Parvovirus dark matter in the cloaca of wild birds.

IF 11.8 2区 生物学 Q1 MULTIDISCIPLINARY SCIENCES GigaScience Pub Date : 2022-12-28 Epub Date: 2023-02-03 DOI:10.1093/gigascience/giad001
Ziyuan Dai, Haoning Wang, Haisheng Wu, Qing Zhang, Likai Ji, Xiaochun Wang, Quan Shen, Shixing Yang, Xiao Ma, Tongling Shan, Wen Zhang
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Abstract

With the development of viral metagenomics and next-generation sequencing technology, more and more novel parvoviruses have been identified in recent years, including even entirely new lineages. The Parvoviridae family includes a different group of viruses that can infect a wide variety of animals. In this study, systematic analysis was performed to identify the "dark matter" (datasets that cannot be easily attributed to known viruses) of parvoviruses and to explore their genetic diversity from wild birds' cloacal swab samples. We have tentatively defined this parvovirus "dark matter" as a highly divergent lineage in the Parvoviridae family. All parvoviruses showed several characteristics, including 2 major protein-coding genes and similar genome lengths. Moreover, we observed that the novel parvo-like viruses share similar genome organizations to most viruses in Parvoviridae but could not clustered with the established subfamilies in phylogenetic analysis. We also found some new members associated with the Bidnaviridae family, which may be derived from parvovirus. This suggests that systematic analysis of domestic and wild animal samples is necessary to explore the genetic diversity of parvoviruses and to mine for more of this potential dark matter.

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野生鸟类泄殖腔中的副病毒暗物质。
随着病毒元组学和新一代测序技术的发展,近年来发现了越来越多的新型副病毒,甚至包括全新的病毒系。副病毒科包括不同的病毒群,可感染多种动物。在这项研究中,我们进行了系统分析,以确定副病毒的 "暗物质"(不容易归因于已知病毒的数据集),并从野生鸟类的泄殖腔拭子样本中探索其遗传多样性。我们初步将副病毒 "暗物质 "定义为副病毒科中一个高度分化的系。所有副病毒都有几个特征,包括两个主要的蛋白编码基因和相似的基因组长度。此外,我们还观察到新型副猪嗜血杆菌样病毒与副病毒科的大多数病毒具有相似的基因组结构,但在系统进化分析中不能与已建立的亚科聚类。我们还发现了一些与 Bidnaviridae 科相关的新成员,它们可能来自于 parvovirus。这表明有必要对家畜和野生动物样本进行系统分析,以探索副病毒的遗传多样性,并挖掘更多潜在的暗物质。
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来源期刊
GigaScience
GigaScience MULTIDISCIPLINARY SCIENCES-
CiteScore
15.50
自引率
1.10%
发文量
119
审稿时长
1 weeks
期刊介绍: GigaScience seeks to transform data dissemination and utilization in the life and biomedical sciences. As an online open-access open-data journal, it specializes in publishing "big-data" studies encompassing various fields. Its scope includes not only "omic" type data and the fields of high-throughput biology currently serviced by large public repositories, but also the growing range of more difficult-to-access data, such as imaging, neuroscience, ecology, cohort data, systems biology and other new types of large-scale shareable data.
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