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Molecular Mechanisms of Master Regulator VqsM mediating Quorum-sensing and Antibiotic Resistance in Pseudomonas aeruginosa

ABSTRACT: The Pseudomonas aeruginosa quorum-sensing (QS) systems contribute to bacterial homeostasis and pathogenicity. Although the AraC family transcription factor VqsM has been characterized to control the production of virulence factors and QS signaling molecules, its detailed regulatory mechanisms still remain elusive. Here, we report that VqsM directly binds to the lasI promoter region, and thus regulates its expression. To identify additional targets of VqsM in P. aeruginosa PAO1, we performed chromatin immunoprecipitation followed by high-throughput DNA sequencing (ChIP-seq) which detected 48 enriched loci harboring VqsM-binding peaks in P. aeruginosa genome. The direct regulation of these genes by VqsM has been confirmed by Electrophoretic mobility shift assays (EMSAs) and quantitative real-time polymerase chain reactions (qRT-PCR). A VqsM-binding motif is found by using MEME suite and verified by footprint assays in vitro. In addition, VqsM directly binds to the promoter regions of antibiotic resistance regulator NfxB and the master type III system regulator ExsA. Notably, the vqsM mutant displayed more resistance to two types of antibiotics and promoted bacterial survival in a mouse model, compared to the wild type PAO1 strain. Collectively, this work provides new cues to better understand the detailed regulatory networks of QS systems, T3SS, and antibiotic resistance.

ORGANISM(S): Pseudomonas aeruginosa

PROVIDER: GSE57284 | GEO | 2014/08/04

SECONDARY ACCESSION(S): PRJNA246187

REPOSITORIES: GEO

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Project description:Purpose: The goals of this study are to compare RNA-Seq transcriptomic data of P. aeruginosa PAO1 in response to chronic exposure of clindamycin and rifampicin eluted from antibiotic-impregnated catheters in a continuous biofilm culture condition. Methods: Transcriptomic profiles of P. aeruginosa PAO1 grown with catheters without antibiotic coating or with clindamycin/rifampicin coating were generated by deep sequencing, in quadruplicates, using Illumina NextSeq 550 sequencer with SE-75. FastQC and Trimmomatic (v0.39) were used for sequencing quality assessment. Raw read counts of the annotated genes were calculated using HTSeq-count. The log2 fold change and false discovery rate (FDR) were measured by edgeR. Genes with |log2FC| > 1.0 and FDR < 0.05 were considered as differential expression genes. Transcripts per million (TPM) was measured by Kallisto, which is an alignment free expression estimation tool. Results: P. aeruginosa PAO1 RNA sequencing using Illumina NextSeq 550 sequencer generated 5,205,190 of average number of reads with average read length of 65 bp and a mean coverage of 54X. Differentially regulated proteins of 877 in the planktonic cells were identified, 55 of which displayed up-regulation and 822 displayed down-regulation. On the other hand, 178 proteins were differentially expressed in the biofilm cells containing 152 up-regulated and 26 down-regulated. Conclusions: Our study represents the first detailed analysis of transcriptomes generated by RNA-seq technology after P. aeruginosa PAO1 planktonic and biofilm cells were continuously exposed to clindamycin/rifampicin-impregnated catheters. Our results show that RNA sequencing offers a comprehensive and more accurate quantitative and qualitative evaluation of mRNA content of strain PAO1 cells. We conclude that RNA-seq based transcriptome characterization would help the understanding for the mechanism of antimicrobial resistance and virulence in P. aeruginosa after exposure of antimicrobial-coated catheter.

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Molecular Mechanisms of Master Regulator VqsM mediating Quorum-sensing and Antibiotic Resistance in Pseudomonas aeruginosa

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