Caballeronia sp. DA-9基因分析揭示其在谷胱甘肽代谢中的作用

IF 1.5 4区生物学 Q4 GENETICS & HEREDITY

Marine genomics Pub Date : 2025-08-28 DOI:10.1016/j.margen.2025.101214

Jun Li , Kun Liang , Ya Ma , Nan Zhang

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引用次数: 0

摘要

谷胱甘肽（GSH）是一种众所周知的由谷氨酸、半胱氨酸和甘氨酸组成的三肽。它在维持细胞氧化还原稳态、细胞周期调节、细胞凋亡、免疫防御和病理异常中起着至关重要的作用。从威德尔海沉积物中分离出革兰氏阴性需氧菌Caballeronia sp. DA-9。本文报道了菌株DA-9的全基因组序列及其合成和分解谷胱甘肽的基因组特征。菌株DA-9的基因组包含3条环状染色体和2个质粒。基因组分析表明，菌株DA-9含有一组与谷胱甘肽代谢相关的基因，表明其具有合成和分解谷胱甘肽的潜在能力。这项研究为海洋微生物的谷胱甘肽代谢提供了新的见解。

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Genomic analysis of Caballeronia sp. DA-9 reveals its role in glutathione metabolism

Glutathione (GSH) is a well-known tripeptide composed of glutamic acid, cysteine and glycine. It plays critical roles in maintaining the redox homeostasis of cells and in cell cycle regulation, apoptosis, immunological defense, and pathological abnormalities. Caballeronia sp. DA-9, a Gram-negative and aerobic bacterium, was isolated from the sediment collected from the Weddell Sea. Here, we report the complete genome sequence of strain DA-9 and its genomic characteristics to synthesize and catabolize GSH. The genome of strain DA-9 contains three circular chromosomes and two plasmids. Genomic analysis showed that strain DA-9 contained a set of genes involved in GSH metabolism, indicating that it possesses the potential ability to synthesize and catabolize GSH. This study provides novel insights into GSH metabolism by marine microorganisms.

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来源期刊

Marine genomics 生物-遗传学

CiteScore

3.60

自引率

5.30%

发文量

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.