The complete genome sequence of Stenotrophomonas sp. P2112 for genome mining of polyvinyl chloride degrading enzymes

IF 1.3 4区生物学 Q4 GENETICS & HEREDITY

Marine genomics Pub Date : 2024-11-20 DOI:10.1016/j.margen.2024.101161

Meixue Pan , Wenbin Guo , Jingjing Duan

引用次数: 0

Abstract

Stenotrophomonas sp. P2112, isolated from a marine sediment sample of the Pacific Ocean, can grow in mineral medium with polyvinyl chloride (PVC) plastic as sole carbon source. Here, we present the complete genome of Stenotrophomonas sp. P2112, which will facilitate the genome mining of PVC degrading enzymes. The total length of the sequenced genome consists of 4,382,508 bases, with mean G + C content of 66.61%. A total of 4024 coding genes including 73 tRNAs and 13 rRNAs were predicted in the genome. Some potential PVC degrading enzymes including monooxygenase and peroxidases were found in this genome.

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用于聚氯乙烯降解酶基因组挖掘的 P2112 菌株的完整基因组序列

从太平洋的海洋沉积物样本中分离出的P2112血吸单胞菌能够在以聚氯乙烯（PVC）塑料为唯一碳源的矿物培养基中生长。在此，我们展示了 P2112 链霉菌的完整基因组，这将有助于对 PVC 降解酶基因组的挖掘。测序的基因组总长度为 4,382,508 碱基，平均 G + C 含量为 66.61%。基因组中共预测了 4024 个编码基因，包括 73 个 tRNA 和 13 个 rRNA。在该基因组中发现了一些潜在的聚氯乙烯降解酶，包括单氧化酶和过氧化物酶。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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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.