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dc.contributor.authorNev, OA
dc.contributor.authorvan Den Berg, HA
dc.date.accessioned2018-02-13T14:01:22Z
dc.date.issued2017-11-01
dc.description.abstractWe review the principles underpinning the development of mathematical models of the metabolic activities of micro-organisms. Such models are important to understand and chart the substantial contributions made by micro-organisms to geochemical cycles, and also to optimise the performance of bioreactors that exploit the biochemical capabilities of these organisms. We advocate an approach based on the principle of dynamic allocation. We survey the biological background that motivates this approach, including nutrient assimilation, the regulation of gene expression, and the principles of microbial growth. In addition, we discuss the classic models of microbial growth as well as contemporary approaches. The dynamic allocation theory generalises these classic models in a natural manner and is readily amenable to the additional information provided by transcriptomics and proteomics approaches. Finally, we touch upon these organising principles in the context of the transition from the free-living unicellular mode of life to multicellularity.en_GB
dc.description.sponsorshipOlga Nev was funded through EU Research Framework programme 7 Marie Curie Actions, grant 316630 Centre for Analytical Science – Innovative Doctoral Programme (CAS-IDP).en_GB
dc.identifier.citationVol. 100 (4), pp. 343 - 362en_GB
dc.identifier.doi10.3184/003685017X15063357842583
dc.identifier.urihttp://hdl.handle.net/10871/31446
dc.language.isoenen_GB
dc.publisherScience Reviews 2000en_GB
dc.rights© 2017, Science Reviews 2000 Ltd. All rights reserved.en_GB
dc.subjectMicrobial growthen_GB
dc.subjectMathematical modelsen_GB
dc.subjectRegulationen_GB
dc.subjectChemostaten_GB
dc.titleMathematical models of microbial growth and metabolism: A whole-organism perspectiveen_GB
dc.typeArticleen_GB
dc.date.available2018-02-13T14:01:22Z
dc.identifier.issn0036-8504
dc.descriptionThis is the author accepted manuscript. The final version is available from Science Reviews 2000 via the DOI in this record.en_GB
dc.identifier.journalScience Progressen_GB


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