Bioinformatics, functional genomics, and proteomics study of Bacillus sp

Polynucleotide phosphorylase is involved in the control of lipopeptide fengycin production in Bacillus subtilis

Bacillus subtilis is a wealth source of lipopeptide molecules such as iturins, surfactins and fengycins or plipastatins endowed with a range of biological activities. These molecules, designated secondary metabolites, are synthesized via non-ribosomal peptides synthesis (NRPS) machinery and are most often subjected to a complex regulation with involvement of several regulatory factors. To gain novel insights on mechanism regulating fengycin production, we investigated the effect of the fascinating polynucleotide phosphorylase (PNPase), as well as the effect of lipopeptide surfactin. Compared to the wild type, the production of fengycin in the mutant strains B. subtilis BBG235 and BBG236 altered for PNPase has not only decreased to about 70 and 40%, respectively, but also hampered its antifungal activity towards the plant pathogen Botrytis cinerea. On the other hand, mutant strains BBG231 (srfAA^-) and BBG232 (srfAC^-) displayed different levels of fengycin production. BBG231 had registered an important decrease in fengycin production, comparable to that observed for BBG235 or BBG236. This study permitted to establish that the products of pnpA gene (PNPase), and srfAA^- (surfactin synthetase) are involved in fengycin production.

Study of the correlation between fengycin promoter expression and its production by Bacillus subtilis under different culture conditions and the impact on surfactin production

This work aimed to rely expression of the fengycin promoter to fengycin production under different culture conditions. To this end, Bacillus subtilis BBG208, derived from BBG21, which is a fengycin overproducing strain carrying the green fluorescent protein (GFP) under the control of fengycin promoter, was used to assess the effects of different carbon and nitrogen sources on surfactin and fengycin production and the fengycin promoter expression. The data showed that some carbon sources oriented synthesis of one family of lipopeptides, while most of the nitrogen sources allowed high co-production of fengycin and surfactin. High expressions of promoter P_fen and fengycin synthesis were obtained with urea or urea + ammonium mixture as nitrogen source and mannitol as carbon source. Moreover, temperature, pH and oxygenation influenced their biosynthesis based on the nutrition conditions. Optimization of the production medium increased the fengycin production to 768 mg L^-1, which is the highest level reported for this strain. This study defines the suitable nutrient conditions allowing as well the highest expression of the fengycin promoter and portrays the conditions relying on the fengycin and surfactin production.

Functional, structural and epitopic prediction of hypothetical proteins of Mycobacterium tuberculosis H37Rv: An in silico approach for prioritizing the targets

The global control of tuberculosis (TB) remains a great challenge from the standpoint of diagnosis, detection of drug resistance, and treatment. Major serodiagnostic limitations include low sensitivity and high cost in detecting TB. On the other hand, treatment measures are often hindered by low efficacies of commonly used drugs and resistance developed by the bacteria. Hence, there is a need to look into newer diagnostic and therapeutic targets. The proteome information available suggests that among the 3906 proteins in Mycobacterium tuberculosis H37Rv, about quarter remain classified as hypothetical uncharacterized set. This study involves a combination of a number of bioinformatics tools to analyze those hypothetical proteins (HPs). An entire set of 999 proteins was primarily screened for protein sequences having conserved domains with high confidence using a combination of the latest versions of protein family databases. Subsequently, 98 of such potential target proteins were extensively analyzed by means of physicochemical characteristics, protein-protein interaction, sub-cellular localization, structural similarity and functional classification. Next, we predicted antigenic proteins from the entire set and identified B and T cell epitopes of these proteins in M. tuberculosis H37Rv. We predicted the function of these HPs belong to various classes of proteins such as enzymes, transporters, receptors, structural proteins, transcription regulators and other proteins. However, the structural similarity prediction of the annotated proteins substantiated the functional classification of those proteins. Consequently, based on higher antigenicity score and sub-cellular localization, we choose two (NP_216420.1, NP_216903.1) of the antigenic proteins to exemplify B and T cell epitope prediction approach. Finally we found 15 epitopes those located partially or fully in the linear epitope region. We found 21 conformational epitopes by using Ellipro server as well. In silico methodology used in this study and the data thus generated for HPs of M. tuberculosis H37Rv may facilitate swift experimental identification of potential serodiagnostic and therapeutic targets for treatment and control.

Proteomic analysis of enzyme production by Bacillus licheniformis using different feather wastes as the sole fermentation media

This study evaluates the use of different types of feathers as fermentation media for enzyme production. Bacillus licheniformis was grown on the feathers, which lead to total biodegradation due to bacterial enzymatic hydrolytic excretion. B. licheniformis excretes protease and lipase activity, with feather concentration being the main parameter controlling their generation. Using a proteomic approach, the proteins excreted during fermentation were identified, and the influence of the chemical composition of the feathers on protein secretion was tested. The identified proteins are hydrolytic enzymes such as keratinase, gamma-glutamyltranspeptidase, chitosanases, and glicosidases. The diversity of proteins is related to the chemical complexity of the feathers. Understanding the composition of a hydrolytic system, when B. licheniformis is cultured on different feathers, may assist in utilizing such a system for producing different hydrolytic enzymes. The data indicate that proteomics can be a valuable tool for describing the physiological state of B. licheniformis cell populations growing on different wastes.

Surfactant-associated protein A provides critical immunoprotection in neonatal mice

The collectins surfactant-associated protein A (SP-A) and SP-D are components of innate immunity that are present before birth. Both proteins bind pathogens and assist in clearing infection. The significance of SP-A and SP-D as components of the neonatal immune system has not been investigated. To determine the role of SP-A and SP-D in neonatal immunity, wild-type, SP-A null, and SP-D null mice were bred in a bacterium-laden environment (corn dust bedding) or in a semisterile environment (cellulose fiber bedding). When reared in the corn dust bedding, SP-A null pups had significant mortality (P < 0.001) compared to both wild-type and SP-D null pups exposed to the same environment. The mortality of the SP-A null pups was associated with significant gastrointestinal tract pathology but little lung pathology. Moribund SP-A null newborn mice exhibited Bacillus sp. and Enterococcus sp. peritonitis. When the mother or newborn produced SP-A, newborn survival was significantly improved (P < 0.05) compared to the results when there was a complete absence of SP-A in both the mother and the pup. Significant sources of SP-A likely to protect a newborn include the neonatal lung and gastrointestinal tract but not the lactating mammary tissue of the mother. Furthermore, exogenous SP-A delivered by mouth to newborn SP-A null pups with SP-A null mothers improved newborn survival in the corn dust environment. Therefore, a lack of SP-D did not affect newborn survival, while SP-A produced by either the mother or the pup or oral exogenous SP-A significantly reduced newborn mortality associated with environmentally induced infection in SP-A null newborns.

A combined dataset of human cerebrospinal fluid proteins identified by multi-dimensional chromatography and tandem mass spectrometry

Human cerebrospinal fluid (CSF) is an important source for studying protein biomarkers of age-related neurodegenerative diseases. Before characterizing biomarkers unique to each disease, it is necessary to categorize CSF proteins systematically and extensively. However, the enormous complexity, great dynamic range of protein concentrations, and tremendous protein heterogeneity due to post-translational modification of CSF create significant challenges to the existing proteomics technologies for an in-depth, nonbiased profiling of the human CSF proteome. To circumvent these difficulties, in the last few years, we have utilized several different separation methodologies and mass spectrometric platforms that greatly enhanced the identification coverage and the depth of protein profiling of CSF to characterize CSF proteome. In total, 2594 proteins were identified in well-characterized pooled human CSF samples using stringent proteomics criteria. This report summarizes our efforts to comprehensively characterize the human CSF proteome to date.

Enhanced detectability in proteome studies

The discovery of candidate biomarkers from biological materials coupled with the development of detection methods holds both incredible clinical potential as well as significant challenges. However, the proteomic techniques still provide the low dynamic range of protein detection at lower abundances. This review describes the current development of potential methods to enhance the detection and quantification in proteome studies. It also includes the bioinformatics tools that are helpfully used for data mining of protein ontology. Therefore, we believe that this review provided many proteomic approaches, which would be very potent and useful for proteome studies and for further diagnostic and therapeutic applications.

Proteomics analysis of a novel compound: Cyclic RGD in breast carcinoma cell line MCF-7

In studies of cell adhesion, migration, growth, differentiation, and apoptosis, synthetic peptides containing the RGD (Arg-Gly-Asp) motif have been extensively used as the inhibitors of integrin-ligand interactions. The RGD motif is an integrin-recognition motif found in many ligands, so that the RGD-containing peptides can be used to probe integrin functions in various biological systems. A linear RGD is a tripeptide consisting of a flexible structure that makes the motif bind to its receptor with inefficient chelating affinity. Therefore, we designed a cyclic-RGD peptide (Tpa-RGDWPC, cRGD) with rigid skeleton to closely bind with its receptor. The cRGD was obtained by solid-phase peptide synthesis method using Rink amide resin. We showed that the cRGD exerts more potency than linear RGD on inhibiting cell growth of MCF-7 breast carcinoma cells. This stimulated us to question how cRGD inhibits cell growth of MCF-7 cells. Moreover, understanding what molecular mechanism underlies the effect that RGD motif exerts on MCF-7 cells is also of considerable importance. We used proteomics and bioinformatics to survey the global changes in proteins after cRGD treatment in MCF-7 cells. The classification of these proteins is shown according to the different biological processes in which they are involved. Most of the proteins that appear to be strongly influenced by cRGD treatment are involved in metabolism, cell growth, responsive to external stimulus, cell communication, reproduction and cell death. This is the first report which monitors the protein expression profile of MCF-7 cells in response to treatment with RGD-containing peptides in a time-course analysis. The clustering data indicated temporal patterns of altered protein expression that can be categorized into early, intermediate and late response proteins. These patterns of protein expression may be important for predicting its response to cRGD. In summary, these results provide a molecular explanation for the properties of cRGD in breast cancer cells and present a valuable in-depth description of their possible impact on breast cancer therapy.

Functional proteomics and correlated signaling pathway of the thermophilic bacterium Bacillus stearothermophilus TLS33 under cold-shock stress

The thermophilic bacterium Bacillus stearothermophilus TLS33 was examined under cold-shock stress by a proteomic approach to gain a better understanding of the protein synthesis and complex regulatory pathways of bacterial adaptation. After downshift in the temperature from 65 degrees C, the optimal growth temperature for this bacterium, to 37 degrees C and 25 degrees C for 2 h, we used the high-throughput techniques of proteomic analysis combining 2-DE and MS to identify 53 individual proteins including differentially expressed proteins. The bioinformatics database was used to search the biological functions of proteins and correlate these with gene homology and metabolic pathways in cell protection and adaptation. Eight cold-shock-induced proteins were shown to have markedly different protein expression: glucosyltransferase, anti-sigma B (sigma(B)) factor, Mrp protein homolog, dihydroorthase, hypothetical transcriptional regulator in FeuA-SigW intergenic region, RibT protein, phosphoadenosine phosphosulfate reductase and prespore-specific transcriptional activator RsfA. Interestingly, six of these cold-shock-induced proteins are correlated with the signal transduction pathway of bacterial sporulation. This study aims to provide a better understanding of the functional adaptation of this bacterium to environmental cold-shock stress.

Proteomics viewed on stress response of thermophilic bacteriumBacillus stearothermophilus TLS33

Thermophilic bacterium Bacillus stearothermophilus TLS33, isolated from a hot spring in Chiang Mai, Thailand, usually produces many enzymes that are very useful for industrial applications. However, the functional properties and mechanisms of this bacterium under stress conditions are rarely reported and still need more understanding on how the bacterium can survive in stress environments. In this study, we examined the oxidative stress induced proteins of this bacterium by proteomic approach combining two-dimensional electrophoresis and mass spectrometry. When the bacterium encountered oxidative stress, peroxiredoxin, as an antioxidant enzyme, is one of the interesting stressed proteins which appeared to be systematically increased with different pI. There are four isoforms of peroxiredoxin, denoted as Prx I, Prx II, Prx III and Prx IV, which are observed at the same molecular weight of 27 kDa but differ in pI values of 5.0, 4.87, 4.81 and 4.79, respectively. The H2O2 concentration directly increased Prx II, Prx III and Prx IV intensities, but decreased Prx I intensity. These shifting of peroxiredoxin isoforms may occur by a post-translational modification. Otherwise, the longer time of oxidative stress had not affected the expression level of peroxiredoxin isoforms. Therefore, this finding of peroxiredoxin intends to know the bacterial adaptation under oxidative stress. Otherwise, this protein plays an important role in many physiological processes and able to use in the industrial applications.

A new application of microwave technology to proteomics

Two-dimensional electrophoresis (2-DE) combined with mass spectrometry has significantly improved the possibilities of large-scale identification of proteins. However, 2-DE is limited by its inability to speed up the in-gel digestion process. We have developed a new approach to speed up the protein identification process utilizing microwave technology. Proteins excised from gels are subjected to in-gel digestion with endoprotease trypsin by microwave irradiation, which rapidly produces peptide fragments. The peptide fragments were further analyzed by matrix-assisted laser desorption/ionization technique for protein identification. The efficacy of this technique for protein mapping was demonstrated by the mass spectral analyses of the peptide fragmentation of several proteins, including lysozyme, albumin, conalbumin, and ribonuclease A. The method reduced the required time for in-gel digestion of proteins from 16 hours to as little as five minutes. This new application of microwave technology to protein identification will be an important advancement in biotechnology and proteome research.

Cyanobacterial postgenomic research and systems biology

The genomic era brought with it the capacity to unlock complex interactions in organisms and biological systems. Currently, by exploiting genomic and associated protein information through in silico analyses, postgenomic research is developing rapidly. This field, which encompasses functional genomics, structural genomics, transcriptomics, pharmacogenomics, proteomics and metabolomics, allows for a systems-wide approach to biological studies. To date, bacterial postgenomic research has focused mainly on a few representative pathogenic species, leaving the vast majority of the microbial community relatively overlooked. Amongst the under-represented microorganisms are the cyanobacteria, which are important for their beneficial natural product production, bioremediation and energy applications. Here, we highlight the current status of cyanobacterial postgenomic research and assess the potential for future metabolic engineering and "cell factory" or "microbial cell" development.