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The age structure of populations of Saccharomyces cerevisiae

dc.contributor.authorAdams, Julianen_US
dc.contributor.authorRothman, Edward D.en_US
dc.contributor.authorBeran, K.en_US
dc.date.accessioned2006-04-07T18:07:25Z
dc.date.available2006-04-07T18:07:25Z
dc.date.issued1981-04en_US
dc.identifier.citationAdams, Julian, Rothman, E. D., Beran, K. (1981/04)."The age structure of populations of Saccharomyces cerevisiae." Mathematical Biosciences 53(3-4): 249-263. <http://hdl.handle.net/2027.42/24407>en_US
dc.identifier.urihttp://www.sciencedirect.com/science/article/B6VHX-45DHXT6-G/2/f96cb6ae0d8473ec89720fde6b09d2e0en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/24407
dc.description.abstractA discrete deterministic model is described for the growth of an age-structured population of yeast, Saccharomyces cerevisiae, incorporating recent information on the asymmetry of cell division and control of the cell cycle in this species. Solutions are obtained for the age structure of the population at equilibrium, and for the equilibrium distribution of relative frequency of cells through the cell cycle. The model is applied to experimental data on the changing age structure of nonequilibrium populations of yeast. The model predicts well both the transient behavior and the equilibrium structure of such populations. It is shown that the asymmetry of cell division explains (1) the excess of newly formed daughter cells in the population as compared to the frequency of older cells and (2) the damped oscillations in the frequencies of cells of different ages as demographic equilibrium is approached.en_US
dc.format.extent882573 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherElsevieren_US
dc.titleThe age structure of populations of Saccharomyces cerevisiaeen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelPublic Healthen_US
dc.subject.hlbsecondlevelStatistics and Numeric Dataen_US
dc.subject.hlbsecondlevelNatural Resources and Environmenten_US
dc.subject.hlbsecondlevelMathematicsen_US
dc.subject.hlbsecondlevelEcology and Evolutionary Biologyen_US
dc.subject.hlbsecondlevelBiological Chemistryen_US
dc.subject.hlbtoplevelSocial Sciencesen_US
dc.subject.hlbtoplevelScienceen_US
dc.subject.hlbtoplevelHealth Sciencesen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDivision of Biological Sciences and Department of Human Genetics, University of Michigan, Ann Arbor, Michigan 48109, USAen_US
dc.contributor.affiliationumDepartments of Statistics and Human Genetics, University of Michigan, Ann Arbor, Michigan 48109, USAen_US
dc.contributor.affiliationotherInstitute of Microbiology, Czechoslovak Academy of Science, Prague, Czech Republicen_US
dc.identifier.pmid22015015en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/24407/1/0000677.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1016/0025-5564(81)90020-1en_US
dc.identifier.sourceMathematical Biosciencesen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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