Unravelling viral identity: avoiding the trap of endogenous sequences for viral surveillance of small ruminant oncogenic retroviruses
Year: 2026
Type: article
Abstract: Small ruminants (sheep and goats) are one of the few mammals in which an exogenous retrovirus (XRV) and closely related endogenous retroviral (ERV) elements coexist within the same host genome. The betaretroviruses Jaagsiekte sheep retrovirus (JSRV) and Enzootic Nasal Tumour Virus (ENTV) cause pulmonary and nasal adenocarcinomas, respectively, and share extensive sequence similarity with their endogenous counterparts. Consequently, molecular surveillance must rely on assays that can unequivocally distinguish true exogenous infection from ERV-derived templates; failure to do so compromises diagnosis, phylogenetic inference, and epidemiological conclusions. We retrieved all complete JSRV, ENTV-1/2, and related ERV genomes deposited in public repositories and performed a comprehensive alignment. Only a limited number of genomic segments were capable of distinguishing exogenous from endogenous sequences. We refer to these as discriminating regions (DRs). Phylogenies built using DRs revealed that several entries annotated as XRV are, in fact, ERV-derived or chimeric artefacts generated by short-amplicon reconstruction. A systematic literature review of over 100 articles identified 286 distinct primers and probes used for the XRV amplification. In-silico mapping of each oligonucleotide onto the full alignment showed that only 28% reliably differentiate XRV from ERV. We experimentally validated the predictive power of this approach for 17 primer/probe sets, confirming that non-discriminating assays produce false-positive signals from endogenous templates. The misannotation of ERV sequences as exogenous viruses has resulted in the population of databases with dubious entries, fostering erroneous hypotheses such as vector-borne transmission of JSRV and ENTV. To address this issue, we propose a concise set of criteria for assay design, validation, and database annotation, emphasizing DR targeting, specificity testing against endogenous templates, and transparent reporting. Although this framework was developed for small ruminants, it is readily applicable to any host–virus system in which exogenous viruses coexist with endogenous viral elements. This will strengthen viral surveillance, phylogenetics, and the One Health initiatives.
Source: Virus Evolution
DOI: 10.1093/ve/veag028
Institutions: Lyon 1 Université, École Pratique des Hautes Études, Université Paris Sciences et Lettres, Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement, Infections Virales et Pathologie Comparée, Centre National de la Recherche Scientifique, VetAgro Sup, Laboratoire de Biométrie et Biologie Evolutive, MRC University of Glasgow Centre for Virus Research, Ministry of Agriculture, Animal Industry and Fisheries, MRC/UVRI & LSHTM Uganda Research Unit, Uganda Virus Research Institute
Language: English
Subfield: Small Animals
Field: Veterinary
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,304
Award: G7945667381
OpenAlex ID: W7160647396
