Comprehensive hallmark gene sequence, genomic and structural analysis clarifies new and established taxa within the Picornavirales

dc.contributor.authorMayne, Richard
dc.contributor.authorSmith, Donald B.
dc.contributor.authorBrown, Katherine
dc.contributor.authorChen, Yan Ping
dc.contributor.authorFirth, Andrew E.
dc.contributor.authorKatayama, Kazuhiko
dc.contributor.authorKnowles, Nick J.
dc.contributor.authorSimmonds, Peter
dc.contributor.organizationfi=biolääketieteen laitos|en=Institute of Biomedicine|
dc.contributor.organization-code1.2.246.10.2458963.20.77952289591
dc.converis.publication-id526511350
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/526511350
dc.date.accessioned2026-06-15T20:12:31Z
dc.description.abstract<p>The order <i>Picornavirales </i>is a group of highly diverse RNA viruses that includes many pathogens of significance to human and veterinary health, agriculture, and the wider environment. However, the wide range of viruses assigned to the order, together with their genomic variability, and the recent description of numerous ‘picorna-like’ viruses derived from metagenomic analyses of environmental samples, challenge the established taxonomic classification of members of the order and the criteria for their classification. Here, we combine the existing gold standard, hallmark RNA-directed RNA-polymerase (RdRP) gene sequence-based analysis with helicase sequence-based phylogeny, RdRP structural prediction through the use of ColabFold and Fold Tree, and analysis of coding-complete genomes using GRAViTy-V2, to genetically classify 525 picornaviral genomes and recently described ‘picorna-like’ viruses. All analyses were conducted with a bespoke, fully automated pipeline for retrieval of genome sequences, domain prediction and extraction, phylogenetic analysis, and output conditioning, which is available as open-source software. Our results reveal broad support for established families as well as for 6 novel families, and 32 new genera. In instances where inconsistencies were found between classification methods, we demonstrate how examination of the pipeline’s output may be used to reconcile differences with respect to the genomic features quantified by the analysis. Automated multimodal taxonomic analysis may save significant resources over manual methods and better define demarcation criteria for families and genera.<br></p>
dc.identifier.eissn2057-1577
dc.identifier.urihttps://www.utupub.fi/handle/11111/62025
dc.identifier.urlhttps://academic.oup.com/ve/article/12/1/veag023/8659228
dc.identifier.urnURN:NBN:fi-fe2026061268885
dc.language.isoen
dc.okm.affiliatedauthorSimmonds, Peter
dc.okm.discipline3111 Biomedicineen_GB
dc.okm.discipline3111 Biolääketieteetfi_FI
dc.okm.internationalcopublicationinternational co-publication
dc.okm.internationalityInternational publication
dc.okm.typeA1 ScientificArticle
dc.publisherOxford University Press
dc.publisher.countryUnited Kingdomen_GB
dc.publisher.countryBritanniafi_FI
dc.publisher.country-codeGB
dc.relation.articlenumberveag023
dc.relation.doi10.1093/ve/veag023
dc.relation.ispartofjournalVirus evolution
dc.relation.issue1
dc.relation.volume12
dc.titleComprehensive hallmark gene sequence, genomic and structural analysis clarifies new and established taxa within the Picornavirales
dc.year.issued2026

Tiedostot

Näytetään 1 - 1 / 1
Ladataan...
Name:
veag023.pdf
Size:
2.7 MB
Format:
Adobe Portable Document Format