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A Deep-Sea Bacterium Senses Blue Light via a BLUF-Dependent Pathway
Shan, Yeqi1,2,3,4,5,6; Liu, Ge1,2,3,4,6; Cai, Ruining1,2,3,4,5,6; Liu, Rui1,2,3,4,6; Zheng, Rikuan1,2,3,4,6; Sun, Chaomin1,2,3,4,5,6
2022
发表期刊MSYSTEMS
ISSN2379-5077
卷号7期号:1页码:15
通讯作者Sun, Chaomin(sunchaomin@qdio.ac.cn)
摘要Light is a ubiquitous energy source and environmental signal that broadly impacts the lifestyle of a large number of photosynthetic/nonphotosynthetic microorganisms living in the euphotic layer. However, the responses of deep-sea microbes to light are largely unknown, even though blue light is proposed to be distributed in the deep ocean. Here, we successfully cultured a novel bacterial species, named Spongiibacter nanhainus CSC3.9, from deep-sea cold seep samples by a blue light induction approach. The growth of strain CSC3.9 was obviously promoted by the illumination of blue light. We next determined BLUF (a typical blue light photo-receptor) was the most essential factor directing light sensing of strain CSC3.9 through a combined proteomic and genetic method. The function of light sensing mediated by BLUF was further confirmed by the in vitro-synthesized protein. Notably, homologs of BLUF widely existed across the marine microorganisms (containing Spongiibacter species) derived from different environments, including cold seeps. This strongly indicates that the distribution of light utilization by the nonphototrophic bacteria living in the ocean is broad and has been substantially underestimated. IMPORTANCE Extensive studies have been conducted to explore the mechanisms of light sensing and utilization by microorganisms that live in the photic zone. Strikingly, accumulated evidence shows that light is distributed in the deep biosphere. However, the existence and process of light sensing and utilization by microbes inhabiting the deep ocean have been seldom reported. In the present study, a novel bacterial strain, Spongiibacter nanhainus CSC3.9, was enriched and purified from a deep-sea cold seep sample through a blue light induction method. Combined with genomic, proteomic, genetic, and biochemical approaches, the mechanism of this novel strain sensing blue light through a BLUF-dependent pathway was detailed. Our study provides a good model to study the mechanisms of light sensing mediated by deep-sea nonphototrophic bacteria.
关键词deep sea nonphotosynthetic bacterium blue light BLUF light sensing
收录类别SCI
语种英语
资助项目Strategic Priority Research Program of the Chinese Academy of Sciences[XDA22050301] ; China Ocean Mineral Resources R&D Association Grant[DY135-B2-14] ; Major Research Plan of the National Natural Science Foundation[92051107] ; Key Deployment Projects of Center of OceanMega-Science of the Chinese Academy of Sciences[COMS2020Q04] ; National Key R and D Program of China[2018YFC0310800] ; Taishan Young Scholar Program of Shandong Province[tsqn20161051]
WOS研究方向Microbiology
WOS类目Microbiology
WOS记录号WOS:000760939200011
出版者AMER SOC MICROBIOLOGY
引用统计
被引频次:5[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.qdio.ac.cn/handle/337002/178216
专题实验海洋生物学重点实验室
深海极端环境与生命过程研究中心
通讯作者Sun, Chaomin
作者单位1.Chinese Acad Sci, Inst Oceanol, CAS, Qingdao, Peoples R China
2.Chinese Acad Sci, Inst Oceanol, Shandong Prov Key Lab Marine Biol, Qingdao, Peoples R China
3.Chinese Acad Sci, Inst Oceanol, Ctr Deep Sea Res, Qingdao, Peoples R China
4.Qingdao Natl Lab Marine Sci & Technol, Lab Marine Biol & Biotechnol, Qingdao, Peoples R China
5.Univ Chinese Acad Sci, Coll Earth Sci, Beijing, Peoples R China
6.Chinese Acad Sci, Ctr Ocean Megasci, Qingdao, Peoples R China
第一作者单位中国科学院海洋研究所;  深海极端环境与生命过程研究中心;  中国科学院海洋大科学研究中心
通讯作者单位中国科学院海洋研究所;  深海极端环境与生命过程研究中心;  中国科学院海洋大科学研究中心
推荐引用方式
GB/T 7714
Shan, Yeqi,Liu, Ge,Cai, Ruining,et al. A Deep-Sea Bacterium Senses Blue Light via a BLUF-Dependent Pathway[J]. MSYSTEMS,2022,7(1):15.
APA Shan, Yeqi,Liu, Ge,Cai, Ruining,Liu, Rui,Zheng, Rikuan,&Sun, Chaomin.(2022).A Deep-Sea Bacterium Senses Blue Light via a BLUF-Dependent Pathway.MSYSTEMS,7(1),15.
MLA Shan, Yeqi,et al."A Deep-Sea Bacterium Senses Blue Light via a BLUF-Dependent Pathway".MSYSTEMS 7.1(2022):15.
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