Cui Ge, Chen Juan, Wang Pei-Fang, Wang Chao, Wang Xun, Zhang Bo, Wu Cheng
College of Environment, Hohai University, Nanjing 210098, China.
Key Laboratory of Integrated Regulation and Resource Department on Shallow Lakes, Ministry of Education, Hohai University, Nanjing 210098, China.
Huan Jing Ke Xue. 2023 Feb 8;44(2):839-846. doi: 10.13227/j.hjkx.202204255.
Eukaryotic microbial communities play an important role in biogeochemical cycling and maintaining the health and stability of ecosystems. However, little is known about the geographical distribution patterns, key driving mechanisms, and interspecific interactions of eukaryotic microorganisms in large rivers. This study investigated the geographical distribution characteristics, influencing factors, and interspecific interactions of eukaryotic microorganisms in sediments from the Jinsha River, a cascade hydropower development river in southwest China. The results showed that the -diversity indices of benthic eukaryotic microorganisms in the Jinsha River increased first and then decreased. The community structure and relative abundance of dominant genera of benthic eukaryotic microorganisms differed significantly among different reaches. The results of distance decay analysis showed that the community assembly of benthic eukaryotic microorganisms in the Jinsha River was influenced by environmental selection and dispersal limitation. The results of variance partitioning analysis and neutral model further demonstrated that the geographical distribution pattern was mainly driven by dispersal limitation. The co-occurrence network analysis revealed that the interspecific competition and network connectivity of the cascade dam reach were weaker than those of the upstream natural reach, indicating that the interactions of benthic eukaryotic microorganisms were stronger in the upstream natural reach. This study supplemented the lack of data on the diversity and geographical distribution of benthic eukaryotic microorganisms in the river of southwest China and provided data support for the ecological response of benthic eukaryotic microorganisms in the river of cascade hydropower development.
真核微生物群落对生物地球化学循环以及维持生态系统的健康与稳定起着重要作用。然而,关于大型河流中真核微生物的地理分布模式、关键驱动机制以及种间相互作用,我们所知甚少。本研究调查了中国西南部一条梯级水电开发河流——金沙江沉积物中真核微生物的地理分布特征、影响因素及种间相互作用。结果表明,金沙江底栖真核微生物的多样性指数先升高后降低。不同河段底栖真核微生物的群落结构及优势属的相对丰度存在显著差异。距离衰减分析结果表明,金沙江底栖真核微生物的群落组装受环境选择和扩散限制的影响。方差分解分析和中性模型结果进一步表明,地理分布模式主要由扩散限制驱动。共现网络分析表明,梯级大坝河段的种间竞争和网络连通性比上游天然河段弱,这表明上游天然河段底栖真核微生物的相互作用更强。本研究补充了中国西南部河流底栖真核微生物多样性和地理分布数据的不足,并为梯级水电开发河流中底栖真核微生物的生态响应提供了数据支持。