Mutational analysis of ligand recognition by tcp, the citrate chemoreceptor of Salmonella enterica serovar typhimurium

A catalogue of signal molecules that interact with sensor kinases, chemoreceptors and transcriptional regulators

Bacteria have evolved many different signal transduction systems that sense signals and generate a variety of responses. Generally, most abundant are transcriptional regulators, sensor histidine kinases and chemoreceptors. Typically, these systems recognize their signal molecules with dedicated ligand-binding domains (LBDs), which, in turn, generate a molecular stimulus that modulates the activity of the output module. There are an enormous number of different LBDs that recognize a similarly diverse set of signals. To give a global perspective of the signals that interact with transcriptional regulators, sensor kinases and chemoreceptors, we manually retrieved information on the protein-ligand interaction from about 1,200 publications and 3D structures. The resulting 811 proteins were classified according to the Pfam family into 127 groups. These data permit a delineation of the signal profiles of individual LBD families as well as distinguishing between families that recognize signals in a promiscuous manner and those that possess a well-defined ligand range. A major bottleneck in the field is the fact that the signal input of many signaling systems is unknown. The signal repertoire reported here will help the scientific community design experimental strategies to identify the signaling molecules for uncharacterised sensor proteins.

Conversion of Norepinephrine to 3,4-Dihdroxymandelic Acid in Escherichia coli Requires the QseBC Quorum-Sensing System and the FeaR Transcription Factor

The detection of norepinephrine (NE) as a chemoattractant by Escherichia coli strain K-12 requires the combined action of the TynA monoamine oxidase and the FeaB aromatic aldehyde dehydrogenase. The role of these enzymes is to convert NE into 3,4-dihydroxymandelic acid (DHMA), which is a potent chemoattractant sensed by the Tsr chemoreceptor. These two enzymes must be induced by prior exposure to NE, and cells that are exposed to NE for the first time initially show minimal chemotaxis toward it. The induction of TynA and FeaB requires the QseC quorum-sensing histidine kinase, and the signaling cascade requires new protein synthesis. Here, we demonstrate that the cognate response regulator for QseC, the transcription factor QseB, is also required for induction. The related quorum-sensing kinase QseE appears not to be part of the signaling pathway, but its cognate response regulator, QseF, which is also a substrate for phosphotransfer from QseC, plays a nonessential role. The promoter of the feaR gene, which encodes a transcription factor that has been shown to be essential for the expression of tynA and feaB, has two predicted QseB-binding sites. One of these sites appears to be in an appropriate position to stimulate transcription from the P1 promoter of the feaR gene. This study unites two well-known pathways: one for expression of genes regulated by catecholamines (QseBC) and one for expression of genes required for metabolism of aromatic amines (FeaR, TynA, and FeaB). This cross talk allows E. coli to convert the host-derived and chemotactically inert NE into the potent bacterial chemoattractant DHMA.IMPORTANCE The chemotaxis of E. coli K-12 to norepinephrine (NE) requires the conversion of NE to 3,4-dihydroxymandleic acid (DHMA), and DHMA is both an attractant and inducer of virulence gene expression for a pathogenic enterohemorrhagic E. coli (EHEC) strain. The induction of virulence by DHMA and NE requires QseC. The results described here show that the cognate response regulator for QseC, QseB, is also required for conversion of NE into DHMA. Production of DHMA requires induction of a pathway involved in the metabolism of aromatic amines. Thus, the QseBC sensory system provides a direct link between virulence and chemotaxis, suggesting that chemotaxis to host signaling molecules may require that those molecules are first metabolized by bacterial enzymes to generate the actual chemoattractant.

Tactic responses to pollutants and their potential to increase biodegradation efficiency

A significant number of bacterial strains are able to use toxic aromatic hydrocarbons as carbon and energy sources. In a number of cases, the evolution of the corresponding degradation pathway was accompanied by the evolution of tactic behaviours either towards or away from these toxic carbon sources. Reports are reviewed which show that a chemoattraction to heterogeneously distributed aromatic pollutants increases the bioavailability of these compounds and their biodegradation efficiency. An extreme form of chemoattraction towards aromatic pollutants, termed 'hyperchemotaxis', was described for Pseudomonas putida DOT-T1E, which is based on the action of the plasmid-encoded McpT chemoreceptor. Cells with this phenotype were found of being able to approach and of establishing contact with undiluted crude oil samples. Although close McpT homologues are found on other degradation plasmids, the sequence of their ligand-binding domains does not share significant similarity with that of NahY, the other characterized chemoreceptor for aromatic hydrocarbons. This may suggest the existence of at least two families of chemoreceptors for aromatic pollutants. The use of receptor chimers comprising the ligand-binding region of McpT for biosensing purposes is discussed.

Salmonella enterica serovar typhimurium colonizing the lumen of the chicken intestine grows slowly and upregulates a unique set of virulence and metabolism genes

The pattern of global gene expression in Salmonella enterica serovar Typhimurium bacteria harvested from the chicken intestinal lumen (cecum) was compared with that of a late-log-phase LB broth culture using a whole-genome microarray. Levels of transcription, translation, and cell division in vivo were lower than those in vitro. S. Typhimurium appeared to be using carbon sources, such as propionate, 1,2-propanediol, and ethanolamine, in addition to melibiose and ascorbate, the latter possibly transformed to d-xylulose. Amino acid starvation appeared to be a factor during colonization. Bacteria in the lumen were non- or weakly motile and nonchemotactic but showed upregulation of a number of fimbrial and Salmonella pathogenicity island 3 (SPI-3) and 5 genes, suggesting a close physical association with the host during colonization. S. Typhimurium bacteria harvested from the cecal mucosa showed an expression profile similar to that of bacteria from the intestinal lumen, except that levels of transcription, translation, and cell division were higher and glucose may also have been used as a carbon source.

Physiologically relevant divalent cations modulate citrate recognition by the McpS chemoreceptor

The McpS chemoreceptor of Pseudomonas putida KT2440 recognizes six different tricarboxylic acid (TCA) cycle intermediates. However, the magnitude of the chemotactic response towards these compounds differs largely, which has led to distinguish between strong attractants (malate, succinate, fumarate, oxaloacetate) and weak attractants (citrate, isocitrate). Citrate is abundantly present in plant tissues and root exudates and can serve as the only carbon source for growth. Citrate is known to form complexes with divalent cations which are also abundantly present in natural habitats of this bacterium. We have used isothermal titration calorimetry to study the formation of citrate-metal ion complexes. In all cases binding was entropy driven but significant differences in affinity were observed ranging from K(D)=157 µM (for Mg(2+)) to 3 µM (for Ni(2+)). Complex formation occurred over a range of pH and ionic strength. The ligand binding domain of McpS (McpS-LBD) was found to bind free citrate, but not complexes with physiologically relevant Mg(2+) and Ca(2+). In contrast, complexes with divalent cations which are present as trace elements (Co(2+), Cd(2+) and Ni(2+)) were recognized by McpS-LBD. This discrimination differs from other citrate sensing proteins. These results are discussed in the context of the three dimensional structure of free citrate and its complex with Mg(2+). Chemotaxis assays using P. putida revealed that taxis towards the strong attractant malate is strongly reduced in the presence of free citrate. However, this reduction is much less important in the presence of citrate-Mg(2+) complexes. The physiological relevance of these findings is discussed.

Differential recognition of citrate and a metal-citrate complex by the bacterial chemoreceptor Tcp

The chemoreceptor Tcp of Salmonella enterica serovar Typhimurium can sense citrate and a metal-citrate complex as distinct attractants. In this study, we tried to investigate the molecular mechanism of this discrimination. That citrate binds directly to Tcp was verified by the site-specific thiol modification assays using membrane fractions prepared from Escherichia coli cells expressing the mutant Tcp receptors in which single Cys residues were introduced at positions in the putative ligand-binding pocket. To determine the region responsible for the ligand discrimination, we screened for mutations defective in taxis to magnesium in the presence of citrate. All of the isolated mutants from random mutagenesis with hydroxylamine were defective in both citrate and metal-citrate sensing, and the mutated residues are located in or near the alpha1-alpha2 and alpha3-alpha4 loops within the periplasmic domain. Further analyses with site-directed replacements around these regions demonstrated that the residue Asn(67), which is presumed to lie at the subunit interface of the Tcp homodimer, plays a critical role in the recognition of the metal-citrate complex but not that of citrate. Various amino acids at this position differentially affect the citrate and metal-citrate sensing abilities. Thus, for the first time, the abilities to sense the two attractants were genetically dissected. Based on the results obtained in this study, we propose models in which the discrimination of the metal-citrate complex from citrate involves cooperative interaction at Asn(67) and allosteric switching.

Salmonella typhimurium specifically chemotax and proliferate in heterogeneous tumor tissue in vitro

Multi-drug resistance greatly limits the efficacy of conventional blood-born chemotherapeutics, which have limited ability to penetrate tumor tissue and are ineffective at killing quiescent cells far from tumor vasculature. Nonpathogenic, motile bacteria can overcome both of theses limitations. We hypothesize that the accumulation of S. typhimurium in tumors is controlled by two mechanisms: (1) chemotaxis towards compounds produced by quiescent cancer cells and (2) preferential growth within tumor tissue. We tested this hypothesis by quantifying the relative contributions of these mechanisms using the tumor cylindroid model, which mimics the microenvironments of in vivo tumors. Time-lapse fluorescence microscopy was used to measure the accumulation of GFP-labeled S. typhimurium into cylindroids of different size. Cylindroids larger than 500 microm in diameter contain quiescent cells, whereas cylindroids smaller than 500 microm do not. Spatio-temporal profiles of bacterial concentration were fit to a mathematical model to calculate two parameters that describe bacterial interaction with tumors: intratumoral bacterial growth, M, and intratumoral bacterial chemoattraction, K. It was observed that S. typhimurium is attracted to cylindroids and accumulate at long time points in the central region of large cylindroids. Both intratumoral bacterial growth and chemotaxis were significantly greater in large cylindroids, suggesting that quiescent cells secrete bacterial chemoattractants and the presence of necrotic and quiescent cells enable S. typhimurium to replicate in tumor tissue. In this study, several mechanisms of S. typhimurium accumulation in solid tumors have been quantified, which we believe is an important step in the development of bacterial-based therapeutics to target tumor quiescence.

Identification of basic amino acid residues important for citrate binding by the periplasmic receptor domain of the sensor kinase CitA

The sensor kinase CitA and the response regulator CitB of Klebsiella pneumoniae form the paradigm of a subfamily of bacterial two-component regulatory systems that are capable of sensing tri- or dicarboxylates in the environment and then induce transporters for the uptake of these compounds. We recently showed that the separated periplasmic domain of CitA, termed CitAP (encompasses residues 45-176 supplemented with an N-terminal methionine residue and a C-terminal hexahistidine tag), is a highly specific citrate receptor with a K(d) of 5.5 microM at pH 7. To identify positively charged residues involved in binding the citrate anion, each of the arginine, lysine, and histidine residues in CitAP was exchanged for alanine, and the resulting 17 muteins were analyzed by isothermal titration calorimetry (ITC). In 12 cases, the K(d) for citrate was identical to that of wild-type CitAP or slightly changed (3.9-17.2 microM). In one case (R98A), the K(d) was 6-fold decreased (0.8 microM), whereas in four cases (R66A, H69A, R107A, and K109A) the K(d) was 38- to >300-fold increased (0.2 to >1 mM). The secondary structure of the latter five proteins in their apo-form as deduced from far-UV circular dichroism (CD) spectra did not differ from the apo-form of wild-type CitAP; however, all of them showed an increased thermostability. Citrate increased the melting point (T(m)) of wild-type CitAP and mutein R98A by 6.2 and 9.5 degrees C, respectively, but had no effect on the T(m) of the four proteins with disturbed binding. Three of the residues important for citrate binding (R66, H69, and R107) are highly conserved in the CitA subfamily of sensor kinases, indicating that they might be involved in ligand binding by many of these sensor kinases.

The superfamily of chemotaxis transducers: from physiology to genomics and back

Chemotaxis transducers are specialized receptors that microorganisms use in order to sense the environment in directing their motility to favorable niches. The Escherichia coli transducers are models for studying the sensory and signaling events at the molecular level. Extensive studies in other organisms and the arrival of genomics has resulted in the accumulation of sequences of many transducer genes, but they are not fully understood. In silico analysis provides some assistance in classification of various transducers from different species and in predicting their function. All transducers contain two structural modules: a conserved C-terminal multidomain module, which is a signature element of the transducer superfamily, and a variable N-terminal module, which is responsible for the diversity within the superfamily. These structural modules have two distinct functions: the conserved C-terminal module is involved in signaling and adaptation, and the N-terminal module is involved in sensing various stimuli. Both C-terminal and N-terminal modules appear to be mobile genetic elements and subjects of duplication and lateral transfer. Although chemotaxis transducers are found exclusively in prokaryotic organisms that have some type of motility (flagellar, gliding or pili-based), several types of domains that are found in their N-terminal modules are also present in signal transduction proteins from eukaryotes, including humans. This indicates that basic principles of sensory transduction are conserved throughout the phylogenetic tree and that the chemotaxis transducer superfamily is a valuable source of novel sensory elements yet to be discovered.