宏基因组分析揭示了三种哺乳动物模型中肠道噬菌体的多样性。

IF 13.8 1区生物学 Q1 MICROBIOLOGY

Microbiome Pub Date : 2025-06-20 DOI:10.1186/s40168-025-02144-4

Menghao Yu, Yunmeng Chu, Yongming Wang, Luofei Mo, Xin Tan, Shun Guo, Shengjian Yuan, Yingfei Ma

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引用次数: 0

摘要

背景：肠道病毒在塑造宿主微生物群方面起着关键作用。然而，不同哺乳动物模型中的肠道病毒及其与人类肠道微生物群的关系在很大程度上仍然未知。结果：在小鼠（hcMGV）、猪（hcPGV）和食蟹猴（hcCMGV）的宏基因组中分别鉴定出977个高信度的种级病毒操作分类单位（vOTUs），分别鉴定出12896个和1480个。将这些vOTUs在大约属水平上聚类，发现了在动物肠道中具有高患病率的新分支（> = 60%）。特别是类草噬菌体和含cash巨噬体。对比分析显示，hcCMGV与hcPGV的关系比hcMGV更密切，尽管hcCMGV具有动物特异性的特征，并且55.88%的hcCMGV与人类微生物群有联系。结论：我们的发现揭示了这三种动物肠道病毒的多样性，有助于未来使用模型动物进行肠道微生物研究。视频摘要。

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Metagenomic analysis reveals gut phage diversity across three mammalian models.

Background: The gut virome plays a pivotal role in shaping the host's microbiota. However, gut viruses across different mammalian models, and their connections with the human gut microbiota remain largely unknown.

Results: We identified 977 high-confidence species-level viral operational taxonomic units (vOTUs) in mice (hcMGV), 12,896 in pigs (hcPGV), and 1480 in cynomolgus macaques (hcCMGV) from metagenomes, respectively. Clustering these vOTUs at approximately genus level uncovered novel clades with high prevalence across animal guts (> = 60%). In particular, crAss-like phages and cas-harboring jumbophages were characterized. Comparative analysis revealed that hcCMGV had a closer relationship with hcPGV than hcMGV, despite the animal-specific characteristics, and that 55.88% hcCMGV had connections with the human microbiota.

Conclusions: Our findings shed light on the diversity of gut viruses across these three animals, contributing to future gut microbial studies using model animals. Video Abstract.

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来源期刊

Microbiome MICROBIOLOGY-

CiteScore

21.90

自引率

2.60%

发文量

198

审稿时长

4 weeks

期刊介绍： Microbiome is a journal that focuses on studies of microbiomes in humans, animals, plants, and the environment. It covers both natural and manipulated microbiomes, such as those in agriculture. The journal is interested in research that uses meta-omics approaches or novel bioinformatics tools and emphasizes the community/host interaction and structure-function relationship within the microbiome. Studies that go beyond descriptive omics surveys and include experimental or theoretical approaches will be considered for publication. The journal also encourages research that establishes cause and effect relationships and supports proposed microbiome functions. However, studies of individual microbial isolates/species without exploring their impact on the host or the complex microbiome structures and functions will not be considered for publication. Microbiome is indexed in BIOSIS, Current Contents, DOAJ, Embase, MEDLINE, PubMed, PubMed Central, and Science Citations Index Expanded.