The complete genome sequence of Shewanella inventionis D1489 reveals its potential for the production of eicosapentaenoic acid

IF 1.5 4区 生物学 Q4 GENETICS & HEREDITY Marine genomics Pub Date : 2022-04-01 DOI:10.1016/j.margen.2022.100932
Jingjing Duan , Wenbin Guo
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引用次数: 1

Abstract

Shewanella inventionis D1489, isolated from a marine sediment sample from the Yap trench, is a psychrophile bacterium with optimal and maximum growth temperatures of 17 °C and 37 °C, respectively. Here, we present the complete genome of Shewanella inventionis D1489, which will facilitate the genome mining of eicosapentaenoic acid (EPA) biosynthesis coding gene cluster. The sequenced genome consists of 4,831,636 bases, with mean G + C content of 42.404%. A total of 4295 coding genes including 97 tRNAs and 25 rRNA were predicted in the genome. The genome provides basic genetic information for the understanding of its adaptation to cold environment.

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希瓦氏菌D1489的全基因组序列揭示了其生产二十碳五烯酸的潜力。
希瓦氏菌D1489是从雅普海沟的海洋沉积物样本中分离出来的一种嗜冷细菌,其最佳和最高生长温度分别为17°C和37°C。本文提出了希瓦氏菌D1489的全基因组,为二十碳五烯酸(EPA)生物合成编码基因簇的基因组挖掘提供了基础。测序后的基因组包含4,831,636个碱基,G + C平均含量为42.404%。在基因组中共预测到4295个编码基因,包括97个trna和25个rRNA。基因组为了解其对寒冷环境的适应提供了基本的遗传信息。
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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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