title: Cybernetic modeling of adaptive prediction of environmental changes by microorganisms.
abstract: Microorganisms exhibit varied regulatory strategies such as direct regulation, symmetric anticipatory regulation, asymmetric anticipatory regulation, etc. Current mathematical modeling frameworks for the growth of microorganisms either do not incorporate regulation or assume that the microorganisms utilize the direct regulation strategy. In the present study, we extend the cybernetic modeling framework to account for asymmetric anticipatory regulation strategy. The extended model accurately captures various experimental observations. We use the developed model to explore the fitness advantage provided by the asymmetric anticipatory regulation strategy and observe that the optimal extent of asymmetric regulation depends on the selective pressure that the microorganisms experience. We also explore the importance of timing the response in anticipatory regulation and find that there is an optimal time, dependent on the extent of asymmetric regulation, at which microorganisms should respond anticipatorily to maximize their fitness. We then discuss the advantages offered by the cybernetic modeling framework over other modeling frameworks in modeling the asymmetric anticipatory regulation strategy.
authors.affiliation: Department of Chemical Engineering, Indian Institute of Science, Bangalore 560012, India.
authors.forename: Aravinda R
authors.initials: AR
authors.lastname: Mandli
authors.affiliation: Department of Chemical Engineering, Indian Institute of Science, Bangalore 560012, India. Electronic address: modak@chemeng.iisc.ernet.in.
authors.forename: Jayant M
authors.initials: JM
authors.lastname: Modak
mesh_terms: D000222:Adaptation, Physiological; D019149:Bioreactors / Q000382:microbiology*; D003491:Cybernetics; D004777:Environment; D004926:Escherichia coli / Q000235:genetics / Q000254:growth & development / Q000378:metabolism; D055641:Mathematical Concepts; D008954:Models, Biological
keywords: Asymmetric anticipatory regulation; Cybernetic model; Direct regulation; Long term objective; Short term objective