Bacterial diversity and community structure in the East China Sea by 454 sequencing of the 16S rRNA gene

Yi Dong; Yuan Zhao; Wenyan Zhang; Yan Li; Feng Zhou; Chenggang Liu; Ying Wu; Sumei Liu; Wuchang Zhang; Tian Xiao

doi:10.1007/s00343-014-3215-2

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Bacterial diversity and community structure in the East China Sea by 454 sequencing of the 16S rRNA gene

Updated：2023-05-16

- Bacterial diversity and community structure in the East China Sea by 454 sequencing of the 16S rRNA gene
- Journal of Oceanology and Limnology Vol. 32, Issue 3, Pages: 527-541(2014)
- Affiliations：
  
  1. Key Laboratory of Marine Ecology and Environmental Sciences Institute of Oceanology Chinese Academy of Sciences
  2. University of Chinese Academy of Sciences
  3. Energy Research Institute Shandong Academy of Sciences
  4. State Key Laboratory of Satellite Ocean Environment Dynamics Second Institute of Oceanography State Oceanic Administration
  5. Laboratory of Marine Ecosystem and Biogeochemistry Second Institute of Oceanography State Oceanic Administration
  6. State Key Laboratory of Estuarine and Coastal Research East China Normal University
  7. Key Laboratory of Marine Chemistry Theory and Technology Ministry of Education Ocean University of China
- Author bio：
- Funds：
- DOI：10.1007/s00343-014-3215-2
  CLC：
- Online First：04 May 2014，
  
  Published：2014
- Accepted：
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Dong, Y., Zhao, Y., Zhang, W. et al. Bacterial diversity and community structure in the East China Sea by 454 sequencing of the 16S rRNA gene., Chin. J. Ocean. Limnol. 32, 527–541 (2014). https://doi.org/10.1007/s00343-014-3215-2
DOI：

Dong, Y., Zhao, Y., Zhang, W. et al. Bacterial diversity and community structure in the East China Sea by 454 sequencing of the 16S rRNA gene., Chin. J. Ocean. Limnol. 32, 527–541 (2014). https://doi.org/10.1007/s00343-014-3215-2 DOI：

摘要

Abstract

The 454 sequencing method was used to detect bacterial diversity and community structure in the East China Sea. Overall

149 067 optimized reads with an average length of 454 nucleotides were obtained from 17 seawater samples and five sediment samples sourced in May 2011. A total of 22 phyla

34 classes

74 orders

146 families

and 333 genera were identified in this study. Some of them were detected for the first time from the East China Sea. The estimated richness and diversity indices were both higher in the sediment samples compared with in the seawater samples. All the samples were divided by their diversity indices into four regions. Similarity analysis showed that the seawater samples could be classified into six groups. The groups differed from each other and had unique community structure characteristics. It was found that different water masses in the sampling areas may have had some influence on the bacterial community structure. A canonical correspondence analysis revealed that seawater samples in different areas and at different depths were affected by different environmental parameters. This study will lay the foundation for future research on microbiology in the East China Sea.

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