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dc.contributor.authorMarzen, Sarah E.
dc.contributor.authorCrutchfield, James P.
dc.date.accessioned2018-07-24T13:43:54Z
dc.date.available2018-07-24T13:43:54Z
dc.date.issued2018-07
dc.date.submitted2018-06
dc.identifier.issn2470-0045
dc.identifier.issn2470-0053
dc.identifier.urihttp://hdl.handle.net/1721.1/117060
dc.description.abstractExperimentalists observe phenotypic variability even in isogenic bacteria populations. We explore the hypothesis that in fluctuating environments this variability is tuned to maximize a bacterium's expected log-growth rate, potentially aided by epigenetic (all inheritable nongenetic) markers that store information about past environments. Crucially, we assume a time delay between sensing and action, so that a past epigenetic marker is used to generate the present phenotypic variability. We show that, in a complex, memoryful environment, the maximal expected log-growth rate is linear in the instantaneous predictive information—the mutual information between a bacterium's epigenetic markers and future environmental states. Hence, under resource constraints, optimal epigenetic markers are causal states—the minimal sufficient statistics for prediction—or lossy approximations thereof. We propose new theoretical investigations into and new experiments on bacteria phenotypic bet-hedging in fluctuating complex environments.en_US
dc.description.sponsorshipTempleton Foundation (Grant 52095)en_US
dc.description.sponsorshipFoundational Questions Institute (Grant FQXi-RFP-1609)en_US
dc.description.sponsorshipUnited States. Army Research Office (Contract W911NF-13-1-0390)en_US
dc.publisherAmerican Physical Societyen_US
dc.relation.isversionofhttp://dx.doi.org/10.1103/PhysRevE.98.012408en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceAmerican Physical Societyen_US
dc.titleOptimized bacteria are environmental prediction enginesen_US
dc.typeArticleen_US
dc.identifier.citationMarzen, Sarah E. and Crutchfield, James P. "Optimized bacteria are environmental prediction engines." Physical Review E 98, 1 (July 2018): 012408 © 2018 American Physical Societyen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Physicsen_US
dc.contributor.mitauthorMarzen, Sarah E.
dc.relation.journalPhysical Review Een_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2018-07-16T18:00:16Z
dc.language.rfc3066en
dc.rights.holderAmerican Physical Society
dspace.orderedauthorsMarzen, Sarah E.; Crutchfield, James P.en_US
dspace.embargo.termsNen_US
mit.licensePUBLISHER_POLICYen_US


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