title: A microbial model of economic trading and comparative advantage.
abstract: The economic theory of comparative advantage postulates that beneficial trading relationships can be arrived at by two self-interested entities producing the same goods as long as they have opposing relative efficiencies in producing those goods. The theory predicts that upon entering trade, in order to maximize consumption both entities will specialize in producing the good they can produce at higher efficiency, that the weaker entity will specialize more completely than the stronger entity, and that both will be able to consume more goods as a result of trade than either would be able to alone. We extend this theory to the realm of unicellular organisms by developing mathematical models of genetic circuits that allow trading of a common good (specifically, signaling molecules) required for growth in bacteria in order to demonstrate comparative advantage interactions. In Conception 1, the experimenter controls production rates via exogenous inducers, allowing exploration of the parameter space of specialization. In Conception 2, the circuits self-regulate via feedback mechanisms. Our models indicate that these genetic circuits can demonstrate comparative advantage, and that cooperation in such a manner is particularly favored under stringent external conditions and when the cost of production is not overly high. Further work could involve implementing the models in living bacteria and searching for naturally occurring cooperative relationships between bacteria that conform to the principles of comparative advantage.
authors.affiliation: Institute for Cell and Molecular Biology, University of Texas at Austin, Austin, TX 78712, USA.
authors.forename: Peter J
authors.initials: PJ
authors.lastname: Enyeart
authors.affiliation: Institute for Cell and Molecular Biology, University of Texas at Austin, Austin, TX 78712, USA; Center for Systems and Synthetic Biology, University of Texas at Austin, Austin, TX 78712, USA.
authors.forename: Zachary B
authors.initials: ZB
authors.lastname: Simpson
authors.affiliation: Institute for Cell and Molecular Biology, University of Texas at Austin, Austin, TX 78712, USA; Center for Systems and Synthetic Biology, University of Texas at Austin, Austin, TX 78712, USA; Department of Molecular Biosciences, University of Texas at Austin, Austin, TX 78712, USA. Electronic address: andy.ellington@mail.utexas.edu.
authors.forename: Andrew D
authors.initials: AD
authors.lastname: Ellington
mesh_terms: D000465:Algorithms; D000900:Anti-Bacterial Agents / Q000737:chemistry; D001419:Bacteria / Q000187:drug effects*; D018407:Bacterial Physiological Phenomena; D018441:Biofilms; D005075:Biological Evolution; D018920:Coculture Techniques; D008962:Models, Theoretical; D015398:Signal Transduction; D058615:Synthetic Biology
chemical_list: D000900:Anti-Bacterial Agents
keywords: Bacterial signaling; Cooperation; Ecology; Non-linear dynamics; Synthetic biology