Microbial ecological associations in the surface sediments of Bohai Strait

Bin WANG; Hongmei LIU; Haitian TANG; Xiaoke HU

doi:10.1007/s00343-018-6289-4

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Microbial ecological associations in the surface sediments of Bohai Strait

Ecology | Updated：2023-05-19

- Microbial ecological associations in the surface sediments of Bohai Strait
- Chinese Journal of Oceanology and Limnology Vol. 36, Issue 3, Pages: 795-804(2018)
- Affiliations：
  
  1.Key Laboratory of Coastal Biology and Bioresource Utilization, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China
  2.University of Chinese Academy of Sciences, Beijing 100049, China
  3.School of Ocean, Yantai University, Yantai 264003, China
  4.Yantai Marine Environment Monitoring Central Station of Oceanic Administration, Yantai 264006, China
- Author bio：
  
  HU Xiaoke, xkhu@yic.ac.cn
- Funds：
- DOI：10.1007/s00343-018-6289-4
  CLC：
- Received：07 November 2016，
  
  Accepted：07 February 2017，
  
  Online First：03 March 2017，
  
  Published：2018-05
- Accepted：
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Bin WANG, Hongmei LIU, Haitian TANG, et al. Microbial ecological associations in the surface sediments of Bohai Strait[J]. Chinese Journal of Oceanology and Limnology, 2018, 36(3): 795-804.
DOI：

Bin WANG, Hongmei LIU, Haitian TANG, et al. Microbial ecological associations in the surface sediments of Bohai Strait[J]. Chinese Journal of Oceanology and Limnology, 2018, 36(3): 795-804. DOI： 10.1007/s00343-018-6289-4.

摘要

Abstract

Microbial communities play key roles in the marine ecosystem. Despite a few studies on marine microbial communities in deep straits

ecological associations among microbial communities in the sediments of shallow straits have not been fully investigated. The Bohai Strait in northern China (average depth less than 20 m) separates the Bohai Sea from the Yellow Sea and has organic-rich sediments. In this study

in the summer of 2014

six stations across the strait were selected to explore the taxonomic composition of microbial communities and their ecological associations. The four most abundant classes were Gammaproteobacteria

Deltaproteobacteria

Bacilli and Flavobacteriia. Temperature

total carbon

depth

nitrate

fishery breeding and cold water masses influenced the microbial communities

as suggested by representational difference and composition analyses. Network analysis of microbial associations revealed that key families included Flavobacteriaceae

Pirellulaceae and Piscirickettsiaceae. Our findings suggest that the families with high phylogenetic diversity are key populations in the microbial association network that ensure the stability of microbial ecosystems. Our study contributes to a better understanding of microbial ecology in complex hydrological environments.

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Keywords

references

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