Sign in
MicrobiologyFrontiers in Microbiology
Peer-reviewed journal article

Identification and classification of the genomes of novel Microviruses in a poultry slaughterhouse

Ke‐Ming XieiD, Ben-Fu Lin, Peng ZhuiD, Xinyu SuniD, Chang LiuiD, Guangfeng LiuiD, Xudong CaoiD, Jingqi Pan, Sui-Ping Qiu, Xiaoqi YuaniD, Meng-Shi Liang, Jing‐Zhe JiangiD, Lihong YuaniD

Abstract

Microviridae is a family of phages with circular ssDNA genomes and they are widely found in various environments and organisms. In this study, Virome techniques were employed to explore potential members of Microviridae in poultry slaughterhouse, leading to the identification of 98 novel and complete microvirus genomes. Using a similarity clustering network classification approach, these viruses were found to belong to at least 6 new subfamilies within Microviridae and 3 higher-level taxonomic units. Analysis of their genomes found that the genome size, GC content and genome structure of these new taxa showed evident regularities, validating the rationality of our classification method. Compared with the 19 families classified by previous researchers for microviruses dataset, our method can divide microviruses into about 45 more detailed clusters, which may serve as a new standard for classifying Microviridae members. Furthermore, addressing the scarcity of host information for microviruses, this study significantly broadened their host range and discovered over 20 possible new hosts, including important pathogenic bacteria such as Helicobacter pylori and Vibrio cholerae, as well as different taxa demonstrated differential host specificity. The findings of this study effectively expand the diversity of the Microviridae, providing new insights for their classification and identification. Additionally, it offers a novel perspective for monitoring and controlling pathogenic microorganisms in poultry slaughterhouse environments.

PDFDOI

02 /Specification & Classification

Click any tag to browse matching papers
Citations
2
FWCI
0.30
Field percentile
46th percentile

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISZhao '25Kaneko '25Zucker '22Pedramfar '26Kirchberger '19Kothari '21
64% semantic matchMicrobiology
Ji-Xin Zhao, Hong-Bo Ni, Fulong Nan+12 more·bioRxiv·Apr 15, 2025· 2 citations