Chen Xing, Zhao Huaxian, Jiang Gonglingxia, Tang Jinli, Xu Qiangsheng, Huang Lengjinghua, Chen Si, Zou Shuqi, Dong Ke, Li Nan
Key Laboratory of Environment Change and Resources Use in Beibu Gulf, Ministry of Education, Nanning Normal University, Nanning, China.
State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, Guangxi Microorganism and Enzyme Research Center of Engineering Technology, College of Life Science and Technology, Guangxi University, Nanning, China.
Front Microbiol. 2020 Dec 14;11:610974. doi: 10.3389/fmicb.2020.610974. eCollection 2020.
are widely distributed in aquatic environments and strongly associated with eutrophic environments and human health through the consumption of contaminated seafood. However, the response of the community to seasonal variation in eutrophic environments is poorly understood. In this study, we used a -specific 16S rRNA sequencing approach to reveal the seasonal distribution pattern and diversity of the community in the Maowei Sea, Beibu Gulf of China. The Shannon diversity of the community was highest in the summer, while β-diversity analysis showed that community structures were significantly different between seasons. Distance-based redundancy analysis (dbRDA) and Mantel test analysis suggested that total dissolved nitrogen (TDN), total dissolved phosphorus (TDP), dissolved inorganic nitrogen (DIN), salinity, and temperature were the key environmental factors shaping the community structure, indicating a strong filtering effect of trophic condition on communities. Furthermore, through random forest analysis, , , , , and the other eight species were more sensitive to eutrophic changes. This study revealed seasonal changes in communities and the influence of environmental variation on community composition, contributing to a better understanding of their potential ecological roles in a subtropical inland bay.
广泛分布于水生环境中，并通过食用受污染的海鲜与富营养化环境和人类健康密切相关。然而，人们对该群落对富营养化环境季节变化的响应了解甚少。在本研究中，我们使用特定的16S rRNA测序方法来揭示中国北部湾茅尾海该群落的季节分布模式和多样性。该群落的香农多样性在夏季最高，而β多样性分析表明不同季节的群落结构存在显著差异。基于距离的冗余分析（dbRDA）和Mantel检验分析表明，总溶解氮（TDN）、总溶解磷（TDP）、溶解无机氮（DIN）、盐度和温度是塑造该群落结构的关键环境因素，表明营养状况对该群落具有强烈的筛选作用。此外，通过随机森林分析，[具体物种名称1]、[具体物种名称2]、[具体物种名称3]、[具体物种名称4]、[具体物种名称5]以及其他八个物种对富营养化变化更为敏感。本研究揭示了该群落的季节变化以及环境变化对该群落组成的影响，有助于更好地理解它们在亚热带内湾中的潜在生态作用。
