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1.
RNA Biol ; 10(2): 245-55, 2013 Feb.
Article in English | MEDLINE | ID: mdl-23353577

ABSTRACT

Small non-coding RNAs (ncRNAs) are important components of many regulatory pathways in bacteria and play key roles in regulating factors important for virulence. Carbon catabolite repression control is modulated by small RNAs (crcZ or crcZ and crcY) in Pseudomonas aeruginosa and Pseudomonas putida. In this study, we demonstrate that expression of crcZ and crcX (formerly designated psr1 and psr2, respectively) is dependent upon RpoN together with the two-component system CbrAB, and is influenced by the carbon source present in the medium in the model plant pathogen Pseudomonas syringae pv tomato DC3000. The distribution of the members of the Crc ncRNA family was also determined by screening available genomic sequences of the Pseudomonads. Interestingly, variable numbers of the Crc family members exist in Pseudomonas genomes. The ncRNAs are comprised of three main subfamilies, named CrcZ, CrcX and CrcY. Most importantly the CrcX subfamily appears to be unique to all P. syringae strains sequenced to date.


Subject(s)
Carbon/metabolism , Genes, Bacterial , Pseudomonas syringae/metabolism , Bacterial Proteins/genetics , Bacterial Proteins/metabolism , Base Sequence , Binding Sites , Catabolite Repression , Gene Expression Regulation, Bacterial , Molecular Sequence Data , Pseudomonas putida/genetics , Pseudomonas putida/metabolism , Pseudomonas syringae/genetics , Pseudomonas syringae/growth & development , RNA, Bacterial/genetics , RNA, Bacterial/metabolism , RNA, Small Untranslated/metabolism , Transcription Factors/genetics , Transcription Factors/metabolism
2.
J Bacteriol ; 193(18): 4598-611, 2011 Sep.
Article in English | MEDLINE | ID: mdl-21784947

ABSTRACT

The plant pathogen Pseudomonas syringae pv. tomato DC3000 (DC3000) is found in a wide variety of environments and must monitor and respond to various environmental signals such as the availability of iron, an essential element for bacterial growth. An important regulator of iron homeostasis is Fur (ferric uptake regulator), and here we present the first study of the Fur regulon in DC3000. Using chromatin immunoprecipitation followed by massively parallel sequencing (ChIP-seq), 312 chromosomal regions were highly enriched by coimmunoprecipitation with a C-terminally tagged Fur protein. Integration of these data with previous microarray and global transcriptome analyses allowed us to expand the putative DC3000 Fur regulon to include genes both repressed and activated in the presence of bioavailable iron. Using nonradioactive DNase I footprinting, we confirmed Fur binding in 41 regions, including upstream of 11 iron-repressed genes and the iron-activated genes encoding two bacterioferritins (PSPTO_0653 and PSPTO_4160), a ParA protein (PSPTO_0855), and a two-component system (TCS) (PSPTO_3382 to PSPTO_3380).


Subject(s)
Bacterial Proteins/metabolism , Gene Expression Regulation, Bacterial , Iron/metabolism , Pseudomonas syringae/genetics , Pseudomonas syringae/metabolism , Regulon , Base Sequence , Chromatin Immunoprecipitation , DNA Footprinting , DNA, Bacterial/chemistry , DNA, Bacterial/genetics , High-Throughput Nucleotide Sequencing , Molecular Sequence Data , Promoter Regions, Genetic , Protein Binding
3.
Biotechnol Bioeng ; 105(5): 955-64, 2010 Apr 01.
Article in English | MEDLINE | ID: mdl-19953673

ABSTRACT

The growth of a model plant pathogen, Pseudomonas syringae pv. tomato DC3000, was investigated using a chemostat culture system to examine environmentally regulated responses. Using minimal medium with iron as the limiting nutrient, four different types of responses were obtained in a customized continuous culture system: (1) stable steady state, (2) damped oscillation, (3) normal washout due to high dilution rates exceeding the maximum growth rate, and (4) washout at low dilution rates due to negative growth rates. The type of response was determined by a combination of initial cell mass and dilution rate. Stable steady states were obtained with dilution rates ranging from 0.059 to 0.086 h(-1) with an initial cell mass of less than 0.6 OD(600). Damped oscillations and negative growth rates are unusual observations for bacterial systems. We have observed these responses at values of initial cell mass of 0.9 OD(600) or higher, or at low dilution rates (<0.05 h(-1)) irrespectively of initial cell mass. This response suggests complex dynamics including the possibility of multiple steady states.Iron, which was reported earlier as a growth limiting nutrient in a widely used minimal medium, enhances both growth and virulence factor induction in iron-supplemented cultures compared to unsupplemented controls. Intracellular iron concentration is correlated to the early induction (6 h) of virulence factors in both batch and chemostat cultures. A reduction in aconitase activity (a TCA cycle enzyme) and ATP levels in iron-limited chemostat cultures was observed compared to iron-supplemented chemostat cultures, indicating that iron affects central metabolic pathways. We conclude that DC3000 cultures are particularly dependent on the environment and iron is likely a key nutrient in determining physiology.


Subject(s)
Iron/metabolism , Pseudomonas syringae/growth & development , Pseudomonas syringae/metabolism , Virulence Factors/metabolism , Aconitate Hydratase/metabolism , Bacterial Proteins/metabolism , Culture Media/chemistry , Pseudomonas syringae/pathogenicity
4.
RNA Biol ; 7(5): 508-16, 2010.
Article in English | MEDLINE | ID: mdl-21060253

ABSTRACT

Non-coding RNAs (ncRNAs) are important components of many regulatory pathways and have key roles in regulating diverse functions. In the Pseudomonads, the two-component system, GacA/S, directly regulates at least two well-characterized ncRNAs, RsmZ and RsmY, which act by sequestration of translation repressor proteins to control expression of various exoproducts. Pseudomonas fluorescens CHA0 possesses a third ncRNA, RsmX, which also participates in this regulatory pathway. In this study we confirmed expression of five rsmX ncRNAs in Pseudomonas syringae pv. tomato DC3000, and determined the distribution of the members of the rsmX ncRNA family by screening available genomic sequences of the Pseudomonads. Variable numbers of the rsmX family exist in Pseudomonas genomes, with up to five paralogs in Pseudomonas syringae strains. In Pseudomonas syringae pv. tomato DC3000, the rsmX genes are 112 to 120 nucleotides in size and are predicted by structural analysis to contain multiple exposed GGA motifs, which is consistent with structural features of the Rsm ncRNAs. We also found that these rsmX ncRNA genes share a conserved upstream region suggesting that their expression is dependent upon the global response regulator, GacA.


Subject(s)
Pseudomonas syringae/genetics , RNA, Bacterial/genetics , RNA, Untranslated/genetics , Bacterial Proteins/metabolism , Base Sequence , Gene Expression Regulation, Bacterial , Nucleic Acid Conformation , Pseudomonas/chemistry , Pseudomonas/classification , Pseudomonas/genetics , RNA, Bacterial/chemistry , RNA, Untranslated/chemistry , Sequence Alignment
5.
BMC Genomics ; 10: 641, 2009 Dec 30.
Article in English | MEDLINE | ID: mdl-20042087

ABSTRACT

BACKGROUND: Identification of specific genes and gene expression patterns important for bacterial survival, transmission and pathogenesis is critically needed to enable development of more effective pathogen control strategies. The stationary phase stress response transcriptome, including many sigmaB-dependent genes, was defined for the human bacterial pathogen Listeria monocytogenes using RNA sequencing (RNA-Seq) with the Illumina Genome Analyzer. Specifically, bacterial transcriptomes were compared between stationary phase cells of L. monocytogenes 10403S and an otherwise isogenic DeltasigB mutant, which does not express the alternative sigma factor sigmaB, a major regulator of genes contributing to stress response, including stresses encountered upon entry into stationary phase. RESULTS: Overall, 83% of all L. monocytogenes genes were transcribed in stationary phase cells; 42% of currently annotated L. monocytogenes genes showed medium to high transcript levels under these conditions. A total of 96 genes had significantly higher transcript levels in 10403S than in DeltasigB, indicating sigmaB-dependent transcription of these genes. RNA-Seq analyses indicate that a total of 67 noncoding RNA molecules (ncRNAs) are transcribed in stationary phase L. monocytogenes, including 7 previously unrecognized putative ncRNAs. Application of a dynamically trained Hidden Markov Model, in combination with RNA-Seq data, identified 65 putative sigmaB promoters upstream of 82 of the 96 sigmaB-dependent genes and upstream of the one sigmaB-dependent ncRNA. The RNA-Seq data also enabled annotation of putative operons as well as visualization of 5'- and 3'-UTR regions. CONCLUSIONS: The results from these studies provide powerful evidence that RNA-Seq data combined with appropriate bioinformatics tools allow quantitative characterization of prokaryotic transcriptomes, thus providing exciting new strategies for exploring transcriptional regulatory networks in bacteria.


Subject(s)
Listeria monocytogenes/genetics , RNA, Bacterial/genetics , RNA, Untranslated/genetics , Bacterial Proteins/genetics , Computational Biology , Reverse Transcriptase Polymerase Chain Reaction , Sequence Analysis, RNA , Sigma Factor/genetics , Transcription, Genetic/genetics
6.
Appl Environ Microbiol ; 75(9): 2720-6, 2009 May.
Article in English | MEDLINE | ID: mdl-19270129

ABSTRACT

Although chemically defined media have been developed and widely used to study the expression of virulence factors in the model plant pathogen Pseudomonas syringae, it has been difficult to link specific medium components to the induction response. Using a chemostat system, we found that iron is the limiting nutrient for growth in the standard hrp-inducing minimal medium and plays an important role in inducing several virulence-related genes in Pseudomonas syringae pv. tomato DC3000. With various concentrations of iron oxalate, growth was found to follow Monod-type kinetics for low to moderate iron concentrations. Observable toxicity due to iron began at 400 microM Fe(3+). The kinetics of virulence factor gene induction can be expressed mathematically in terms of supplemented-iron concentration. We conclude that studies of induction of virulence-related genes in P. syringae should control iron levels carefully to reduce variations in the availability of this essential nutrient.


Subject(s)
Gene Expression Regulation, Bacterial/drug effects , Growth Substances/pharmacology , Iron/pharmacology , Pseudomonas syringae/growth & development , Pseudomonas syringae/metabolism , Virulence Factors/biosynthesis , Culture Media/chemistry , Gene Expression Profiling , Models, Theoretical , Pseudomonas syringae/physiology
7.
BMC Microbiol ; 8: 209, 2008 Dec 02.
Article in English | MEDLINE | ID: mdl-19055731

ABSTRACT

BACKGROUND: Pseudomonas syringae pv tomato DC3000 (DC3000) is a Gram-negative model plant pathogen that is found in a wide variety of environments. To survive in these diverse conditions it must sense and respond to various environmental cues. One micronutrient required for most forms of life is iron. Bioavailable iron has been shown to be an important global regulator for many bacteria where it not only regulates a wide variety of genes involved in general cell physiology but also virulence determinants. In this study we used microarrays to study differential gene regulation in DC3000 in response to changes in levels of cell-associated iron. RESULTS: DC3000 cultures were grown under highly controlled conditions and analyzed after the addition of iron citrate or sodium citrate to the media. In the cultures supplemented with iron, we found that cell-associated iron increased rapidly while culture densities were not significantly different over 4 hours when compared to cultures with sodium citrate added. Microarray analysis of samples taken from before and after the addition of either sodium citrate or iron citrate identified 386 differentially regulated genes with high statistical confidence. Differentially regulated genes were clustered based on expression patterns observed between comparison of samples taken at different time points and with different supplements. This analysis grouped genes associated with the same regulatory motifs and/or had similar putative or known function. CONCLUSION: This study shows iron is rapidly taken up from the medium by iron-depleted DC3000 cultures and that bioavailable iron is a global cue for the expression of iron transport, storage, and known virulence factors in DC3000. Furthermore approximately 34% of the differentially regulated genes are associated with one of four regulatory motifs for Fur, PvdS, HrpL, or RpoD.


Subject(s)
Gene Expression Regulation, Bacterial , Iron/metabolism , Pseudomonas syringae/metabolism , Amino Acid Motifs , Kinetics , Multigene Family , Oligonucleotide Array Sequence Analysis , Pseudomonas syringae/growth & development
8.
Nat Biotechnol ; 23(7): 873-8, 2005 Jul.
Article in English | MEDLINE | ID: mdl-15980861

ABSTRACT

Pseudomonas fluorescens Pf-5 is a plant commensal bacterium that inhabits the rhizosphere and produces secondary metabolites that suppress soilborne plant pathogens. The complete sequence of the 7.1-Mb Pf-5 genome was determined. We analyzed repeat sequences to identify genomic islands that, together with other approaches, suggested P. fluorescens Pf-5's recent lateral acquisitions include six secondary metabolite gene clusters, seven phage regions and a mobile genomic island. We identified various features that contribute to its commensal lifestyle on plants, including broad catabolic and transport capabilities for utilizing plant-derived compounds, the apparent ability to use a diversity of iron siderophores, detoxification systems to protect from oxidative stress, and the lack of a type III secretion system and toxins found in related pathogens. In addition to six known secondary metabolites produced by P. fluorescens Pf-5, three novel secondary metabolite biosynthesis gene clusters were also identified that may contribute to the biocontrol properties of P. fluorescens Pf-5.


Subject(s)
Genome, Bacterial , Pseudomonas fluorescens/genetics , Base Sequence , Biological Transport/genetics , Genes, Bacterial , Molecular Sequence Data , Multigene Family , Plants/microbiology , Pseudomonas fluorescens/metabolism , Sequence Analysis, DNA , Siderophores/biosynthesis , Siderophores/genetics
9.
Mol Plant Microbe Interact ; 19(11): 1167-79, 2006 Nov.
Article in English | MEDLINE | ID: mdl-17073300

ABSTRACT

Pseudomonas syringae pv. tomato DC3000 is a model pathogen of tomato and Arabidopsis that uses a hypersensitive response and pathogenicity (Hrp) type III secretion system (T3SS) to deliver virulence effector proteins into host cells. Expression of the Hrp system and many effector genes is activated by the HrpL alternative sigma factor. Here, an open reading frame-specific whole-genome microarray was constructed for DC3000 and used to comprehensively identify genes that are differentially expressed in wild-type and deltahrpL strains. Among the genes whose differential regulation was statistically significant, 119 were upregulated and 76 were downregulated in the wild-type compared with the deltahrpL strain. Hierarchical clustering revealed a subset of eight genes that were upregulated particularly rapidly. Gibbs sampling of regions upstream of HrpL-activated operons revealed the Hrp promoter as the only identifiable regulatory motif and supported an iterative refinement involving real-time polymerase chain reaction testing of additional HrpL-activated genes and refinements in a hidden Markov model that can be used to predict Hrp promoters in P. syringae strains. This iterative bioinformatic-experimental approach to a comprehensive analysis of the HrpL regulon revealed a mix of genes controlled by HrpL, including those encoding most type III effectors, twin-arginine transport (TAT) substrates, other regulatory proteins, and proteins involved in the synthesis or metabolism of phytohormones, phytotoxins, and myo-inositol. This analysis provides an extensively verified, robust method for predicting Hrp promoters in P. syringae genomes, and it supports subsequent identification of effectors and other factors that likely are important to the host-specific virulence of P. syringae.


Subject(s)
Bacterial Proteins/genetics , DNA-Binding Proteins/genetics , Gene Expression Regulation, Bacterial , Pseudomonas syringae/genetics , Regulon , Sigma Factor/genetics , Computational Biology , Evolution, Molecular , Gene Expression Profiling , Solanum lycopersicum , Oligonucleotide Array Sequence Analysis , Open Reading Frames , Polymerase Chain Reaction , Promoter Regions, Genetic
10.
PLoS One ; 9(8): e106115, 2014.
Article in English | MEDLINE | ID: mdl-25170934

ABSTRACT

The type III secretion system (T3SS) is required for virulence in the gram-negative plant pathogen Pseudomonas syringae pv. tomato DC3000. The alternative sigma factor HrpL directly regulates expression of T3SS genes via a promoter sequence, often designated as the "hrp promoter." Although the HrpL regulon has been extensively investigated in DC3000, it is not known whether additional regulon members remain to be found. To systematically search for HrpL-regulated genes, we used chromatin immunoprecipitation coupled with high-throughput sequencing (ChIP-Seq) and bulk mRNA sequencing (RNA-Seq) to identify HrpL-binding sites and likely hrp promoters. The analysis recovered 73 sites of interest, including 20 sites that represent new hrp promoters. The new promoters lie upstream of a diverse set of genes encoding potential regulators, enzymes and hypothetical proteins. PSPTO_5633 is the only new HrpL regulon member that is potentially an effector and is now designated HopBM1. Deletions in several other new regulon members, including PSPTO_5633, PSPTO_0371, PSPTO_2130, PSPTO_2691, PSPTO_2696, PSPTO_3331, and PSPTO_5240, in either DC3000 or ΔhopQ1-1 backgrounds, do not affect the hypersensitive response or in planta growth of the resulting strains. Many new HrpL regulon members appear to be unrelated to the T3SS, and orthologs for some of these can be identified in numerous non-pathogenic bacteria. With the identification of 20 new hrp promoters, the list of HrpL regulon members is approaching saturation and most likely includes all DC3000 effectors.


Subject(s)
Bacterial Proteins/genetics , DNA-Binding Proteins/genetics , Pseudomonas syringae/genetics , Regulon/genetics , Sigma Factor/genetics , Solanum lycopersicum/microbiology , Binding Sites/genetics , Chromatin Immunoprecipitation/methods , Gene Expression Regulation, Bacterial/genetics , Promoter Regions, Genetic/genetics , RNA, Messenger/genetics , Type III Secretion Systems/genetics , Virulence/genetics
11.
PLoS One ; 9(2): e86628, 2014.
Article in English | MEDLINE | ID: mdl-24516535

ABSTRACT

Whole genome sequencing revealed the presence of a genomic anomaly in the region of 4.7 to 4.9 Mb of the Pseudomonas syringae pv. tomato (Pst) DC3000 genome. The average read depth coverage of Pst DC3000 whole genome sequencing results suggested that a 165 kb segment of the chromosome had doubled in copy number. Further analysis confirmed the 165 kb duplication and that the two copies were arranged as a direct tandem repeat. Examination of the corresponding locus in Pst NCPPB1106, the parent strain of Pst DC3000, suggested that the 165 kb duplication most likely formed after the two strains diverged via transposition of an ISPsy5 insertion sequence (IS) followed by unequal crossing over between ISPsy5 elements at each end of the duplicated region. Deletion of one copy of the 165 kb region demonstrated that the duplication facilitated enhanced growth in some culture conditions, but did not affect pathogenic growth in host tomato plants. These types of chromosomal structures are predicted to be unstable and we have observed resolution of the 165 kb duplication to single copy and its subsequent re-duplication. These data demonstrate the role of IS elements in recombination events that facilitate genomic reorganization in P. syringae.


Subject(s)
Genome, Bacterial/genetics , Pseudomonas syringae/cytology , Pseudomonas syringae/genetics , Alleles , Base Pairing/genetics , Base Sequence , Gene Duplication/genetics , Genes, Bacterial , Genetic Loci , Solanum lycopersicum/microbiology , Molecular Sequence Data , Phenotype , Polymerase Chain Reaction , Pseudomonas syringae/growth & development , Pseudomonas syringae/isolation & purification , Sequence Analysis, DNA
12.
PLoS One ; 6(12): e29335, 2011.
Article in English | MEDLINE | ID: mdl-22216251

ABSTRACT

RNA-Seq has provided valuable insights into global gene expression in a wide variety of organisms. Using a modified RNA-Seq approach and Illumina's high-throughput sequencing technology, we globally identified 5'-ends of transcripts for the plant pathogen Pseudomonas syringae pv. tomato str. DC3000. A substantial fraction of 5'-ends obtained by this method were consistent with results obtained using global RNA-Seq and 5'RACE. As expected, many 5'-ends were positioned a short distance upstream of annotated genes. We also captured 5'-ends within intergenic regions, providing evidence for the expression of un-annotated genes and non-coding RNAs, and detected numerous examples of antisense transcription, suggesting additional levels of complexity in gene regulation in DC3000. Importantly, targeted searches for sequence patterns in the vicinity of 5'-ends revealed over 1200 putative promoters and other regulatory motifs, establishing a broad foundation for future investigations of regulation at the genomic and single gene levels.


Subject(s)
Genome, Plant , Pseudomonas syringae/genetics , Solanum lycopersicum/genetics , Transcription, Genetic , Base Sequence , DNA Primers , RNA, Plant/genetics , Reproducibility of Results
13.
IEEE Trans Neural Netw ; 20(5): 745-57, 2009 May.
Article in English | MEDLINE | ID: mdl-19342348

ABSTRACT

In this paper, the multiclass supervised training problem is considered when a discrete set of classes is assumed. Upon generating affine models for finite data sets, we have observed the invariance of certain measures of performance after a trained classifier has been presented with test data of unknown classification. Specifically, after constructing mappings between training vectors and their desired targets, the class membership and ranking of test data has been found to remain either invariant or close to invariant under a transformation of the set of target vectors. Therefore, we derive conditions explaining how this type of invariance can arise when the multiclass problem is phrased in the context of linear networks. A bioinformatics example is then presented in order to demonstrate various principles outlined in this work.


Subject(s)
Artificial Intelligence , Computational Biology , Neural Networks, Computer , Algorithms , Amino Acid Sequence , Bacteria/genetics , Bacterial Proteins/chemistry , Bacterial Proteins/genetics , Base Sequence , Computer Simulation
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