Parvovirus dark matter in the cloaca of wild birds

Author:

Dai Ziyuan12ORCID,Wang Haoning3,Wu Haisheng14,Zhang Qing4,Ji Likai1,Wang Xiaochun1,Shen Quan1,Yang Shixing1,Ma Xiao4,Shan Tongling5ORCID,Zhang Wen1ORCID

Affiliation:

1. Department of Laboratory Medicine, School of Medicine, Jiangsu University , Zhenjiang, Jiangsu 212013 , China

2. Department of Clinical Laboratory, The Sixth Affiliated Hospital of Nantong University, Yancheng Third People's Hospital , Yancheng, Jiangsu 224001 , China

3. School of Geography and Tourism, Harbin University , Harbin, Heilongjiang 150076 , China

4. Qinghai Institute of Endemic Disease Prevention and Control , Xining, Qinghai 810099 , China

5. Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences , Shanghai 810099 , China

Abstract

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.

Funder

National Key Research and Development Programs of China

Clinical Teaching Hospitals of Jiangsu Vocational College of Medicine

Publisher

Oxford University Press (OUP)

Subject

Computer Science Applications,Health Informatics

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