| 北海湖微生物群落结构随季节变化特征 |
| 摘要点击 6287 全文点击 1459 投稿时间：2016-12-29 修订日期：2017-03-13 |
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| 中文关键词 北海湖 高通量测序 微生物 群落结构 环境因子 水质评估 |
| 英文关键词 Beihai Lake high-throughput sequencing microorganisms community structure environmental factors water quality assessment |
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| 中文摘要 |
| 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MiSeq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. |
| 英文摘要 |
| 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. |
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