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Pseudomonas aeruginosa PUPa3 is a rhizosphere-colonizing and plant growth-promoting strain isolated from the rhizosphere of rice. This strain has, however, been shown to be pathogenic in two nonmammalian infection models. Here we report the draft genome sequence of P. aeruginosa PUPa3.

A novel protein translocation system, the type-6 secretion system (T6SS), may play a role in virulence of Campylobacter jejuni. We investigated 181 C. jejuni isolates from humans, chickens, and environmental sources in Vietnam, Thailand, Pakistan, and the United Kingdom for T6SS. The marker was most prevalent in human and chicken isolates from Vietnam.

The initiation of transcription is a complex process involving many different steps. These steps are all potential control points for regulating gene expression, and many have been exploited by bacteria to give rise to sophisticated regulatory mechanisms that allow the cell to adapt to changing

The bacterial transcription factor sigma(N) (sigma-N, sigma-54, RpoN) confers upon RNA polymerase (RNAP) properties distinct from those of the major house-keeping form of RNAP, which contains sigma(70) (sigma-70, RpoD). Transcription by RNAP containing sigma(N) is subject to enhancer-dependent regulation. Far from being an 'oddity' or 'exception to the rule', the occurrence of sigma(N) in the genome sequences of such diverse bacteria as Aquifex aeolicus, Bacillus subtilis, Chlamydia spp. and Borrelia burgdorferi argues for its biological importance. The availability of complete genome sequences of several (eu)bacteria offers an opportunity to extend our understanding of this special form of transcriptional regulation. By scanning their genome sequences, new functions have been predicted for enhancer-dependent transcription in A. aeolicus, Chlamydia trachomatis, Escherichia coli, Treponema pallidum and B. burgdorferi.

Few strains of thermophilic Bacillus spp are readily transformable with plasmid DNA. Given the considerable phylogenetic and phenotypic diversity amongst thermophilic bacilli, we have examined whether transformability is a trait associated with a particular phylogenetic group, by sequencing the 16S ribosomal RNA genes from transformable strains NUB3621, K1041, and NRRL1174. Although all of these strains were described in the literature as B. stearothermophilus, only NRRL1174 is closely related to the type strain of this species. Based on its 16S rDNA sequence and physiological data K1041 appeared to belong to the species B. thermodenitrificans, while NUB3621 showed a slightly closer relationship to B. thermoglucosidasius than to B. stearothermophilus. Therefore we conclude that the trait of transformability, though possibly strain-specific, is not limited to a single species of thermophilic Bacillus.

We previously revealed similarity in gene expression patterns between human brain and testis, based on digital differential display analyses of 760 human Unigenes. In the present work, we reanalyzed the gene expression data in many tissues of human and mouse for a large number of genes almost covering the respective whole genomes. The results indicated that both in human and in mouse, the gene expression profiles exhibited by brain, cerebellum and testis are most similar to each other compared with other tissues.

Trichoderma hamatum strain GD12 is unique in that it can promote plant growth, activate biocontrol against pre- and post-emergence soil pathogens and can induce systemic resistance to foliar pathogens. This study extends previous work in lettuce to demonstrate that GD12 can confer beneficial agronomic traits to other plants, providing examples of plant growth promotion in the model dicot, Arabidopsis thaliana and induced foliar resistance to Magnaporthe oryzae in the model monocot rice. We further characterize the lettuce-T. hamatum interaction to show that bran extracts from GD12 and an N-acetyl-β-D-glucosamindase-deficient mutant differentially promote growth in a concentration dependent manner, and these differences correlate with differences in the small molecule secretome. We show that GD12 mycoparasitises a range of isolates of the pre-emergence soil pathogen Sclerotinia sclerotiorum and that this interaction induces a further increase in plant growth promotion above that conferred by GD12. To understand the genetic potential encoded by T. hamatum GD12 and to facilitate its use as a model beneficial organism to study plant growth promotion, induced systemic resistance and mycoparasitism we present de novo genome sequence data. We compare GD12 with other published Trichoderma genomes and show that T. hamatum GD12 contains unique genomic regions with the potential to encode novel bioactive metabolites that may contribute to GD12's agrochemically important traits.\ud \ud Read Full Text\ud

Sequence alignments form the basis for many comparative and population genomic studies. Alignmenttools provide a range of accuracies dependent on the divergence between the sequences and the alignmentmethods. Despite widespread use, there is no standard method for assessing the accuracy of a dataset andalignment strategy after resequencing. We present a framework and tool for determining the overallaccuracies of an input read dataset, alignment and SNP-calling method providing an isolate in that datasethas a corresponding, or closely related reference sequence available. In addition to this tool for comparingFalseDiscoveryRates(FDR),weincludeamethodfordetermininghomozygousandheterozygouspositionsfrom an alignment using binomial probabilities for an expected error rate. We benchmark this methodagainst other SNP callers using our FDR method with three fungal genomes, finding that it was able achievea high level of accuracy. These tools are available at http://cfdr.sourc

Small RNAs, including microRNA and short-interfering RNAs, play important roles in plants. In recent years, developments in sequencing technology have enabled the large-scale discovery of sRNAs in various cells, tissues and developmental stages and in response to various stresses. This review describes the bioinformatics challenges to analysing these large datasets of short-RNA sequences and some of the solutions to those challenges.

One reason for the success of Pseudomonas syringae as a model pathogen has been the availability of three complete genome sequences since 2005. Now, at the beginning of 2011, more than 25 strains of P. syringae have been sequenced and many more will soon be released. To date, published analyses of P. syringae have been largely descriptive, focusing on catalogues of genetic differences among strains and between species. Numerous powerful statistical tools are now available that have yet to be applied to P. syringae genomic data for robust and quantitative reconstruction of evolutionary events. The aim of this review is to provide a snapshot of the current status of P. syringae genome sequence data resources, including very recent and unpublished studies, and thereby demonstrate the richness of resources available for this species. Furthermore, certain specific opportunities and challenges in making the best use of these data resources are highlighted.

The new sequencing technologies are already making a big impact in academic research on medically important microbes and may soon revolutionize diagnostics, epidemiology, and infection control. Plant pathology also stands to gain from exploiting these opportunities. This manuscript reviews some applications of these high-throughput sequencing methods that are relevant to phytopathology, with emphasis on the associated computational and bioinformatics challenges and their solutions. Second-generation sequencing technologies have recently been exploited in genomics of both prokaryotic and eukaryotic plant pathogens. They are also proving to be useful in diagnostics, especially with respect to viruses.

Recently, genome sequencing of many isolates of genetically monomorphic bacterial human pathogens has given new insights into pathogen microevolution and phylogeography. Here, we report a genome-based micro-evolutionary study of a bacterial plant pathogen, Pseudomonas syringae pv. tomato. Only 267 mutations were identified between five sequenced isolates in 3,543,009 nt of analyzed genome sequence, which suggests a recent evolutionary origin of this pathogen. Further analysis with genome-derived markers of 89 world-wide isolates showed that several genotypes exist in North America and in Europe indicating frequent pathogen movement between these world regions. Genome-derived markers and molecular analyses of key pathogen loci important for virulence and motility both suggest ongoing adaptation to the tomato host. A mutational hotspot was found in the type III-secreted effector gene hopM1. These mutations abolish the cell death triggering activity of the full-length protein indicating strong selection for loss of function of this effector, which was previously considered a virulence factor. Two non-synonymous mutations in the flagellin-encoding gene fliC allowed identifying a new microbe associated molecular pattern (MAMP) in a region distinct from the known MAMP flg22. Interestingly, the ancestral allele of this MAMP induces a stronger tomato immune response than the derived alleles. The ancestral allele has largely disappeared from today's Pto populations suggesting that flagellin-triggered immunity limits pathogen fitness even in highly virulent pathogens. An additional non-synonymous mutation was identified in flg22 in South American isolates. Therefore, MAMPs are more variable than expected differing even between otherwise almost identical isolates of the same pathogen strain., Author Summary Our knowledge of the recent evolution of bacterial human pathogens has increased dramatically over the last five years. By comparison, relatively little is known about recent evolution of bacterial plant pathogens. Here, we analyze a large collection of isolates of the economically important plant pathogen Pseudomonas syringae pv. tomato with markers derived from the comparison of five genomes of this pathogen. We find that this pathogen likely evolved on a relatively recent time scale and continues to adapt to tomato by minimizing its recognition by the tomato immune system. We find that an allele of the flagellin subunit fliC that appeared in the pathogen population for the first time in the 1980s, and which is the most common allele of this gene in North America and Europe today, triggers a weaker tomato immune response than the fliC allele found in the 1960s and 1970s. These results not only impact our understanding of pathogen – plant interactions and pathogen evolution but also have important ramifications for disease prevention. Given the speed with which new pathogen strains spread and replace existing strains, limiting the movement of specific strains between geographic regions is critically important, even for pathogens known to have worldwide distribution.

Banana Xanthomonas wilt is a newly emerging disease that is currently threatening the livelihoods of millions of farmers in East Africa. The causative agent is Xanthomonas campestris pathovar musacearum (Xcm), but previous work suggests that this pathogen is much more closely related to species Xanthomonas vasicola than to X. campestris. We have generated draft genome sequences for a banana-pathogenic strain of Xcm isolated in Uganda and for a very closely related strain of X. vasicola pathovar vasculorum, originally isolated from sugarcane, that is nonpathogenic on banana. The draft sequences revealed overlapping but distinct repertoires of candidate virulence effectors in the two strains. Both strains encode homologues of the Pseudomonas syringae effectors HopW, HopAF1 and RipT from Ralstonia solanacearum. The banana-pathogenic and non-banana-pathogenic strains also differed with respect to lipopolysaccharide synthesis and type-IV pili, and in at least several thousand single-nucleotide polymorphisms in the core conserved genome. We found evidence of horizontal transfer between X. vasicola and very distantly related bacteria, including members of other divisions of the Proteobacteria. The availability of these draft genomes will be an invaluable tool for further studies aimed at understanding and combating this important disease.

The model plant Arabidopsis thaliana exhibits extensive natural variation in resistance to parasites. Immunity is often conferred by resistance ( R ) genes that permit recognition of specific races of a disease. The number of such R genes and their distribution are poorly understood. In this study, we investigated the basis for resistance to the downy mildew agent Hyaloperonospora arabidopsidis ex parasitica (Hpa) in a global sample of A. thaliana . We implemented a combined genome-wide mapping of resistance using populations of recombinant inbred lines and a collection of wild A. thaliana accessions. We tested the interaction between 96 host genotypes collected worldwide and five strains of Hpa . Then, a fraction of the species-wide resistance was genetically dissected using six recently constructed populations of recombinant inbred lines. We found that resistance is usually governed by single dominant R genes that are concentrated in four genomic regions only. We show that association genetics of resistance to diseases such as downy mildew enables increased mapping resolution from quantitative trait loci interval to candidate gene level. Association patterns in quantitative trait loci intervals indicate that the pool of A. thaliana resistance sources against the tested Hpa isolates may be predominantly confined to six RPP (Resistance to Hpa ) loci isolated in previous studies. Our results suggest that combining association and linkage mapping could accelerate resistance gene discovery in plants.

New sequencing methods generate data that can allow the assembly of microbial genome sequences in days. With such revolutionary advances in technology come new challenges in methodologies and informatics. In this article, we review the capabilities of high-throughput sequencing technologies and discuss the many options for getting useful information from the data.

Most eukaryotes produce small RNA (sRNA) mediators of gene silencing that bind to Argonaute proteins and guide them, by base pairing, to an RNA target. MicroRNAs (miRNAs) that normally target messenger RNAs for degradation or translational arrest are the best-understood class of sRNAs. However, in Arabidopsis thaliana flowers, miRNAs account for only 5% of the sRNA mass and less than 0.1% of the sequence complexity. The remaining sRNAs form a complex population of more than 100,000 different small interfering RNAs (siRNAs) transcribed from thousands of loci. The biogenesis of most of the siRNAs in Arabidopsis are dependent on RNA polymerase IV (PolIV), a homologue of DNA-dependent RNA polymerase II. A subset of these PolIV-dependent (p4)-siRNAs are involved in stress responses, and others are associated with epigenetic modifications to DNA or chromatin; however, the biological role is not known for most of them. Here we show that the predominant phase of p4-siRNA accumulation is initiated in the maternal gametophyte and continues during seed development. Expression of p4-siRNAs in developing endosperm is specifically from maternal chromosomes. Our results provide the first evidence for a link between genomic imprinting and RNA silencing in plants.

Background We have created a software implementation of a published and verified method for assigning probabilities to potential phosphorylation sites on peptides using mass spectrometric data. Our tool, named PhosCalc, determines the number of possible phosphorylation sites and calculates the theoretical masses for the b and y fragment ions of a user-provided peptide sequence. A corresponding user-provided mass spectrum is examined to determine which putative b and y ions have support in the spectrum and a probability score is calculated for each combination of phosphorylation sites. Findings We test the implementation using spectra of phosphopeptides from bovine beta-casein and we compare the results from the implementation to those from manually curated and verified phosphopeptides from our own experiments. We find that the PhosCalc scores are capable of helping a user to identify phosphorylated sites and can remove a bottleneck in high throughput proteomics analyses. Conclusion PhosCalc is available as a web-based interface for examining up to 100 peptides and as a downloadable tool for examining larger numbers of peptides. PhosCalc can be used to speed up identification of phosphorylation sites and can be easily integrated into data handling pipelines making it a very useful tool for those involved in phosphoproteomic research.

DNA-dependent RNA polymerase (Pol)IV in Arabidopsis exists in two isoforms (PolIVa and PolIVb), with NRPD1a and NRPD1b as their respective largest subunits. Both isoforms are implicated in production and activity of siRNAs and in RNA-directed DNA methylation (RdDM). Deep sequence analysis of siRNAs in WT Arabidopsis flowers and in nrpd1a and nrpd1b mutants identified >4,200 loci producing siRNAs in a PolIV-dependent manner, with PolIVb reinforcing siRNA production by PolIVa. Transposable element identity and pericentromeric localization are both features that predispose a locus for siRNA production via PolIV proteins and determine the extent to which siRNA production relies on PolIVb. Detailed analysis of DNA methylation at PolIV-dependent loci revealed unexpected deviations from the previously noted association of PolIVb-dependent siRNA production and RdDM. Notably, PolIVb functions independently in DNA methylation and siRNA generation. Additionally, we have uncovered siRNA-directed loss of DNA methylation, a process requiring both PolIV isoforms. From these findings, we infer that the role of PolIVb in siRNA production is secondary to a role in chromatin modification and is influenced by chromatin context.

Expression of a pyruvate decarboxylase (Pdc) pathway in metabolically versatile thermophilic bacteria could create novel ethanologenic organisms, but no suitable thermostable Pdc is available. We have demonstrated that Pdc from Zymomonas mobilis can be expressed in an active form in Geobacillus thermoglucosidasius at up to 52 degrees C, while expression of Pdc polypeptides up to 54 degrees C was evident from Western blotting. By using an unstable lactate dehydrogenase (ldh) mutant of G. thermoglucosidasius, indirect evidence of Pdc activity in vivo was also obtained.

The alternative sigma factor RpoN is a key regulator in the acclimation of Pseudomonas to complex natural environments. In this study we show that RpoN is required for efficient colonization of sugar beet seedlings by the plant growth-promoting bacterium Pseudomonas fluorescens SBW25, and use phenotypic and bioinformatic approaches to profile the RpoN-dependent traits and genes of P. fluorescens SBW25. RpoN is required for flagellar biosynthesis and for assimilation of a wide variety of nutrient sources including inorganic nitrogen, amino acids, sugar alcohols and dicarboxylic acids. Chemosensitivity assays indicate that RpoN-regulated genes contribute to acid tolerance and resistance to some antibiotics, including tetracyclines and aminoglycosides. Gain of function changes associated with loss of RpoN included increased tolerance to hydroxyurea and Guanazole. Bioinformatic predictions of RpoN-regulated genes show a close correspondence with phenotypic analyses of RpoN-regulated traits and suggest novel functions for RpoN in P. fluorescens, including regulation of poly(A) polymerase. The reduced plant colonization ability observed for an rpoN mutant of P. fluorescens is therefore likely to be due to defects in multiple traits including nutrient assimilation, protein secretion and stress tolerance.

Post-transcriptional gene silencing (PTGS) is a sequence-specific RNA degradation process conserved in fungi, plants and animals. The trigger of the mechanism is double-stranded RNA derived from transgenic or endogenous loci and formed by intra- or inter-molecular interactions of single-stranded RNAs or the action of RNA-dependent RNA polymerases (RDRs). Double-stranded RNA from various sources is processed by one of the four Dicer-like (DCL) proteins in Arabidopsis, and the resulting short RNAs enter into at least four different pathways, one of which involves the production of trans-acting short interfering RNAs (tasiRNAs). We report here a novel gene (SDE5) that is required for transgene silencing and the production of tasiRNAs. Mutation in SDE5 also results in hyper-susceptibility to cucumber mosaic virus but not turnip mosaic virus. However, like RDR6, SDE5 is not involved in inverted repeat-induced transgene silencing or the biogenesis of microRNAs and 24 nt siRNAs produced by DCL3. Based on these results, we propose that SDE5 acts together with RDR6 in generating double-stranded RNA from specific single-stranded RNAs. As the sequence of SDE5 has sequence features shared by TAP, a human mRNA export factor, we propose that its role could be in the transport of RNA molecules that are converted into a double-stranded form by RDR6.

Protein conjugation with ubiquitin, known as ubiquitination, is a key regulatory mechanism to control protein abundance, localization, and activity in eukaryotic cells. To identify ubiquitin-dependent regulatory steps in plants, we developed a robust affinity purification/identification system for ubiquitinated proteins. Using GST-tagged ubiquitin binding domains, we performed a large scale affinity purification of ubiquitinated proteins from Arabidopsis cell suspension culture. High molecular weight ubiquitinated proteins were separated by SDS-PAGE, and the trypsin-digested samples were then analyzed by a multidimensional protein identification technology (MudPIT) system. A total of 294 proteins specifically bound by the GST-tagged ubiquitin binding domains were identified. From these we determined 85 ubiquitinated lysine residues in 56 proteins, confirming the enrichment of the target class of proteins. Our data provide the first view of the ubiquitinated proteome in plants. We also provide evidence that this technique can be broadly applied to the study of protein ubiquitination in diverse plant species.

Summary: We report a novel protein domain—G8—which contains five repeated β-strand pairs and is present in some disease-related proteins such as PKHD1, KIAA1199, TMEM2 as well as other uncharacterized proteins. Most G8-containing proteins are predicted to be membrane-integral or secreted. The G8 domain may be involved in extracellular ligand binding and catalysis. It has been reported that mis-sense mutations in the two G8 domains of human PKHD1 protein resulted in a less stable protein and are associated with autosomal-recessive polycystic kidney disease, indicating the importance of the domain structure. G8 is also present in the N-terminus of some non-syndromic hearing loss disease-related proteins such as KIAA1109 and TMEM2. Discovery of G8 domain will be important for the research of the structure/function of related proteins and beneficial for the development of novel therapeutics. Contact: liangsp@hunnu.edu.cn

Background Evolution of new complex biological behaviour tends to arise by novel combinations of existing building blocks. The functional and evolutionary building blocks of the proteome are protein domains, the function of a protein being dependent on its constituent domains. We clustered completely-sequenced proteomes of prokaryotes on the basis of their protein domain content, as defined by Pfam (release 16.0). This revealed that, although there was a correlation between phylogeny and domain content, other factors also have an influence. This observation motivated an investigation of the relationship between an organism's lifestyle and the complement of domains and domain architectures found within its proteome. Results We took a census of all protein domains and domain combinations (architectures) encoded in the completely-sequenced proteobacterial genomes. Nine protein domain families were identified that are found in phylogenetically disparate plant-associated bacteria but are absent from non-plant-associated bacteria. Most of these are known to play a role in the plant-associated lifestyle, but they also included domain of unknown function DUF1427, which is found in plant symbionts and pathogens of the alpha-, beta- and gamma-Proteobacteria, but not known in any other organism. Further, several domains were identified as being restricted to phytobacteria and Eukaryotes. One example is the RolB/RolC glucosidase family, which is found only in Agrobacterium species and in plants. We identified the 0.5% of Pfam protein domain families that were most significantly over-represented in the plant-associated Proteobacteria with respect to the background frequencies in the whole set of available proteobacterial proteomes. These included guanylate cyclase, domains implicated in aromatic catabolism, cellulase and several domains of unknown function. We identified 459 unique domain architectures found in phylogenetically diverse plant pathogens and symbionts that were absent from non-pathogenic and non-symbiotic relatives. The vast majority of these were restricted to a single species or several closely related species and so their distributions could be better explained by phylogeny than by lifestyle. However, several architectures were found in two or more very distantly related phytobacteria but absent from non-plant-associated bacteria. Many of the proteins with these unique architectures are predicted to be secreted. In Pseudomonas syringae pathovar tomato, those genes encoding genes with novel domain architectures tended to have atypical GC contents and were adjacent to insertion sequence elements and phage-like sequences, suggesting acquisition by horizontal transfer. Conclusions By identifying domains and architectures unique to plant pathogens and symbionts, we highlighted candidate proteins for involvement in plant-associated bacterial lifestyles. Given that characterisation of novel gene products in vivo and in vitro is time-consuming and expensive, this computational approach may be useful for reducing experimental search space. Furthermore we discuss the biological significance of novel proteins highlighted by this study in the context of plant-associated lifestyles.

The planctomycetes are a phylum of bacteria that have a unique cell compartmentalisation and yeast-like budding cell division and peptidoglycan-less proteinaceous cell walls. We wished to further our understanding of these unique organisms at the molecular level by searching for conserved amino acid sequence motifs and domains in the proteins encoded by Rhodopirellula baltica. Using BLAST and single-linkage clustering, we have discovered several new protein domains and sequence motifs in this planctomycete. R. baltica has multiple members of the newly discovered GEFGR protein family and the ASPIC C-terminal domain family, whilst most other organisms for which whole genome sequence is available have no more than one. Many of the domains and motifs appear to be restricted to the planctomycetes. It is possible that these protein domains and motifs may have been lost or replaced in other phyla, or they may have undergone multiple duplication events in the planctomycete lineage. One of the novel motifs probably represents a novel N-terminal export signal peptide. With their unique cell biology, it may be that the planctomycete cell compartmentalisation plan in particular needs special membrane transport mechanisms. The discovery of these new domains and motifs, many of which are associated with secretion and cell-surface functions, will help to stimulate experimental work and thus enhance further understanding of this fascinating group of organisms.

MANSC (motif at N terminus with seven cysteines) is a novel domain with a well-conserved seven-cysteine motif that is present at the N terminus of membrane and extracellular proteins, including low-density lipoprotein receptor-related protein 11 (LRP-11), hepatocyte growth factor activator inhibitor 1 (HAI-1) and some uncharacterized proteins encoded by multicellular animals from Mollusca to Chordata. We postulate that the MANSC domain in HAI-1 might function through binding with hepatocyte growth factor activator and matriptase.

Pseudomonas syringae FF5 causes stem tip dieback disease on ornamental pear ( Pyrus calleryana ). Its genome encodes a complete type III secretion system (T3SS) and HopAC1, HopM1, AvrE1, HopI1, HopAA1, HopJ1, HopAH2, HopAH1, HopAG1, and HopAZ1. Lacking detectable homologues of other T3SS effectors, it may encode novel, undiscovered effectors.

Pseudomonas fuscovaginae was first reported as a pathogen of rice causing sheath rot in plants grown at high altitudes. P. fuscovaginae is now considered a broad-host-range plant pathogen causing disease in several economically important plants. We report what is, to our knowledge, the first draft genome sequence of a P. fuscovaginae strain.

We present draft genome sequences for three strains of Xanthomonas species, each of which was associated with banana plants (Musa species) but is not closely related to the previously sequenced banana-pathogen Xanthomonas campestris pathovar musacearum. Strain NCPPB4393 had been deposited as Xanthomonas campestris pathovar musacearum but in fact falls within the species Xanthomonas sacchari. Strain NCPPB1132 is more distantly related to Xanthomonas sacchari whilst strain NCPPB 1131 grouped in a distinct species-level clade related to X. sacchari, along with strains from ginger, rice, cotton and sugarcane. These three newly sequenced strains share many genomic features with the previously sequenced Xanthomonas albilineans, for example possessing an unsual metE allele and lacking the Hrp type III secretion system. However, they are distinct from Xanthomonas albilineans in many respects, for example showing little evidence of genome reduction. They also lack the SPI-1 type III secretion system found in Xanthomonas albilineans. Unlike X. albilineans, all three strains possess a gum gene cluster. The data reported here provide the first genome-wide survey of non-Hrp Xanthomonas species other than Xanthomonas albilineans, which is an atypical member of this group. We hope that the availability of complete sequence data for this group of organisms is the first step towards understanding their interactions with plants and identifying potential virulence factors.

DNA-looping mediated by regulatory proteins is a ubiquitous mode of transcriptional control that allows interactions between genetic elements separated over long distances in DNA. In prokaryotes, one of the best-studied examples of regulatory proteins that use DNA-looping is the NtrC family of enhancer-binding proteins (EBPs), which activate transcription from sigmaN (sigma-N, sigma-54) dependent promoters. The completely sequenced genome of food-borne pathogen Salmonella enterica serovar Typhimurium LT2 contains seven novel EBPs of unknown function. Four of these EBPs have a similar domain organisation to NtrC whilst surprisingly the remaining three resemble LevR in Bacillus subtilis. Probable transcriptional targets are identified for each of the EBPs, including novel homologues of phosphotransferase system Enzyme II (EII) and several virulence-associated functions. Comparisons are made with the related enteric bacteria Salmonella Typhi, Escherichia coli and Yersinia pestis.

The PspA protein, a negative regulator of the Escherichia coli phage shock psp operon, is produced when virulence factors are exported through secretins in many Gram-negative pathogenic bacteria and its homologue in plants, VIPP1, plays a critical role in thylakoid biogenesis, essential for photosynthesis. Activation of transcription by the enhancer-dependent bacterial sigma(54) containing RNA polymerase occurs through ATP hydrolysis-driven protein conformational changes enabled by activator proteins that belong to the large AAA(+) mechanochemical protein family. We show that PspA directly and specifically acts upon and binds to the AAA(+) domain of the PspF transcription activator. Interactions involving PspF and nucleotide are changed by the action of PspA. These changes and the complexes that form between PspF and PspA can explain how PspA exerts its negative effects upon transcription activated by PspF, and are of significance when considering how activities of other AAA(+) proteins might be controlled.

Sigma factor sigma(28) (sigma(F), FliA, SigD) directs RNA polymerase to transcribe the genes required for flagellar biosynthesis and chemotaxis in many bacteria, including Bacillus subtilis, Legionella pneumophila, Salmonella typhimurium, Escherichia coli, Yersinia enterolytica, Treponema maltophilum and Pseudomonas aeruginosa. Remarkably the fliA gene from the extreme thermophile Aquifex aeolicus restored motility to the E. coli mutant at relatively low temperature, albeit partially. This clearly demonstrates that A. aeolicus sigma(28) is able to direct RNA polymerase to E. coli sigma(28)-dependent promoters and take part in the complex interactions required to support transcription of the flagellar apparatus in vivo. The ability of A. aeolicus sigma(28) to function with mesophilic components shows that critical functional interactions made by these sigma factors are well conserved, and are not dependent upon high temperature. We over-produced and purified the sigma(28) protein and demonstrated binding to E. coli core RNA polymerase in vitro. In common with SigD from B. subtilis, but unlike most sigma factors, A. aeolicus sigma(28) showed DNA binding activity in vitro but there was no evidence of sequence specificity. We note that A. aeolicus sigma(28) is a good candidate for structural studies.

New sequencing methods have enabled the assembly of whole microbial genomes in a matter of days, greatly expanding the volume and scope of microbial sequencing efforts. This article reviews the current capabilities of the various high-throughput sequencing technologies and data analysis tools in the context of their application to microbial genomics. New sequencing methods generate data that can allow the assembly of microbial genome sequences in days. With such revolutionary advances in technology come new challenges in methodologies and informatics. In this article, we review the capabilities of high-throughput sequencing technologies and discuss the many options for getting useful information from the data.

The sigma(N) protein is an alternative sigma subunit of bacterial RNA polymerase. We investigated the role of a 12-amino-acid "tail" at the C-terminus of Klebsiella pneumoniae sigma(N), which was predicted to be largely surface-exposed and to be mostly loop (that is not alpha-helical or beta-strand). Deletion of this tail from N-terminal hexahistidine-tagged sigma(N) led to loss of sigma(N)-dependent transcription activity in vivo. We overexpressed and purified this deletion-mutant protein for in vitro characterization. The purified deleted protein showed decreased RNA polymerase core- and DNA-binding activities compared to the full-length protein and transcription activity was greatly impaired. Furthermore, evidence from circular dichroism and protease digestion experiments together suggested that deletion of the C-terminus tail resulted in a loss of conformational constraint in the protein. We discuss a possible structural role for the 12 amino acids at the C-terminus of sigma(N).

Summary: Recent developments in high-throughput sequencing technologies have generated considerable demand for tools to analyse large datasets of small RNA sequences. Here, we describe a suite of web-based tools for processing plant small RNA datasets. Our tools can be used to identify micro RNAs and their targets, compare expression levels in sRNA loci, and find putative trans-acting siRNA loci. Availability: The tools are freely available for use at http://srna-tools.cmp.uea.ac.uk Contact: vincent.moulton@cmp.uea.ac.uk

Summary: We report AtPRIMER, an application that automates the discovery of new polymorphic markers between ecotypes of Arabidopsis thaliana. On specifying two ecotypes and the genomic region of interest, the script retrieves all corresponding single nucleotide polymorphisms (SNPs) and generates CAPS and/or dCAPS PCR primer sequences. We show that AtPRIMER accurately found specific polymorphic markers for our linkage mapping project. AtPRIMER will therefore be useful for efficient marker development with high density and specificity.Availability: This PERL/CGI program is available for non-commercial users at http://www.AtPRIMER.tsl.ac.uk. The web-based version is available for public use at the same URL.Contact: adnane.nemri@tsl.ac.uk

Salicylidene acylhydrazides identified as inhibitors of virulence-mediating type III secretion systems (T3SSs) potentially target their inner membrane export apparatus. They also lead to inhibition of flagellar T3SS-mediated swimming motility in Salmonella enterica serovar. Typhimurium. We show that INP0404 and INP0405 act by reducing the number of flagella/cell. These molecules still inhibit motility of a Salmonella ΔfliH-fliI-fliJ/flhB((P28T)) strain, which lacks three soluble components of the flagellar T3S apparatus, suggesting that they are not the target of this drug family. We implemented a genetic screen to search for the inhibitors' molecular target(s) using motility assays in the ΔfliH-fliI/flhB((P28T)) background. Both mutants identified were more motile than the background strain in the absence of the drugs, although HM18 was considerably more so. HM18 was more motile than its parent strain in the presence of both drugs while DI15 was only insensitive to INP0405. HM18 was hypermotile due to hyperflagellation, whereas DI15 was not hyperflagellated. HM18 was also resistant to a growth defect induced by high concentrations of the drugs. Whole-genome resequencing of HM18 indicated two alterations within protein coding regions, including one within atpB, which encodes the inner membrane a-subunit of the F(O)F(1)-ATP synthase. Reverse genetics indicated that the alteration in atpB was responsible for all of HM18's phenotypes. Genome sequencing of DI15 uncovered a single A562P mutation within a gene encoding the flagellar inner membrane protein FlhA, the direct role of which in mediating drug insensitivity could not be confirmed. We discuss the implications of these findings in terms of T3SS export apparatus function and drug target identification.

The NCD3G [for nine-cysteine domain of family 3 G-protein-coupled receptors (GPCRs)] domain is a novel protein domain that is conserved in family 3 GPCRs, including metabotropic glutamate receptors, calcium-sensing receptors, pheromone receptors and taste receptors, with the exception of GABA(B) receptors. The NCD3G domain contains nine highly conserved cysteine residues. Structural predictions suggest that NCD3G might possess four beta strands and three disulfide bridges. The structural model of NCD3G highlights the conserved residues co-segregated with certain familial diseases.

Streptomyces coelicolor is a bacterium with a vast repertoire of metabolic functions and complex systems of cellular development. Its genome sequence is rich in genes that encode regulatory proteins to control these processes in response to its changing environment. We wished to apply a recently published bioinformatic method for identifying novel regulatory sequence signals to gain new insights into regulation in S. coelicolor. The method involved production of position-specific weight matrices from alignments of over-represented words of DNA sequence. We generated 2497 weight matrices, each representing a candidate regulatory DNA sequence motif. We scanned the genome sequence of S. coelicolor against each of these matrices. A DNA sequence motif represented by one of the matrices was found preferentially in non-coding sequences immediately upstream of genes involved in polysaccharide degradation, including several that encode chitinases. This motif (TGGTCTAGACCA) was also found upstream of genes encoding components of the phosphoenolpyruvate phosphotransfer system (PTS). We hypothesise that this DNA sequence motif represents a regulatory element that is responsive to availability of carbon-sources. Other motifs of potential biological significance were found upstream of genes implicated in secondary metabolism (TTAGGTtAGgCTaACCTAA), sigma factors (TGACN19TGAC), DNA replication and repair (ttgtCAGTGN13TGGA), nucleotide conversions (CTACgcNCGTAG), and ArsR (TCAGN12TCAG). A motif found upstream of genes involved in chromosome replication (TGTCagtgcN7Tagg) was similar to a previously described motif found in UV-responsive promoters. We successfully applied a recently published in silico method to identify conserved sequence motifs in S. coelicolor that may be biologically significant as regulatory elements. Our data are broadly consistent with and further extend data from previously published studies. We invite experimental testing of our hypotheses in vitro and in vivo.

The transition metal molybdenum is essential for life. Escherichia coli imports this metal into the cell in the form of molybdate ions, which are taken up via an ABC transport system. In E. coli and other Proteobacteria molybdenum metabolism and homeostasis are regulated by the molybdate-responsive transcription factor ModE. Orthologues of ModE are widespread amongst diverse prokaryotes, but not ubiquitous. We identified probable ModE-binding sites upstream of genes implicated in molybdenum metabolism in green sulphur bacteria and methanogenic Archaea as well as in Proteobacteria. We also present evidence of horizontal transfer of nitrogen fixation genes between green sulphur bacteria and methanogenic Archaea. Whereas most of the archaeal helix-turn-helix-containing transcription factors belong to families that are Archaea-specific, ModE is unusual in that it is found in both Archaea and Bacteria. Moreover, its cognate upstream DNA recognition sequence is also conserved between Archaea and Bacteria, despite the fundamental differences in their core transcription machinery. ModE is the third example of a transcriptional regulator with a binding signal that is conserved in Bacteria and Archaea.

We wished to compare two databases based on sequence similarity: one that aims to be comprehensive in its coverage of known sequences, and one that specialises in a relatively small subset of known sequences. One of the motivations behind this study was quality control. Pfam is a comprehensive collection of alignments and hidden Markov models representing families of proteins and domains. MEROPS is a catalogue and classification of enzymes with proteolytic activity (peptidases or proteases). These secondary databases are used by researchers worldwide, yet their contents are not peer reviewed. Therefore, we hoped that a systematic comparison of the contents of Pfam and MEROPS would highlight missing members and false-positives leading to improvements in quality of both databases. An additional reason for carrying out this study was to explore the extent of consensus in the definition of a protein family. About half (89 out of 174) of the peptidase families in MEROPS overlapped single Pfam families. A further 32 MEROPS families overlapped multiple Pfam families. Where possible, new Pfam families were built to represent most of the MEROPS families that did not overlap Pfam. When comparing the numbers of sequences found in the overlap between a MEROPS family and its corresponding Pfam family, in most cases the overlap was substantial (52 pairs of MEROPS and Pfam families had an intersection size of greater than 75% of the union) but there were some differences in the sets of sequences included in the MEROPS families versus the overlapping Pfam families. A number of the discrepancies between MEROPS families and their corresponding Pfam families arose from differences in the aims and philosophies of the two databases. Examination of some of the discrepancies highlighted additional members of families, which have subsequently been added in both Pfam and MEROPS. This has led to improvements in the quality of both databases. Overall there was a great deal of consensus between the databases in definitions of a protein family.

"Genomics of Erwinia amylovora and Related Erwinia Species Associated with Pome Fruit Trees" by Youfu Zhao.- "Genomics of Plant-Associated Bacteria: The Soft Rot Enterobacteriaceae" by Amy O. Charkowski, Jenna Lind and Isael Rubio-Salazar.- "Ecological Genomics of Pseudomonas syringae" by David A. Baltrus, Tory A. Hendry and Kevin L. Hockett.- "Pseudomonas syringae Genomics: From Comparing Individual Strains to Analyzing Entire Populations" by Boris A. Vinatzer, Caroline L. Monteil and David J. Studholme.- "Genetics and Functional Genomics of the Pseudomonas fluorescens Group" by Sarah Craven Seaton and Mark W. Silby.- "The Genomics of Xanthomonas oryzae" by Lindsay Triplett, Ralf Koebnik, Valerie Verdier and Jan E. Leach.- "Genomics of Xanthomonas citri and Related Species" by Neha Jalan, Qing Yan, Sunitha Kogenaru, Yinping Guo, Jeffrey B. Jones, James H. Graham and Nian Wang.- "Genomic Insights into Xylella fastidiosa Interactions with Plant and Insect Hosts" by Adam C. Retchless, Fabien Labroussaa, Lori Shapiro, Drake C. Stenger, Steven E. Lindow and Rodrigo P. P. Almeida.- "Comparative Genomics of the Liberibacteral Plant Pathogens" by Hong Lin and Edwin L. Civerolo.- "Phytoplasma Genomes: Evolution through Mutually Complementary Mechanisms, Gene Loss and Horizontal Acquisition" by Yan Zhao, Robert E. Davis, Wei Wei, Jonathan Shao and Rasa Jomantiene.