title: Random variation and concentration effects in PCR.
abstract: Even though the efficiency of the polymerase chain reaction (PCR) reaction decreases, analyses are made in terms of Galton-Watson processes, or simple deterministic models with constant replication probability (efficiency). Recently, Schnell and Mendoza have suggested that the form of the efficiency, can be derived from enzyme kinetics. This results in the sequence of molecules numbers forming a stochastic process with the properties of a branching process with population size dependence, which is supercritical, but has a mean reproduction number that approaches one. Such processes display ultimate linear growth, after an initial exponential phase, as is the case in PCR. It is also shown that the resulting stochastic process for a large Michaelis-Menten constant behaves like the deterministic sequence x(n) arising by iterations of the function f(x)=x+x/(1+x).
authors.affiliation: School of Mathematical Sciences, Chalmers University of Technology, Gothenburg, Sweden. jagers@math.chalmers.se
authors.forename: Peter
authors.initials: P
authors.lastname: Jagers
authors.forename: Fima
authors.initials: F
authors.lastname: Klebaner
mesh_terms: D014644:Genetic Variation; D015233:Models, Statistical; D016133:Polymerase Chain Reaction; D012680:Sensitivity and Specificity