species interrelationships and unique resting stages were uncovered to be the main contributors instead of stochastic process in shaping the phytoplankton community assembly. The overwhelming positive correlations between phytoplankton and other protists suggested that coevolution might be critical in this marine ecosystem. Complementary distributions of different amplicon sequence variants (ASVs) of same genera, such as Skeletonema marinoi (ASV_2) and Skeletonema tropicum (ASV_263) of the genus Skeletonema, suggested that phytoplankton have evolved differentially to exploit a wide range of ecological niches. This study laid a solid foundation for asertaining phytoplankton composition and spatial-temporal dynamics in temperate seawaters and mechanisms underlying phytoplankton community assembly, allowing in-depth studies of marine ecology.
中国胶州湾作为一个典型的海洋生态系统，在过去的 90 年里得到了深入的研究。然而，有关浮游植物群落的详细组成、时空动态及其组装机制仍不清楚。为了解决这些问题，我们通过高通量测序 18S rDNA V4 对胶州湾浮游植物的组成和时空动态进行了系统研究。对 12 个采样点的 468 个样本进行了一年的分析，结果表明浮游植物的多样性高于以往的报道，且具有明显的季节性演替模式。一些浮游植物也表现出空间变化，尽管浮游植物群落没有表现出明显的距离衰减模式。环境因素（特别是温度）、种间关系和独特的休眠阶段被发现是塑造浮游植物群落组装的主要因素，而不是随机过程。浮游植物与其他原生动物之间的强烈正相关表明，共同进化可能在这个海洋生态系统中至关重要。同一属的不同扩增子序列变异（ASV）之间的互补分布，如 Skeletonema marinoi（ASV_2）和 Skeletonema tropicum（ASV_263），表明浮游植物已经进化为不同的方式来利用广泛的生态位。本研究为确定温带海水浮游植物的组成和时空动态以及浮游植物群落组装的机制奠定了基础，为海洋生态学的深入研究提供了依据。
