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      Role of the ArcAB two-component system in the resistance of Escherichia coli to reactive oxygen stress

      research-article
      1 , 1 , 1 ,
      BMC Microbiology
      BioMed Central

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          Abstract

          Background

          The global regulatory system ArcAB controls the anaerobic growth of E. coli, however, its role in aerobic conditions is not well characterized. We have previously reported that ArcA was necessary for Salmonella to resist reactive oxygen species (ROS) in aerobic conditions.

          Results

          To investigate the mechanism of ROS resistance mediated by ArcAB, we generated deletion mutants of ArcA and ArcB in E. coli. Our results demonstrated that both ArcA and ArcB were necessary for resistance to hydrogen peroxide (H 2O 2), a type of ROS, and their function in this resistance was independent from H 2O 2 scavenge. Mutagenesis analysis of ArcA indicated that ROS resistance was mediated through a distinct signaling pathway from that used in anaerobic conditions. An abundant protein flagellin was elevated at both the protein and mRNA levels in the ΔarcA mutant as compared to the wild type E. coli, and deletion of flagellin restored the resistance of the ΔarcA mutant to H 2O 2. The resistance of the ΔarcA mutant E. coli to H 2O 2 can also be restored by amino acid supplementation, suggesting that a deficiency in amino acid and/or protein synthesis in the mutant contributed to its susceptibility to H 2O 2, which is consistent with the notion that protein synthesis is necessary for ROS resistance.

          Conclusion

          Our results suggest that in addition to its role as a global regulator for anaerobic growth of bacteria, ArcAB system is also important for bacterial resistance to ROS in aerobic conditions, possibly through its influence on bacterial metabolism, especially amino acid and/or protein assimilation and synthesis.

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          Most cited references47

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          Processing of gene expression data generated by quantitative real-time RT-PCR.

          Quantitative real-time PCR represents a highly sensitive and powerful technique for the quantitation of nucleic acids. It has a tremendous potential for the high-throughput analysis of gene expression in research and routine diagnostics. However, the major hurdle is not the practical performance of the experiments themselves but rather the efficient evaluation and the mathematical and statistical analysis of the enormous amount of data gained by this technology, as these functions are not included in the software provided by the manufacturers of the detection systems. In this work, we focus on the mathematical evaluation and analysis of the data generated by quantitative real-time PCR, the calculation of the final results, the propagation of experimental variation of the measured values to the final results, and the statistical analysis. We developed a Microsoft Excel-based software application coded in Visual Basic for Applications, called Q-Gene, which addresses these points. Q-Gene manages and expedites the planning, performance, and evaluation of quantitative real-time PCR experiments, as well as the mathematical and statistical analysis, storage, and graphical presentation of the data. The Q-Gene software application is a tool to cope with complex quantitative real-time PCR experiments at a high-throughput scale and considerably expedites and rationalizes the experimental setup, data analysis, and data management while ensuring highest reproducibility.
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            Quinones as the redox signal for the arc two-component system of bacteria.

            The Arc two-component signal transduction system mediates adaptive responses of Escherichia coli to changing respiratory conditions of growth. Under anaerobic conditions, the ArcB sensor kinase autophosphorylates and then transphosphorylates ArcA, a global transcriptional regulator that controls the expression of numerous operons involved in respiratory or fermentative metabolism. We show that oxidized forms of quinone electron carriers act as direct negative signals that inhibit autophosphorylation of ArcB during aerobiosis. Thus, the Arc signal transduction system provides a link between the electron transport chain and gene expression.
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              Gene expression profiling of Escherichia coli growth transitions: an expanded stringent response model.

              When conditions cause bacterial growth to stop, extensive reprogramming of physiology and gene expression allows for the cell's survival. We used whole-genome DNA arrays to determine the system response in Escherichia coli cells experiencing transient growth arrest caused by glucose-lactose diauxie and H2O2 treatment, and also entry into stationary phase. The results show that growth-arrested cells induce stringent control of several gene systems. The vast majority of genes encoding the transcription and translation apparatus immediately downregulate, followed by a global return to steady state when growth resumes. Approximately one-half of the amino acid biosynthesis genes downregulate during growth arrest, with the notable exception of the his operon, which transiently upregulates in the diauxie experiment. Nucleotide biosynthesis downregulates, a result that is again consistent with the stringent response. Likewise, aerobic metabolism downregulates during growth arrest, and the results led us to suggest a model for stringent control of the ArcA regulon. The stationary phase stress response fully induces during growth arrest, whether transient or permanent, in a manner consistent with known mechanisms related to stringent control. Cells similarly induce the addiction module anti-toxin and toxin genes during growth arrest; the latter are known to inhibit translation and DNA replication. The results indicate that in all aspects of the response cells do not distinguish between transient and potentially permanent growth arrest (stationary phase). We introduce an expanded model for the stringent response that integrates induction of stationary phase survival genes and inhibition of transcription, translation and DNA replication. Central to the model is the reprogramming of transcription by guanosine tetraphosphate (ppGpp), which provides for the cell's rapid response to growth arrest and, by virtue of its brief half-life, the ability to quickly resume growth as changing conditions allow.
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                Author and article information

                Journal
                BMC Microbiol
                BMC Microbiology
                BioMed Central
                1471-2180
                2009
                28 August 2009
                : 9
                : 183
                Affiliations
                [1 ]Program in Infectious Diseases and Immunity, School of Public Health, University of California, Berkeley, CA 94720, USA
                Article
                1471-2180-9-183
                10.1186/1471-2180-9-183
                2748088
                19715602
                5b1fbb12-497b-4e77-a887-ea141d4f87a7
                Copyright ©2009 Loui et al; licensee BioMed Central Ltd.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 26 March 2009
                : 28 August 2009
                Categories
                Research article

                Microbiology & Virology
                Microbiology & Virology

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