Genomic analysis of Sulfitobacter sp. PM12 reveals its role in betaine metabolism

IF 1.3 4区 生物学 Q4 GENETICS & HEREDITY
Jun Li , Ya Ma , Ronghua Zhang , Nan Zhang
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引用次数: 0

Abstract

Betaine is a zwitterionic compatible compound, which is widely distributed in nature and can be found in a variety of microorganisms. It plays key roles in osmotic protection and one‑carbon metabolism. Sulfitobacter sp. PM12, a Gram-negative and aerobic bacterium, was isolated from the deep-sea samples collected from the Mariana Trench. Here, we report the complete genome sequence of strain PM12 and its genomic characteristics to synthesize and catabolize betaine. The genome of strain PM12 contains one circular chromosome (3,009,717 bp) and seven circular plasmids. Genomic analysis showed that strain PM12 contained a set of genes involved in betaine biosynthesis and biodegradation, indicating that it possesses the ability to metabolize betaine. This study enlarges our understanding of the betaine metabolism driven by bacteria in the ocean, and reveals the potential strategy of the strain PM12 to adapt the extreme environments of the Mariana Trench.
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来源期刊
Marine genomics
Marine genomics 生物-遗传学
CiteScore
3.60
自引率
5.30%
发文量
50
审稿时长
29 days
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.
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