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A multiomics approach to study the microbiome response to phytoplankton blooms

文献类型：期刊论文

作者Song, Liyan
刊名APPLIED MICROBIOLOGY AND BIOTECHNOLOGY
出版日期2017-06-01
卷号101期号:12页码:4863-4870
关键词Phytoplankton blooms Bacterial and archaeal communities Interaction A multiomics integration approach
ISSN号0175-7598
DOI10.1007/s00253-017-8330-5
通讯作者Song, LY (reprint author), Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Environm Microbiol & Ecol Res Ctr, Chongqing 400714, Peoples R China.
英文摘要Phytoplankton blooms are predictable features of marine and freshwater habitats. Despite a good knowledge base of the environmental factors controlling blooms, complex interactions between the bacterial and archaeal communities and phytoplankton bloom taxa are only now emerging. Here, the current research on bacterial community's structural and functional response to phytoplankton blooms is reviewed and discussed and further research is proposed. More attention should be paid on structure and function of autotrophic bacteria and archaea during phytoplankton blooms. A multiomics integration approach is needed to investigate bacterial and archaeal communities' diversity, metabolic diversity, and biogeochemical functions of microbial interactions during phytoplankton blooms.
语种英语
WOS记录号WOS:000402712300003
出版者SPRINGER
源URL[http://172.16.51.4:88/handle/2HOD01W0/217]  
专题环境友好化学过程研究中心
通讯作者Song, Liyan
作者单位Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Environm Microbiol & Ecol Res Ctr, Chongqing 400714, Peoples R China
推荐引用方式
GB/T 7714		 Song, Liyan. A multiomics approach to study the microbiome response to phytoplankton blooms[J]. APPLIED MICROBIOLOGY AND BIOTECHNOLOGY,2017,101(12):4863-4870.
APA Song, Liyan.(2017).A multiomics approach to study the microbiome response to phytoplankton blooms.APPLIED MICROBIOLOGY AND BIOTECHNOLOGY,101(12),4863-4870.
MLA Song, Liyan."A multiomics approach to study the microbiome response to phytoplankton blooms".APPLIED MICROBIOLOGY AND BIOTECHNOLOGY 101.12(2017):4863-4870.

入库方式： OAI收割

来源：重庆绿色智能技术研究院

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