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太行山前平原浅层地下水污染的分子生物学响应特征——以滹沱河流域为例

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何泽, 宁卓, 黄冠星, 刘丹丹, 张千千, 孙继朝. 2019. 太行山前平原浅层地下水污染的分子生物学响应特征——以滹沱河流域为例[J]. 中国地质, 46(2): 290-301. doi: 10.12029/gc20190206
引用本文: 何泽, 宁卓, 黄冠星, 刘丹丹, 张千千, 孙继朝. 2019. 太行山前平原浅层地下水污染的分子生物学响应特征——以滹沱河流域为例[J]. 中国地质, 46(2): 290-301. doi: 10.12029/gc20190206
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HE Ze, NING Zhuo, HUANG Guanxing, LIU Dandan, ZHANG Qianqian, SUN Jichao. 2019. The response characteristics of microbial diversity to shallow groundwater contamination in the piedmont of the Taihang Mountains using molecular biotechnologies: A case study of groundwater of Hutuo River Basin[J]. Geology in China, 46(2): 290-301. doi: 10.12029/gc20190206
Citation: HE Ze, NING Zhuo, HUANG Guanxing, LIU Dandan, ZHANG Qianqian, SUN Jichao. 2019. The response characteristics of microbial diversity to shallow groundwater contamination in the piedmont of the Taihang Mountains using molecular biotechnologies: A case study of groundwater of Hutuo River Basin[J]. Geology in China, 46(2): 290-301. doi: 10.12029/gc20190206
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太行山前平原浅层地下水污染的分子生物学响应特征——以滹沱河流域为例

  • 1.

    中国地质科学院水文地质环境地质研究所, 河北 石家庄 050061

  • 2.

    中国地质调查局/河北省地下水污染机理与修复重点实验室, 河北 石家庄 050061

  • 3.

    中国地质调查局水文地质环境地质调查中心, 河北 保定 071051

  • 基金项目:
    中国地质调查局地质调查项目(DD20160309)、国家自然科学基金资助项目(41602261)、中国地质科学院基本科研业务费专项经费(SK201702)及河北省自然科学基金资助项目(D2016504021)联合资助
详细信息
    作者简介: 何泽, 男, 1981年生, 高级工程师, 长期从事场地自然衰减、区域微生物调查工作; E-mail:heze25@163.com

  • 中图分类号: P641

The response characteristics of microbial diversity to shallow groundwater contamination in the piedmont of the Taihang Mountains using molecular biotechnologies: A case study of groundwater of Hutuo River Basin

  • 1.

    Institute of Hydrogeology and Environmental Geology, Chinese Academy of Geological Sciences, Shijiazhuang 050061, China

  • 2.

    Key Laboratory of Groundwater Remediation, China Geological Survey, Hebei, Shijiazhuang 050061, China

  • 3.

    Center for Hydrogeology and Environmental Geology, China Geological Survey, Baoding 071051, Hebei, China

  • Fund Project: Supported by China Geological Survey Program (No. DD20160309), National Science Foundation of China (No.41602261), Fundamental Research Funds for Central Public Welfare Research Institutes, CAGS (No. SK201702) and Natural Science Foundation of Hebei Province (No. D2016504021)
More Information
    Author Bio: HE Ze, male, born in 1981, senior engineer, engages in research on natural attenuation and microbial investigation; E-mail: heze25@163.com .

    摘要

  • 分子生物学技术是地下水污染研究的前沿技术，常用于场地尺度，区域尺度罕见。以太行山前平原滹沱河流域的典型浅层地下水为研究对象，沿河布点采样67组，采用高通量测序技术，测定样品16S rDNA基因序列，以化学需氧量、硝酸盐、溶解性总固体为环境因子，分析与污染相关的微生物种群结构响应及功能性指示菌属。结果显示：采用累积概率分布法将样品分为背景(B)、硝酸盐污染(N)、有机污染(Y)3组，该分类阈值与地下水质量标准的Ⅲ类水阈值可较好对应；微生物群落丰富度为B组> N组> Y组，有机污染使微生物种群趋于单一，且与背景差异更大。有机污染功能性指示菌属为Acinetobacter，硝酸盐污染为Nitrospira。以上形成的分子生物学响应特征研究方法可为区域调查及修复提供技术方法理论依据。

    In the groundwater contamination research, molecular biotechnologies are one of the cutting-edge technologies. This kind of technologies have been commonly used at site scale, but rarely applied at regional scale. The shallow groundwater in Hutuo River Basin was selected as the study subject, because of it is one of the typical regions in front of the Taihang Mountains.67 samples were collected along the river. The 16s rDNA gene sequences were tested by high-throughput sequencing technology. According to the environmental factors of NO3-, COD and TDS, the microbial communities and the functional indicator microorganisms related to groundwater contamination were studied. The results showed that, using the cumulative probability distribution method, the samples were divided into three groups:background (B group), nitrate pollution (N group), and organic pollution (Y group).This grouping rule was close to the Ⅲ water grade threshold in the quality standard of groundwater. The order of microbial community richness is B group > N group > Y group. The organic pollution could decrease the richness diversity of microbial communities, and the difference was more significant in comparison with background microorganisms. The functional indicator microorganisms related to organic pollution was Acinetobacter, and the functional indicator microorganisms related to nitrate pollution was Nitrospira. The molecular biotechnologies and analysis methods used in this research could provide the theoretical evidence for regional environmental investigation and bioremediation.

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  • 图 1  滹沱河流域地下水采样布点图(B组为背景点；N组为硝酸盐污染点；Y组为有机污染点)

    Figure 1. 

    下载: 全尺寸图片 幻灯片

    图 2  累积概率曲线分析

    Figure 2. 

    下载: 全尺寸图片 幻灯片

    图 3  相似度为97%条件下各样本的稀释曲线

    Figure 3. 

    下载: 全尺寸图片 幻灯片

    图 4  样品层级聚类分析(OTU水平)

    Figure 4. 

    下载: 全尺寸图片 幻灯片

    图 5  Beta多样性的主坐标分析(PCoA)图

    Figure 5. 

    下载: 全尺寸图片 幻灯片

    图 6  不同样品之间比较的韦恩图

    Figure 6. 

    下载: 全尺寸图片 幻灯片

    图 7  细菌组成属分类水平的比较(丰度＞5%)

    Figure 7. 

    下载: 全尺寸图片 幻灯片

    图 8  组间显著性差异检验(丰度前五物种)

    Figure 8. 

    下载: 全尺寸图片 幻灯片

    图 9  CCA分析图(前4种优势属)

    Figure 9. 

    下载: 全尺寸图片 幻灯片

    表 1  样品Alpha多样性指数(每组均值)

    Table 1.  the Alpha-diversity of samples

    下载: 导出CSV
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收稿日期:  2018-09-15
修回日期:  2019-02-19
刊出日期:  2019-04-25

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