对 Hortaea werneckii M-3 进行全基因组测序以确定聚酯聚氨酯降解酶

IF 1.3 4区生物学 Q4 GENETICS & HEREDITY

Marine genomics Pub Date : 2024-05-02 DOI:10.1016/j.margen.2024.101111

Minghuang Ling , Kai Zhang , Juan Hu , Xiaomei Huang , Gaili Fan , Hans-Peter Grossart , Zhuhua Luo

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引用次数: 0

摘要

Hortaea werneckii M-3 是一种从西太平洋海洋沉积物中分离出来的黑色酵母菌，可以利用聚酯聚氨酯（PU，Impranil DLN）作为唯一的碳源。在此，我们展示了 Hortaea werneckii M-3 的完整基因组，重点介绍聚氨酯降解酶。基因组总大小为 38,167,921 bp，由 186 个等位基因组成，N50 长度为 651,266 bp，GC 含量为 53.06%。基因组注释分析预测共有 13,462 个编码基因，其中包括 99 个 tRNA 和 105 个 rRNA。在该基因组中发现了一些编码 PU 降解酶的基因，包括角质酶和尿素酶。Hortaea werneckii M-3 的基因组分析有助于进一步了解海洋酵母菌降解聚酯聚氨酯的机制。

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Complete genome sequencing of Hortaea werneckii M-3 for identifying polyester polyurethane degrading enzymes

Hortaea werneckii M-3, a black yeast isolated from the marine sediment of the West Pacific, can utilize polyester polyurethane (PU, Impranil DLN) as a sole carbon source. Here, we present the complete genome of Hortaea werneckii M-3 with the focus on PU degradation enzymes. The total genome size is 38,167,921 bp, consisting of 186 contigs with a N50 length of 651,266 bp and a GC content of 53.06%. Genome annotation analysis predicts a total of 13,462 coding genes, which include 99 tRNAs and 105 rRNAs. Some genes encoding PU degrading enzymes including cutinase and urease are identified in this genome. The genome analysis of Hortaea werneckii M-3 will be helpful for further understanding the degradation mechanism of polyester PU by marine yeasts.

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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.