Cargando…

Burst statistics in an early biofilm quorum sensing model: the role of spatial colony-growth heterogeneity

Quorum-sensing bacteria in a growing colony of cells send out signalling molecules (so-called “autoinducers”) and themselves sense the autoinducer concentration in their vicinity. Once—due to increased local cell density inside a “cluster” of the growing colony—the concentration of autoinducers exce...

Descripción completa

Detalles Bibliográficos
Autores principales: Kindler, Oliver, Pulkkinen, Otto, Cherstvy, Andrey G., Metzler, Ralf
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6700081/
https://www.ncbi.nlm.nih.gov/pubmed/31427659
http://dx.doi.org/10.1038/s41598-019-48525-2
_version_ 1783444791821860864
author Kindler, Oliver
Pulkkinen, Otto
Cherstvy, Andrey G.
Metzler, Ralf
author_facet Kindler, Oliver
Pulkkinen, Otto
Cherstvy, Andrey G.
Metzler, Ralf
author_sort Kindler, Oliver
collection PubMed
description Quorum-sensing bacteria in a growing colony of cells send out signalling molecules (so-called “autoinducers”) and themselves sense the autoinducer concentration in their vicinity. Once—due to increased local cell density inside a “cluster” of the growing colony—the concentration of autoinducers exceeds a threshold value, cells in this clusters get “induced” into a communal, multi-cell biofilm-forming mode in a cluster-wide burst event. We analyse quantitatively the influence of spatial disorder, the local heterogeneity of the spatial distribution of cells in the colony, and additional physical parameters such as the autoinducer signal range on the induction dynamics of the cell colony. Spatial inhomogeneity with higher local cell concentrations in clusters leads to earlier but more localised induction events, while homogeneous distributions lead to comparatively delayed but more concerted induction of the cell colony, and, thus, a behaviour close to the mean-field dynamics. We quantify the induction dynamics with quantifiers such as the time series of induction events and burst sizes, the grouping into induction families, and the mean autoinducer concentration levels. Consequences for different scenarios of biofilm growth are discussed, providing possible cues for biofilm control in both health care and biotechnology.
format Online
Article
Text
id pubmed-6700081
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-67000812019-08-21 Burst statistics in an early biofilm quorum sensing model: the role of spatial colony-growth heterogeneity Kindler, Oliver Pulkkinen, Otto Cherstvy, Andrey G. Metzler, Ralf Sci Rep Article Quorum-sensing bacteria in a growing colony of cells send out signalling molecules (so-called “autoinducers”) and themselves sense the autoinducer concentration in their vicinity. Once—due to increased local cell density inside a “cluster” of the growing colony—the concentration of autoinducers exceeds a threshold value, cells in this clusters get “induced” into a communal, multi-cell biofilm-forming mode in a cluster-wide burst event. We analyse quantitatively the influence of spatial disorder, the local heterogeneity of the spatial distribution of cells in the colony, and additional physical parameters such as the autoinducer signal range on the induction dynamics of the cell colony. Spatial inhomogeneity with higher local cell concentrations in clusters leads to earlier but more localised induction events, while homogeneous distributions lead to comparatively delayed but more concerted induction of the cell colony, and, thus, a behaviour close to the mean-field dynamics. We quantify the induction dynamics with quantifiers such as the time series of induction events and burst sizes, the grouping into induction families, and the mean autoinducer concentration levels. Consequences for different scenarios of biofilm growth are discussed, providing possible cues for biofilm control in both health care and biotechnology. Nature Publishing Group UK 2019-08-19 /pmc/articles/PMC6700081/ /pubmed/31427659 http://dx.doi.org/10.1038/s41598-019-48525-2 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Kindler, Oliver
Pulkkinen, Otto
Cherstvy, Andrey G.
Metzler, Ralf
Burst statistics in an early biofilm quorum sensing model: the role of spatial colony-growth heterogeneity
title Burst statistics in an early biofilm quorum sensing model: the role of spatial colony-growth heterogeneity
title_full Burst statistics in an early biofilm quorum sensing model: the role of spatial colony-growth heterogeneity
title_fullStr Burst statistics in an early biofilm quorum sensing model: the role of spatial colony-growth heterogeneity
title_full_unstemmed Burst statistics in an early biofilm quorum sensing model: the role of spatial colony-growth heterogeneity
title_short Burst statistics in an early biofilm quorum sensing model: the role of spatial colony-growth heterogeneity
title_sort burst statistics in an early biofilm quorum sensing model: the role of spatial colony-growth heterogeneity
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6700081/
https://www.ncbi.nlm.nih.gov/pubmed/31427659
http://dx.doi.org/10.1038/s41598-019-48525-2
work_keys_str_mv AT kindleroliver burststatisticsinanearlybiofilmquorumsensingmodeltheroleofspatialcolonygrowthheterogeneity
AT pulkkinenotto burststatisticsinanearlybiofilmquorumsensingmodeltheroleofspatialcolonygrowthheterogeneity
AT cherstvyandreyg burststatisticsinanearlybiofilmquorumsensingmodeltheroleofspatialcolonygrowthheterogeneity
AT metzlerralf burststatisticsinanearlybiofilmquorumsensingmodeltheroleofspatialcolonygrowthheterogeneity