Literature DB >> 22108738

Cross-strain quorum sensing inhibition by Staphylococcus aureus. Part 2: A spatially inhomogeneous model.

Sara Jabbari1, John R King, Paul Williams.   

Abstract

Staphylococcus aureus uses quorum sensing (QS) to enhance its pathogenicity. An intriguing aspect of this is that different strains are capable of inactivating the QS systems of opposing strains. In Part 1 of this study, we presented a model of this phenomenon in a well-mixed environment; here, we incorporate spatial structure. Two competitive strains occupying adjacent habitats with freely diffusing QS signal molecules (QSSMs) are considered. We investigate the effect of the QSSM diffusion coefficient and the relative size of the two populations on the ability of one population to dominate the other. Regarding population size, a larger population is generally at an advantage (initial conditions permitting), while the implications of different diffusivities are more complex and depend upon the sizes of the populations.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 22108738     DOI: 10.1007/s11538-011-9702-0

Source DB:  PubMed          Journal:  Bull Math Biol        ISSN: 0092-8240            Impact factor:   1.758


  5 in total

1.  Influence of the AgrC-AgrA complex on the response time of Staphylococcus aureus quorum sensing.

Authors:  Sandeep K Srivastava; Kalagiri Rajasree; Aneesa Fasim; Gayathri Arakere; Balasubramanian Gopal
Journal:  J Bacteriol       Date:  2014-05-23       Impact factor: 3.490

2.  From Staphylococcus aureus gene regulation to its pattern formation.

Authors:  A Oelker; T Horger; C Kuttler
Journal:  J Math Biol       Date:  2019-04-04       Impact factor: 2.259

Review 3.  Therapeutic Targeting of the Staphylococcus aureus Accessory Gene Regulator (agr) System.

Authors:  Li Tan; Si Rui Li; Bei Jiang; Xiao Mei Hu; Shu Li
Journal:  Front Microbiol       Date:  2018-01-25       Impact factor: 5.640

4.  Mathematical model predicts anti-adhesion-antibiotic-debridement combination therapies can clear an antibiotic resistant infection.

Authors:  Paul A Roberts; Ryan M Huebinger; Emma Keen; Anne-Marie Krachler; Sara Jabbari
Journal:  PLoS Comput Biol       Date:  2019-07-23       Impact factor: 4.475

5.  Predictive modelling of a novel anti-adhesion therapy to combat bacterial colonisation of burn wounds.

Authors:  Paul A Roberts; Ryan M Huebinger; Emma Keen; Anne-Marie Krachler; Sara Jabbari
Journal:  PLoS Comput Biol       Date:  2018-05-03       Impact factor: 4.475

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.