The age structure of populations of Saccharomyces cerevisiae
dc.contributor.author | Adams, Julian | en_US |
dc.contributor.author | Rothman, Edward D. | en_US |
dc.contributor.author | Beran, K. | en_US |
dc.date.accessioned | 2006-04-07T18:07:25Z | |
dc.date.available | 2006-04-07T18:07:25Z | |
dc.date.issued | 1981-04 | en_US |
dc.identifier.citation | Adams, 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.uri | http://www.sciencedirect.com/science/article/B6VHX-45DHXT6-G/2/f96cb6ae0d8473ec89720fde6b09d2e0 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/24407 | |
dc.description.abstract | A 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.extent | 882573 bytes | |
dc.format.extent | 3118 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | Elsevier | en_US |
dc.title | The age structure of populations of Saccharomyces cerevisiae | en_US |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | en_US |
dc.subject.hlbsecondlevel | Public Health | en_US |
dc.subject.hlbsecondlevel | Statistics and Numeric Data | en_US |
dc.subject.hlbsecondlevel | Natural Resources and Environment | en_US |
dc.subject.hlbsecondlevel | Mathematics | en_US |
dc.subject.hlbsecondlevel | Ecology and Evolutionary Biology | en_US |
dc.subject.hlbsecondlevel | Biological Chemistry | en_US |
dc.subject.hlbtoplevel | Social Sciences | en_US |
dc.subject.hlbtoplevel | Science | en_US |
dc.subject.hlbtoplevel | Health Sciences | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Division of Biological Sciences and Department of Human Genetics, University of Michigan, Ann Arbor, Michigan 48109, USA | en_US |
dc.contributor.affiliationum | Departments of Statistics and Human Genetics, University of Michigan, Ann Arbor, Michigan 48109, USA | en_US |
dc.contributor.affiliationother | Institute of Microbiology, Czechoslovak Academy of Science, Prague, Czech Republic | en_US |
dc.identifier.pmid | 22015015 | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/24407/1/0000677.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1016/0025-5564(81)90020-1 | en_US |
dc.identifier.source | Mathematical Biosciences | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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