Composition of Eukaryotic Viruses and Bacteriophages in Individuals with Acute Gastroenteritis.
Acute Disease
Adenoviridae
/ genetics
Adolescent
Adult
Aged
Bacteriophages
/ genetics
Brazil
/ epidemiology
Child
Child, Preschool
Feces
/ virology
Female
Gastroenteritis
/ epidemiology
Humans
Male
Metagenomics
Middle Aged
Norovirus
/ genetics
Rotavirus
/ genetics
Virome
/ genetics
Viruses
/ classification
Young Adult
children
gastroenteritis
gut virome
viral diversity
virus-like particles
Journal
Viruses
ISSN: 1999-4915
Titre abrégé: Viruses
Pays: Switzerland
ID NLM: 101509722
Informations de publication
Date de publication:
25 11 2021
25 11 2021
Historique:
received:
19
10
2021
revised:
20
11
2021
accepted:
23
11
2021
entrez:
28
12
2021
pubmed:
29
12
2021
medline:
23
2
2022
Statut:
epublish
Résumé
Metagenomics based on the next-generation sequencing (NGS) technique is a target-independent assay that enables the simultaneous detection and genomic characterization of all viruses present in a sample. There is a limited amount of data about the virome of individuals with gastroenteritis (GI). In this study, the enteric virome of 250 individuals (92% were children under 5 years old) with GI living in the northeastern and northern regions of Brazil was characterized. Fecal samples were subjected to NGS, and the metagenomic analysis of virus-like particles (VLPs) identified 11 viral DNA families and 12 viral RNA families. As expected, the highest percentage of viral sequences detected were those commonly associated with GI, including rotavirus, adenovirus, norovirus (94.8%, 82% and 71.2%, respectively). The most common co-occurrences, in a single individual, were the combinations of rotavirus-adenovirus, rotavirus-norovirus, and norovirus-adenovirus (78%, 69%, and 62%, respectively). In the same way, common fecal-emerging human viruses were also detected, such as parechovirus, bocaporvirus, cosavirus, picobirnavirus, cardiovirus, salivirus, and Aichivirus. In addition, viruses that infect plants, nematodes, fungi, protists, animals, and arthropods could be identified. A large number of unclassified viral contigs were also identified. We show that the metagenomics approach is a powerful and promising tool for the detection and characterization of different viruses in clinical GI samples.
Identifiants
pubmed: 34960634
pii: v13122365
doi: 10.3390/v13122365
pmc: PMC8704738
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
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