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Ecogenomics of Zooplankton Community Reveals Ecological Threshold of Ammonia Nitrogen

机译：浮游动物群落的生态基因组学揭示了氨氮的生态阈值

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摘要

Communities of zooplankton can be adversely affected by contamination resulting from human activities. Yet understanding the influence of water quality on zooplankton under field-conditions is hindered by traditional labor-intensive approaches that are prone to incomplete or uncertain taxonomic determinations. Here, for the first time, an eco-genomic approach, based on genetic diversity in the mitochondrial cytochrome c oxidase I (COI) region of DNA of zooplankton was used to develop a site-specific, water quality criterion (WQC) for ammonia (NH_3). Ammonia has been recognized as a primary stressor in the catchment of the large, eutrophic Tai Lake, China. Nutrients, especially NH_3 and nitrite (N0_3~-) had more significant effects on structure of the zooplankton community than did other environmental factors. Abundances of rotifers increased along a gradient of increasing concentrations of total ammonia nitrogen (TAN), while abundances of copepods and dadocera decreased. A novel, rapid, speaes sensitivity distribution (SSD) approach based on operational taxonomic units (OTUs) was established to develop a WQC for NH_3. The WQC based on OTUs was consistent with the WQC based on the traditional morphology taxonomy approach. This genetics-based SSD approach could be a useful tool for monitoring for status and trends in species composition and deriving ecological criteria and an efficient biomonitoring tool to protect local aquatic ecosystems in virtually any aquatic ecosystem.
机译：浮游生物群落可能受到人类活动造成的污染的不利影响。然而，传统的劳动密集型方法阻碍了人们在野外条件下了解水质对浮游动物的影响，因为这种方法易于进行不完整或不确定的生物分类确定。在这里，首次基于浮游动物DNA线粒体细胞色素C氧化酶I（COI）区域的遗传多样性的生态基因组学方法，针对氨水制定了针对特定地点的水质标准（WQC） NH_3）。在中国富营养化的太湖流域，氨被公认为主要压力源。营养元素，尤其是NH_3和亚硝酸盐（N0_3〜-）对浮游动物群落结构的影响比其他环境因素更为显着。轮虫的丰度随着总氨氮（TAN）浓度的增加而增加，而co足类和da足类的丰度则降低。建立了一种基于操作分类单位（OTU）的新颖，快速的豌豆敏感度分布（SSD）方法，以开发NH_3的WQC。基于OTU的WQC与基于传统形态分类法的WQC一致。这种基于遗传学的固态硬盘方法可能是监测物种组成的状况和趋势并推导出生态标准的有用工具，并且是保护几乎任何水生生态系统中本地水生生态系统的有效生物监测工具。

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  • 来源
    《Environmental Science & Technology》 |2017年第5期|3057-3064|共8页
  • 作者

    Jianghua Yang; Xiaowei Zhang; Yuwei Xie; Chao Song; Jingying Sun; Yong Zhang; John P. Giesy; Hongxia Yu;

  • 作者单位

    State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, Jiangsu 210023, China;

    State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, Jiangsu 210023, China;

    State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, Jiangsu 210023, China;

    State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, Jiangsu 210023, China;

    State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, Jiangsu 210023, China;

    Jiangsu Environmental Monitoring Center, Nanjing, Jiangsu 210000, China;

    State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, Jiangsu 210023, China ,Department of Veterinary Biomedical Sciences and Toxicology Centre, University of Saskatchewan, Saskatoon, Saskatchewan S7N 5B3, Canada ,School of Biological Sciences, University of Hong Kong, SAR, China;

    State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, Jiangsu 210023, China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
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