细胞芽孢杆菌sp. BC1816全基因组序列用于聚苯乙烯降解酶的基因组挖掘

IF 1.5 4区生物学 Q4 GENETICS & HEREDITY

Marine genomics Pub Date : 2025-09-20 DOI:10.1016/j.margen.2025.101219

Zhen Zhang , Yanbin Tong , Rongyong Zhang , Wei Bai , Wenbin Guo

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引用次数: 0

摘要

从太平洋海洋沉积物样品中分离出来的胞杆菌sp. BC1816可以在含有聚苯乙烯（PS）塑料作为其唯一碳源的矿物介质中繁殖。在此，我们提出了胞杆菌sp. BC1816的完整基因组，这将有助于PS降解酶的基因组挖掘。测序的基因组平均G + C含量为41.43%，总长度为5,343,034个碱基核苷酸。预计该基因组包含5367个编码基因，其中包括107个trna和36个rnas。该基因组包含几种假定的ps降解酶，如过氧化物酶和细胞色素p450。

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Complete genome sequence of Cytobacillus sp. BC1816 for genome mining of polystyrene degrading enzymes

Isolated from a Pacific Ocean marine sediment sample, Cytobacillus sp. BC1816 may thrive in mineral media that contains polystyrene (PS) plastic as its only carbon source. Here, we present the complete genome of Cytobacillus sp. BC1816, which will facilitate the genome mining of PS degrading enzymes. The sequenced genome has a mean G + C content of 41.43 % and a total length of 5,343,034 base nucleotides. The genome was predicted to include 5367 coding genes, including 107 tRNAs and 36 rRNAs. This genome contained several putative PS-degrading enzymes, such as peroxidases and cytochrome P450s.

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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.