| 宁波三江口水域原核生物群落结构分析 |
| 摘要点击 2477 全文点击 961 投稿时间：2014-12-12 修订日期：2015-02-02 |
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| 中文关键词 甬江流域 原核生物群落 16S rRNA基因-Illumina Miseq测序 污染指示菌 潜在病原菌 生物信息分析 |
| 英文关键词 Yongjiang River Watershed prokaryotic community 16S rRNA gene based-Illumina Miseq sequencing pollution indicator bacteria potential pathogenic bacteria bioinformatics analysis |
| 作者 | 单位 | E-mail | | 胡安谊 | 中国科学院城市环境研究所, 城市污染物转化重点实验室, 厦门 361021
中国科学院宁波城市环境观测研究站, 宁波 315800 | ayhu@iue.ac.cn | | 李姜维 | 中国科学院城市环境研究所, 城市污染物转化重点实验室, 厦门 361021
中国科学院宁波城市环境观测研究站, 宁波 315800 | | | 杨晓永 | 中国科学院城市环境研究所, 城市污染物转化重点实验室, 厦门 361021
中国科学院宁波城市环境观测研究站, 宁波 315800 | | | 王弘杰 | 中国科学院城市环境研究所, 城市污染物转化重点实验室, 厦门 361021
中国科学院宁波城市环境观测研究站, 宁波 315800
中国科学院大学, 北京 100049 | | | 于昌平 | 中国科学院城市环境研究所, 城市污染物转化重点实验室, 厦门 361021
中国科学院宁波城市环境观测研究站, 宁波 315800 | |
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| 中文摘要 |
| 首次应用16S rRNA基因-Illumina Miseq高通量测序技术对甬江流域宁波三江口区域的表层水体原核生物群落进行了分析,共获得215504条高质量序列. 多样性指数分析表明,该流域的水体原核生物群落具有较高的遗传多样性和丰富度. 菌群分类分析发现,β-变形菌纲(β-Proteobacterium)、放线菌门(Actinobacteria)和拟杆菌门(Bacteroidetes)是主要的优势菌群,其相对丰度占总群落的78.88%. 对比不同站位的原核生物群落,发现水文环境可能是影响三江口水域原核生物群落组成和结构的重要因素之一. 与以往报道对比分析表明,甬江流域分布有多种污水和粪便污染指示菌,其中余姚江污染指示菌的丰度最高,说明其受污染的风险可能较高. 病原菌BLASTN分析表明,在种和亚种水平上,分别检出76和18种潜在病原菌,占序列总量的2.19%和0.40%. 本研究为系统认识甬江流域原核生物群落结构及生态功能提供了重要基础数据. |
| 英文摘要 |
| The prokaryotic community structure in river waters of the Ningbo Sanjiang Mouth was analyzed for the first time using 16S rRNA gene based-Illumina Miseq high-throughput sequencing. A total of 215504 high-quality sequences were obtained, and the results of alpha-diversity analysis revealed that Yongjiang River Watershed (YRW) harbored high diversity and richness of prokaryotic communities. Taxonomic assignment analysis indicated that β-Proteobacterium, Actinobacteria and Bacteroidetes dominated in the river water of YRW, and accounted for 78.88% of the total prokaryotic communities. Hydrological condition may play an important role in influencing the composition and structure of YRW prokaryotic community. In addition, several kinds of sewer- and fecal-pollution indicator bacterial groups were observed in this area with the highest abundance of pollution indicator bacteria occurring in the water sample of Yuyao River, implying that the Yuyao River might have a high potential risk of sewer- and fecal-pollution. Moreover, a total of 76 species and 18 subspecies of potential pathogenic bacteria, which accounted for 2.19% and 0.40% of total sequences respectively, were identified using BLASTN analysis with a local pathogenic bacteria database. Overall, this study provided an important basic data for shedding light on the structure and ecological function of YRW prokaryotic community. |
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