SCSIO OpenIR  > 中科院海洋生物资源可持续利用重点实验室
Spatial variability of cyanobacterial community composition in Sanya Bay as determined by DGGE fingerprinting and multivariate analysis
[Ling Juan; Zhang YanYing; Dong JunDe; Huang Hui; Chen Lei; Huang XiaoFang; Long LiJuan; Zhang Si] Chinese Acad Sci, South China Sea Inst Oceanol, Key Lab Marine Bioresourses Sustainable Utilizat, Guangzhou 510301, Guangdong, Peoples R China; Wang YouShao] Chinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Oceanog, Guangzhou 510301, Guangdong, Peoples R China; Huang XiaoFang] Chinese Acad Sci, Natl Expt Stn Trop Marine Biol, Sanya 572000, Peoples R China; Huang XiaoFang] Chinese Acad Sci, Grad Univ, Beijing 100049, Peoples R China; dongjunde@vip.163.com
2013
Source PublicationCHINESE SCIENCE BULLETIN
ISSN1001-6538
Volume58Issue:9Pages:1019-1027
AbstractThe cyanobacterial communities in the surface and bottom waters of Sanya Bay were investigated on April 24 and 25, 2010. Flow cytometry showed that the total cyanobacterial abundance in the surface and bottom layers ranged from 0.7x10(4) to 2.38x10(4) cells mL(-1) and from 1x10(4) to 1.8x10(4) cells mL(-1), respectively. Cyanobacterial diversity was analyzed using a molecular fingerprinting technique called denaturing gradient gel electrophoresis (DGGE), followed by DNA sequencing. The results were then interpreted through multivariate statistical analysis. Differences in the compositions of cyanobacterial communities were observed in the surface and bottom waters at the same station, with some bands obtained from both the surface and bottom layers, whereas some bands were present only in one layer. The predominant cyanobacterial species of the excised DGGE bands were related to Synechococcus or Synechococcus-like species (56.2%). Other phylogenetic groups identified included Chroococcidiopsis (6.3%), Cyanobium (6.3%) and some unclassified cyanobacteria (31.2%). A redundancy analysis (RDA) was conducted to reveal the relationships between the cyanobacterial community composition and environmental factors. Analysis results showed that the spatial variations in the cyanobacterial community composition in surface waters was significantly related to chlorophyll a (Chla), the biochemical oxygen demand (BOD), nitrate and phosphate (P < 0.05). Meanwhile, the spatial variations in the bottom waters was significantly affected by nitrate, nitrite, and phosphate (P < 0.05). Environmental parameters could explain 99.3% and 58.3% of the variations in the surface and bottom layers, respectively.
DepartmentLMB
KeywordCyanobacterial Community Composition Pcr-dgge Synechococcus Redundancy Analysis
Subject AreaMultidisciplinary Sciences
Funding OrganizationThe authors thank all the staff of Hainan Tropical Marine Biology Research Station of the Chinese Academy of Sciences for providing support with the Sample collecting and data processing. This work was supported by the National Science and Technology Supporting Program (2009BAB44B03), the National High-tech R&D Program of China (2012AA092104), the National Natural Science Foundation of China (40776069, 40676091 and 41006069), and the National Basic Research Program of China (2010CB833800), the Knowledge Innovation Program of Chinese Academy of Sciences (KSCX2-EW-G-12), the Sanya Station Database and the Information System of CERN. ; The authors thank all the staff of Hainan Tropical Marine Biology Research Station of the Chinese Academy of Sciences for providing support with the Sample collecting and data processing. This work was supported by the National Science and Technology Supporting Program (2009BAB44B03), the National High-tech R&D Program of China (2012AA092104), the National Natural Science Foundation of China (40776069, 40676091 and 41006069), and the National Basic Research Program of China (2010CB833800), the Knowledge Innovation Program of Chinese Academy of Sciences (KSCX2-EW-G-12), the Sanya Station Database and the Information System of CERN. ; The authors thank all the staff of Hainan Tropical Marine Biology Research Station of the Chinese Academy of Sciences for providing support with the Sample collecting and data processing. This work was supported by the National Science and Technology Supporting Program (2009BAB44B03), the National High-tech R&D Program of China (2012AA092104), the National Natural Science Foundation of China (40776069, 40676091 and 41006069), and the National Basic Research Program of China (2010CB833800), the Knowledge Innovation Program of Chinese Academy of Sciences (KSCX2-EW-G-12), the Sanya Station Database and the Information System of CERN. ; The authors thank all the staff of Hainan Tropical Marine Biology Research Station of the Chinese Academy of Sciences for providing support with the Sample collecting and data processing. This work was supported by the National Science and Technology Supporting Program (2009BAB44B03), the National High-tech R&D Program of China (2012AA092104), the National Natural Science Foundation of China (40776069, 40676091 and 41006069), and the National Basic Research Program of China (2010CB833800), the Knowledge Innovation Program of Chinese Academy of Sciences (KSCX2-EW-G-12), the Sanya Station Database and the Information System of CERN.
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Language英语
Funding OrganizationThe authors thank all the staff of Hainan Tropical Marine Biology Research Station of the Chinese Academy of Sciences for providing support with the Sample collecting and data processing. This work was supported by the National Science and Technology Supporting Program (2009BAB44B03), the National High-tech R&D Program of China (2012AA092104), the National Natural Science Foundation of China (40776069, 40676091 and 41006069), and the National Basic Research Program of China (2010CB833800), the Knowledge Innovation Program of Chinese Academy of Sciences (KSCX2-EW-G-12), the Sanya Station Database and the Information System of CERN. ; The authors thank all the staff of Hainan Tropical Marine Biology Research Station of the Chinese Academy of Sciences for providing support with the Sample collecting and data processing. This work was supported by the National Science and Technology Supporting Program (2009BAB44B03), the National High-tech R&D Program of China (2012AA092104), the National Natural Science Foundation of China (40776069, 40676091 and 41006069), and the National Basic Research Program of China (2010CB833800), the Knowledge Innovation Program of Chinese Academy of Sciences (KSCX2-EW-G-12), the Sanya Station Database and the Information System of CERN. ; The authors thank all the staff of Hainan Tropical Marine Biology Research Station of the Chinese Academy of Sciences for providing support with the Sample collecting and data processing. This work was supported by the National Science and Technology Supporting Program (2009BAB44B03), the National High-tech R&D Program of China (2012AA092104), the National Natural Science Foundation of China (40776069, 40676091 and 41006069), and the National Basic Research Program of China (2010CB833800), the Knowledge Innovation Program of Chinese Academy of Sciences (KSCX2-EW-G-12), the Sanya Station Database and the Information System of CERN. ; The authors thank all the staff of Hainan Tropical Marine Biology Research Station of the Chinese Academy of Sciences for providing support with the Sample collecting and data processing. This work was supported by the National Science and Technology Supporting Program (2009BAB44B03), the National High-tech R&D Program of China (2012AA092104), the National Natural Science Foundation of China (40776069, 40676091 and 41006069), and the National Basic Research Program of China (2010CB833800), the Knowledge Innovation Program of Chinese Academy of Sciences (KSCX2-EW-G-12), the Sanya Station Database and the Information System of CERN.
WOS IDWOS:000316219500010
Citation statistics
Cited Times:3[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.scsio.ac.cn/handle/344004/11061
Collection中科院海洋生物资源可持续利用重点实验室
Corresponding Authordongjunde@vip.163.com
Recommended Citation
GB/T 7714
[Ling Juan,Zhang YanYing,Dong JunDe,et al. Spatial variability of cyanobacterial community composition in Sanya Bay as determined by DGGE fingerprinting and multivariate analysis[J]. CHINESE SCIENCE BULLETIN,2013,58(9):1019-1027.
APA [Ling Juan.,Zhang YanYing.,Dong JunDe.,Huang Hui.,Chen Lei.,...&dongjunde@vip.163.com.(2013).Spatial variability of cyanobacterial community composition in Sanya Bay as determined by DGGE fingerprinting and multivariate analysis.CHINESE SCIENCE BULLETIN,58(9),1019-1027.
MLA [Ling Juan,et al."Spatial variability of cyanobacterial community composition in Sanya Bay as determined by DGGE fingerprinting and multivariate analysis".CHINESE SCIENCE BULLETIN 58.9(2013):1019-1027.
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