Making Informed Decisions: Regulatory Interactions Between Two-Component Systems
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Genome-Wide Identification, Classification, and Analysis of Two-Component Signal System Genes in Maize
Genome-wide identification, classification, and analysis of two-component signal system genes in maize Z.X. Chu*, Q. Ma*, Y.X. Lin, X.L. Tang, Y.Q. Zhou, S.W. Zhu, J. Fan and B.J. Cheng Anhui Province Key Laboratory of Crop Biology, School of Life Science, Anhui Agricultural University, Hefei, China *These authors contributed equally to this study. Corresponding authors: B.J. Cheng / J. Fan E-mail: [email protected] / [email protected] Genet. Mol. Res. 10 (4): 3316-3330 (2011) Received March 23, 2011 Accepted August 31, 2011 Published December 8, 2011 DOI http://dx.doi.org/10.4238/2011.December.8.3 ABSTRACT. Cytokinins play many vital roles in plant development and physiology. In plants, cytokinin signals are sensed and transduced by the two-component signal system. This signaling cascade is typically com- posed of three proteins: a sensory histidine kinase, a histidine phosphotrans- fer protein, and a response regulator. Through a comprehensive genome- wide analysis of the maize (Zea mays) genome, 48 genes were identified, including 11 ZmHKs, 9 ZmHPs, and 28 ZmRRs (21 A-type ZmRRs and 7 B-type ZmRRs). Using maize genome sequence databases, we analyzed conserved protein motifs and established phylogenetic relationships based on gene structure, homology, and chromosomal location. The duplication of these two-component system genes in the maize genome corresponded to the clusters of these genes in the phylogenetic trees. Sequence analysis of the duplicate genes demonstrated that one gene may be in gene duplica- tion, and that there was significant variation in the evolutionary history of the different gene families. -
A Flexible Microfluidic System for Single-Cell Transcriptome Profiling
www.nature.com/scientificreports OPEN A fexible microfuidic system for single‑cell transcriptome profling elucidates phased transcriptional regulators of cell cycle Karen Davey1,7, Daniel Wong2,7, Filip Konopacki2, Eugene Kwa1, Tony Ly3, Heike Fiegler2 & Christopher R. Sibley 1,4,5,6* Single cell transcriptome profling has emerged as a breakthrough technology for the high‑resolution understanding of complex cellular systems. Here we report a fexible, cost‑efective and user‑ friendly droplet‑based microfuidics system, called the Nadia Instrument, that can allow 3′ mRNA capture of ~ 50,000 single cells or individual nuclei in a single run. The precise pressure‑based system demonstrates highly reproducible droplet size, low doublet rates and high mRNA capture efciencies that compare favorably in the feld. Moreover, when combined with the Nadia Innovate, the system can be transformed into an adaptable setup that enables use of diferent bufers and barcoded bead confgurations to facilitate diverse applications. Finally, by 3′ mRNA profling asynchronous human and mouse cells at diferent phases of the cell cycle, we demonstrate the system’s ability to readily distinguish distinct cell populations and infer underlying transcriptional regulatory networks. Notably this provided supportive evidence for multiple transcription factors that had little or no known link to the cell cycle (e.g. DRAP1, ZKSCAN1 and CEBPZ). In summary, the Nadia platform represents a promising and fexible technology for future transcriptomic studies, and other related applications, at cell resolution. Single cell transcriptome profling has recently emerged as a breakthrough technology for understanding how cellular heterogeneity contributes to complex biological systems. Indeed, cultured cells, microorganisms, biopsies, blood and other tissues can be rapidly profled for quantifcation of gene expression at cell resolution. -
Production of Acyl-Homoserine Lactone Quorum-Sensing Signals Is Wide- Spread in Gram-Negative Methylobacterium
J. Microbiol. Biotechnol. (2007), 17(2), 226–233 Production of Acyl-Homoserine Lactone Quorum-Sensing Signals is Wide- Spread in Gram-Negative Methylobacterium POONGUZHALI, SELVARAJ, MUNUSAMY MADHAIYAN, AND TONGMIN SA* Department of Agricultural Chemistry, Chungbuk National University, Cheongju, Chungbuk 361-763, Korea Received: August 2, 2006 Accepted: October 2, 2006 Abstract Members of Methylobacterium, referred as pink- knowledge on the Methylobacterium-plant interactions pigmented facultative methylotrophic bacteria, are frequently over the past two decades suggested interesting novel associated with terrestrial and aquatic plants, tending to form interactions between PPFMs and plants. Beneficial plant- aggregates on the phyllosphere. We report here that the production growth promoting bacteria interact with plants through of autoinducer molecules involved in the cell-to-cell signaling direct and indirect mechanisms. Direct mechanisms for the process, which is known as quorum sensing, is common among most part entail either providing the bacterial compounds Methylobacterium species. Several strains of Methylobacterium that promote plant growth or facilitating the uptake of were tested for their ability to produce N-acyl-homoserine nutrients; for example, production of phytohormones [9] lactone (AHL) signal molecules using different indicators. and siderophores [13]. The indirect effects occur through Most strains of Methylobacterium tested could elicit a suppression of one or more phytopathogenic microorganisms positive response in Agrobacterium tumefaciens harboring through biocontrol [20] or induction of plant defense lacZ fused to a gene that is regulated by autoinduction. The enzymes [14]. Beneficial effects of plant-Methylobacterium synthesis of these compounds was cell-density dependent, and associations have been suggested to be due to production the maximal activity was reached during the late exponential of phytohormones [22] and enzymes such as 1- to stationary phases. -
Chemical Communication Among Bacteria
Colloquium Chemical communication among bacteria Michiko E. Taga and Bonnie L. Bassler* Department of Molecular Biology, Princeton University, Princeton, NJ 08544-1014 Cell–cell communication in bacteria is accomplished through the Low GϩC Gram-positive bacteria typically use modified exchange of chemical signal molecules called autoinducers. This oligopeptides as autoinducers (15–17). These signals are gener- process, called quorum sensing, allows bacteria to monitor their ically referred to as autoinducing polypeptides (AIPs) (Fig. 1B). environment for the presence of other bacteria and to respond to AIPs are produced in the cytoplasm as precursor peptides and fluctuations in the number and͞or species present by altering are subsequently cleaved, modified, and exported. AIPs specif- particular behaviors. Most quorum-sensing systems are species- or ically interact with the external domains of membrane-bound group-specific, which presumably prevents confusion in mixed- two-component sensor kinase proteins. Interaction of the auto- species environments. However, some quorum-sensing circuits inducer with its cognate sensor stimulates the kinase activity of control behaviors that involve interactions among bacterial spe- the sensor kinase protein, resulting in the phosphorylation of its cies. These quorum-sensing circuits can involve both intra- and partner response regulator protein. The phosphorylated re- interspecies communication mechanisms. Finally, anti-quorum- sponse regulator protein binds DNA and alters the transcription sensing strategies are present in both bacteria and eukaryotes, and of target genes. Some examples of behaviors controlled by AIP these are apparently designed to combat bacteria that rely on quorum-sensing systems include genetic competence and sporu- cell–cell communication for the successful adaptation to particular lation in Bacillus subtilis (18, 19), competence for DNA uptake niches. -
Structure and Function of the Archaeal Response Regulator Chey
Structure and function of the archaeal response PNAS PLUS regulator CheY Tessa E. F. Quaxa, Florian Altegoerb, Fernando Rossia, Zhengqun Lia, Marta Rodriguez-Francoc, Florian Krausd, Gert Bangeb,1, and Sonja-Verena Albersa,1 aMolecular Biology of Archaea, Faculty of Biology, University of Freiburg, 79104 Freiburg, Germany; bLandes-Offensive zur Entwicklung Wissenschaftlich- ökonomischer Exzellenz Center for Synthetic Microbiology & Faculty of Chemistry, Philipps-University-Marburg, 35043 Marburg, Germany; cCell Biology, Faculty of Biology, University of Freiburg, 79104 Freiburg, Germany; and dFaculty of Chemistry, Philipps-University-Marburg, 35043 Marburg, Germany Edited by Norman R. Pace, University of Colorado at Boulder, Boulder, CO, and approved December 13, 2017 (received for review October 2, 2017) Motility is a central feature of many microorganisms and provides display different swimming mechanisms. Counterclockwise ro- an efficient strategy to respond to environmental changes. Bacteria tation results in smooth swimming in well-characterized peritri- and archaea have developed fundamentally different rotary motors chously flagellated bacteria such as Escherichia coli, whereas enabling their motility, termed flagellum and archaellum, respec- rotation in the opposite direction results in tumbling. In contrast, tively. Bacterial motility along chemical gradients, called chemo- in other bacteria (i.e., Vibrio alginolyticus) and haloarchaea, taxis, critically relies on the response regulator CheY, which, when clockwise rotation results -
Isolation of the Autoinducer-Quenching Strain That Inhibits Lasr in Pseudomonas Aeruginosa
Int. J. Mol. Sci. 2014, 15, 6328-6342; doi:10.3390/ijms15046328 OPEN ACCESS International Journal of Molecular Sciences ISSN 1422-0067 www.mdpi.com/journal/ijms Article Isolation of the Autoinducer-Quenching Strain that Inhibits LasR in Pseudomonas aeruginosa Lixing Weng 1,*, Yuqian Zhang 2, Yuxiang Yang 3 and Lianhui Wang 2,* 1 School of Geography and Biological Information, Nanjing University of Posts and Telecommunications, Nanjing 210046, Jiangsu, China 2 Jiangsu Key Laboratory for Organic Electronics & Information Displays and Institute of Advanced Materials (IAM), Nanjing University of Posts and Telecommunications, 9 Wenyuan Road, Nanjing 210046, Jiangsu, China; E-Mail: [email protected] 3 Department of Microbiology and Microbial Engineering, School of Life Sciences, Fudan University, Shanghai 200433, China; E-Mail: [email protected] * Authors to whom correspondence should be addressed; E-Mails: [email protected] (L.We.); [email protected] (L.Wa.); Tel./Fax: +86-25-8586-6634 (L.We.); Tel.: +86-25-8586-6333 (L.Wa.); Fax: +86-25-8586-6396 (L.Wa.). Received: 4 July 2013; in revised form: 21 March 2014 / Accepted: 28 March 2014 / Published: 14 April 2014 Abstract: Quorum sensing (QS) has been recognized as a general phenomenon in microorganisms and plays an important role in many pathogenic bacteria. In this report, we used the Agrobacterium tumefaciens biosensor strain NT1 to rapidly screen for autoinducer-quenching inhibitors from bacteria. After initial screening 5389 isolates obtained from land and beach soil, 53 putative positive strains were identified. A confirmatory bioassay was carried out after concentrating the putative positive culture supernatant, and 22 strains were confirmed to have anti-LasR activity. -
Using Viper, a Package for Virtual Inference of Protein-Activity by Enriched Regulon Analysis
Using viper, a package for Virtual Inference of Protein-activity by Enriched Regulon analysis Mariano J. Alvarez1,2, Federico M. Giorgi1, and Andrea Califano1 1Department of Systems Biology, Columbia University, 1130 St. Nicholas Ave., New York 2DarwinHealth Inc, 3960 Broadway, New York May 19, 2021 1 Overview of VIPER Phenotypic changes effected by pathophysiological events are now routinely captured by gene expression pro- file (GEP) measurements, determining mRNA abundance on a genome-wide scale in a cellular population[8, 9]. In contrast, methods to measure protein abundance on a proteome-wide scale using arrays[11] or mass spectrometry[10] technologies are far less developed, covering only a fraction of proteins, requiring large amounts of tissue, and failing to directly capture protein activity. Furthermore, mRNA expression does not constitute a reliable predictor of protein activity, as it fails to capture a variety of post-transcriptional and post-translational events that are involved in its modulation. Even reliable measurements of protein abundance, for instance by low-throughput antibody based methods or by higher-throughput methods such as mass spectrometry, do not necessarily provide quantitative assessment of functional activity. For instance, enzymatic activity of signal transduction proteins, such as kinases, ubiquitin ligases, and acetyltransferases, is frequently modulated by post-translational modification events that do not affect total protein abundance. Similarly, transcription factors may require post-translationally mediated activation, nuclear translocation, and co-factor availability before they may regulate specific repertoires of their transcriptional targets. Fi- nally, most target-specific drugs affect the activity of their protein substrates rather than their protein or mRNA transcript abundance. -
Toolbox Model of Evolution of Prokaryotic Metabolic Networks and Their Regulation
Toolbox model of evolution of prokaryotic metabolic networks and their regulation Sergei Maslova,1, Sandeep Krishnab, Tin Yau Panga,c, and Kim Sneppenb aDepartment of Condensed Matter Physics and Materials Science, Brookhaven National Laboratory, Upton, NY 11973; bNiels Bohr Institute, Blegdamsvej 17, DK-2100 Copenhagen, Denmark; and cDepartment of Physics and Astronomy, Stony Brook University, Stony Brook, NY 11794-3800 Edited by David J. Lipman, National Institutes of Health, Bethesda, MD, and approved April 16, 2009 (received for review March 23, 2009) It has been reported that the number of transcription factors A simple evolutionary model explains both these empirical encoded in prokaryotic genomes scales approximately quadrati- observations in a unified framework based on modular functional cally with their total number of genes. We propose a conceptual design of prokaryotic metabolic networks and their regulation. explanation of this finding and illustrate it using a simple model in which metabolic and regulatory networks of prokaryotes are Toolbox View of Metabolic Networks shaped by horizontal gene transfer of coregulated metabolic Metabolic networks are composed of many semiautonomous func- pathways. Adapting to a new environmental condition monitored tional modules corresponding to traditional metabolic pathways (8) by a new transcription factor (e.g., learning to use another nutri- or their subunits (9). Constituent genes of such evolutionary ent) involves both acquiring new enzymes and reusing some of the modules tend to cooccur (be either all present or all absent) in enzymes already encoded in the genome. As the repertoire of genomes (9, 10). These pathways overlap with each other to form branched, interconnected metabolic networks. -
An Improved Bind-N-Seq Strategy to Determine Protein-DNA Interactions Validated Using the Bacterial Transcriptional Regulator Yipr Shi-Qi An1,2* , Miguel A
An et al. BMC Microbiology (2020) 20:1 https://doi.org/10.1186/s12866-019-1672-7 METHODOLOGY ARTICLE Open Access An improved bind-n-seq strategy to determine protein-DNA interactions validated using the bacterial transcriptional regulator YipR Shi-qi An1,2* , Miguel A. Valvano2, Yan-hua Yu3, Jeremy S. Webb1 and Guillermo Lopez Campos2 Abstract Background: Interactions between transcription factors and DNA lie at the centre of many biological processes including DNA recombination, replication, repair and transcription. Most bacteria encode diverse proteins that act as transcription factors to regulate various traits. Several technologies for identifying protein–DNA interactions at the genomic level have been developed. Bind-n-seq is a high-throughput in vitro method first deployed to analyse DNA interactions associated with eukaryotic zinc-finger proteins. The method has three steps (i) binding protein to a randomised oligonucleotide DNA target library, (ii) deep sequencing of bound oligonucleotides, and (iii) a computational algorithm to define motifs among the sequences. The classical Bind-n-seq strategy suffers from several limitations including a lengthy wet laboratory protocol and a computational algorithm that is difficult to use. We introduce here an improved, rapid,andsimplifiedBind-n-seqprotocolcoupledwithauser-friendly downstream data analysis and handling algorithm, which has been optimized for bacterial target proteins. We validate this new protocol by showing the successful characterisation of the DNA-binding specificities of YipR (YajQ interacting protein regulator), a well- known transcriptional regulator of virulence genes in the bacterial phytopathogen Xanthomonas campestris pv. campestris (Xcc). Results: The improved Bind-n-seq approach identified several DNA binding motif sequences for YipR, in particular the CCCTCTC motif, which were located in the promoter regions of 1320 Xcc genes. -
Crosstalk and the Evolution of Specificity in Two-Component Signaling
Corrections BIOPHYSICS AND COMPUTATIONAL BIOLOGY PLANT BIOLOGY Correction for “Crosstalk and the evolution of specificity in two- Correction for “Differential processing of Arabidopsis ubiquitin- component signaling,” by Michael A. Rowland and Eric J. Deeds, like Atg8 autophagy proteins by Atg4 cysteine proteases,” by which appeared in issue 15, April 15, 2014, of Proc Natl Acad Sci Jongchan Woo, Eunsook Park, and S. P. Dinesh-Kumar, which USA (111:5550–5555; first published March 31, 2014; 10.1073/ appeared in issue 2, January 14, 2014, of Proc Natl Acad Sci pnas.1317178111). USA (111:863–868; first published December 30, 2013; 10.1073/ The authors note that ref. 4, “Huynh TN, Stewart V (2011) pnas.1318207111). Negative control in two-component signal transduction by trans- The authors note that the following statement should be mitter phosphatase activity. Mol Microbiol 82(2):275–286.” should added to the Acknowledgments: “National Science Foundation instead appear as “Ray JC, Igoshin OA (2010) Adaptable func- Grant NSF-IOS-1258135 funded to Dr. Georgia Drakakaki sup- tionality of transcriptional feedback in bacterial two-component ported Eunsook Park.” systems. PLoS Comput Biol 6(2):e1000676.” www.pnas.org/cgi/doi/10.1073/pnas.1409947111 www.pnas.org/cgi/doi/10.1073/pnas.1408294111 CORRECTIONS www.pnas.org PNAS | June 24, 2014 | vol. 111 | no. 25 | 9325 Downloaded by guest on September 29, 2021 Crosstalk and the evolution of specificity in two-component signaling Michael A. Rowlanda and Eric J. Deedsa,b,1 aCenter for Bioinformatics and bDepartment of Molecular Biosciences, University of Kansas, Lawrence, KS 66047 Edited by Thomas J. -
Response Regulators Implicated in His-To-Asp Phosphotransfer Signaling in Arabidopsis (Escherichia Coli)
Proc. Natl. Acad. Sci. USA Vol. 95, pp. 2691–2696, March 1998 Plant Biology Response regulators implicated in His-to-Asp phosphotransfer signaling in Arabidopsis (Escherichia coli) AYA IMAMURA,NAOTO HANAKI,HIROYUKI UMEDA,AYAKO NAKAMURA,TOMOMI SUZUKI,CHIHARU UEGUCHI, AND TAKESHI MIZUNO† Laboratory of Molecular Microbiology, School of Agriculture, Nagoya University, Chikusa-ku, Nagoya 464, Japan Communicated by Robert Haselkorn, University of Chicago, Chicago, IL, December 29, 1997 (received for review November 7, 1997) ABSTRACT The His to Asp phosphotransfer signal as a mediator of phosphotransfer by acquiringytransferring a transduction mechanism involves three common signaling phosphoryl group fromyto another component (8–12). domains: the transmitter (or His-kinase), the receiver, and the Instances of His-Asp phosphotransfer systems have been histidine-containing phototransfer (HPt) domain. Typically, a found in a large number of bacterial species (3). Inspection of sensor kinase has a His-kinase domain and a response the nucleotide sequence of Escherichia coli reveals at least regulator has a receiver domain containing a phosphoaccept- thirty different sensor-regulator pairs in this single species ing aspartate, whereas a histidine-containing phototransfer (13). This mechanism was once thought to be restricted to domain serves as a mediator of the histidine-to-aspartate prokaryotes. However, many instances have been discovered phosphotransfer. This signal transduction mechanism was in diverse eukaryotic species including higher plants (14–23). thought to be restricted to prokaryotes. However, many ex- The most striking example is the yeast osmo-responsive system amples have been discovered in diverse eukaryotic species (23). Three components, Sln1p (sensor kinase)-Ypd1p (HPt including higher plants. -
Quorum Sensing in Bacteria
17 Aug 2001 12:48 AR AR135-07.tex AR135-07.SGM ARv2(2001/05/10) P1: GDL Annu. Rev. Microbiol. 2001. 55:165–99 Copyright c 2001 by Annual Reviews. All rights reserved QUORUM SENSING IN BACTERIA Melissa B. Miller and Bonnie L. Bassler Department of Molecular Biology, Princeton University, Princeton, New Jersey 08544-1014; e-mail: [email protected], [email protected] Key Words autoinducer, homoserine lactone, two-component system, cell-cell communication, virulence ■ Abstract Quorum sensing is the regulation of gene expression in response to fluctuations in cell-population density. Quorum sensing bacteria produce and release chemical signal molecules called autoinducers that increase in concentration as a function of cell density. The detection of a minimal threshold stimulatory con- centration of an autoinducer leads to an alteration in gene expression. Gram-positive and Gram-negative bacteria use quorum sensing communication circuits to regulate a diverse array of physiological activities. These processes include symbiosis, virulence, competence, conjugation, antibiotic production, motility, sporulation, and biofilm for- mation. In general, Gram-negative bacteria use acylated homoserine lactones as au- toinducers, and Gram-positive bacteria use processed oligo-peptides to communicate. Recent advances in the field indicate that cell-cell communication via autoinducers occurs both within and between bacterial species. Furthermore, there is mounting data suggesting that bacterial autoinducers elicit specific responses from host organisms. Although the nature of the chemical signals, the signal relay mechanisms, and the target genes controlled by bacterial quorum sensing systems differ, in every case the ability to communicate with one another allows bacteria to coordinate the gene expression, and therefore the behavior, of the entire community.