欢迎访问《生态学杂志》官方网站,今天是 分享到:

生态学杂志

• 研究报告 • 上一篇    下一篇

链状亚历山大藻共附生细菌多样性

刘兵1;李宇2; 叶倩2;李太武1;苏秀榕1;李登峰1;陈燕1;史西志1   

  1. 1宁波大学应用海洋生物技术教育部重点实验室, 浙江宁波 315211;2宁波海事局, 浙江宁波 315020
  • 收稿日期:2008-09-01 修回日期:1900-01-01 出版日期:2009-05-10 发布日期:2009-05-10

Phylogenetic diversity of bacteria associated with dinoflagellate Alexandrium catenella.

LIU Bing1;LI Yu2;YE Qian2;LI Tai-wu1;SU Xiu-rong1;LI Deng-feng1;CHEN Yan1;SHI Xi-zhi1   

  1. 1Key Laboratory of Applied Marine Biotechnology of Ministry of Education, Ningbo University, Ningbo 315211, Zhejiang, China;2Ningbo Maritime Safety Administration, Ningbo 315020, Zhejiang, China
  • Received:2008-09-01 Revised:1900-01-01 Online:2009-05-10 Published:2009-05-10

摘要: 采用非分离培养分析方法,直接提取链状亚历山大藻(Alexandrium catenella)共附生细菌总DNA,以之为模板进行PCR扩增获得细菌16S rDNA基因片段,并构建16S rDNA克隆文库。通过16S rDNA限制性酶切片段长度多态性(restriction fragment length polymorphism,RFLP)和测序方法对链状亚历山大藻共附生细菌的多样性进行了研究。84个16S rDNA克隆片段经限制性内切酶HaeⅢ酶切分析,得到30种不同的酶切指纹类型。挑选50个克隆子进行测序获得其16S rDNA部分序列,并对16S rDNA序列进行聚类分析构建了系统进化树。结果表明,链状亚历山大藻共附生的细菌多样性较强,优势细菌类群为变形菌α亚群(α-Proteobacteria)和拟杆菌(Bacteroidetes),其中玫瑰杆菌(Roseobacter sp.)在α-Proteobacteria中占绝对优势。

关键词: 生态系统, 服务, 价值, 遥感, 测量

Abstract: The phylogenetic diversity of bacteria associated with Alexandrium catenella was studied by 16S rDNA gene sequences. With culture-independent approach, the total bacterial DNA was extracted from A. catenella. 16S rDNA genes were amplified by PCR, and a 16S rDNA clone library was constructed. The phylogenetic diversity of the bacteria was determined by RFLP-16S rDNA sequencing of cloned DNA fragments. A total of 84 cloned 16S rDNA fragments were digested with restriction endonucleases HaeⅢ, and 30 different PFLP types were obtained. Fifty cloned partial sequences were acquired, most of which were related to Proteobacter, and mainly attributed to α-Proteobacteria and Bacteroidetes in the phylogenetic tree. In α-Proteobacteria, Roseobacter sp. was the dominant clade. This study demonstrated the prolific bacterial diversity of A. catenella.

Key words: Ecosystem, Service, Value, Remote sensing, Measurement