首页 | 本学科首页   官方微博 | 高级检索  
     检索      

北海湖微生物群落结构随季节变化特征
引用本文:张雅洁,李珂,朱浩然,张洪勋.北海湖微生物群落结构随季节变化特征[J].环境科学,2017,38(8):3319-3329.
作者姓名:张雅洁  李珂  朱浩然  张洪勋
作者单位:中国科学院大学资源与环境学院, 北京 101408,中国科学院大学资源与环境学院, 北京 101408;华北水利水电大学水务研究院, 郑州 450045,中国科学院大学资源与环境学院, 北京 101408,中国科学院大学资源与环境学院, 北京 101408
基金项目:中国科学院重点布署项目(KZZ-EW-09-01)
摘    要:分别于夏季、秋季、冬季和春季采集北海湖水样,进行水质和微生物群落结构分析.水质分析表明,夏季和秋季的水质较冬季和春季差,其中TN和TP是影响水质的最重要因素.通过Mi Seq高通量测序分析微生物群落结构表明:蓝细菌门(Cyanobacteria)、变形菌门(Proteobacteria)、放线菌门(Actinobacteria)和拟杆菌门(Bacteroidetes)是湖水中的优势门,但在不同季节的分布不同.夏季和秋季微生物的多样性高,蓝细菌门(Cyanobacteria)是第一优势菌门(32.7%~43.2%),其中聚球藻属(Synechococcus)是优势蓝细菌.冬季变形菌门(Proteobacteria)的含量相对丰富,占细菌群落的34.8%~40.4%.而春季,放线菌门(Actinobacteria)和拟杆菌门(Bacteroidetes)的含量增加,两者之和占细菌群落的51.5%~64.3%.RDA(redundancy analysis)分析表明,水温是影响北海湖微生物群落结构的最主要环境因子.总体而言,北海湖水质符合景观水的标准,但夏季聚球藻属(Synechococcus)的大量繁殖使北海湖发生水华的风险增加,因此要加强对北海湖水质检测和管理.

关 键 词:北海湖  高通量测序  微生物  群落结构  环境因子  水质评估
收稿时间:2016/12/29 0:00:00
修稿时间:2017/3/13 0:00:00

Community Structure of Microorganisms and Its Seasonal Variation in Beihai Lake
ZHANG Ya-jie,LI Ke,ZHU Hao-ran and ZHANG Hong-xun.Community Structure of Microorganisms and Its Seasonal Variation in Beihai Lake[J].Chinese Journal of Environmental Science,2017,38(8):3319-3329.
Authors:ZHANG Ya-jie  LI Ke  ZHU Hao-ran and ZHANG Hong-xun
Institution:College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 101408, China,College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 101408, China;Water Affairs Research Institute, North China University of Water Resources and Electric Power, Zhengzhou 450045, China,College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 101408, China and College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 101408, China
Abstract:Water samples were collected in summer, autumn, winter, and spring in Beihai Lake for the analysis of water quality and microbial community structure. It was found that the water quality in summer and autumn was worse than in winter and spring, and TN and TP were the most important factors affecting the water quality. The microbial community structure was investigated using MiSeq high-throughput sequencing. It was found that the phyla Cyanobacteria, Proteobacteria, Actinobacteria, and Bacteroidetes were abundant in all the samples, whereas their relative abundances differed among the four seasons. In summer and autumn, the microbial diversities were higher, and the phylum Cyanobacteria was most abundant, with the genus Synechococcus dominant. In winter, the phylum Proteobacteria was dominant. In spring, Actinobacteria and Bacteroidetes were abundant, accounting for 51.5%-64.3% of the bacterial community. The redundancy analysis (RDA) results showed that the microbial communities were mostly affected by water temperature in Beihai Lake. Overall, the water quality of Beihai Lake was qualified for the use of landscape water. However, the abundance of Synechococcus in summer may lead to algal blooms. Thus, it is necessary to strengthen the monitoring and estimation of water quality in Beihai Lake.
Keywords:Beihai Lake  high-throughput sequencing  microorganisms  community structure  environmental factors  water quality assessment
本文献已被 CNKI 等数据库收录!
点击此处可从《环境科学》浏览原始摘要信息
点击此处可从《环境科学》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号