Literature DB >> 31405911

Differential Modulation of Quorum Sensing Signaling through QslA in Pseudomonas aeruginosa Strains PAO1 and PA14.

T G Sana1, R Lomas2, M R Gimenez3, A Laubier3, C Soscia3, C Chauvet3, A Conesa4, R Voulhoux3, B Ize3, S Bleves1.   

Abstract

Two clinical isolates of the opportunist pathogen Pseudomonas aeruginosa named PAO1 and PA14 are commonly studied in research laboratories. Despite the isolates being closely related, PA14 exhibits increased virulence compared to that of PAO1 in various models. To determine which players are responsible for the hypervirulence phenotype of the PA14 strain, we elected a transcriptomic approach through RNA sequencing. We found 2,029 genes that are differentially expressed between the two strains, including several genes that are involved with or regulated by quorum sensing (QS), known to control most of the virulence factors in P. aeruginosa Among them, we chose to focus our study on QslA, an antiactivator of QS whose expression was barely detectable in the PA14 strain according our data. We hypothesized that lack of expression of qslA in PA14 could be responsible for higher QS expression in the PA14 strain, possibly explaining its hypervirulence phenotype. After confirming that QslA protein was highly produced in PAO1 but not in the PA14 strain, we obtained evidence showing that a PAO1 deletion strain of qslA has faster QS gene expression kinetics than PA14. Moreover, known virulence factors activated by QS, such as (i) pyocyanin production, (ii) H2-T6SS (type VI secretion system) gene expression, and (iii) Xcp-T2SS (type II secretion system) machinery production and secretion, were all lower in PAO1 than in PA14, due to higher qslA expression. However, biofilm formation and cytotoxicity toward macrophages, although increased in PA14 compared to PAO1, were independent of QslA control. Together, our findings implicated differential qslA expression as a major determinant of virulence factor expression in P. aeruginosa strains PAO1 and PA14.IMPORTANCE Pseudomonas aeruginosa is an opportunistic pathogen responsible for acute nosocomial infections and chronic pulmonary infections. P. aeruginosa strain PA14 is known to be hypervirulent in different hosts. Despite several studies in the field, the underlining molecular mechanisms sustaining this phenotype remain enigmatic. Here we provide evidence that the PA14 strain has faster quorum sensing (QS) kinetics than the PAO1 strain, due to the lack of QslA expression, an antiactivator of QS. QS is a major regulator of virulence factors in P. aeruginosa; therefore, we propose that the hypervirulent phenotype of the PA14 strain is, at least partially, due to the lack of QslA expression. This mechanism could be of great importance, as it could be conserved among other P. aeruginosa isolates.
Copyright © 2019 American Society for Microbiology.

Entities:  

Keywords:  Pseudomonas aeruginosazzm321990; T2SS; T6SS; pyocyanin; quorum sensing

Mesh:

Substances:

Year:  2019        PMID: 31405911      PMCID: PMC6779463          DOI: 10.1128/JB.00362-19

Source DB:  PubMed          Journal:  J Bacteriol        ISSN: 0021-9193            Impact factor:   3.490


  68 in total

1.  A cell-cell communication signal integrates quorum sensing and stress response.

Authors:  Jasmine Lee; Jien Wu; Yinyue Deng; Jing Wang; Chao Wang; Jianhe Wang; Changqing Chang; Yihu Dong; Paul Williams; Lian-Hui Zhang
Journal:  Nat Chem Biol       Date:  2013-03-31       Impact factor: 15.040

2.  A type VI secretion system effector delivery mechanism dependent on PAAR and a chaperone-co-chaperone complex.

Authors:  Brianne J Burkinshaw; Xiaoye Liang; Megan Wong; Alexander N H Le; Linh Lam; Tao G Dong
Journal:  Nat Microbiol       Date:  2018-04-09       Impact factor: 17.745

3.  Genome diversity of Pseudomonas aeruginosa PAO1 laboratory strains.

Authors:  Jens Klockgether; Antje Munder; Jens Neugebauer; Colin F Davenport; Frauke Stanke; Karen D Larbig; Stephan Heeb; Ulrike Schöck; Thomas M Pohl; Lutz Wiehlmann; Burkhard Tümmler
Journal:  J Bacteriol       Date:  2009-12-18       Impact factor: 3.490

4.  Quorum sensing differentially regulates Pseudomonas aeruginosa type VI secretion locus I and homologous loci II and III, which are required for pathogenesis.

Authors:  B Lesic; M Starkey; J He; R Hazan; L G Rahme
Journal:  Microbiology (Reading)       Date:  2009-06-04       Impact factor: 2.777

5.  Dueling quorum sensing systems in Pseudomonas aeruginosa control the production of the Pseudomonas quinolone signal (PQS).

Authors:  Stephen McGrath; Dana S Wade; Everett C Pesci
Journal:  FEMS Microbiol Lett       Date:  2004-01-15       Impact factor: 2.742

6.  The Pseudomonas aeruginosa quinolone signal molecule overcomes the cell density-dependency of the quorum sensing hierarchy, regulates rhl-dependent genes at the onset of stationary phase and can be produced in the absence of LasR.

Authors:  Stephen P Diggle; Klaus Winzer; Siri Ram Chhabra; Kathryn E Worrall; Miguel Cámara; Paul Williams
Journal:  Mol Microbiol       Date:  2003-10       Impact factor: 3.501

7.  Synthesis of multiple exoproducts in Pseudomonas aeruginosa is under the control of RhlR-RhlI, another set of regulators in strain PAO1 with homology to the autoinducer-responsive LuxR-LuxI family.

Authors:  J M Brint; D E Ohman
Journal:  J Bacteriol       Date:  1995-12       Impact factor: 3.490

8.  Ultrafast and memory-efficient alignment of short DNA sequences to the human genome.

Authors:  Ben Langmead; Cole Trapnell; Mihai Pop; Steven L Salzberg
Journal:  Genome Biol       Date:  2009-03-04       Impact factor: 13.583

9.  Interactions of the quorum sensing regulator QscR: interaction with itself and the other regulators of Pseudomonas aeruginosa LasR and RhlR.

Authors:  Fouzia Ledgham; Isabelle Ventre; Chantal Soscia; Maryline Foglino; James N Sturgis; Andrée Lazdunski
Journal:  Mol Microbiol       Date:  2003-04       Impact factor: 3.501

10.  HTSeq--a Python framework to work with high-throughput sequencing data.

Authors:  Simon Anders; Paul Theodor Pyl; Wolfgang Huber
Journal:  Bioinformatics       Date:  2014-09-25       Impact factor: 6.937

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