A comprehensive annotation of conserved protein domains in human endogenous retroviruses
Human endogenous retroviruses (HERVs) occupy nearly 8% of the human genome, yet their protein-coding potential remains largely unexplored. Originating from ancestral retroviruses that infected germline cells, HERVs typically follow the canonical proviral structure LTR-gag-pol-env-LTR, where gag, pol, and env encode structural, enzymatic, and envelope proteins. We present a comprehensive resource annotating conserved retroviral domains across 120 000 + ORFs derived from internal HERV regions. Using a reproducible pipeline based on HMMER and InterProScan, we identified over 17 000 domain hits-primarily from pol genes such as reverse transcriptase, RNase H, and protease-and quantified their structural conservation. Hundreds of domains exceed 95% alignment coverage, revealing a surprising abundance of full-length retrovirus-like domains in both young and ancient families. The HERVK (HML-2) subfamily retains the most complete polyprotein architecture, including 13 loci with nearly intact Gag, Pol, and Env, but full-length Pol domains are also found in HERVH, HERVW, and HERVE. Our annotations recover conserved catalytic motifs in Pol and transmembrane features in Env, enabling fine-grained functional interpretation. All results-including BED, FASTA, domain sequences, InterProScan outputs, and transmembrane predictions-are provided as an open resource at Zenodo to support downstream analyses of HERV protein expression, immune modulation, and co-option in health and disease.
Authors
- Tomàs Montserrat-Ayuso (ORCID: https://orcid.org/0009-0009-0212-9768)
- Aurora Pujol
- Anna Esteve-Codina
Institutions
- Institució Catalana de Recerca i Estudis Avançats (ES)
- Instituto de Salud Carlos III (ES)
- Institut d'Investigació Biomédica de Bellvitge (ES)
- Centre for Biomedical Network Research on Rare Diseases (ES)
- Centro Nacional de Análisis Genómico (ES)
- Universitat de Barcelona (ES)
Publication Details
- Journal
- NAR Genomics and Bioinformatics
- Published
- 2026-01-06
- DOI
- https://doi.org/10.1093/nargab/lqag013
- Citations
- 1
- Primary Topic
- Chromosomal and Genetic Variations
- Type
- article
- Field-Weighted Citation Impact
- 31.34