title: Population dynamics of a Salmonella lytic phage and its host: implications of the host bacterial growth rate in modelling.
abstract: The prevalence and impact of bacteriophages in the ecology of bacterial communities coupled with their ability to control pathogens turn essential to understand and predict the dynamics between phage and bacteria populations. To achieve this knowledge it is essential to develop mathematical models able to explain and simulate the population dynamics of phage and bacteria. We have developed an unstructured mathematical model using delay-differential equations to predict the interactions between a broad-host-range Salmonella phage and its pathogenic host. The model takes into consideration the main biological parameters that rule phage-bacteria interactions likewise the adsorption rate, latent period, burst size, bacterial growth rate, and substrate uptake rate, among others. The experimental validation of the model was performed with data from phage-interaction studies in a 5 L bioreactor. The key and innovative aspect of the model was the introduction of variations in the latent period and adsorption rate values that are considered as constants in previous developed models. By modelling the latent period as a normal distribution of values and the adsorption rate as a function of the bacterial growth rate it was possible to accurately predict the behaviour of the phage-bacteria population. The model was shown to predict simulated data with a good agreement with the experimental observations and explains how a lytic phage and its host bacteria are able to coexist.
authors: Centre of Biological Engineering, Universidade do Minho, Braga, Portugal.
authors: Sílvio B
authors: SB
authors: Santos
authors: Centre of Biological Engineering, Universidade do Minho, Braga, Portugal.
authors: Carla
authors: C
authors: Carvalho
authors: Centre of Biological Engineering, Universidade do Minho, Braga, Portugal.
authors: Joana
authors: J
authors: Azeredo
authors: Centre of Biological Engineering, Universidade do Minho, Braga, Portugal.
authors: Eugénio C
authors: EC
authors: Ferreira
mesh_terms: D000465:Algorithms; D056265:Microbial Interactions; D008954:Models, Biological; D012483:Salmonella Phages / Q000502:physiology*; D012477:Salmonella enteritidis / Q000254:growth & development* / Q000821:virology