Characterization of CRESS-DNA viruses in human vaginal secretions: An exploratory metagenomic investigation.
Endrya do Socorro Foro RamosTânia Regina Tozetto-MendozaPietro BortolettoNoely Evangelista FerreiraLayla HonoratoErick Matheus Garcia BarbosaAdriana LuchsIara M LinharesSteven D SpandorferElcio de Souza LealAntonio Charlys da CostaSteven S WitkinMaria Cassia Mendes-CorreaPublished in: Journal of medical virology (2024)
The Phylum Cressdnaviricota consists of a large number of circular Rep-encoding single-stranded (CRESS)-DNA viruses. Recently, metagenomic analyzes revealed their ubiquitous distribution in a diverse range of eukaryotes. Data relating to CRESS-DNA viruses in humans remains scarce. Our study investigated the presence and genetic diversity of CRESS-DNA viruses in human vaginal secretions. Vaginal swabs were collected from 28 women between 29 and 43 years old attending a fertility clinic in New York City. An exploratory metagenomic analysis was performed and detection of CRESS-DNA viruses was confirmed through analysis of near full-length sequences of the viral isolates. A phylogenetic tree was based on the REP open reading frame sequences of the CRESS-DNA virus genome. Eleven nearly complete CRESS-DNA viral genomes were identified in 16 (57.1%) women. There were no associations between the presence of these viruses and any demographic or clinical parameters. Phylogenetic analysis indicated that one of the sequences belonged to the genus Gemycircularvirus within the Genomoviridae family, while ten sequences represented previously unclassified species of CRESS-DNA viruses. Novel species of CRESS-DNA viruses are present in the vaginal tract of adult women. Although they be transient commensal agents, the potential clinical implications for their presence at this site cannot be dismissed.
Keyphrases
- genetic diversity
- circulating tumor
- cell free
- single molecule
- nucleic acid
- endothelial cells
- sars cov
- polycystic ovary syndrome
- circulating tumor cells
- type diabetes
- gene expression
- machine learning
- adipose tissue
- young adults
- microbial community
- working memory
- induced pluripotent stem cells
- minimally invasive
- wastewater treatment
- big data
- subarachnoid hemorrhage
- human health
- pregnancy outcomes
- anaerobic digestion