| 基于网络分析解析水源水库春季水体反硝化群落演变特征及驱动因素 |
| 摘要点击 2345 全文点击 840 投稿时间：2019-08-22 修订日期：2019-11-03 |
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| 中文关键词 反硝化群落 水源水库 春季 网络分析 驱动因素 |
| 英文关键词 denitrification community drinking water reservoir spring network analysis driving factor |
| 作者 | 单位 | E-mail | | 周石磊 | 河北科技大学环境科学与工程学院, 河北省污染防治生物技术实验室, 石家庄 050018 | ZSLZhouShilei@126.com | | 孙悦 | 河北科技大学环境科学与工程学院, 河北省污染防治生物技术实验室, 石家庄 050018 | | | 张艺冉 | 河北科技大学环境科学与工程学院, 河北省污染防治生物技术实验室, 石家庄 050018 | | | 黄廷林 | 西安建筑科技大学环境与市政工程学院, 西安 710055 | huangtinglin@xauat.edu.cn | | 张春华 | 西安建筑科技大学环境与市政工程学院, 西安 710055 | | | 方凯开 | 西安建筑科技大学环境与市政工程学院, 西安 710055 | | | 曾明正 | 西安建筑科技大学环境与市政工程学院, 西安 710055 | | | 李再兴 | 河北科技大学环境科学与工程学院, 河北省污染防治生物技术实验室, 石家庄 050018 | | | 崔建升 | 河北科技大学环境科学与工程学院, 河北省污染防治生物技术实验室, 石家庄 050018 | |
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| 中文摘要 |
| 结合现场水质调查和nirS反硝化功能基因的高通量测序技术，对周村水库春季热分层形成过程中的反硝化群落演变特征以及影响因素进行解析.结果表明，该时期水体分层逐渐形成，水体硝氮（NO3-）、氨氮（NH4+）、总氮（TN）、总有机碳（TOC）、五日生化需氧量（BOD5）、高锰酸盐指数、总磷（TP）、铁（Fe）和锰（Mn）均呈现显著差异（P<0.01），氮素呈现明显地下降趋势；高通量测序得到8703个OTU，共归属于3个门、8个主要的属，其中变形菌门占比最大、达到45.27%~78.90%；α-多样性指数计算显示除辛普森指数（Simpson指数）外，ACE指数、Chao指数、香农指数（Shannon指数）以及覆盖率指数（coverage指数）呈现显著差异（P<0.05）；主坐标分析春季3~5月间水体反硝化群落存在显著差异，与置换多因素方差分析的结果相一致（P<0.001）；物种间网络分析显示，该时期共有7个主要的模块，包含131个节点316个边，正向相关的边所占比例高达95.25%；物种-环境因子间网络分析显示，该时期共有5个模块，包含140个节点329个边，正向相关的边所占比例高达51.98%；指示物种分析得到62个指示OTU，关键物种分析得到28个关键物种OTU；RDA以及mantel test分析发现温度（T）、溶解氧（DO）、NO3-、TN、TOC、BOD5和TP是驱动水库春季水体反硝化菌群落结构以及关键反硝化物种演变的主要环境因素.综上，通过对该时期水体反硝化群落演变特征以及影响因素进行研究，可以为水库水体氮素的迁移转化以及污染控制提供技术支持. |
| 英文摘要 |
| Combined with on-site water quality investigation and nirS gene high-throughput sequencing technology, the evolution characteristics and influencing factors of the denitrification community during the formation of spring thermal stratification in Zhoucun Reservoir were analyzed. The results show that the water body stratification gradually formed during this period, and the environmental factors (NO3-, NH4+, TN, TOC, BOD5, permanganate index, TP, Fe, and Mn) showed significant differences (P<0.01); nitrogen showed a significant decline process. High-throughput sequencing provided 8703 OTU, which were divided into three phyla and eight major genera, proteobacteria accounted for the largest proportion with 45.27%-78.90%. The α-diversity except for the Simpson index showed that the ACE index, Chao index, Shannon index, and coverage index showed significant differences (P<0.05). The principal coordinate analysis showed the denitrification community exhibited significant differences in the spring, which was consistent with adonis result (P<0.001); network analysis (OTU-OTU) showed that there were seven main modules in this period, including 316 edges of 131 nodes, and the proportion of positive correlation edges was 95.25%. Network analysis (OTU-environmental factors) showed that there were five modules in this period, including 329 edges of 140 nodes, and the proportion of positive correlation edges was 51.98%. Sixty-two indicator OTU and 28 keystone OTU were obtained based on the indicator OTU analysis and network analysis. RDA and mantel test analysis indicated that T, DO, NO3-, TN, TOC, BOD5, and TP were the main environmental factors driving the denitrifying bacterial community structure and the key denitrifying OTU evolution in spring. Our results will provide technical support for the migration and transformation of nitrogen in reservoir water and pollution control. |
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