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dc.contributor.authorCarlson, Ross P.
dc.contributor.authorOshota, Olusegun J.
dc.contributor.authorTaffs, Reed L.
dc.date.accessioned2017-01-31T15:52:12Z
dc.date.available2017-01-31T15:52:12Z
dc.date.issued2012-09
dc.identifier.citationCarlson RP, Oshota OJ, Taffs RL, "Systems analysis of microbial adaptations to simultaneous stresses," Subcellular Biochemistry. 2012 64:139-157.en_US
dc.identifier.issn978-94-007-5054-8
dc.identifier.urihttps://scholarworks.montana.edu/xmlui/handle/1/12487
dc.description.abstractMicrobes live in multi-factorial environments and have evolved under a variety of concurrent stresses including resource scarcity. Their metabolic organization is a reflection of their evolutionary histories and, in spite of decades of research, there is still a need for improved theoretical tools to explain fundamental aspects of microbial physiology. Using ecological and economic concepts, this chapter explores a resource-ratio based theory to elucidate microbial strategies for extracting and channeling mass and energy. The theory assumes cellular fitness is maximized by allocating scarce resources in appropriate proportions to multiple stress responses. Presented case studies deconstruct metabolic networks into a complete set of minimal biochemical pathways known as elementary flux modes. An economic analysis of the elementary flux modes tabulates enzyme atomic synthesis requirements from amino acid sequences and pathway operating costs from catabolic efficiencies, permitting characterization of inherent tradeoffs between resource investment and phenotype. A set of elementary flux modes with competitive tradeoffs properties can be mathematically projected onto experimental fluxomics datasets to decompose measured phenotypes into metabolic adaptations, interpreted as cellular responses proportional to the experienced culturing stresses. The resource-ratio based method describes the experimental phenotypes with greater accuracy than other contemporary approaches, and further analysis suggests the results are both statistically and biologically significant. The insight into metabolic network design principles including tradeoffs associated with concurrent stress adaptation provides a foundation for interpreting physiology as well as for rational control and engineering of medically, environmentally, and industrially relevant microbes.en_US
dc.titleSystems analysis of microbial adaptations to simultaneous stressesen_US
dc.typeBook chapteren_US
mus.citation.extentfirstpage139en_US
mus.citation.extentlastpage157en_US
mus.identifier.categoryChemical & Material Sciencesen_US
mus.identifier.categoryEngineering & Computer Scienceen_US
mus.identifier.categoryLife Sciences & Earth Sciencesen_US
mus.identifier.doi10.1007/978-94-007-5055-5_7en_US
mus.relation.collegeCollege of Engineeringen_US
mus.relation.departmentCenter for Biofilm Engineering.en_US
mus.relation.universityMontana State University - Bozemanen_US
mus.relation.researchgroupCenter for Biofilm Engineering.en_US
mus.data.thumbpage5en_US
mus.citation.booktitleSubcellular Biochemistryen_US


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