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Integrating microbial biomass, composition and function to discern the level of anthropogenic activity in a river ecosystem

机译:整合微生物的生物量,组成和功能以识别河流生态系统中的人为活动水平

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摘要

Anthropogenic activities (e.g., wastewater discharge and pesticide and fertilizer use) have considerable impact on the biotic properties of natural aquatic ecosystems, especially the microbial community and function. Microbes can respond to anthropogenic activities and are thus potential indicators of activity levels. Several reports have documented the impacts of anthropogenic activities on the variations in the microbial community, but the direct use of microbial community indices to discern anthropogenic activity levels remains limited. Here, we integrated flow cytometry, 16S rRNA sequencing, and natural organic matter metabolism determination to investigate microbial biomass, composition, and function in three areas along a gradient of anthropogenic disturbance (less-disturbed mountainous area, wastewater-discharge urban area, and pesticide and fertilizer used agricultural area) in a river ecosystem. Multiple statistical methods were used to explore the causal relationships between changes in environmental factors and microbial variation. Results showed that anthropogenic activities (e.g., wastewater discharge, pesticide and fertilizer use) facilitated bacterial production, affected dominant species distribution, and accelerated natural organic matter (NOM) metabolic rate by microbes. After screening the possible factors influencing the microbial community, we determined that cyanobacterial concentration could be a diagnostic indicator of nutrient levels. We also developed a NOM metabolic index to quantitatively reflect the holistic influence of nutrients and xenobiotics.
机译:人为活动(例如废水排放以及农药和化肥的使用)对天然水生生态系统的生物特性,尤其是微生物群落和功能产生重大影响。微生物可以对人为活动做出反应,因此是活动水平的潜在指标。几份报告记录了人为活动对微生物群落变化的影响,但是直接使用微生物群落指数来识别人为活动水平仍然有限。在这里,我们结合流式细胞仪,16S rRNA测序和天然有机物代谢测定,研究了沿人为干扰梯度(受干扰较少的山区,废水排放市区和农药)三个区域中微生物的生物量,组成和功能和肥料用于农业))多种统计方法被用来探讨环境因素变化和微生物变化之间的因果关系。结果表明,人为活动(例如废水排放,农药和肥料的使用)促进了细菌的产生,影响了优势物种的分布并加速了微生物对天然有机物(NOM)的代谢速度。在筛选了可能影响微生物群落的因素之后,我们确定蓝细菌浓度可以作为营养水平的诊断指标。我们还开发了NOM代谢指标,以定量反映营养素和异种生物的整体影响。

著录项

  • 来源
    《Environment international》 |2018年第7期|147-155|共9页
  • 作者单位

    Chinese Acad Sci, Res Ctr Ecoenvironm Sci, Key Lab Drinking Water Sci & Technol, 18 Shuangqing Rd, Beijing 100085, Peoples R China|Univ Chinese Acad Sci, Beijing 100049, Peoples R China;

    Chinese Acad Sci, Res Ctr Ecoenvironm Sci, Key Lab Drinking Water Sci & Technol, 18 Shuangqing Rd, Beijing 100085, Peoples R China;

    Chinese Acad Sci, Res Ctr Ecoenvironm Sci, Key Lab Drinking Water Sci & Technol, 18 Shuangqing Rd, Beijing 100085, Peoples R China|Univ Chinese Acad Sci, Beijing 100049, Peoples R China;

    Chinese Acad Sci, Res Ctr Ecoenvironm Sci, Key Lab Drinking Water Sci & Technol, 18 Shuangqing Rd, Beijing 100085, Peoples R China;

    Chinese Acad Sci, Res Ctr Ecoenvironm Sci, Key Lab Drinking Water Sci & Technol, 18 Shuangqing Rd, Beijing 100085, Peoples R China|Univ Chinese Acad Sci, Beijing 100049, Peoples R China;

    Chinese Acad Sci, Res Ctr Ecoenvironm Sci, Key Lab Drinking Water Sci & Technol, 18 Shuangqing Rd, Beijing 100085, Peoples R China;

    Chinese Acad Sci, Res Ctr Ecoenvironm Sci, Key Lab Drinking Water Sci & Technol, 18 Shuangqing Rd, Beijing 100085, Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Anthropogenic activity; Microbial community; Biomass; Composition; Function; Bioindicator;

    机译:人为活动;微生物群落;生物量;组成;功能;生物指标;

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