Literature DB >> 31260693

Phenotypic Diversification of Microbial Pathogens-Cooperating and Preparing for the Future.

Larissa Schröter1, Petra Dersch2.   

Abstract

Recent studies revealed an amazing phenotypic heterogeneity between genetically identical individual cells within populations of microbial pathogens. During the course of an infection, subpopulations occur, which differ in certain virulence-relevant factors, stress adaptation functions or physiological and metabolic abilities. The mechanisms driving this heterogeneity are divergent reactions of the pathogens to differences in host tissue microenvironments. In addition, certain genetic regulatory circuits with positive feedback loops and stochastic differences in gene expression can generate endogenous fluctuations in regulatory components leading to bistable expression of virulence-associated functions. Here, we focus on the occurrence of phenotypic heterogeneity in populations of well-studied examples of pathogens, which enables cooperative, social behavior where a subpopulation of producers shares fitness- and/or virulence-relevant goods and traits with non-producers. We further highlight that this strategy allows preadaptation of a subgroup of cells to recurrent and thus predictable changes of the environment that they encounter during the different stages of the infection. The diversity within bacterial communities has a significant influence on the survival of the pathogens within their hosts and the progression of the disease.
Copyright © 2019 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  bacterial virulence; bistability; cooperativity; phenotypic heterogeneity

Mesh:

Substances:

Year:  2019        PMID: 31260693     DOI: 10.1016/j.jmb.2019.06.024

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  8 in total

1.  Single-Cell Analysis of Mycobacteria Using Microfluidics and Time-Lapse Microscopy.

Authors:  Giulia Manina; Neeraj Dhar
Journal:  Methods Mol Biol       Date:  2021

Review 2.  Tackling microbial threats in agriculture with integrative imaging and computational approaches.

Authors:  Nikhil Kumar Singh; Anik Dutta; Guido Puccetti; Daniel Croll
Journal:  Comput Struct Biotechnol J       Date:  2020-12-29       Impact factor: 7.271

3.  Genome-Wide Identification and Expression Analysis of SOS Response Genes in Salmonella enterica Serovar Typhimurium.

Authors:  Angela Mérida-Floriano; Will P M Rowe; Josep Casadesús
Journal:  Cells       Date:  2021-04-19       Impact factor: 6.600

4.  The Aspergillus fumigatus Secretome Alters the Proteome of Pseudomonas aeruginosa to Stimulate Bacterial Growth: Implications for Co-infection.

Authors:  Anatte Margalit; James C Carolan; David Sheehan; Kevin Kavanagh
Journal:  Mol Cell Proteomics       Date:  2020-05-23       Impact factor: 5.911

5.  RNase E and HupB dynamics foster mycobacterial cell homeostasis and fitness.

Authors:  Anna Griego; Thibaut Douché; Quentin Giai Gianetto; Mariette Matondo; Giulia Manina
Journal:  iScience       Date:  2022-04-12

Review 6.  Waddington's Landscapes in the Bacterial World.

Authors:  María A Sánchez-Romero; Josep Casadesús
Journal:  Front Microbiol       Date:  2021-06-04       Impact factor: 5.640

7.  Contribution of DNA adenine methylation to gene expression heterogeneity in Salmonella enterica.

Authors:  María A Sánchez-Romero; David R Olivenza; Gabriel Gutiérrez; Josep Casadesús
Journal:  Nucleic Acids Res       Date:  2020-12-02       Impact factor: 16.971

8.  Metabolomic profiling of Burkholderia cenocepacia in synthetic cystic fibrosis sputum medium reveals nutrient environment-specific production of virulence factors.

Authors:  Olakunle A Jaiyesimi; Andrew C McAvoy; David N Fogg; Neha Garg
Journal:  Sci Rep       Date:  2021-11-01       Impact factor: 4.379

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.