iScience | |
Intertemporal trade-off between population growth rate and carrying capacity during public good production | |
Odilon Câmara1  Marcos M. Vasconcelos2  Manasi S. Gangan3  Urbashi Mitra4  James Q. Boedicker5  | |
[1] Computer Engineering, Department of Computer Science, University of Southern California, Los Angeles, CA, USA;Commonweath Cyber-Initiative and Bradley Department of Electrical Engineering, Virginia Polytechnic Institute and State University, Arlington, VA, USA;Department of Physics and Astronomy, University of Southern California, Los Angeles, CA, USA;;Ming Hsieh Department of Electrical &USC Marshall School of Business, University of Southern California, Los Angeles, CA, USA; | |
关键词: Computational molecular modeling; Microbiology; | |
DOI : | |
来源: DOAJ |
【 摘 要 】
Summary: Public goods are biomolecules that benefit cellular populations, such as by providing access to previously unutilized resources. Public good production is energetically costly. To reduce this cost, populations control public good biosynthesis, for example using density-dependent regulation accomplished by quorum sensing. Fitness costs and benefits of public good production must be balanced, similar to optimal investment decisions used in economics. We explore the regulation of a public good that increases the carrying capacity, through experimental measurements of growth in Escherichia coli and analysis using a modified logistic growth model. The timing of public good production showed a sharply peaked optimum in population fitness. The cell density associated with maximum public good benefits was determined by the trade-off between the cost of public good production, in terms of reduced growth rate, and benefits received from public goods, in the form of increased carrying capacity.
【 授权许可】
Unknown