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Discovery of diverse anellovirus sequences in Thai human sequencing data
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Document Title
Discovery of diverse anellovirus sequences in Thai human sequencing data
Author
Phumiphanjarphak W.
Name from Authors Collection
Affiliations
Department of Microbiology, Faculty of Science, Mahidol University, Bangkok, Thailand; Pornchai Matangkasombut Center for Microbial Genomics, Department of Microbiology, Faculty of Science, Mahidol University, Bangkok, Thailand; National Center for Genetic Engineering and Biotechnology, National Science and Technology Development Agency, Pathum Thani, Thailand
Type
Article
Source Title
Microbiology Spectrum
ISSN
21650497
Year
2025
Volume
13
Issue
10
Open Access
All Open Access; Gold Open Access; Green Open Access
Publisher
American Society for Microbiology
DOI
10.1128/spectrum.00866-25
Abstract
Anelloviruses are part of the normal human viral flora. Although their diversity in humans has been investigated in many countries, and despite their initial detection in Thailand in 1999, knowledge of Thai anelloviruses remains very limited. This study analyzed 1,175 whole-genome sequencing data sets from Thai individuals to mine for potential anellovirus sequences. Our analyses detected anellovirus sequences in 149 data sets (12.68%), uncovering 434 partial anellovirus sequences and 77 complete genome sequences, characterized by the presence of terminal redundancy, complete orf1, and the conserved untranslated region upstream of the orf1 gene. Sequence analyses indicated that these viruses belong to seven genera, including Alphatorquevirus, Betatorquevirus, Gammatorquevirus, Hetorquevirus, Lamedtorquevirus, Samektorquevirus, and Yodtorquevirus. Notably, Hetorquevirus, Lamedtorquevirus, Samektorquevirus, and Yodtorquevirus had not previously been reported in Thailand. Phylogenetic analysis of ORF1 protein sequences showed that Thai anelloviruses form multiple phylogenetic clusters with non-Thai anelloviruses, indicating frequent cross-country transmission and multiple origins of the virus in Thailand. Furthermore, sequence similarity network analysis identified 33 potentially novel anellovirus species in our data set. Our findings greatly expand the knowledge of anellovirus diversity in Thailand and demonstrate the potential of human whole-genome sequencing data as a valuable resource for viral discovery. Lastly, we highlight and discuss some challenges with the use of the current pairwise sequence similarity-based classification scheme, in particular, how gaps can influence similarity calculation and potentially lead to inconsistencies with a phyloge netic-based classification scheme. © 2025 Phumiphanjarphak et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license.
Keyword
License
CC BY
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Authors
Publication Source
Scopus