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hal.structure.identifierInstitut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement [INRAE]
hal.structure.identifierBiologie du fruit et pathologie [BFP]
dc.contributor.authorCHARON, Justine
hal.structure.identifierHeinrich Heine Universität Düsseldorf = Heinrich Heine University [Düsseldorf]
dc.contributor.authorBUCHMANN, Jan
hal.structure.identifierThe University of Sydney
dc.contributor.authorSADIQ, Sabrina
hal.structure.identifierSchool of Medical Sciences [Sydney, Australia]
hal.structure.identifierThe University of Sydney
dc.contributor.authorHOLMES, Edward
dc.date.accessioned2025-03-19T03:04:03Z
dc.date.available2025-03-19T03:04:03Z
dc.date.issued2022-07-01
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/205549
dc.description.abstractEnDespite a rapid expansion in the number of documented viruses following the advent of metagenomic sequencing, the identification and annotation of highly divergent RNA viruses remain challenging, particularly from poorly characterized hosts and environmental samples. Protein structures are more conserved than primary sequence data, such that structure-based comparisons provide an opportunity to reveal the viral ‘dusk matter’: viral sequences with low, but detectable, levels of sequence identity to known viruses with available protein structures. Here, we present a new open computational resource—RdRp-scan—that contains a standardized bioinformatic toolkit to identify and annotate divergent RNA viruses in metagenomic sequence data based on the detection of RNA-dependent RNA polymerase (RdRp) sequences. By combining RdRp-specific hidden Markov models (HMMs) and structural comparisons, we show that RdRp-scan can efficiently detect RdRp sequences with identity levels as low as 10 per cent to those from known viruses and not identifiable using standard sequence-to-sequence comparisons. In addition, to facilitate the annotation and placement of newly detected and divergent virus-like sequences into the diversity of RNA viruses, RdRp-scan provides new custom and curated databases of viral RdRp sequences and core motifs, as well as pre-built RdRp multiple sequence alignments. In parallel, our analysis of the sequence diversity detected by the RdRp-scan revealed that while most of the taxonomically unassigned RdRps fell into pre-established clusters, some fell into potentially new orders of RNA viruses related to the Wolframvirales and Tolivirales. Finally, a survey of the conserved A, B, and C RdRp motifs within the RdRp-scan sequence database revealed additional variations of both sequence and position that might provide new insights into the structure, function, and evolution of viral polymerases.
dc.language.isoen
dc.publisherOxford University Press
dc.title.enRdRp-scan: A bioinformatic resource to identify and annotate divergent RNA viruses in metagenomic sequence data
dc.typeArticle de revue
dc.identifier.doi10.1093/ve/veac082
dc.subject.halSciences du Vivant [q-bio]
bordeaux.journalVirus Evolution
bordeaux.volume8
bordeaux.hal.laboratoriesBiologie du Fruit & Pathologie (BFP) - UMR 1332*
bordeaux.issue2
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionINRAE
bordeaux.peerReviewedoui
hal.identifierhal-04995469
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-04995469v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Virus%20Evolution&rft.date=2022-07-01&rft.volume=8&rft.issue=2&rft.au=CHARON,%20Justine&BUCHMANN,%20Jan&SADIQ,%20Sabrina&HOLMES,%20Edward&rft.genre=article


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