Birth, growth and death as structuring operators in bacterial population dynamics

  1. Lookup NU author(s)
  2. Professor Vasile Lavric
  3. Professor David Graham
Author(s)Lavric V, Graham DW
Publication type Article
JournalJournal of Theoretical Biology
Year2010
Volume264
Issue1
Pages45-54
ISSN (print)0022-5193
Full text for this publication is not currently held within this repository. Alternative links are provided below where available.
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 behavior 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 recycling bioreactors 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.
PublisherElsevier BV
URLhttp://dx.doi.org/10.1016/j.jtbi.2010.01.020
DOI10.1016/j.jtbi.2010.01.020
Actions    Link to this publication