Evidence map›Paper›PMID 39331680›Full record

ArticlePLoS pathogens2024

Cellular dynamics shape recombination frequency in coronaviruses.

Cassandra M Bonavita, Heather L Wells, Simon J Anthony

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Cassandra M BonavitaDepartment of Pathology, Microbiology, and Immunology, University of California Davis School of Veterinary Medicine, Davis, California, United States of America.
Heather L WellsDepartment of Pathology, Microbiology, and Immunology, University of California Davis School of Veterinary Medicine, Davis, California, United States of America.ORCID 0000-0002-1724-5843
Simon J AnthonyDepartment of Pathology, Microbiology, and Immunology, University of California Davis School of Veterinary Medicine, Davis, California, United States of America.ORCID 0000-0001-9519-2663

Funding

Genetic and ecological determinants of coronavirus recombinationR01AI149693 · NIAID · UNIVERSITY OF CALIFORNIA AT DAVIS · PI ANTHONY, SIMON J · 2020 to 2023
$2.0M
NIAID NIH HHS R01 AI149693
6 · The paper itself

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.

Indexed as

CoinfectionRecombination, GeneticAnimalsCoronavirusCoronavirus InfectionsGenome, ViralHumansRNA, ViralRNA, Viral

Identifiers

PMID39331680
PMCPMC11463787

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.