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从淡水湖中宏基因组组装的七个噬菌体基因组的基因组分析和分类学特征

Genomic Analysis and Taxonomic Characterization of Seven Bacteriophage Genomes Metagenomic-Assembled from the Dishui Lake.

机构信息

College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China.

Laboratory for Marine Biology and Biotechnology, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266000, China.

出版信息

Viruses. 2023 Sep 30;15(10):2038. doi: 10.3390/v15102038.

DOI:10.3390/v15102038
PMID:37896815
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10611076/
Abstract

Viruses in aquatic ecosystems exhibit remarkable abundance and diversity. However, scattered studies have been conducted to mine uncultured viruses and identify them taxonomically in lake water. Here, whole genomes (29-173 kbp) of seven uncultured dsDNA bacteriophages were discovered in Dishui Lake, the largest artificial lake in Shanghai. We analyzed their genomic signatures and found a series of viral auxiliary metabolic genes closely associated with protein synthesis and host metabolism. Dishui Lake phages shared more genes with uncultivated environmental viruses than with reference viruses based on the gene-sharing network classification. Phylogeny of proteomes and comparative genomics delineated three new genera within two known viral families of and , and four new families in for these seven novel phages. Their potential hosts appeared to be from the dominant bacterial phyla in Dishui Lake. Altogether, our study provides initial insights into the composition and diversity of bacteriophage communities in Dishui Lake, contributing valuable knowledge to the ongoing research on the roles played by viruses in freshwater ecosystems.

摘要

水生生态系统中的病毒具有显著的丰度和多样性。然而,目前只有少量研究致力于挖掘未培养的病毒并对其进行分类学鉴定。本研究在上海最大的人工湖——滴水湖发现了 7 种未培养的 dsDNA 噬菌体的全基因组(29-173 kbp)。我们分析了它们的基因组特征,发现了一系列与蛋白质合成和宿主代谢密切相关的病毒辅助代谢基因。基于基因共享网络分类,与参考病毒相比,滴水湖噬菌体与未培养的环境病毒共享更多的基因。基于蛋白质组的系统发育和比较基因组学,将这 7 种新型噬菌体划分为 2 个已知病毒科( 和 )中的 3 个新属,以及 4 个新科。它们的潜在宿主似乎来自于滴水湖中占优势的细菌门。总之,本研究初步揭示了滴水湖噬菌体群落的组成和多样性,为正在进行的病毒在淡水生态系统中所扮演的角色的研究提供了有价值的知识。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0488/10611076/48bab3550e56/viruses-15-02038-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0488/10611076/a18dcd73d1ab/viruses-15-02038-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0488/10611076/0b9ac1cf1b9f/viruses-15-02038-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0488/10611076/995379b56617/viruses-15-02038-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0488/10611076/291e7ec40c5e/viruses-15-02038-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0488/10611076/41d7d24f8dd6/viruses-15-02038-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0488/10611076/2d701aa8099f/viruses-15-02038-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0488/10611076/d15d75e5a787/viruses-15-02038-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0488/10611076/0d24b05119f3/viruses-15-02038-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0488/10611076/48bab3550e56/viruses-15-02038-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0488/10611076/a18dcd73d1ab/viruses-15-02038-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0488/10611076/0b9ac1cf1b9f/viruses-15-02038-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0488/10611076/995379b56617/viruses-15-02038-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0488/10611076/291e7ec40c5e/viruses-15-02038-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0488/10611076/41d7d24f8dd6/viruses-15-02038-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0488/10611076/2d701aa8099f/viruses-15-02038-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0488/10611076/d15d75e5a787/viruses-15-02038-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0488/10611076/0d24b05119f3/viruses-15-02038-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0488/10611076/48bab3550e56/viruses-15-02038-g009.jpg

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本文引用的文献

1
iPHoP: An integrated machine learning framework to maximize host prediction for metagenome-derived viruses of archaea and bacteria.iPHoP:一种集成机器学习框架,用于最大化基于宏基因组的古菌和细菌病毒的宿主预测。
PLoS Biol. 2023 Apr 21;21(4):e3002083. doi: 10.1371/journal.pbio.3002083. eCollection 2023 Apr.
2
The conserved domain database in 2023.2023 年的保守域数据库。
Nucleic Acids Res. 2023 Jan 6;51(D1):D384-D388. doi: 10.1093/nar/gkac1096.
3
IMG/VR v4: an expanded database of uncultivated virus genomes within a framework of extensive functional, taxonomic, and ecological metadata.
IMG/VR v4:一个扩展的未培养病毒基因组数据库,其中包含广泛的功能、分类和生态元数据框架。
Nucleic Acids Res. 2023 Jan 6;51(D1):D733-D743. doi: 10.1093/nar/gkac1037.
4
Diverse viruses of marine archaea discovered using metagenomics.利用宏基因组学发现海洋古菌的多种病毒。
Environ Microbiol. 2023 Feb;25(2):367-382. doi: 10.1111/1462-2920.16287. Epub 2022 Nov 24.
5
Viral community-wide auxiliary metabolic genes differ by lifestyles, habitats, and hosts.病毒群体辅助代谢基因因生活方式、栖息地和宿主而异。
Microbiome. 2022 Nov 5;10(1):190. doi: 10.1186/s40168-022-01384-y.
6
Insights into the global freshwater virome.对全球淡水病毒群落的洞察。
Front Microbiol. 2022 Sep 28;13:953500. doi: 10.3389/fmicb.2022.953500. eCollection 2022.
7
A Unique Set of Auxiliary Metabolic Genes Found in an Isolated Cyanophage Sheds New Light on Marine Phage-Host Interactions.一组独特的辅助代谢基因在一种孤立的噬藻体中被发现,为海洋噬菌体-宿主相互作用提供了新的视角。
Microbiol Spectr. 2022 Oct 26;10(5):e0236722. doi: 10.1128/spectrum.02367-22. Epub 2022 Oct 3.
8
Structural characterization of a soil viral auxiliary metabolic gene product - a functional chitosanase.土壤病毒辅助代谢基因产物的结构特征 - 一种功能性壳聚糖酶。
Nat Commun. 2022 Sep 19;13(1):5485. doi: 10.1038/s41467-022-32993-8.
9
Virome analysis in lakes of the South Shetland Islands, Antarctica - 2020.2020年南极南设得兰群岛湖泊的病毒群落分析
Sci Total Environ. 2022 Dec 15;852:158537. doi: 10.1016/j.scitotenv.2022.158537. Epub 2022 Sep 6.
10
Comparative genomic analysis of five freshwater cyanophages and reference-guided metagenomic data mining.五种淡水噬藻体的比较基因组分析和参考指导的宏基因组数据挖掘。
Microbiome. 2022 Aug 17;10(1):128. doi: 10.1186/s40168-022-01324-w.