| 表流湿地细菌群落结构特征 |
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| 引用本文： | 魏佳明,崔丽娟,李伟,雷茵茹,于菁菁,秦鹏,穆泳林,梁钊瑞.表流湿地细菌群落结构特征[J].环境科学,2016,37(11):4357-4365. |
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| 作者姓名： | 魏佳明 崔丽娟 李伟 雷茵茹 于菁菁 秦鹏 穆泳林 梁钊瑞 |
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| 作者单位： | 中国林业科学研究院湿地研究所, 北京 100091;湿地生态功能与恢复北京市重点实验室, 北京 100091;北京汉石桥湿地生态系统国家定位观测研究站, 北京 101399,中国林业科学研究院湿地研究所, 北京 100091;湿地生态功能与恢复北京市重点实验室, 北京 100091;北京汉石桥湿地生态系统国家定位观测研究站, 北京 101399,中国林业科学研究院湿地研究所, 北京 100091;湿地生态功能与恢复北京市重点实验室, 北京 100091;北京汉石桥湿地生态系统国家定位观测研究站, 北京 101399,中国林业科学研究院湿地研究所, 北京 100091;湿地生态功能与恢复北京市重点实验室, 北京 100091;北京汉石桥湿地生态系统国家定位观测研究站, 北京 101399,中国林业科学研究院湿地研究所, 北京 100091;湿地生态功能与恢复北京市重点实验室, 北京 100091;北京汉石桥湿地生态系统国家定位观测研究站, 北京 101399,中国林业科学研究院湿地研究所, 北京 100091;湿地生态功能与恢复北京市重点实验室, 北京 100091;北京汉石桥湿地生态系统国家定位观测研究站, 北京 101399,中国林业科学研究院湿地研究所, 北京 100091;湿地生态功能与恢复北京市重点实验室, 北京 100091;北京汉石桥湿地生态系统国家定位观测研究站, 北京 101399,中国林业科学研究院湿地研究所, 北京 100091;湿地生态功能与恢复北京市重点实验室, 北京 100091;北京汉石桥湿地生态系统国家定位观测研究站, 北京 101399 |
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| 基金项目： | 中央级公益性科研院所基本科研业务费专项（CAFYBB2014QA029） |
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| 摘 要： | 为探讨表流湿地细菌群落结构的空间分布以及细菌环境影响因子,采用高通量测序方法,对表流湿地沿水流方向10个不同处理单元细菌群落结构进行分析,并利用冗余分析对其与环境因子的关系进行了探究.研究表明:细菌群落多样性指数(香农-威纳指数)平均值为6.57,细菌群落主要属于Proteobacterice(38.97%)、Bacteroidetes(15.63%)等18个门类,丰度大于1%的共有22个属;沿程细菌多样性总体呈现先升高后降低的波动性变化,最终处理单元与最初处理单元的多样性均较其余各处理单元低;细菌丰度与pH、ORP、NH_4~+-N、NO_2~--N、TN均有相关性.
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| 关 键 词： | 表流湿地 细菌群落 水环境 氮 高通量测序 |
| 收稿时间： | 2016/2/28 0:00:00 |
| 修稿时间： | 6/8/2016 12:00:00 AM |
Characteristics of Bacterial Communities in Surface-flow Constructed Wetlands |
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| WEI Jia-ming,CUI Li-juan,LI Wei,LEI Yin-ru,YU Jing-jing,QIN Peng,MU Yong-lin and LIANG Zhao-rui.Characteristics of Bacterial Communities in Surface-flow Constructed Wetlands[J].Chinese Journal of Environmental Science,2016,37(11):4357-4365. |
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| Authors: | WEI Jia-ming CUI Li-juan LI Wei LEI Yin-ru YU Jing-jing QIN Peng MU Yong-lin and LIANG Zhao-rui |
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| Institution: | Institute of Wetland Research, Chinese Academy of Forestry, Beijing 100091, China;The Beijing Key Laboratory of Wetland Ecological Function and Restoration, Beijing 100091, China;Beijing Hanshiqiao National Wetland Ecosystem Research Station, Beijing 101399, China,Institute of Wetland Research, Chinese Academy of Forestry, Beijing 100091, China;The Beijing Key Laboratory of Wetland Ecological Function and Restoration, Beijing 100091, China;Beijing Hanshiqiao National Wetland Ecosystem Research Station, Beijing 101399, China,Institute of Wetland Research, Chinese Academy of Forestry, Beijing 100091, China;The Beijing Key Laboratory of Wetland Ecological Function and Restoration, Beijing 100091, China;Beijing Hanshiqiao National Wetland Ecosystem Research Station, Beijing 101399, China,Institute of Wetland Research, Chinese Academy of Forestry, Beijing 100091, China;The Beijing Key Laboratory of Wetland Ecological Function and Restoration, Beijing 100091, China;Beijing Hanshiqiao National Wetland Ecosystem Research Station, Beijing 101399, China,Institute of Wetland Research, Chinese Academy of Forestry, Beijing 100091, China;The Beijing Key Laboratory of Wetland Ecological Function and Restoration, Beijing 100091, China;Beijing Hanshiqiao National Wetland Ecosystem Research Station, Beijing 101399, China,Institute of Wetland Research, Chinese Academy of Forestry, Beijing 100091, China;The Beijing Key Laboratory of Wetland Ecological Function and Restoration, Beijing 100091, China;Beijing Hanshiqiao National Wetland Ecosystem Research Station, Beijing 101399, China,Institute of Wetland Research, Chinese Academy of Forestry, Beijing 100091, China;The Beijing Key Laboratory of Wetland Ecological Function and Restoration, Beijing 100091, China;Beijing Hanshiqiao National Wetland Ecosystem Research Station, Beijing 101399, China and Institute of Wetland Research, Chinese Academy of Forestry, Beijing 100091, China;The Beijing Key Laboratory of Wetland Ecological Function and Restoration, Beijing 100091, China;Beijing Hanshiqiao National Wetland Ecosystem Research Station, Beijing 101399, China |
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| Abstract: | Employing high-throughput sequencing as the method, this study analyzed the relationship between the water environment and the microbial community structure in the surface-flow constructed wetland. The results showed that: the mean Shannon-Wiener index was 6.57 and there were mainly 18 categories in the microbial community, including Proteobacterice (38.97%), Bacteroidetes (15.63%) etc. Of these, the total content of 22 genera was over 1%. The microbial biodiversity showed an increasing trend at the beginning and then turned to a decreasing trend in the flowing direction. The results also revealed that pH, ORP, NH4+-N, NO2--N and TN acted as important restricting factors for the microbial community. |
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| Keywords: | surface-flow constructed wetlands microbial community water environment nitrogen high-throughput sequencing |
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