Individual-based modelling of bacterial cultures to study the microscopic causes of the lag phase

Journal of Theoretical Biology
Clara PratsJ Valls

Abstract

The lag phase has been widely studied for years in an effort to contribute to the improvement of food safety. Many analytical models have been built and tested by several authors. The use of Individual-based Modelling (IbM) allows us to probe deeper into the behaviour of individual cells; it is a bridge between theories and experiments when needed. INDividual DIScrete SIMulation (INDISIM) has been developed and coded by our group as an IbM simulator and used to study bacterial growth, including the microscopic causes of the lag phase. First of all, the evolution of cellular masses, specifically the mean mass and biomass distribution, is shown to be a determining factor in the beginning of the exponential phase. Secondly, whenever there is a need for an enzyme synthesis, its rate has a direct effect on the lag duration. The variability of the lag phase with different factors is also studied. The known decrease of the lag phase with an increase in the temperature is also observed in the simulations. An initial study of the relationship between individual and collective lag phases is presented, as a complement to the studies already published. One important result is the variability of the individual lag times and generation times...Continue Reading

References

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Citations

Apr 1, 2008·Journal of Biological Physics·Jordi FerrerDaniel López
Jul 17, 2013·BMC Bioinformatics·Ben NiuLi Li
Mar 30, 2010·Bio Systems·M S LiJ R Saunders
Mar 11, 2008·Journal of Theoretical Biology·Clara PratsJosep Vives-Rego
Aug 25, 2015·Applied Microbiology and Biotechnology·Daniel S EsserKatrin M Meyer
Jul 17, 2007·Journal of Theoretical Biology·Jordi FerrerDomingo Gargallo

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