ArticlePLoS pathogens2024
Cellular dynamics shape recombination frequency in coronaviruses.
Article in PLoS pathogens, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed.
- Single amino acid substitution in RdRp reduces viral recombination frequency of NADC30-like porcine reproductive and respiratory syndrome virus type 2.PLoS pathogens · 2026Article
- A non-spike nucleocapsid R204P mutation in SARS-CoV-2 Omicron XEC enhances inflammation and pathogenicity.Nature communications · 2025Article
- Engineering a recombination-resistant live attenuated vaccine candidate with suppressed interferon antagonists for PEDV.Journal of virology · 2025Article
- Anthropogenic Factors and Social Organisation Drive Picobirnavirus Communities in Wild Rhesus Macaques.Ecology and evolution · 2025Article
- A novel genotyping system based on site polymorphism on spike gene reveals the evolutionary pathway of porcine epidemic diarrhea virus.iMetaOmics · 2025Article
- SARS-CoV-2 cellular coinfection is limited by superinfection exclusion.Journal of virology · 2025Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Coronavirus genomes have evolutionary histories shaped extensively by recombination. Yet, how often recombination occurs at a cellular level, or the factors that regulate recombination rates, are poorly understood. Utilizing experimental co-infections with pairs of genetically distinct coronaviruses, we found that recombination is both frequent and rare during coinfection. Recombination occurred in every instance of co-infection yet resulted in relatively few recombinant RNAs. By integrating a discrete-time Susceptible-Infected-Removed (SIR) model, we found that rates of recombination are determined primarily by rates of cellular co-infection, rather than other possible barriers such as RNA compartmentalization. By staggering the order and timing of infection with each virus we also found that rates of co-infection are themselves heavily influenced by genetic and ecological mechanisms, including superinfection exclusion and the relative fitness of competing viruses. Our study highlights recombination as a potent yet regulated force: frequent enough to ensure a steady influx of genetic variation but also infrequent enough to maintain genomic integrity. As recombination is thought to be an important driver of host-switching and disease emergence, our study provides new insights into the factors that regulate coronavirus recombination and evolution more broadly.
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Registered trials
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