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A compendium of antibiotic-induced transcription profiles reveals broad regulation of P. multocida virulence genes

ABSTRACT: Treatment of bacteria with antibiotics at or close to the inhibitory concentration leads to specific transcriptional responses often affecting target genes and targets pathways. A dataset of transcriptional profiles (compendium) induced by antibiotics with known mode-of-action (MoA) can be used to gain information on the putative MoA of novel substances with unknown MoAs. We used a Pasteurella multocida microarray to generate a compendium of transcriptional profiles and to obtain information on the putative MoA of a novel antibiotic compound. We also show a strong impact of the bacteriostatic antibiotics on P. multocida virulence gene transcription. Keywords: antibiotica treatment, time course

ORGANISM(S): Pasteurella multocida Pasteurella multocida subsp. multocida str. Pm70

PROVIDER: GSE10051 | GEO | 2008/06/01

SECONDARY ACCESSION(S): PRJNA108625

REPOSITORIES: GEO

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A compendium of antibiotic-induced transcription profiles reveals broad regulation of P. multocida virulence genes

Project description:Treatment of bacteria with antibiotics at or close to the inhibitory concentration leads to specific transcriptional responses often affecting target genes and targets pathways. A dataset of transcriptional profiles (compendium) induced by antibiotics with known mode-of-action (MoA) can be used to gain information on the putative MoA of novel substances with unknown MoAs. We used a Pasteurella multocida microarray to generate a compendium of transcriptional profiles and to obtain information on the putative MoA of a novel antibiotic compound. We also show a strong impact of the bacteriostatic antibiotics on P. multocida virulence gene transcription. Keywords: antibiotica treatment, time course Midlog-grown cultures of P. multocida were treated for 10 or 30 min with 8 different antibiotics and one novel compound (thiazin) at minimal inhibitory concentrations (MICs) and were harvested. Control bacteria were not-treated and harvested at approximately the same optical density an OD578 of ~ 0.5. Total RNA was extracted from these samples and labelled with biotin. P. multocida whole genome transcriptional profiling was performed by hybridization on the custom-made Affymetrix microarray according to the manufacturerâs instructions. The experiments were done in triplicates.

2008-06-01 | E-GEOD-10051 | biostudies-arrayexpress

Comparison of the transcriptomes of a Pasteurella multocida VP161 wild-type strain with a Pasteurella multocida VP161 hfq mutant

Project description:Objectives: To determine the transcripts that are differentially expressed in a hfq mutant. Hfq is an RNA chaperone that mediates many interactions between regultory RNAs and their mRNA targets. Analysis of the transcriptomes of the Pasteurella multocida wild-type strain and the Pasteurella multocida hfq mutant will allow for identification of genes controlled by hfq and the sRNAs with which it interacts. Methods: RNA sequencing was employed to determine the transcriptomes of a wild-type Pasteurella multocida strain and a hfq mutant strain. Comparison of these two transcriptomes allows for determination of differentially expressed genes and therefore those genes controlled by Hfq and sRNAs with which it interacts.

2016-03-02 | E-GEOD-77721 | biostudies-arrayexpress

Comparison of the transcriptomes of a Pasteurella multocida VP161 wild-type strain with a Pasteurella multocida VP161 hfq mutant

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Pasteurella multocida Hfq mutant

Project description:Quantitative proteomics comparison wt and Hfq mutant Pasteurella multocida strains.

2016-03-14 | PXD003586 | Pride

The transcriptional response of Pasteurella multocida to three classes of antibiotics

Project description:We studied the effects of three classes of antibiotics (amoxicillin, chlortetracycline and enrofloxacin ) on P. multocida transcriptome using custom oligonucleotide microarrays from Nimblegen systems. All the 2015 genes of Pm70 were spotted on the array and hybridizations were carried out with RNA isolated from three independent cultures of Pm70 grown in the presence or absence of sub-minimum inhibitory (sub-MIC) doses of antibiotics. Differentially expressed genes were identified by ANOVA and Dunnett’s test. Biological modeling of the differentially expressed genes (DE) was carried out based on Clusters of Orthologous (COG) groups and network analysis in Pathway Studio. Keywords: Response to sub-MIC antibiotics The experimental design included three biological replicate cultures of P. multocida grown in the absence or presence of sub-MIC antibiotics. Effects of antibiotics on the transcriptome with each antibiotic were determined by comparing the growth in the presence of antibiotic (treatment) to growth in the absence of antibiotic (control).

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Predictive signatures of 19 antibiotics-induced Escherichia coli proteomes

Project description:Identifying the mode of action (MOA) of antibacterial compounds is the fundamental basis for the development of new antibiotics, and the challenge increases with the emerging secondary and indirect effect from antibiotic stress. Although various omics-based system biology approaches of defining antibiotic MOA are currently available, they still need improved throughput, accuracy and comprehensiveness. Using high resolution accurate mass (HR/AM) based proteomics, we present here a comprehensive reference map of proteomic signatures of Escherichia coli under antibiotics challenge. With state-of-the-art label-free approach, we quantified > 1,500 protein groups in response to 19 FDA-approved antibiotics. Applying several machine learning techniques, we derived a panel of 14 proteins that can be used to classify antibiotics into different MOAs with nearly 100% accuracy. Interestingly, these proteins tend to mediate diverse bacterial cellular and metabolic processes. Transcriptomic level profiling correlates well with changes in protein expression in discriminating different antibiotics. Such expression signatures will aid future studies in identifying MOA of unknown compounds and facilitate the discovery of novel antibiotics. In summary, our study offers a practical approach for effective and rapid proteomic profiling, establishes a high quality reference compendium of microbial proteome in response to a wide range of antibiotics exposure, and provides a previously undescribed group of proteins and RNAs that allows rapid antibiotic classification and MOA determination.

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The role of the RNA chaperone protein ProQ in Pasteurella multocida

Project description:The Gram-negative pathogen Pasteurella multocida is responsible for many important animal diseases. While a number of P. multocida virulence factors have been identified, very little is known about how gene expression and protein production is regulated in this organism. One mechanism by which bacteria regulate transcript abundance and protein production is riboregulation, which involves the interaction of a small RNA (sRNA) with a target mRNA to alter transcript stability and/or translational efficiency. This interaction often requires stabilization by a ribosome binding protein such as ProQ or Hfq. In E. coli and other species, ProQ has been shown to play a critical role in stabilizing sRNA-mRNA interactions and preferentially binds to 3’ stem-loop regions of the mRNA transcripts, characteristic of intrinsic transcriptional terminators. The aim of this study was to determine the role of ProQ riboregulation in P. multocida and identify the RNA regions to which it binds. We assessed differentially expressed transcripts in a proQ mutant and identified sites of direct ProQ-RNA interaction using in vivo UV-crosslinking and analysis of cDNA (CRAC). These analyses demonstrated that ProQ binds to, and stabilises, ProQ-dependant sRNAs and transfer RNAs in P. multocida via adenosine enriched, highly structured sequences. The binding of ProQ to two RNA molecules was characterised and showed that ProQ bound within the coding sequence of the uncharacterized PmVP161_1121 and within the 3’ region of the sRNA Prrc13.

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Genome-wide investigation of Pasteurella multocida identifies the stringent response as a negative regulator of hyaluronic acid capsule production

Project description:Pasteurella multocida is a Gram-negative capsulated bacterium responsible for a range of diseases that cause severe morbidity and mortality in livestock animals. The hyaluronic acid (HA) capsule produced by P. multocida serogroup A strains is a critical virulence factor. In this study, we utilised transposon-directed insertion site sequencing (TraDIS) to identify genes essential for in vitro growth of P. multocida, and combined TraDIS with discontinuous density gradients (TraDISort) to identify genes required for HA capsule production and regulation in this pathogen. Analysis of mutants with a high cell density phenotype, indicative of the loss of extracellular capsule, led to the identification of 69 genes important for capsule production. These genes included all previously characterized genes in the capsule biosynthesis locus, and fis and hfq that encode known positive regulators of P. multocida capsule. Many of the other capsule-associated genes identified in this study were involved in regulation or activation of the stringent response, including spoT and relA that encode proteins that regulate the concentration of guanosine alarmones. Disruption of the autoregulatory domains in the C-terminal half of SpoT using insertional mutagenesis resulted in reduced expression of capsule biosynthesis genes and an acapsular phenotype. Overall, these findings have greatly increased the understanding of hyaluronic acid capsule production and regulation in P. multocida.

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