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dc.contributor.authorQuadeer, Ahmed A
dc.contributor.authorBarton, John P
dc.contributor.authorChakraborty, Arup K
dc.contributor.authorMcKay, Matthew R
dc.date.accessioned2021-10-27T19:52:08Z
dc.date.available2021-10-27T19:52:08Z
dc.date.issued2020
dc.identifier.urihttps://hdl.handle.net/1721.1/133326
dc.description.abstract© 2020, The Author(s). Vaccination has essentially eradicated poliovirus. Yet, its mutation rate is higher than that of viruses like HIV, for which no effective vaccine exists. To investigate this, we infer a fitness model for the poliovirus viral protein 1 (vp1), which successfully predicts in vitro fitness measurements. This is achieved by first developing a probabilistic model for the prevalence of vp1 sequences that enables us to isolate and remove data that are subject to strong vaccine-derived biases. The intrinsic fitness constraints derived for vp1, a capsid protein subject to antibody responses, are compared with those of analogous HIV proteins. We find that vp1 evolution is subject to tighter constraints, limiting its ability to evade vaccine-induced immune responses. Our analysis also indicates that circulating poliovirus strains in unimmunized populations serve as a reservoir that can seed outbreaks in spatio-temporally localized sub-optimally immunized populations.
dc.language.isoen
dc.publisherSpringer Science and Business Media LLC
dc.relation.isversionof10.1038/S41467-019-14174-2
dc.rightsCreative Commons Attribution 4.0 International license
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceNature
dc.titleDeconvolving mutational patterns of poliovirus outbreaks reveals its intrinsic fitness landscape
dc.typeArticle
dc.contributor.departmentMassachusetts Institute of Technology. Department of Chemical Engineering
dc.contributor.departmentMassachusetts Institute of Technology. Department of Physics
dc.contributor.departmentMassachusetts Institute of Technology. Department of Chemistry
dc.contributor.departmentRagon Institute of MGH, MIT and Harvard
dc.contributor.departmentMassachusetts Institute of Technology. Institute for Medical Engineering & Science
dc.relation.journalNature Communications
dc.eprint.versionFinal published version
dc.type.urihttp://purl.org/eprint/type/JournalArticle
eprint.statushttp://purl.org/eprint/status/PeerReviewed
dc.date.updated2021-06-08T17:28:18Z
dspace.orderedauthorsQuadeer, AA; Barton, JP; Chakraborty, AK; McKay, MR
dspace.date.submission2021-06-08T17:28:19Z
mit.journal.volume11
mit.journal.issue1
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Needed


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