Shenzhen Key Laboratory of Marine Microbiome Engineering, Institute for Advanced Study, Shenzhen University, Shenzhen, 518060, China.
Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Optoelectronic Engineering, Shenzhen University, Shenzhen, 518060, China.
Appl Microbiol Biotechnol. 2021 Mar;105(5):1979-1989. doi: 10.1007/s00253-021-11142-z. Epub 2021 Feb 5.
River-bay systems are transitional areas that hold important roles in biogeochemical processes between continents and oceans. However, composition and structure of microbial communities shaped by such environments have not been clear yet. In this study, we used high-throughput sequencing of 16S rRNA genes to analyze the diversity and composition of sediment bacterial communities from the Shenzhen river-bay system during dry and wet seasons. The results showed that sediment bacterial community structure was varied according to habitats (river vs. estuary) and seasons (wet season vs. dry season). The alpha diversity of sediment bacterial community was significantly higher in the dry season than in the wet season, while no significant difference of alpha diversity was found between river and estuary. Neutral community model revealed a significant influence of stochastic processes on sediment bacterial community assembly, especially in the wet season. However, the beta nearest-taxon index indicated that deterministic processes were more responsible for the assembly of sediment bacterial community. Additionally, redundancy analysis suggested strong links between sediment bacterial communities and environmental factors in Shenzhen river-bay system, with the environmental factors explaining 63.5% of the bacterial community variation. Specifically, NH, pH, and salinity were the three most important contributing factors that shaped the sediment bacterial communities. Overall, this study provides a valuable reference to get insights into the spatiotemporal pattern of sediment bacterial communities in a typical river-bay system. KEY POINTS: • Stochastic processes contribute sediment bacterial community assembly. • Deterministic processes dominate sediment bacterial community assembly. • Environmental factors shape sediment bacterial communities.
河流湾系统是连接大陆和海洋的生物地球化学过程中的过渡区域，具有重要作用。然而，这些环境塑造的微生物群落的组成和结构尚不清楚。在这项研究中，我们使用高通量 16S rRNA 基因测序技术分析了深圳河湾系统在干湿季节沉积物细菌群落的多样性和组成。结果表明，沉积物细菌群落结构随生境（河流与河口）和季节（湿季与干季）而变化。干季沉积物细菌群落的α多样性明显高于湿季，而河流与河口之间的α多样性无显著差异。中性群落模型揭示了随机过程对沉积物细菌群落组装的显著影响，特别是在湿季。然而，β最近分类单元指数表明，确定性过程对沉积物细菌群落的组装更为重要。此外，冗余分析表明，深圳河湾系统沉积物细菌群落与环境因素之间存在紧密联系，环境因素解释了细菌群落变化的 63.5%。具体而言，NH、pH 和盐度是塑造沉积物细菌群落的三个最重要的因素。总的来说，本研究为深入了解典型河湾系统沉积物细菌群落的时空格局提供了有价值的参考。 关键点： • 随机过程有助于沉积物细菌群落的组装。 • 确定性过程主导沉积物细菌群落的组装。 • 环境因素塑造沉积物细菌群落。
