Literature DB >> 31796567

Conditional Hfq Association with Small Noncoding RNAs in Pseudomonas aeruginosa Revealed through Comparative UV Cross-Linking Immunoprecipitation Followed by High-Throughput Sequencing.

Kotaro Chihara1,2, Thorsten Bischler3, Lars Barquist4,5, Vivian A Monzon6, Naohiro Noda1,2, Jörg Vogel4,7, Satoshi Tsuneda8.   

Abstract

Bacterial small noncoding RNAs (sRNAs) play posttranscriptional regulatory roles in cellular responses to changing environmental cues and in adaptation to harsh conditions. Generally, the RNA-binding protein Hfq helps sRNAs associate with target mRNAs to modulate their translation and to modify global RNA pools depending on physiological state. Here, a combination of in vivo UV cross-linking immunoprecipitation followed by high-throughput sequencing (CLIP-seq) and total RNA-seq showed that Hfq interacts with different regions of the Pseudomonas aeruginosa transcriptome under planktonic versus biofilm conditions. In the present approach, P. aeruginosa Hfq preferentially interacted with repeats of the AAN triplet motif at mRNA 5' untranslated regions (UTRs) and sRNAs and U-rich sequences at rho-independent terminators. Further transcriptome analysis suggested that the association of sRNAs with Hfq is primarily a function of their expression levels, strongly supporting the notion that the pool of Hfq-associated RNAs is equilibrated by RNA concentration-driven cycling on and off Hfq. Overall, our combinatorial CLIP-seq and total RNA-seq approach highlights conditional sRNA associations with Hfq as a novel aspect of posttranscriptional regulation in P. aeruginosa IMPORTANCE The Gram-negative bacterium P. aeruginosa is ubiquitously distributed in diverse environments and can cause severe biofilm-related infections in at-risk individuals. Although the presence of a large number of putative sRNAs and widely conserved RNA chaperones in this bacterium implies the importance of posttranscriptional regulatory networks for environmental fluctuations, limited information is available regarding the global role of RNA chaperones such as Hfq in the P. aeruginosa transcriptome, especially under different environmental conditions. Here, we characterize Hfq-dependent differences in gene expression and biological processes in two physiological states: the planktonic and biofilm forms. A combinatorial comparative CLIP-seq and total RNA-seq approach uncovered condition-dependent association of RNAs with Hfq in vivo and expands the potential direct regulatory targets of Hfq in the P. aeruginosa transcriptome.
Copyright © 2019 Chihara et al.

Entities:  

Keywords:  CLIP-seq; Hfq; Pseudomonas aeruginosa; biofilms; noncoding RNA

Year:  2019        PMID: 31796567     DOI: 10.1128/mSystems.00590-19

Source DB:  PubMed          Journal:  mSystems        ISSN: 2379-5077            Impact factor:   6.496


  6 in total

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

Authors:  Kotaro Chihara; Lars Barquist; Kenichi Takasugi; Naohiro Noda; Satoshi Tsuneda
Journal:  RNA Biol       Date:  2021-04-27       Impact factor: 4.652

2.  Solution structure and RNA-binding of a minimal ProQ-homolog from Legionella pneumophila (Lpp1663).

Authors:  Carina Immer; Carolin Hacker; Jens Wöhnert
Journal:  RNA       Date:  2020-09-28       Impact factor: 4.942

3.  Hfq and sRNA 179 Inhibit Expression of the Pseudomonas aeruginosa cAMP-Vfr and Type III Secretion Regulons.

Authors:  Kayley H Janssen; Jodi M Corley; Louise Djapgne; J T Cribbs; Deven Voelker; Zachary Slusher; Robert Nordell; Elizabeth E Regulski; Barbara I Kazmierczak; Emily Williams McMackin; Timothy L Yahr
Journal:  mBio       Date:  2020-06-16       Impact factor: 7.867

4.  Grad-seq in a Gram-positive bacterium reveals exonucleolytic sRNA activation in competence control.

Authors:  Jens Hör; Geneviève Garriss; Silvia Di Giorgio; Lisa-Marie Hack; Jens T Vanselow; Konrad U Förstner; Andreas Schlosser; Birgitta Henriques-Normark; Jörg Vogel
Journal:  EMBO J       Date:  2020-03-30       Impact factor: 11.598

5.  The core and accessory Hfq interactomes across Pseudomonas aeruginosa lineages.

Authors:  Julian Trouillon; Kook Han; Ina Attrée; Stephen Lory
Journal:  Nat Commun       Date:  2022-03-10       Impact factor: 14.919

6.  Introducing differential RNA-seq mapping to track the early infection phase for Pseudomonas phage ɸKZ.

Authors:  Laura Wicke; Falk Ponath; Lucas Coppens; Milan Gerovac; Rob Lavigne; Jörg Vogel
Journal:  RNA Biol       Date:  2020-10-25       Impact factor: 4.652

  6 in total

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