首页> 外文期刊>Hydrobiologia >Genetic diversity patterns of microbial communities in a subtropical riverine ecosystem (Jiulong River, southeast China).
【24h】

Genetic diversity patterns of microbial communities in a subtropical riverine ecosystem (Jiulong River, southeast China).

机译:亚热带河流生态系统(中国东南部的九龙江)微生物群落的遗传多样性模式。

获取原文
获取原文并翻译 | 示例
           

摘要

Prokaryotic and eukaryotic microbes are key organisms in aquatic ecosystems and play pivotal roles in the biogeochemical cycles, but little is known about genetic diversity of these communities in subtropical rivers. In this study, microbial planktonic communities were determined by using denaturing gradient gel electrophoresis (DGGE) analysis from the Jiulong River, southeast China, and their relationships with local environmental factors were studied. The Betaproteobacteria (26%) and Dinophyceae (26%) were the most dominant taxa in prokaryotic and eukaryotic clones derived from DGGE bands, respectively. Further, both cluster and ordination analyses of prokaryotic and eukaryotic DGGE fingerprinting resulted in three identical groups from the 15 sites, which were closely related with the environmental factors. Partial redundancy analysis (partial RDA) revealed that agricultural pollution (phosphorus and nitrogen) and saltwater intrusion (conductivity and salinity) were the main factors impacting microbial community composition, by explaining more than two-thirds of the total variation in both prokaryotic (67.0%) and eukaryotic (70.5%) communities. Moreover, the robust and quantifiable relationship between DGGE results and environmental variables indicated that the community-level molecular fingerprinting techniques could support the physicochemical assessment of riverine water quality and ecosystem health.
机译:原核和真核微生物是水生生态系统中的关键生物,在生物地球化学循环中起着关键作用,但对亚热带河流域这些群落的遗传多样性知之甚少。本研究利用东南九龙河的变性梯度凝胶电泳(DGGE)分析方法确定了微生物的浮游生物群落,并研究了它们与当地环境因素的关系。 Betaproteobacteria(26%)和Dinophyceae(26%)分别是源自DGGE谱带的原核和真核克隆中最主要的分类群。此外,对原核和真核DGGE指纹图谱的聚类分析和排序分析都从15个位点得到了三个相同的组,这与环境因素密切相关。部分冗余分析(部分RDA)显示,农业污染(磷和氮)和盐水入侵(电导率和盐度)是影响微生物群落组成的主要因素,他解释了两种原核生物总变异的三分之二(67.0%) )和真核(70.5%)社区。此外,DGGE结果与环境变量之间的稳健且可量化的关系表明,社区一级的分子指纹技术可以支持对河流水质和生态系统健康的理化评估。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号