Superinfection exclusion: A viral strategy with short-term benefits and long-term drawbacks.
dc.contributor.author | Hunter, Michael | |
dc.contributor.author | Fusco, Diana | |
dc.date.accessioned | 2022-05-20T19:02:28Z | |
dc.date.available | 2022-05-20T19:02:28Z | |
dc.date.issued | 2022-05 | |
dc.date.submitted | 2021-12-10 | |
dc.identifier.issn | 1553-734X | |
dc.identifier.other | pcompbiol-d-21-02234 | |
dc.identifier.uri | https://www.repository.cam.ac.uk/handle/1810/337354 | |
dc.description.abstract | Viral superinfection occurs when multiple viral particles subsequently infect the same host. In nature, several viral species are found to have evolved diverse mechanisms to prevent superinfection (superinfection exclusion) but how this strategic choice impacts the fate of mutations in the viral population remains unclear. Using stochastic simulations, we find that genetic drift is suppressed when superinfection occurs, thus facilitating the fixation of beneficial mutations and the removal of deleterious ones. Interestingly, we also find that the competitive (dis)advantage associated with variations in life history parameters is not necessarily captured by the viral growth rate for either infection strategy. Putting these together, we then show that a mutant with superinfection exclusion will easily overtake a superinfecting population even if the latter has a much higher growth rate. Our findings suggest that while superinfection exclusion can negatively impact the long-term adaptation of a viral population, in the short-term it is ultimately a winning strategy. | |
dc.language | en | |
dc.publisher | Public Library of Science (PLoS) | |
dc.subject | Research Article | |
dc.subject | Biology and life sciences | |
dc.subject | Medicine and health sciences | |
dc.subject | Physical sciences | |
dc.subject | Research and analysis methods | |
dc.title | Superinfection exclusion: A viral strategy with short-term benefits and long-term drawbacks. | |
dc.type | Article | |
dc.date.updated | 2022-05-20T19:02:28Z | |
prism.issueIdentifier | 5 | |
prism.publicationName | PLoS Comput Biol | |
prism.volume | 18 | |
dc.identifier.doi | 10.17863/CAM.84768 | |
dcterms.dateAccepted | 2022-04-20 | |
rioxxterms.versionofrecord | 10.1371/journal.pcbi.1010125 | |
rioxxterms.version | VoR | |
rioxxterms.licenseref.uri | http://creativecommons.org/licenses/by/4.0/ | |
datacite.contributor.supervisor | editor: Illingworth, Christopher | |
dc.contributor.orcid | Hunter, Michael [0000-0001-5439-2896] | |
dc.contributor.orcid | Fusco, Diana [0000-0002-1505-7160] | |
dc.identifier.eissn | 1553-7358 | |
pubs.funder-project-id | Engineering and Physical Sciences Research Council (EP/P020259/1) | |
cam.issuedOnline | 2022-05-10 |
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