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题名: Bacterioplankton community resilience to ocean acidification: evidence from microbial network analysis
作者: Wang, Yu; Zhang, Rui; Zheng, Qiang; Deng, Ye; Van Nostrand, Joy D.; Zhou, Jizhong; Jiao, Nianzhi
刊名: ICES JOURNAL OF MARINE SCIENCE
出版日期: 2016-02
卷号: 73, 期号:3, 页码:865-875
关键词: Arctic Ocean ; community structure ; mesocosm experiment ; molecular ecological network ocean acidification
DOI: 10.1093/icesjms/fsv187
部门归属: 中国科学院环境生物技术重点实验室
英文摘要: Ocean acidification (OA), caused by seawater CO2 uptake, has significant impacts on marine calcifying organisms and phototrophs. However, the response of bacterial communities, who play a crucial role in marine biogeochemical cycling, to OA is still not well understood. Previous studies have shown that the diversity and structure of microbial communities change undeterminably with elevated pCO(2). Here, novel phylogenetic molecular ecological networks (pMENs) were employed to investigate the interactions of native bacterial communities in response to OA in the Arctic Ocean through a mesocosm experiment. The pMENs results were in line with the null hypothesis that elevated pCO(2)/pH does not affect biogeochemistry processes. The number of nodes within the pMENs and the connectivity of the bacterial communities were similar, despite increased pCO(2) concentrations. Our results indicate that elevated pCO(2) did not significantly affect microbial community structure and succession in the Arctic Ocean, suggesting bacterioplankton community resilience to elevated pCO(2). The competitive interactions among the native bacterioplankton, as well as the modular community structure, may contribute to this resilience. This pMENs-based investigation of the interactions among microbial community members at different pCO(2) concentrations provides a new insight into our understanding of how OA affects the microbial community.
收录类别: SCI
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内容类型: 期刊论文
URI标识: http://ir.rcees.ac.cn/handle/311016/36099
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Recommended Citation:
Wang, Yu,Zhang, Rui,Zheng, Qiang,et al. Bacterioplankton community resilience to ocean acidification: evidence from microbial network analysis[J]. ICES JOURNAL OF MARINE SCIENCE,2016,73(3):865-875.
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