Literature DB >> 19946800

Bacteria can form interconnected microcolonies when a self-excreted product reduces their surface motility: evidence from individual-based model simulations.

Nabil Mabrouk1, Guillaume Deffuant, Tim Tolker-Nielsen, Claude Lobry.   

Abstract

Recent experimental observations of Pseudomonas aeruginosa, a model bacterium in biofilm research, reveal that, under specific growth conditions, bacterial cells form patterns of interconnected microcolonies. In the present work, we use an individual-based model to assess the involvement of bacteria motility and self-produced extracellular substance in the formation of these patterns. In our simulations, the pattern of interconnected microcolonies appears only when bacteria motility is reduced by excreted extracellular macromolecules. Immotile bacteria form isolated microcolonies and constantly motile bacteria form flat biofilms. Based on experimental data and computer simulations, we suggest a mechanism that could be responsible for these interconnected microcolonies.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19946800     DOI: 10.1007/s12064-009-0078-8

Source DB:  PubMed          Journal:  Theory Biosci        ISSN: 1431-7613            Impact factor:   1.919


  24 in total

Review 1.  Microbial biofilms: from ecology to molecular genetics.

Authors:  M E Davey; G A O'toole
Journal:  Microbiol Mol Biol Rev       Date:  2000-12       Impact factor: 11.056

2.  Extracellular DNA required for bacterial biofilm formation.

Authors:  Cynthia B Whitchurch; Tim Tolker-Nielsen; Paula C Ragas; John S Mattick
Journal:  Science       Date:  2002-02-22       Impact factor: 47.728

3.  Non-local concepts and models in biology.

Authors:  C T Lee; M F Hoopes; J Diehl; W Gilliland; G Huxel; E V Leaver; K McCann; J Umbanhowar; A Mogilner
Journal:  J Theor Biol       Date:  2001-05-21       Impact factor: 2.691

4.  Competence for natural transformation in Neisseria gonorrhoeae: components of DNA binding and uptake linked to type IV pilus expression.

Authors:  Finn Erik Aas; Matthew Wolfgang; Stephan Frye; Steven Dunham; Cecilia Løvold; Michael Koomey
Journal:  Mol Microbiol       Date:  2002-11       Impact factor: 3.501

Review 5.  Mathematical modelling of biofilm structures.

Authors:  M C M van Loosdrecht; J J Heijnen; H Eberl; J Kreft; C Picioreanu
Journal:  Antonie Van Leeuwenhoek       Date:  2002-08       Impact factor: 2.271

6.  Exopolysaccharide biosynthesis genes required for social motility in Myxococcus xanthus.

Authors:  Ann Lu; Kyunyung Cho; Wesley P Black; Xue-Yan Duan; Renate Lux; Zhaomin Yang; Heidi B Kaplan; David R Zusman; Wenyuan Shi
Journal:  Mol Microbiol       Date:  2005-01       Impact factor: 3.501

7.  A characterization of DNA release in Pseudomonas aeruginosa cultures and biofilms.

Authors:  Marie Allesen-Holm; Kim Bundvig Barken; Liang Yang; Mikkel Klausen; Jeremy S Webb; Staffan Kjelleberg; Søren Molin; Michael Givskov; Tim Tolker-Nielsen
Journal:  Mol Microbiol       Date:  2006-02       Impact factor: 3.501

8.  Individual-based modelling: an essential tool for microbiology.

Authors:  Jordi Ferrer; Clara Prats; Daniel López
Journal:  J Biol Phys       Date:  2008-07-19       Impact factor: 1.365

9.  Individual-based modelling of biofilms.

Authors:  J U Kreft; C Picioreanu; J W Wimpenny; M C van Loosdrecht
Journal:  Microbiology       Date:  2001-11       Impact factor: 2.777

10.  Roles of type IV pili, flagellum-mediated motility and extracellular DNA in the formation of mature multicellular structures in Pseudomonas aeruginosa biofilms.

Authors:  Kim B Barken; Sünje J Pamp; Liang Yang; Morten Gjermansen; Jacob J Bertrand; Mikkel Klausen; Michael Givskov; Cynthia B Whitchurch; Joanne N Engel; Tim Tolker-Nielsen
Journal:  Environ Microbiol       Date:  2008-05-15       Impact factor: 5.491

View more
  4 in total

1.  Challenges of biofilm control and utilization: lessons from mathematical modelling.

Authors:  Paulina A Dzianach; Gary A Dykes; Norval J C Strachan; Ken J Forbes; Francisco J Pérez-Reche
Journal:  J R Soc Interface       Date:  2019-06-12       Impact factor: 4.118

2.  How do environment-dependent switching rates between susceptible and persister cells affect the dynamics of biofilms faced with antibiotics?

Authors:  Gabriel Carvalho; Damien Balestrino; Christiane Forestier; Jean-Denis Mathias
Journal:  NPJ Biofilms Microbiomes       Date:  2018-03-15       Impact factor: 7.290

3.  Novel multiscale modeling tool applied to Pseudomonas aeruginosa biofilm formation.

Authors:  Matthew B Biggs; Jason A Papin
Journal:  PLoS One       Date:  2013-10-17       Impact factor: 3.240

4.  Biophysical controls on cluster dynamics and architectural differentiation of microbial biofilms in contrasting flow environments.

Authors:  Iris Hödl; Lorenzo Mari; Enrico Bertuzzo; Samir Suweis; Katharina Besemer; Andrea Rinaldo; Tom J Battin
Journal:  Environ Microbiol       Date:  2013-07-23       Impact factor: 5.491

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.