Liyan Liu , Hai Shi , Zihua Guo , Xiaotong Zhang , Xueqi Li , Xiao-Hua Zhang , Yunhui Zhang
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引用次数: 0
Abstract
Dimethylsulfide (DMS) is a volatile organic compound that influences climate change and plays a key role in the global sulfur cycle and chemotaxis. Marine bacteria can produce DMS from dimethylsulfoniopropionate (DMSP) and other sulfur precursors. A highly efficient DMS-producing strain, Marinobacter flavimaris ZYH30, was isolated from the surface sediment of the South China Sea, but the key genes involved in DMS production in its genome remain unknown. Here, we reported the complete genome sequence of M. flavimaris ZYH30 and its genomic potential in DMS cycling. The genome of M. flavimaris ZYH30 consists of a circular chromosome with a length of 4,631,282 bp and its GC content is 57.26 %. Genomic analysis showed that strain ZYH30 possesses a set of genes involved in DMS cycling, including a DMSP lyase DddL. In addition, M. flavimaris ZYH30 contained a mddH gene involved in hydrogen sulfide (H2S) and methanethiol (MeSH) dependent DMS production pathways. This study provides genetic insights into the DMS production processes and sulfur cycling in marine sediment bacteria.
期刊介绍:
The journal publishes papers on all functional and evolutionary aspects of genes, chromatin, chromosomes and (meta)genomes of marine (and freshwater) organisms. It deals with new genome-enabled insights into the broader framework of environmental science. Topics within the scope of this journal include:
• Population genomics and ecology
• Evolutionary and developmental genomics
• Comparative genomics
• Metagenomics
• Environmental genomics
• Systems biology
More specific topics include: geographic and phylogenomic characterization of aquatic organisms, metabolic capacities and pathways of organisms and communities, biogeochemical cycles, genomics and integrative approaches applied to microbial ecology including (meta)transcriptomics and (meta)proteomics, tracking of infectious diseases, environmental stress, global climate change and ecosystem modelling.