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dc.contributor.authorWeinberger, Ariel D
dc.contributor.authorSun, Christine L.
dc.contributor.authorPluciński, Mateusz M.
dc.contributor.authorDenef, Vincent J.
dc.contributor.authorThomas, Brian C.
dc.contributor.authorHorvath, Philippe
dc.contributor.authorBarrangou, Rodolphe
dc.contributor.authorGilmore, Michael S.
dc.contributor.authorGetz, Wayne M.
dc.contributor.authorBanfield, Jillian F.
dc.date.accessioned2013-01-30T16:16:41Z
dc.date.issued2012
dc.identifier.citationWeinberger, Ariel D., Christine L. Sun, Mateusz M. Pluciński, Vincent J. Denef, Brian C. Thomas, Philippe Horvath, Rodolphe Barrangou, Michael S. Gilmore, Wayne M. Getz, and Jillian F. Banfield. 2012. Persisting viral sequences shape microbial crispr-based immunity. PLoS Computational Biology 8(4): e1002475.en_US
dc.identifier.issn1553-734Xen_US
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:10246858
dc.description.abstractWell-studied innate immune systems exist throughout bacteria and archaea, but a more recently discovered genomic locus may offer prokaryotes surprising immunological adaptability. Mediated by a cassette-like genomic locus termed Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR), the microbial adaptive immune system differs from its eukaryotic immune analogues by incorporating new immunities unidirectionally. CRISPR thus stores genomically recoverable timelines of virus-host coevolution in natural organisms refractory to laboratory cultivation. Here we combined a population genetic mathematical model of CRISPR-virus coevolution with six years of metagenomic sequencing to link the recoverable genomic dynamics of CRISPR loci to the unknown population dynamics of virus and host in natural communities. Metagenomic reconstructions in an acid-mine drainage system document CRISPR loci conserving ancestral immune elements to the base-pair across thousands of microbial generations. This ‘trailer-end conservation’ occurs despite rapid viral mutation and despite rapid prokaryotic genomic deletion. The trailer-ends of many reconstructed CRISPR loci are also largely identical across a population. ‘Trailer-end clonality’ occurs despite predictions of host immunological diversity due to negative frequency dependent selection (kill the winner dynamics). Statistical clustering and model simulations explain this lack of diversity by capturing rapid selective sweeps by highly immune CRISPR lineages. Potentially explaining ‘trailer-end conservation,’ we record the first example of a viral bloom overwhelming a CRISPR system. The polyclonal viruses bloom even though they share sequences previously targeted by host CRISPR loci. Simulations show how increasing random genomic deletions in CRISPR loci purges immunological controls on long-lived viral sequences, allowing polyclonal viruses to bloom and depressing host fitness. Our results thus link documented patterns of genomic conservation in CRISPR loci to an evolutionary advantage against persistent viruses. By maintaining old immunities, selection may be tuning CRISPR-mediated immunity against viruses reemerging from lysogeny or migration.en_US
dc.language.isoen_USen_US
dc.publisherPublic Library of Scienceen_US
dc.relation.isversionofdoi:10.1371/journal.pcbi.1002475en_US
dc.relation.hasversionhttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC3330103/pdf/en_US
dash.licenseLAA
dc.subjectbiologyen_US
dc.subjectcomputational biologyen_US
dc.subjectecologyen_US
dc.subjectevolutionary biologyen_US
dc.subjectgenomicsen_US
dc.subjectimmunologyen_US
dc.subjectmicrobiologyen_US
dc.subjectpopulation biologyen_US
dc.subjecttheoretical biologyen_US
dc.subjectearth sciencesen_US
dc.subjectenvironmental sciencesen_US
dc.titlePersisting Viral Sequences Shape Microbial CRISPR-Based Immunityen_US
dc.typeJournal Articleen_US
dc.description.versionVersion of Recorden_US
dc.relation.journalPLoS Computational Biologyen_US
dash.depositing.authorGilmore, Michael S.
dc.date.available2013-01-30T16:16:41Z
dc.identifier.doi10.1371/journal.pcbi.1002475*
dash.contributor.affiliatedWeinberger, Ariel
dash.contributor.affiliatedGilmore, Michael


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