成都假单胞菌BC1815的全基因组序列，用于PET降解酶的基因组挖掘

IF 1.3 4区生物学 Q4 GENETICS & HEREDITY

Marine genomics Pub Date : 2023-02-01 DOI:10.1016/j.margen.2022.101008

Zhengguang Shi , Xue Yu , Jingjing Duan , Wenbin Guo

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引用次数: 2

摘要

从太平洋海洋沉积物样品中分离出的成都假单胞菌BC1815可在以PET塑料为唯一碳源的矿物介质中生长。在此，我们提出了成都假单胞菌BC1815的完整基因组，这将有助于PET降解酶的基因组挖掘。测序的基因组总长度为5,578,440个碱基，平均G + C含量为62.65%。在基因组中共预测到5150个编码基因，包括65个trna和12个rnas。选取了酯酶、脂肪酶和α/β水解酶的13种蛋白作为PET降解酶的候选蛋白，其中8种为膜结合蛋白，其余为分泌蛋白。

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The complete genome sequence of Pseudomonas chengduensis BC1815 for genome mining of PET degrading enzymes

Pseudomonas chengduensis BC1815, isolated from a marine sediment sample of the Pacific Ocean, can grow in mineral medium with PET plastic as sole carbon source. Here, we present the complete genome of Pseudomonas chengduensis BC1815, which will facilitate the genome mining of PET degrading enzymes. The total length of the sequenced genome consists of 5,578,440 bases, with mean G + C content of 62.65%. A total of 5150 coding genes including 65 tRNAs and 12 rRNAs were predicted in the genome. Thirteen proteins of esterase, lipase and α/β hydrolase were taken as candidates for PET degrading enzymes, in which eight were membrane bounded and the others were secretory.

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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.