title: Computational models of populations of bacteria and lytic phage.
abstract: The use of phages to control and reduce numbers of unwanted bacteria can be traced back to the early 1900s, when phages were explored as a tool to treat infections before the wide scale use of antibiotics. Recently, phage therapy has received renewed interest as a method to treat multiresistant bacteria. Phages are also widely used in the food industry to prevent the growth of certain bacteria in foods, and are currently being explored as a tool for use in bioremediation and wastewater treatment. Despite the large body of biological research on phages, relatively little attention has been given to computational modeling of the population dynamics of phage and bacterial interactions. The earliest model was described by Campbell in the 1960s. Subsequent modifications to this model include partial or complete resistance, multiple phage binding sites, and spatial heterogeneity. This review provides a general introduction to modeling of the population dynamics of bacteria and phage. The review introduces the basic model and relevant concepts and evaluates more complex variations of the basic model published to date, including a model of disease epidemics caused by infectious bacteria. Finally, the shortcomings and potential ways to improve the models are discussed.
authors.affiliation: a Department of Chemical and Biomolecular Engineering , University of Melbourne , Parkville , Australia.
authors.forename: Konrad
authors.initials: K
authors.lastname: Krysiak-Baltyn
authors.affiliation: a Department of Chemical and Biomolecular Engineering , University of Melbourne , Parkville , Australia.
authors.forename: Gregory J O
authors.initials: GJ
authors.lastname: Martin
authors.affiliation: a Department of Chemical and Biomolecular Engineering , University of Melbourne , Parkville , Australia.
authors.forename: Anthony D
authors.initials: AD
authors.lastname: Stickland
authors.affiliation: a Department of Chemical and Biomolecular Engineering , University of Melbourne , Parkville , Australia.
authors.forename: Peter J
authors.initials: PJ
authors.lastname: Scales
authors.affiliation: a Department of Chemical and Biomolecular Engineering , University of Melbourne , Parkville , Australia.
authors.forename: Sally L
authors.initials: SL
authors.lastname: Gras
mesh_terms: D000818:Animals; D001419:Bacteria / Q000235:genetics / Q000821:virology*; D001424:Bacterial Infections / Q000382:microbiology / Q000628:therapy*; D018407:Bacterial Physiological Phenomena; D001435:Bacteriophages / Q000235:genetics / Q000502:physiology*; D001691:Biological Therapy; D006801:Humans; D008954:Models, Biological
keywords: Computational modeling; phage; population dynamics