Reprogramming of anaerobic metabolism by the FnrS Small RNA
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ABSTRACT:
ORGANISM(S): Escherichia coli
PROVIDER: GSE19655 | GEO | 2009/12/30
SECONDARY ACCESSION(S): PRJNA122555
REPOSITORIES: GEO
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Project description:Background: Salmonella enterica serovar Typhimurium (S. Typhimurium) is a Gram-negative pathogen that must successfully adapt to the broad fluctuations in the concentration of dissolved dioxygen encountered in the host. In Escherichia coli, ArcA (Aerobic Respiratory Control) helps the cells to sense and respond to the presence of dioxygen. The global role of ArcA in E. coli is well characterized; however, little is known about its role in anaerobically grown S. Typhimurium. Results: We compared the transcriptional profiles of the virulent wild-type (WT) strain (ATCC 14028s) and its isogenic arcA mutant grown under anaerobic conditions. We found that ArcA directly or indirectly regulates 392 genes (8.5% of the genome); of these, 138 genes are poorly characterized. Regulation by ArcA in S. Typhimurium is similar, but distinct from that in E. coli. Thus, genes/operons involved in core metabolic pathways (e.g., succinyl-CoA, fatty acid degradation, cytochrome oxidase complexes, flagellar biosynthesis, motility, and chemotaxis) were regulated similarly in the two organisms. However, genes/operons present in both organisms, but regulated differently by ArcA in S. Typhimurium included those coding for ethanolamine utilization, lactate transport and metabolism, and succinate dehydrogenases. Salmonella-specific genes/operons regulated by ArcA included those required for propanediol utilization, flagellar genes (mcpAC, cheV), Gifsy-1 prophage genes, and a few SPI-3 genes (mgtBC, slsA, STM3784). In agreement with our microarray data, the arcA mutant was non-motile, lacked flagella, and was as virulent in mice as the WT. Furthermore, we identified a set of 120 genes whose regulation was shared with the anaerobic redox regulator, Fnr. Conclusion(s): We have identified the ArcA regulon in anaerobically grown S. Typhimurium. Our results demonstrated that in S. Typhimurium, ArcA serves as a transcriptional regulator coordinating cellular metabolism, flagella biosynthesis, and motility. Furthermore, ArcA and Fnr share in the regulation of 120 S. Typhimurium genes.
2011-02-10 | GSE24564 | GEO
Project description:Determining how facultative anaerobic organisms sense and direct cellular responses to electron acceptor availability has been a subject of intense study. However, even in the model organism Escherichia coli, established mechanisms only explain a small fraction of the hundreds of genes that are regulated during shifts in electron acceptor availability. Here we propose a qualitative model that accounts for the full breadth of regulated genes by detailing how two global transcription factors (TFs), ArcA and Fnr of E. coli, sense key metabolic redox ratios and act on a genome-wide basis to regulate anabolic, catabolic, and energy generation pathways. We first fill gaps in our knowledge of this transcriptional regulatory network by carrying out ChIP-chip and gene expression experiments to identify 463 regulatory events. We then interfaced this reconstructed regulatory network with a highly curated genome-scale metabolic model to show that ArcA and Fnr regulate > 80% of total metabolic flux and 96% of differential gene expression across fermentative and nitrate respiratory conditions. Finally, based on the data we propose a feedforward with feedback trim regulatory scheme by showing extensive repression of catabolic genes by ArcA and extensive activation of chemiosmotic genes by Fnr. We further corroborated this regulatory scheme by showing a 0.71 r2 (p < 1e-6) correlation between changes in metabolic flux and changes in regulatory activity across fermentative and nitrate respiratory conditions. We also are able to relate the proposed model to a wealth of previously generated data by contextualizing the existing transcriptional regulatory network. We integrated transcription factor binding regions and mRNA transcript abundance to elucidate the ArcA and Fnr regulons experimentally. To measure transcription factor binding at a genome scale, we employed a ChIP-chip method to derivative strains of E. coli K-12 MG1655 harboring ArcA-8myc or Fnr-8myc under various conditions. The E. coli strains harboring Fnr-8myc and ArcA-8myc were generated as described previously [PMID 16454042]. A 12 chip study with two different strains under two different culture conditions.
2014-02-27 | E-GEOD-55366 | biostudies-arrayexpress
Project description:Determining how facultative anaerobic organisms sense and direct cellular responses to electron acceptor availability has been a subject of intense study. However, even in the model organism Escherichia coli, established mechanisms only explain a small fraction of the hundreds of genes that are regulated during shifts in electron acceptor availability. Here we propose a qualitative model that accounts for the full breadth of regulated genes by detailing how two global transcription factors (TFs), ArcA and Fnr of E. coli, sense key metabolic redox ratios and act on a genome-wide basis to regulate anabolic, catabolic, and energy generation pathways. We first fill gaps in our knowledge of this transcriptional regulatory network by carrying out ChIP-chip and gene expression experiments to identify 463 regulatory events. We then interfaced this reconstructed regulatory network with a highly curated genome-scale metabolic model to show that ArcA and Fnr regulate > 80% of total metabolic flux and 96% of differential gene expression across fermentative and nitrate respiratory conditions. Finally, based on the data we propose a feedforward with feedback trim regulatory scheme by showing extensive repression of catabolic genes by ArcA and extensive activation of chemiosmotic genes by Fnr. We further corroborated this regulatory scheme by showing a 0.71 r2 (p < 1e-6) correlation between changes in metabolic flux and changes in regulatory activity across fermentative and nitrate respiratory conditions. We also are able to relate the proposed model to a wealth of previously generated data by contextualizing the existing transcriptional regulatory network.
2014-02-27 | GSE55366 | GEO
Project description:Determining how facultative anaerobic organisms sense and direct cellular responses to electron acceptor availability has been a subject of intense study. However, even in the model organism Escherichia coli, established mechanisms only explain a small fraction of the hundreds of genes that are regulated during shifts in electron acceptor availability. Here we propose a qualitative model that accounts for the full breadth of regulated genes by detailing how two global transcription factors (TFs), ArcA and Fnr of E. coli, sense key metabolic redox ratios and act on a genome-wide basis to regulate anabolic, catabolic, and energy generation pathways. We first fill gaps in our knowledge of this transcriptional regulatory network by carrying out ChIP-chip and gene expression experiments to identify 463 regulatory events. We then interfaced this reconstructed regulatory network with a highly curated genome-scale metabolic model to show that ArcA and Fnr regulate > 80% of total metabolic flux and 96% of differential gene expression across fermentative and nitrate respiratory conditions. Finally, based on the data we propose a feedforward with feedback trim regulatory scheme by showing extensive repression of catabolic genes by ArcA and extensive activation of chemiosmotic genes by Fnr. We further corroborated this regulatory scheme by showing a 0.71 r2 (p < 1e-6) correlation between changes in metabolic flux and changes in regulatory activity across fermentative and nitrate respiratory conditions. We also are able to relate the proposed model to a wealth of previously generated data by contextualizing the existing transcriptional regulatory network.
2014-02-27 | GSE55365 | GEO
Project description:Determining how facultative anaerobic organisms sense and direct cellular responses to electron acceptor availability has been a subject of intense study. However, even in the model organism Escherichia coli, established mechanisms only explain a small fraction of the hundreds of genes that are regulated during shifts in electron acceptor availability. Here we propose a qualitative model that accounts for the full breadth of regulated genes by detailing how two global transcription factors (TFs), ArcA and Fnr of E. coli, sense key metabolic redox ratios and act on a genome-wide basis to regulate anabolic, catabolic, and energy generation pathways. We first fill gaps in our knowledge of this transcriptional regulatory network by carrying out ChIP-chip and gene expression experiments to identify 463 regulatory events. We then interfaced this reconstructed regulatory network with a highly curated genome-scale metabolic model to show that ArcA and Fnr regulate > 80% of total metabolic flux and 96% of differential gene expression across fermentative and nitrate respiratory conditions. Finally, based on the data we propose a feedforward with feedback trim regulatory scheme by showing extensive repression of catabolic genes by ArcA and extensive activation of chemiosmotic genes by Fnr. We further corroborated this regulatory scheme by showing a 0.71 r2 (p < 1e-6) correlation between changes in metabolic flux and changes in regulatory activity across fermentative and nitrate respiratory conditions. We also are able to relate the proposed model to a wealth of previously generated data by contextualizing the existing transcriptional regulatory network. Biological replicates were performed in triplicate for M-NM-^Tfnr, M-NM-^TarcA, and wild type Escherichia coli K12 MG1655 strains under both fully fermentative and nitrate respiratory conditions. An 18 chip study with three different strains under two different culture conditions.
2014-02-27 | E-GEOD-55365 | biostudies-arrayexpress
Project description:We found many binding sites for ArcA under glucose fermentative anaerobic growth conditions. Descirbed in the manuscript "The response regulator ArcA uses a diverse binding site architechture to globally regulate carbon oxidation in E. coli" Examination of occupancy of ArcA under anaerobic growth conditions.
2013-10-17 | E-GEOD-46414 | biostudies-arrayexpress
Project description:The fumarate and nitrate reductase regulator protein, FNR, is a global transcription factor that regulates major biochemical changes as Escherichia coli adapts from aerobic to anaerobic growth. The ability of an fnr mutant to grow anaerobically in the presence of trimethylamine-N-oxide (TMAO) as the terminal electron acceptor was exploited in microarray experiments designed to determine a minimum number of Escherichia coli K-12 MG1655 operons that are regulated directly by FNR. In an anaerobic glycerol-TMAO-fumarate medium, the fnr mutant grew as well as the parental strain, enabling us to reveal the response of the E. coli transcriptome to oxygen, nitrate and nitrite in the absence of glucose repression or artefacts due to variations in growth rate. Many of the discrepancies between previous microarray studies of the E. coli FNR regulon were resolved in this study. First data for 43 previously characterised FNR-dependent operons were analysed. The current microarray data confirmed 32 of these 43 assignments, but alone did not confirm FNR-activation of 5 operons (adhE, glpTQ, cydDC, hlyE and arcA), or FNR repression of 6 operons (hemA, narXL, tpx, yeiL, norVW or ubiCA). Thirty-six operons not previously known to be included in the FNR regulon were activated by FNR and a further 26 operons appeared to be repressed. For each of these operons, an excellent match to the consensus FNR-binding site sequence was identified. The FNR regulon therefore minimally includes at least 94, and possibly as many as 105, operons. Many FNR-activated promoters are also regulated by one or both of two nitrate- and nitrite-responsive two-component regulatory systems, NarX-NarL and NarQ-NarP. Comparison of transcripts in the parental strain and a narXL deletion mutant revealed that transcription of 51 operons is activated, directly or indirectly, by NarL in response to nitrate, and a further 41 are repressed. As phosphorylated NarL can bind to the NarP DNA target sequence, the narP gene was also deleted from the narXL mutant to reveal the extent of regulation by phosphorylated NarP. Fourteen promoters were more active in the narP+ strain than in the mutant, and a further 37 were strongly repressed. This is the first report that NarP might function as a global repressor as well as a transcription activator. The data also revealed possible new biochemical defence mechanisms against reactive nitrogen species. Keywords: genetic modification, growth conditions
2005-11-21 | GSE3591 | GEO
Project description:We found many binding sites for FNR under glucose fermentative anaerobic growth conditions. Also, many binding sites were identified for σ70 under both aerobic and anaerobic growthin conditions. Descirbed in the manuscript "Genome-scale Analysis of E. coli FNR Reveals the Complexity of Bacterial Regulon Structure"
2013-06-20 | GSE41187 | GEO
Project description:We found many binding sites for ArcA under glucose fermentative anaerobic growth conditions. Descirbed in the manuscript "The response regulator ArcA uses a diverse binding site architechture to globally regulate carbon oxidation in E. coli"
2013-10-17 | GSE46414 | GEO
Project description:We found many binding sites for FNR under glucose fermentative anaerobic growth conditions. Also, many binding sites were identified for M-OM-^C70 under both aerobic and anaerobic growthin conditions. Descirbed in the manuscript "Genome-scale Analysis of E. coli FNR Reveals the Complexity of Bacterial Regulon Structure" Examination of occupancy of FNR adn M-OM-^C70 under aerobic and anaerobic growth in conditions.
2013-06-20 | E-GEOD-41187 | biostudies-arrayexpress