title: Mathematical Modelling of Bacterial Quorum Sensing: A Review.
abstract: Bacterial quorum sensing (QS) refers to the process of cell-to-cell bacterial communication enabled through the production and sensing of the local concentration of small molecules called autoinducers to regulate the production of gene products (e.g. enzymes or virulence factors). Through autoinducers, bacteria interact with individuals of the same species, other bacterial species, and with their host. Among QS-regulated processes mediated through autoinducers are aggregation, biofilm formation, bioluminescence, and sporulation. Autoinducers are therefore "master" regulators of bacterial lifestyles. For over 10 years, mathematical modelling of QS has sought, in parallel to experimental discoveries, to elucidate the mechanisms regulating this process. In this review, we present the progress in mathematical modelling of QS, highlighting the various theoretical approaches that have been used and discussing some of the insights that have emerged. Modelling of QS has benefited almost from the onset of the involvement of experimentalists, with many of the papers which we review, published in non-mathematical journals. This review therefore attempts to give a broad overview of the topic to the mathematical biology community, as well as the current modelling efforts and future challenges.
authors: Institute of Computational Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstr. 1, 85764, Neuherberg, Germany. perez-velazquez@helmholtz-muenchen.de.|Centre for Mathematical Science, Technical University Munich, M12 Boltzmannstr. 3, 85747, Garching, Germany. perez-velazquez@helmholtz-muenchen.de.
authors: Judith
authors: 0000-0003-0969-075X
authors: J
authors: Pérez-Velázquez
authors: Institute of Computational Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstr. 1, 85764, Neuherberg, Germany.|Department of Molecular Biology and Genetics, Bilkent University, SB2, 06800, Ankara, Turkey.
authors: Meltem
authors: M
authors: Gölgeli
authors: Departamento de Microbiología y Parasitología, Facultad de Medicina, Universidad Nacional Autónoma de México, Ciudad Universitaria, Av. Universidad 3000, CP. 04510, Ciudad de México, D.F., Mexico.
authors: Rodolfo
authors: R
authors: García-Contreras
mesh_terms: D054742:Acyl-Butyrolactones / Q000378:metabolism; D000818:Animals; D001424:Bacterial Infections / Q000628:therapy; D018407:Bacterial Physiological Phenomena; D001426:Bacterial Proteins / Q000502:physiology; D018441:Biofilms / Q000254:growth & development; D005075:Biological Evolution; D006714:Homoserine / Q000031:analogs & derivatives / Q000502:physiology; D006801:Humans; D007783:Lactones; D049449:Luminescence; D055641:Mathematical Concepts; D008954:Models, Biological; D053038:Quorum Sensing / Q000502:physiology*; D014774:Virulence / Q000502:physiology
chemical_list: D054742:Acyl-Butyrolactones; D001426:Bacterial Proteins; D007783:Lactones; C091088:N-octanoylhomoserine lactone; D006714:Homoserine
keywords: Antibacterial; Autoinducers; Bacteria; Communication; Mathematical modelling; Quorum sensing; Simulations