Birth, growth and death as structuring operators in bacterial population dynamics.
A new model is presented that describes microbial population dynamics that emerge from complex interactions among birth, growth and death as oriented, discrete events. Specifically, birth and death act as structuring operators for individual organisms within the population, which become synchronised as age clusters (called cell generations that are structured in age classes) that are born at the same time and die in concert; a pattern very consistent with recent experimental data that show bacterial group death correlates with temporal population dynamics in chemostats operating at carrying capacity. Although the model only assumes "natural death" (i.e., no death from predation or antimicrobial exposure), it indicates that short-term non-linear dynamic behaviour can exist in a bacterial population growing under longer term pseudo-steady-state conditions (a confined dynamic equilibrium). After summarizing traditional assumptions about bacterial aging, simulations of batch, continuous-flow, and bioreactors with recycle are used to show how population dynamics vary as function of hydraulic retention time, microbial kinetics, substrate level, and other factors that cause differential changes in the distribution of living and dead cells within the system. In summary, we show that population structures induced by birth and death (as discrete and delayed events) intrinsically create a non-linear dynamic system, implying that a true steady state can never exist in growing bacterial populations. This conclusion is discussed within the context of process stability in biotechnology.
Lavric
Vasile
V
Chemical Engineering Department, University Politehnica of Bucharest, 011061 Polizu 1-7, Bucharest, Romania.
Graham
David W
DW
D000465:Algorithms; D001419:Bacteria / Q000166:cytology*; D018407:Bacterial Physiological Phenomena; D018533:Biomass; D019149:Bioreactors / Q000382:microbiology; D049109:Cell Proliferation; D003198:Computer Simulation; D048168:Escherichia coli K12 / Q000166:cytology / Q000502:physiology; D007700:Kinetics; D050296:Microbial Viability; D008954:Models, Biological; D017711:Nonlinear Dynamics