Literature DB >> 29866805

RsmV, a Small Noncoding Regulatory RNA in Pseudomonas aeruginosa That Sequesters RsmA and RsmF from Target mRNAs.

Kayley H Janssen1, Manisha R Diaz1, Cindy J Gode2, Matthew C Wolfgang3,2, Timothy L Yahr4.   

Abstract

The Gram-negative opportunistic pathogen Pseudomonas aeruginosa has distinct genetic programs that favor either acute or chronic virulence gene expression. Acute virulence is associated with twitching and swimming motility, expression of a type III secretion system (T3SS), and the absence of alginate, Psl, or Pel polysaccharide production. Traits associated with chronic infection include growth as a biofilm, reduced motility, and expression of a type VI secretion system (T6SS). The Rsm posttranscriptional regulatory system plays important roles in the inverse control of phenotypes associated with acute and chronic virulence. RsmA and RsmF are RNA-binding proteins that interact with target mRNAs to control gene expression at the posttranscriptional level. Previous work found that RsmA activity is controlled by at least three small, noncoding regulatory RNAs (RsmW, RsmY, and RsmZ). In this study, we took an in silico approach to identify additional small RNAs (sRNAs) that might function in the sequestration of RsmA and/or RsmF (RsmA/RsmF) and identified RsmV, a 192-nucleotide (nt) transcript with four predicted RsmA/RsmF consensus binding sites. RsmV is capable of sequestering RsmA and RsmF in vivo to activate translation of tssA1, a component of the T6SS, and to inhibit T3SS gene expression. Each of the predicted RsmA/RsmF consensus binding sites contributes to RsmV activity. Electrophoretic mobility shifts assays show that RsmF binds RsmV with >10-fold higher affinity than RsmY and RsmZ. Gene expression studies revealed that the temporal expression pattern of RsmV differs from those of RsmW, RsmY, and RsmZ. These findings suggest that each sRNA may play a distinct role in controlling RsmA and RsmF activity.IMPORTANCE The members of the CsrA/RsmA family of RNA-binding proteins play important roles in posttranscriptional control of gene expression. The activity of CsrA/RsmA proteins is controlled by small noncoding RNAs that function as decoys to sequester CsrA/RsmA from target mRNAs. Pseudomonas aeruginosa has two CsrA family proteins (RsmA and RsmF) and at least four sequestering sRNAs (RsmV [identified in this study], RsmW, RsmY, and RsmZ) that control RsmA/RsmF activity. RsmY and RsmZ are the primary sRNAs that sequester RsmA/RsmF, and RsmV and RsmW appear to play smaller roles. Differences in the temporal and absolute expression levels of the sRNAs and in their binding affinities for RsmA/RsmF may provide a mechanism of fine-tuning the output of the Rsm system in response to environmental cues.
Copyright © 2018 American Society for Microbiology.

Entities:  

Keywords:  Pseudomonas aeruginosa; RsmA; RsmF; RsmV; RsmW; RsmY; RsmZ; type III secretion; type VI secretion

Mesh:

Substances:

Year:  2018        PMID: 29866805      PMCID: PMC6060366          DOI: 10.1128/JB.00277-18

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


  49 in total

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2.  Identification of the cystic fibrosis gene: cloning and characterization of complementary DNA.

Authors:  J R Riordan; J M Rommens; B Kerem; N Alon; R Rozmahel; Z Grzelczak; J Zielenski; S Lok; N Plavsic; J L Chou
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3.  Mutational analysis of RetS, an unusual sensor kinase-response regulator hybrid required for Pseudomonas aeruginosa virulence.

Authors:  Michelle A Laskowski; Barbara I Kazmierczak
Journal:  Infect Immun       Date:  2006-08       Impact factor: 3.441

Review 4.  Pathogen-host interactions in Pseudomonas aeruginosa pneumonia.

Authors:  Ruxana T Sadikot; Timothy S Blackwell; John W Christman; Alice S Prince
Journal:  Am J Respir Crit Care Med       Date:  2005-02-01       Impact factor: 21.405

5.  CsrA activates flhDC expression by protecting flhDC mRNA from RNase E-mediated cleavage.

Authors:  Alexander V Yakhnin; Carol S Baker; Christopher A Vakulskas; Helen Yakhnin; Igor Berezin; Tony Romeo; Paul Babitzke
Journal:  Mol Microbiol       Date:  2013-01-11       Impact factor: 3.501

6.  The AlgZR two-component system recalibrates the RsmAYZ posttranscriptional regulatory system to inhibit expression of the Pseudomonas aeruginosa type III secretion system.

Authors:  Peter J Intile; Manisha R Diaz; Mark L Urbanowski; Matthew C Wolfgang; Timothy L Yahr
Journal:  J Bacteriol       Date:  2013-11-01       Impact factor: 3.490

7.  Structural rearrangement in an RsmA/CsrA ortholog of Pseudomonas aeruginosa creates a dimeric RNA-binding protein, RsmN.

Authors:  Elizabeth R Morris; Gareth Hall; Chan Li; Stephan Heeb; Rahul V Kulkarni; Laura Lovelock; Hazel Silistre; Marco Messina; Miguel Cámara; Jonas Emsley; Paul Williams; Mark S Searle
Journal:  Structure       Date:  2013-08-15       Impact factor: 5.006

8.  The phzA2-G2 transcript exhibits direct RsmA-mediated activation in Pseudomonas aeruginosa M18.

Authors:  Bin Ren; Huifeng Shen; Zhi John Lu; Haiming Liu; Yuquan Xu
Journal:  PLoS One       Date:  2014-02-24       Impact factor: 3.240

9.  BswR controls bacterial motility and biofilm formation in Pseudomonas aeruginosa through modulation of the small RNA rsmZ.

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Journal:  Nucleic Acids Res       Date:  2014-02-03       Impact factor: 16.971

10.  SuhB is a regulator of multiple virulence genes and essential for pathogenesis of Pseudomonas aeruginosa.

Authors:  Kewei Li; Chang Xu; Yongxin Jin; Ziyu Sun; Chang Liu; Jing Shi; Gukui Chen; Ronghao Chen; Shouguang Jin; Weihui Wu
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  21 in total

1.  RNase E Promotes Expression of Type III Secretion System Genes in Pseudomonas aeruginosa.

Authors:  Josh S Sharp; Arne Rietsch; Simon L Dove
Journal:  J Bacteriol       Date:  2019-10-21       Impact factor: 3.490

Review 2.  Diversity, versatility and complexity of bacterial gene regulation mechanisms: opportunities and drawbacks for applications in synthetic biology.

Authors:  Indra Bervoets; Daniel Charlier
Journal:  FEMS Microbiol Rev       Date:  2019-05-01       Impact factor: 16.408

3.  Host Adaptation Predisposes Pseudomonas aeruginosa to Type VI Secretion System-Mediated Predation by the Burkholderia cepacia Complex.

Authors:  Andrew I Perault; Courtney E Chandler; David A Rasko; Robert K Ernst; Matthew C Wolfgang; Peggy A Cotter
Journal:  Cell Host Microbe       Date:  2020-08-04       Impact factor: 21.023

4.  Widespread targeting of nascent transcripts by RsmA in Pseudomonas aeruginosa.

Authors:  Michael J Gebhardt; Tracy K Kambara; Kathryn M Ramsey; Simon L Dove
Journal:  Proc Natl Acad Sci U S A       Date:  2020-04-24       Impact factor: 11.205

5.  Global identification of RsmA/N binding sites in Pseudomonas aeruginosa by in vivo UV CLIP-seq.

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Journal:  RNA Biol       Date:  2021-04-27       Impact factor: 4.652

6.  Exploring the expression and functionality of the rsm sRNAs in Pseudomonas syringae pv. tomato DC3000.

Authors:  María-Dolores Ferreiro; Lara Vanessa Behrmann; Ana Corral; Joaquina Nogales; María-Trinidad Gallegos
Journal:  RNA Biol       Date:  2021-02-23       Impact factor: 4.652

Review 7.  Posttranscription Initiation Control of Gene Expression Mediated by Bacterial RNA-Binding Proteins.

Authors:  Paul Babitzke; Ying-Jung Lai; Andrew J Renda; Tony Romeo
Journal:  Annu Rev Microbiol       Date:  2019-05-17       Impact factor: 16.232

8.  Direct Inhibition of RetS Synthesis by RsmA Contributes to Homeostasis of the Pseudomonas aeruginosa Gac/Rsm Signaling System.

Authors:  Jodi M Corley; Peter Intile; Timothy L Yahr
Journal:  J Bacteriol       Date:  2022-01-18       Impact factor: 3.476

Review 9.  Small RNAs as Fundamental Players in the Transference of Information During Bacterial Infectious Diseases.

Authors:  Juan José González Plaza
Journal:  Front Mol Biosci       Date:  2020-06-16

10.  Harnessing Metabolic Regulation to Increase Hfq-Dependent Antibiotic Susceptibility in Pseudomonas aeruginosa.

Authors:  Petra Pusic; Elisabeth Sonnleitner; Beatrice Krennmayr; Dorothea A Heitzinger; Michael T Wolfinger; Armin Resch; Udo Bläsi
Journal:  Front Microbiol       Date:  2018-11-09       Impact factor: 5.640

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