Neutral Impact of SARS-CoV-2 Coinfection on the Recombination-Driven Evolution of Endemic HCoV-OC43
Knowledge gaps exist on whether SARS-CoV-2 co-infection alters recombination frequency or induces phylogenetic incongruities in endemic β-coronaviruses (HCoV-OC43, HCoV-HKU1), limiting our understanding of cross-species evolution. Among 7213 COVID-19 and 1590 non-COVID-19 acute respiratory cases (2021-2022) screened via multiplex PCR, β-coronavirus co-infections (SARS-CoV-2 + HCoV-OC43/HKU1) and single HCoV-OC43/HKU1 infections were identified. Whole-genome sequencing (Illumina NovaSeq) was performed. Phylogenies were reconstructed using Bayesian inference (MrBayes). Recombination was assessed via Bootscan analysis (SimPlot). Co-infection prevalence was low (0.51%, mainly HCoV-HKU1: 0.28%, HCoV-OC43: 0.11%). HCoV-OC43 diverged into lineage 1 (genotype K) and a novel recombinant lineage 2 (genotypes F/J/G/I segments), exhibiting accelerated evolution. HCoV-HKU1 remained genetically stable (genotype B). Co-infection status did not influence evolutionary outcomes. While SARS-CoV-2 co-infection may favor transmission of endemic HCoVs, their evolution appears driven by population-level selection, not co-infection. HCoV-OC43 underwent recombination-driven diversification, contrasting sharply with HCoV-HKU1's stasis, highlighting distinct evolutionary strategies. Integrated genomic and clinical surveillance is critical for tracking coronavirus adaptation.
Authors
- Feifei Cao (ORCID: https://orcid.org/0000-0002-4290-2032)
- Zhou Sun (ORCID: https://orcid.org/0000-0001-5015-7629)
- Yinyan Zhou
- Xinfen Yu (ORCID: https://orcid.org/0000-0002-4503-893X)
- Yue Yu (ORCID: https://orcid.org/0009-0000-6614-6086)
- Xueling Zheng
- Jun Li (ORCID: https://orcid.org/0009-0002-4497-9305)
- Shi Cheng (ORCID: https://orcid.org/0009-0007-2280-3989)
Institutions
- Hangzhou Center for Disease Control and Prevention (CN)
Publication Details
- Journal
- Viruses
- Published
- 2025-09-18
- DOI
- https://doi.org/10.3390/v17091263
- Primary Topic
- Influenza Virus Research Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00