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金沙江底栖真核微生物地理分布特征及生态学机制
摘要点击 2567  全文点击 2712  投稿时间:2022-04-21  修订日期:2022-05-20
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中文关键词  沉积物  真核微生物  群落结构  扩散限制  共现网络
英文关键词  sediment  eukaryotic microorganisms  community composition  dispersal limitation  co-occurrence network
作者单位E-mail
崔戈 河海大学环境学院, 南京 210098
河海大学浅水湖泊综合治理与资源开发教育部重点实验室, 南京 210098 
1449234361@qq.com 
陈娟 河海大学环境学院, 南京 210098
河海大学浅水湖泊综合治理与资源开发教育部重点实验室, 南京 210098 
164054859@qq.com 
王沛芳 河海大学环境学院, 南京 210098
河海大学浅水湖泊综合治理与资源开发教育部重点实验室, 南京 210098 
 
王超 河海大学环境学院, 南京 210098
河海大学浅水湖泊综合治理与资源开发教育部重点实验室, 南京 210098 
 
王洵 河海大学环境学院, 南京 210098
河海大学浅水湖泊综合治理与资源开发教育部重点实验室, 南京 210098 
 
张波 河海大学环境学院, 南京 210098
河海大学浅水湖泊综合治理与资源开发教育部重点实验室, 南京 210098 
 
吴程 中国电建集团昆明勘测设计研究院有限公司, 昆明 650051  
中文摘要
      真核微生物在生物地球化学循环、维持生态系统健康稳定等方面发挥重要作用.目前关于大型河流真核微生物的地理分布模式和生态学机制仍知之甚少.以我国西南梯级水电开发河流金沙江为研究区域,探讨了底栖真核微生物的地理分布特征及影响因素,解析了真核微生物的种间相互作用关系.结果表明,金沙江底栖真核微生物的α多样性指数沿河流向下表现出先上升后下降的趋势;群落结构和优势属的相对丰度在上游自然河段和梯级大坝河段差异显著.距离衰减分析的结果显示,金沙江底栖真核微生物的群落构建受环境筛选和扩散限制的共同作用;方差分解分析和中性模型的结果进一步表明,其地理分布模式主要受到扩散限制的驱动.共现网络结果表明,相比于上游自然河段,梯级大坝河段的种间竞争关系和网络联通性较弱,说明了底栖真核微生物在上游自然河段的相互作用更强.研究结果补充了我国西南河流底栖真核微生物多样性和地理分布的资料不足,为梯级水电开发河流底栖真核微生物的生态响应提供数据支撑.
英文摘要
      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 α-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.

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