Unveiling the hidden viromes across the animal tree of life: insights from a taxonomic classification pipeline applied to invertebrates of 31 metazoan phyla.

compositional analysis invertebrates metatranscriptomics viromes virus ecology

Journal

mSystems
ISSN: 2379-5077
Titre abrégé: mSystems
Pays: United States
ID NLM: 101680636

Informations de publication

Date de publication:
23 Apr 2024
Historique:
medline: 23 4 2024
pubmed: 23 4 2024
entrez: 23 4 2024
Statut: aheadofprint

Résumé

Invertebrates constitute the majority of animal species on Earth, including most disease-causing agents or vectors, with more diverse viromes when compared to vertebrates. Recent advancements in high-throughput sequencing have significantly expanded our understanding of invertebrate viruses, yet this knowledge remains biased toward a few well-studied animal lineages. In this study, we analyze invertebrate DNA and RNA viromes for 31 phyla using 417 publicly available RNA-Seq data sets from diverse environments in the marine-terrestrial and marine-freshwater gradients. This study aims to (i) estimate virome compositions at the family level for the first time across the animal tree of life, including the first exploration of the virome in several phyla, (ii) quantify the diversity of invertebrate viromes and characterize the structure of invertebrate-virus infection networks, and (iii) investigate host phylum and habitat influence on virome differences. Results showed that a set of few viral families of eukaryotes, comprising

Identifiants

pubmed: 38651902
doi: 10.1128/msystems.00124-24
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0012424

Auteurs

Pau Alfonso (P)

Instituto de Biología Integrativa de Sistemas (CSIC-Universitat de València), Paterna, València, Spain.

Anamarija Butković (A)

Institut Pasteur, Université Paris Cité, CNRS UMR6047 Archaeal Virology Unit, Paris, France.

Rosa Fernández (R)

Instituto de Biología Evolutiva (CSIC-Universitat Pompeu Fabra), Barcelona, Spain.

Ana Riesgo (A)

Museo Nacional de Ciencias Naturales (CSIC), Madrid, Spain.
Department of Life Sciences, Natural History Museum of London, London, United Kingdom.

Santiago F Elena (SF)

Instituto de Biología Integrativa de Sistemas (CSIC-Universitat de València), Paterna, València, Spain.
The Santa Fe Institute, Santa Fe, New Mexico, USA.

Classifications MeSH