Spatial variation of bacterial community structure of the Northern South China Sea in relation to water chemistry

被引:17
作者
Ling, Juan [1 ,2 ,3 ]
Dong, Jun-De [2 ,3 ]
Wang, You-Shao [1 ,4 ]
Zhang, Yan-Ying [2 ,3 ]
Deng, Chao [1 ]
Lin, Li [1 ]
Wu, Mei-Lin [1 ]
Sun, Fu-Lin [1 ]
机构
[1] Chinese Acad Sci, State Key Lab Trop Oceanog, S China Sea Inst Oceanol, Guangzhou 510301, Guangdong, Peoples R China
[2] Chinese Acad Sci, S China Sea Inst Oceanol, Key Lab Marine Bioresourses Sustainable Utilizat, Guangzhou 510301, Guangdong, Peoples R China
[3] Chinese Acad Sci, Hainan Trop Marine Biol Stn, Sanya 572000, Peoples R China
[4] Chinese Acad Sci, Daya Bay Marine Biol Res Stn, Shenzhen 518121, Peoples R China
关键词
The Northern South China Sea; Bacterial community structure; Water chemistry; PCR-DGGE; Canonical correspondence analysis; GRADIENT GEL-ELECTROPHORESIS; DAYA BAY; BACTERIOPLANKTON COMPOSITION; STATISTICAL-ANALYSIS; PHYTOPLANKTON; DIVERSITY; DGGE; LIMITATION; DYNAMICS; QUALITY;
D O I
10.1007/s10646-012-0941-0
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Spatial distribution, diversity and composition of bacterial communities of the northern South China Sea (SCS) surface water and the relationship with the in situ environmental chemistry were investigated. Polymerase chain reaction denaturing gradient gel electrophoresis (PCR-DGGE) was used to investigate the bacterial community structure. The DGGE gel showed that each sample harbored a distinct bacterial community structure and spatial variations of bacterial community composition among all samples were obviously. A total of 17 intensive bands were excised and the sequence analysis of these DGGE bands revealed that Proteobacteria were the dominant bacterial group of surface water in the north part of SCS. Results of the taxonomic analysis showed that the communities consisted of Proteobacteria (alpha-subdivision, beta-subdivision, gamma-subdivision), Actinobacteria, Cyanobacteria, Bacteroidetes and Firmicutes. Unweighted pair group method with arithmetic averages clustering of the sampling stations indicated that all stations were classified mainly based on geographical proximity. Canonical correspondence analysis (CCA) was employed to further investigate the relationships between DGGE band pattern and the environmental variables and the first two CCA ordination axes suggested that the structure of the bacterial community was significantly correlated with the variables of nitrate (F = 1.24, P < 0.05).
引用
收藏
页码:1669 / 1679
页数:11
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