产河豚毒素的不动杆菌sp. P1332的全基因组序列

IF 1.3 4区 生物学 Q4 GENETICS & HEREDITY
Liyun Liang , Songyang Li , Zengpeng Li , Mingliang Chen
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引用次数: 0

摘要

从福建东南沿海的河豚中分离到一株新型不动杆菌sp. P1332。该菌株已被确定为神经毒素河豚毒素(TTX)的有效生产者。在这项研究中,我们提出了不动杆菌sp. P1332的全基因组序列,这是确定TTX生物合成相关遗传因素的重要进展。该基因组跨越4,017,868个碱基对,平均G + C含量为41.3%。它编码3944个基因,以及90个trna和21个rrna。这些详细的基因组信息为进一步研究TTX的生物合成途径及其在生物技术和毒理学中的应用提供了重要的资源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The complete genome sequence of Acinetobacter sp. P1332, a tetrodotoxin-producing bacteria
We isolated a novel bacterial strain Acinetobacter sp. P1332 from the pufferfish Takifugu oblongus in the southeastern coast of Fujian Province, China. This strain has been identified as a potent producer of the neurotoxin tetrodotoxin (TTX). In this study, we present the complete genome sequence of Acinetobacter sp. P1332, which is a crucial advancement in identifying the genetic factors involved in TTX biosynthesis. The genome spans 4,017,868 base pairs and has a mean G + C content of 41.3 %. It encodes 3944 genes, along with 90 tRNAs and 21 rRNAs. This detailed genomic information provides an essential resource for further research into the biosynthetic pathways of TTX and its applications in biotechnology and toxinology.
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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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