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62 results for “Salmonella enterica serovar Typhimurium”
Global effects of deletion of the sdh genes, encoding succinate dehydrogenase, and of cobalt on protein abundance in stationary phase Salmonella enterica serovar Typhimurium.
<p>A common strategy that bacteria utilize to increase their survival under stressful conditions in their natural environments, including antibiotic treatment, is the entry into quiescence, a state of reversible cell growth arrest that offers protection against many environmental insults. Understanding quiescence is an important fundamental question, with relevance in the medical and environmental fields. Little is known about the molecular and physiological determinants that orchestrate survival during this temporary arrest of proliferation, or those that allow a rapid transition back to the proliferating state when conditions again become favorable. In the wide host-range pathogen <em>Salmonella enterica</em> serovar Typhimurium (S. Typhimurium) and other Gram-negative bacteria, this temporary arrest of proliferation induces the expression of the alternative sigma subunit of RNA polymerase, σS/RpoS, which remodels global gene expression to reshape the cell physiology and ensure survival under starvation and various stress conditions (<em>i.e</em>., the general stress response). One important aspect of persistence is the phenotypic differentiation of quiescent populations into sub-population(s) of "persisters" that survive in the presence of lethal concentrations of antibiotics. This phenomenon is worsening the worldwide antibiotic crisis, by causing therapy failure and chronic infections and potentially favoring the development of antibiotic resistance. Understanding mechanisms governing bacterial persisters is thus an important topic and a key issue for drug developments. However, despites many studies, the physiological and molecular mechanisms controlling the formation of persisters are poorly understood and controversial.</p> <p>We have recently discovered an unexpected functional interaction between σS and succinate dehydrogenase (Sdh) in the formation of persisters. Succinate dehydrogenase (Sdh), a membrane bound complex that connects the TCA cycle and respiratory chain, is one major target down regulated by σS (Levi-Meyrueis <em>et al</em>. 2014, 2015, Lago <em>et al.</em> 2017). Stationary-phase <em>Salmonella</em> grown in LB rich medium form persisters with a higher frequency than actively growing bacteria, after transfer to fresh LB medium in the presence of lethal concentrations of ampicillin and ciprofloxacin, but not significant effect of the Δ<em>rpoS</em> mutation on this phenomenon was observed. Surprisingly however, the Δ<em>rpoS</em> mutation suppressed the defect in persister formation of a Δ<em>sdh </em>mutant. It is very likely that the Δ<em>rpoS</em> mutation compensates for a metabolic perturbation provoked by the Δ<em>sdh </em>mutation, and key for persister formation.</p> <p>To get further insights into the synthetic rescue process involved in persisters formation, we used a mass spectrometry-based proteomics approach to compare the proteome of the wild-type, Δ<em>rpoS</em>, Δ<em>sdh</em> and Δ<em>sdh</em>Δ<em>rpoS</em> strains grown to late stationary phase in nutrient-rich LB medium. Cells were also grown in LB supplemented with cobalt to pinpoint major changes induced by cobalt on the <em>Salmonella</em> proteome. Indeed, the synthetic rescue process involved in persisters formation in the presence of ampicillin was abolished when the inoculum has been grown in the presence of a non-lethal dose of cobalt (100 μM).</p> <p><strong>Accession number</strong>.The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the dataset identifier <strong>PXD043726.</strong></p> <p><strong>See also:</strong></p> <p>NOREL, F., & MONTEIL, V. (2023). Unraveling a synthetic rescue process involved in persisters formation [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10277562</p> <p>Phégnon, L., Uttenweiler-Joseph, S., & Létisse, F. (2024). <span>Key physiological and metabolic characteristics for the differentiation of quiescent Salmonella's cells into persisters [Data set]. </span>Zenodo. <a href="https://doi.org/10.5281/zenodo.10885905" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.10885905</a></p> <p><strong>This work was supported by the French National Research Agency (ANR-19-CE44-0005-01, PERIOMET project).</strong></p> <p><strong>References</strong></p> <p>Levi-Meyrueis C, Monteil V, Sismeiro O, Dillies MA, Monot M, Jagla B<em>, et al. </em>Expanding the RpoS/sigmaS-network by RNA sequencing and identification of sigmaS-controlled small RNAs in <em>Salmonella</em>. PloS one. 2014;9(5):e96918.</p> <p>Levi-Meyrueis C, Monteil V, Sismeiro O, Dillies M-A, Kolb A, Monot M <em>et al</em>. Repressor activity of the RpoS/sigmaS-dependent RNA polymerase requires DNA binding. Nucleic Acids Res 2015 43, 1456–1468.</p> <p>Lago M, Monteil V, Douche T, Guglielmini J, Criscuolo A, Maufrais C, <em>et al</em>. Proteome remodelling by the stress sigma factor RpoS/sigma(S) in <em>Salmonella</em>: identification of small proteins and evidence for post-transcriptional regulation. Scientific reports. 2017;7(1):2127.</p> <p> </p>
Global effects of deletions of the sitABCD, mntH, cbiMNQO and corA genes, encoding transporters for manganese, cobalt and magnesium on protein abundance in Salmonella enterica serovar Typhimurium grown to stationary phase in LB.
<p>The RpoS/σS sigma subunit of RNA polymerase is the master regulator of the general stress response in many Gram-negative bacteria.</p><p>We have shown that in <i>Salmonella enterica </i>serovar Typhimurium, RpoS activates transcription of the <i>sitABCD</i> and <i>mntH </i> genes, involved in iron and manganese transport, and that of <i>corA</i> encoding the main magnesium transporter (Levi-Meyrueis <i>et al</i>. 2014, Metaane <i>et al</i>. 2022, Metaane <i>et al. </i>2023). In addition, RpoS represses expression of the CbiO protein produced from the <i>cbiMNQO</i> operon encoding a high affinity cobalt uptake system (Lago <i>et al.</i> 2017, Metaane <i>et al</i>. 2022, Metaane <i>et al. </i>2023). Moreover, Inductively coupled plasma mass spectrometry analyses have revealed that the Δ<i>rpoS</i> mutation reduces the cellular concentration of manganese and magnesium and increases the concentration of cobalt of stationary phase <i>Salmonella </i>(Metaane <i>et al. </i>2022). These findings suggested that a tight control of uptake and availability of manganese, magnesium and cobalt might be critical for quiescent bacteria. Consistent with this hypothesis, our recent findings unraveled the importance of RpoS and magnesium in the regrowth potential of quiescent <i>Salmonella</i> cells (Metaane <i>et al</i>. 2022).</p><p>Unexpectedly, our recent work revealed that, under magnesium proficient environmental conditions, the absence of the housekeeping Mg2+ transporter CorA is sensed by the cell which induces compensatory mechanisms to minimize the impact of a Δ<i>corA</i> mutation on protein content, magnesium homeostasis, growth, and motility of <i>Salmonella </i>(Metaane <i>et al. </i>2023). In this study, we used a mass spectrometry-based proteomics approach to address the physiological impact of the SitABCD, MntH and CbiMNQO transporters on quiescent <i>Salmonella. </i>A comprehensive quantitative proteomic analysis was performed using wild-type and Δ<i>rpoS </i>strains of <i>Salmonella</i> ATCC14028 carrying deletions of these genes and grown to late stationary phase in nutrient-rich LB medium, <i>i.e</i>. the growth conditions previously used to characterize the RpoS- transcriptome, proteome and ionome (Levi-Meyrueis <i>et al.</i> 2014, Lago <i>et al. </i>2017, Metaane <i>et al. </i>2022). Since CorA can also import cobalt, a Δ<i>corA</i> mutation was included and combined with the Δ<i>cbiMNQO</i> mutation. </p><p><strong>Accession number</strong>.The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the dataset identifier <strong>PXD043760</strong>.</p><p><strong>This work was supported by the French National Research Agency (ANR-19-CE44-0005-01, PERIOMET project).</strong></p><p><strong>References</strong></p><p>Levi-Meyrueis C, Monteil V, Sismeiro O, Dillies MA, Monot M, Jagla B, Coppée J-Y, Dupuy B, Norel F. Expanding the RpoS/sigmaS-network by RNA sequencing and identification of sigmaS-controlled small RNAs in <i>Salmonella</i>. PloS one. 2014;9(5):e96918.</p><p>Lago M, Monteil V, Douche T, Guglielmini J, Criscuolo A, Maufrais C, Matondo M, Norel F. Proteome remodelling by the stress sigma factor RpoS/sigma(S) in <i>Salmonella</i>: identification of small proteins and evidence for post-transcriptional regulation. Scientific reports. 2017;7(1):2127.</p><p>Metaane S, Monteil V, Ayrault S, Bordier L, Levi-Meyreuis C, Norel F. The stress sigma factor sigmaS/RpoS counteracts Fur repression of genes involved in iron and manganese metabolism and modulates the ionome of <i>Salmonella enterica </i>serovar Typhimurium. PLoS one. 2022;17(3):e0265511.</p><p>Metaane S, Monteil V, Douché T, Giai Gianetto Q, Matondo M, Maufrais C, Norel F. Loss of CorA, the primary magnesium transporter of <i>Salmonella, </i>is alleviated by MgtA and PhoP-dependent compensatory mechanisms. PloS one 2023;18(9):e0291736.</p><p>NOREL, & MONTEIL. (2023). Ionome analysis of Salmonella mutants by Inductively coupled plasma mass spectrometry (ICP-MS) (Version v1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.8085835</p><p> </p><p> </p>
General response of Salmonella enterica serovar Typhimurium to desiccation: A new role for the virulence factors sopD and sseD in survival.
GEO Series GSE86580. Salmonella enterica subsp. enterica serovar Typhimurium str. ATCC 14028. 2 samples. Type: Expression profiling by high throughput sequencing.
Search for genes affected by mgtC leader expression in Salmonella enterica serovar Typhimurium 14028s (2)
GEO Series GSE100414. Salmonella enterica subsp. enterica serovar Typhimurium str. 14028S. 4 samples. Type: Expression profiling by high throughput sequencing.
ChIP-on-chip of OmpR binding in Salmonella enterica serovar Typhimurium strain SL1344 and E.scherichia coli strain CSH50 at pH 7 and pH 4.5 including analysis of OmpR binding in SL1344 in the absence
GEO Series GSE49914. Escherichia coli K-12; Salmonella enterica subsp. enterica serovar Typhimurium str. SL1344; Salmonella enterica subsp. enterica serovar Typhimurium. 21 samples. Type: Genome binding/occupancy profiling by array.
Comparative RNA seq analysis of Salmonella enterica serovar Typhimurium and a pan methionine sulfoxide reductase gene deletion (Δ5msr mutant) strain
GEO Series GSE318288. Salmonella enterica subsp. enterica serovar Typhimurium. 6 samples. Type: Expression profiling by high throughput sequencing.
Experimental promoter identification of a representative food-borne pathogen Salmonella enterica serovar Typhimurium LT2 with near single base-pair resolution
GEO Series GSE119965. Salmonella enterica subsp. enterica serovar Typhimurium str. LT2; Escherichia coli str. K-12 substr. MG1655. 8 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Expression profiling by array of Salmonella enterica serovar Typhimurium (SL1344) qseC mutant x wild type
GEO Series GSE38353. Salmonella enterica; Salmonella enterica subsp. enterica serovar Typhimurium str. SL1344. 1 samples. Type: Expression profiling by array.
Impact of TLR7 on Salmonella enterica serovar Typhimurium (STM) infection of bone marrow-derived macrophages (BMDMs)
GEO Series GSE103750. Mus musculus. 7 samples. Type: Expression profiling by array.
Experimental promoter identification of a representative food-borne pathogen Salmonella enterica serovar Typhimurium LT2 with near single base-pair resolution (RNA-seq)
GEO Series GSE119966. Salmonella enterica subsp. enterica serovar Typhimurium str. LT2. 2 samples. Type: Expression profiling by high throughput sequencing.
Effect of msbB knockout on gene expression of Salmonella enterica subsp. enterica serovar Typhimurium str. 14028S
GEO Series GSE304712. Salmonella enterica subsp. enterica serovar Typhimurium str. 14028S. 4 samples. Type: Expression profiling by high throughput sequencing.
Search for genes affected by mgtC leader expression in Salmonella enterica serovar Typhimurium 14028s
GEO Series GSE85678. Salmonella enterica subsp. enterica serovar Typhimurium str. 14028s Wu. 2 samples. Type: Expression profiling by high throughput sequencing.
ChIP-chip of RNA Polymerase (RNAP) and RpoD in Salmonella enterica serovar Typhimurium strain SL1344
GEO Series GSE35827. Salmonella enterica subsp. enterica serovar Typhimurium str. SL1344; Salmonella enterica subsp. enterica serovar Typhimurium. 5 samples. Type: Genome binding/occupancy profiling by genome tiling array.
Search for genes affected by MgtC overexpression in Salmonella enterica serovar Typhimurium 14028s
GEO Series GSE103153. Salmonella enterica subsp. enterica serovar Typhimurium str. 14028S. 4 samples. Type: Expression profiling by high throughput sequencing.
RNA-seq data from mouse BMDMs infected with Salmonella enterica serovar Typhimurium
GEO Series GSE239543. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.
Experimental promoter identification of a representative food-borne pathogen Salmonella enterica serovar Typhimurium LT2 with near single base-pair resolution
GEO Series GSE119967. Salmonella enterica subsp. enterica serovar Typhimurium str. LT2; Escherichia coli str. K-12 substr. MG1655. 10 samples. Type: Genome binding/occupancy profiling by high throughput sequencing; Expression profiling by high throughput sequencing.
Exposure of Salmonella enterica serovar Typhimurium to three humectants used in the food industry: NaCl, KCl and glycerol
GEO Series GSE69857. Salmonella enterica subsp. enterica serovar Typhimurium str. ST4/74; Salmonella enterica subsp. enterica serovar Typhimurium str. SL1344. 30 samples. Type: Expression profiling by array.
Salmonella enterica serovar Typhimurium strain 14028s transcriptome response to lettuce media
GEO Series GSE123152. Salmonella enterica. 9 samples. Type: Expression profiling by high throughput sequencing.
Transcriptome RNA Sequencing Data Set of Differential Gene Expression in Salmonella enterica serovar Typhimurium 14028S within Acanthamoeba castellanii, and under Oxidative and Starvation Stress Condi
GEO Series GSE270532. Salmonella enterica subsp. enterica serovar Typhimurium str. ATCC 14028. 22 samples. Type: Expression profiling by high throughput sequencing.
Effect of disruption of tonB, exbB, exbD and MccY treatment on gene expression in Salmonella enterica subsp. enterica serovar Typhimurium
GEO Series GSE214184. Salmonella enterica subsp. enterica serovar Typhimurium. 12 samples. Type: Expression profiling by high throughput sequencing.
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