Discriminative features of type I and type III secreted proteins from Gram-negative bacteria

The amino acid composition of sequences and structural attributes (α-helices, β-sheets) of C-and N-terminal fragments (50 amino acids) were compared to annotated (SWISS-PROT/ TrEMBL) type I (20 sequences) and type III (22 sequences) secreted proteins of Gram-negative bacteria. The discriminant analysis together with the stepwise forward and backward selection of variables revealed the frequencies of the residues Arg, Glu, Gly, Ile, Met, Pro, Ser, Tyr, Val as a set of strong (1-P < 0.001) predictor variables to discriminate between the sequences of type I and type III secreted proteins with a cross-validated accuracy of 98.6–100 %. The internal and external validity of discriminant analysis was confirmed by multiple (15 repeats) test-retest procedures using a randomly split original set of proteins; this validation method demonstrated an accuracy of 100 % for 191 non-selected (retest) sequences. The discriminant analysis was also applied using selected variables from the propensities for β-sheets and polarity of C-terminal fragments. This approach produced the next highest and comparable cross-validated classification accuracy for randomly selected and retest proteins (85.4–86.0 % and 82.4–84.5 %, respectively). The proposed sets of predictor variables could be used to assess the compatibility between secretion substrates and secretion pathways of Gram-negative bacteria by means of discriminant analysis.     

Distinguishable codon usage and amino acid composition patterns among substrates of leaderless secretory pathways from proteobacteria

The combined set of codon usage frequencies (61 sense codons) from the 111 annotated sequences of leaderless secreted type I, type III, type IV, and type VI proteins from proteobacteria were subjected to the forward and backward selection to obtain a combination of most effective predictor variables for classification/prediction purposes. The group of 24 codon frequencies displayed a strong discriminatory power with an accuracy of 100% for originally grouped and 97.3 ± 1.6% for cross-validated (LOOCV) cases and an acceptable error rate (0.062 ± 0.012) in k-fold (k = 6) cross-validation (KCV). The summary frequencies of synonymous codons for ten amino acids as the alternative predictor variables revealed a comparable discriminatory power (92.8 ± 2.5% for LOOCV), however at somewhat lower levels of prediction accuracy (0.106 ± 0.015 of KCV). A number of significant (p < 0.001) differences were found among indices of codon usage and amino acid composition depending on a definite secretion type. About 60% of secretion substrates were characterized as apparently originated from horizontal gene transfer events or putative alien genes and found to be unequally allocated in respect of groups. The proposed prediction approaches could be used to specify secretome proteins from genomic sequences as well as to assess the compatibility between bacterial secretion pathways and secretion substrates.     

Dissection of a type VI secretion system in Edwardsiella tarda

Bacterial pathogens use different protein secretion systems to deliver virulence factors. Recently, a novel secretion system was discovered in several Gram-negative bacterial pathogens, and was designated as the type VI secretion system (T6SS). In Edwardsiella tarda, a partial E. tardavirulent protein (EVP) gene cluster was implicated in protein secretion. Here, we identified the entire EVP cluster as a T6SS and two additional secreted proteins (EvpI, a homologue of VgrG, and EvpP) were found. We systematically mutagenized all the 16 EVP genes and found that the secretion of EvpP was dependent on 13 EVP proteins including EvpC (a homologue of Hcp) and EvpI but not EvpD and EvpJ. All EVP mutants except DeltaevpD were attenuated in blue gourami fish. The 16 EVP proteins can be grouped according to their functions and cellular locations. The first group comprises 11 non-secreted and possibly intracellular apparatus proteins. Among them, EvpO, a putative ATPase which contained a Walker A motif, showed possible interactions with three EVP proteins (EvpA, EvpL and EvpN). The second group includes three secreted proteins (EvpC, EvpI and EvpP). The secretion of EvpC and EvpI is mutually dependent, and they are required for the secretion of EvpP. The interaction between EvpC and EvpP was demonstrated. Lastly, two proteins (EvpD and EvpJ) are not required for the T6SS-dependent secretion.     

Subset of hybrid eukaryotic proteins is exported by the type I secretion system of Erwinia chrysanthemi

Erwinia chrysanthemi exports degradative enzymes by using a type I protein secretion system. The proteases secreted by this system lack an N-terminal signal peptide but contain a C-terminal secretion signal. To explore the substrate specificity of this system, we have expressed the E. chrysanthemi transporter system (prtDEF genes) in Escherichia coli and tested the ability of this ABC transporter to export hybrid proteins carrying C-terminal fragments of E. chrysanthemi protease B. The C terminus contains six glycine-rich repeated motifs, followed by two repeats of the sequences DFLV and DIIV. Two types of hybrid proteins were assayed for transport, proteins with the 93-residue-protease-B C terminus containing one glycine-rich repeat and both hydrophobic terminal repeats and proteins with the 181-residue C terminus containing all repeat motifs. Although the shorter C terminus is unable to export the hybrids, the longer C terminus can promote the secretion of hybrid proteins with N termini as large as 424 amino acids, showing that the glycine-rich motifs are required for the efficient secretion of these hybrids. However, the secretion of hybrids occurs only if these proteins do not carry disulfide bonds in their mature structures. These latter results suggest that disulfide bond formation can occur prior to or during the secretion. Disulfide bonds may prevent type I secretion of hybrids. One simple hypothesis to explain these results is that the type I channel is too narrow to permit the export of proteins with secondary structures stabilized by disulfide bonds.     

The role of signal sequence proximal residues in the mature region of bacterial secreted proteins in E. coli

Secreted proteins contain an N-terminal signal peptide to guide them through the secretion pathway. Once the protein is translocated, the signal peptide is removed by a signal peptidase, such as signal peptidase I. The signal peptide has been extensively studied and reviewed; however, the mature region has not been the focus of review. Here we cover the experimental evidence that highlights the important role of the mature region amino acid residues in both the efficiency and the ability of secreted proteins to be successfully exported via secretion pathways and cleaved by signal peptidase I.     

Robust discriminant analysis and its application to identify protein coding regions of rice genes

Identification of protein coding regions is fundamentally a statistical pattern recognition problem. Discriminant analysis is a statistical technique for classifying a set of observations into predefined classes and it is useful to solve such problems. It is well known that outliers are present in virtually every data set in any application domain, and classical discriminant analysis methods (including linear discriminant analysis (LDA) and quadratic discriminant analysis (QDA)) do not work well if the data set has outliers. In order to overcome the difficulty, the robust statistical method is used in this paper. We choose four different coding characters as discriminant variables and an approving result is presented by the method of robust discriminant analysis.     

Formation of disulphide bonds during secretion of proteins through the periplasmic-independent type I pathway

In this work, we have investigated whether the bacterial type I secretion pathway, which does not have a periplasmic intermediate of the secreted protein, allows the formation of disulphide bridges. To this end, the formation of disulphide bonds has been studied in an antibody single-chain Fv (scFv) fragment secreted by the Escherichia coli haemolysin (Hly) transporter (a paradigm of type I secretion). The scFv antibody fragment was used as a disulphide bond and protein-folding reporter, as it contains two disulphide bridges that are required for its correct folding (i.e. to preserve its antigen-binding activity). We show that an scFv-HlyA hybrid secreted by Hly type I transporter (TolC, HlyB, HlyD) is accumulated in the extracellular medium with the disulphide bonds correctly formed. Neither periplasmic and inner membrane-bound Dsb enzymes (e.g. DsbC, DsbG, DsbB and DsbD) nor cytoplasmic thioredoxins (TrxA and TrxC) were required for scFv-HlyA oxidation. However, a mutation of the thioredoxin reductase gene (trxB), which leads to the cytoplasmic accumulation of the oxidized forms of thioredoxins, had a specific inhibitory effect on the Hly-dependent secretion of disulphide-containing proteins. These data suggest that premature cytoplasmic oxidation of the substrate may interfere with the secretion process. Taken together, these results indicate not only that the type I system tolerates secretion of disulphide-containing proteins, but also that disulphide bonds are specifically formed during the passage of the polypeptide through the export conduit.     

Comparison of S-layer secretion genes in freshwater caulobacters

Our freshwater caulobacter collection contains about 40 strains that are morphologically similar to Caulobacter crescentus. All elaborate a crystalline protein surface (S) layer made up of protein monomers 100-193 kDa in size. We conducted a comparative study of S-layer secretion in 6 strains representing 3 size groups of S-layer proteins: small (100-108 kDa), medium (122-151 kDa), and large (181-193 kDa). All contained genes predicted to encode ATP-binding cassette transporters and membrane fusion proteins highly similar to those of C. crescentus, indicating that the S-layer proteins were all secreted by a type I system. The S-layer proteins' C-termini showed unexpectedly low sequence similarity but contained conserved residues and predicted secondary structure features typical of type I secretion signals. Cross-expression studies showed that the 6 strains recognized secretion signals from C. crescentus and Pseudomonas aeruginosa and similarly that C. crescentus was able to secrete the S-layer protein C-terminus of 1 strain examined. Inactivation of the ATP-binding cassette transporter abolished S-layer protein secretion, indicating that the type I transporter is necessary for S-layer protein secretion. Finally, while all of the S-layer proteins of this subset of strains were secreted by type I mechanisms, there were significant differences in genome positions of the transporter genes that correlated with S-layer protein size.     

细菌的IV型分泌系统

细菌的分泌系统与细菌的生存及致病性密切相关。细菌的分泌系统包括I-VI型,其中,IV型分泌系统是与细菌接合机制有关的一类分泌系统。IV型分泌系统不但可以转运DNA,还可以转运蛋白质及核糖核蛋白复合物等大分子物质,这点区别于其他几种分泌系统。IV型分泌系统介导基因水平转移,通过细菌间接合作用,传递抗性基因和毒力基因,有利于细菌进化;另一方面,IV型分泌系统转运效应蛋白质分子到宿主细胞,参与细菌致病。本文着重从IV型分泌系统几种主要类型的分泌机制等方面对IV型分泌系统进行概述。     

Prediction of the location and type of beta-turns in proteins using neural networks.

A neural network has been used to predict both the location and the type of beta-turns in a set of 300 nonhomologous protein domains. A substantial improvement in prediction accuracy compared with previous methods has been achieved by incorporating secondary structure information in the input data. The total percentage of residues correctly classified as beta-turn or not-beta-turn is around 75% with predicted secondary structure information. More significantly, the method gives a Matthews correlation coefficient (MCC) of around 0.35, compared with a typical MCC of around 0.20 using other beta-turn prediction methods. Our method also distinguishes the two most numerous and well-defined types of beta-turn, types I and II, with a significant level of accuracy (MCCs 0.22 and 0.26, respectively).     

Nonlinear biological batch process monitoring and fault identification based on kernel fisher discriminant analysis

A novel nonlinear biological batch process monitoring and fault identification approach based on kernel Fisher discriminant analysis (kernel FDA) is proposed. This method has a powerful ability to deal with nonlinear data and does not need to predict the future observations of variables. So it is more sensitive to fault detection. In order to improve the monitoring performance, variable trajectories of the batch processes are separated into several blocks. Then data in the original space is mapped into high-dimensional feature space via nonlinear kernel function and the optimal kernel Fisher feature vector and discriminant vector are extracted to perform process monitoring and fault identification. The key to the proposed approach is to calculate the distance of block data which are projected to the optimal kernel Fisher discriminant vector between new batch and reference batch. Through comparing distance with the predefined threshold, it can be considered whether the batch is normal or abnormal. Similar degree between the present discriminant vector and the optimal discriminant vector of fault in historical data set is used to perform fault diagnosis. The proposed method is applied to the process of fed-batch penicillin fermentation simulator benchmark and shows that it can effectively capture nonlinear relationships among process variables and is more efficient than MPCA approach.     

Proteins exported via the PrsD-PrsE type I secretion system and the acidic exopolysaccharide are involved in biofilm formation by Rhizobium leguminosarum

The type I protein secretion system of Rhizobium leguminosarum bv. viciae encoded by the prsD and prsE genes is responsible for secretion of the exopolysaccharide (EPS)-glycanases PlyA and PlyB. The formation of a ring of biofilm on the surface of the glass in shaken cultures by both the prsD and prsE secretion mutants was greatly affected. Confocal laser scanning microscopy analysis of green-fluorescent-protein-labeled bacteria showed that during growth in minimal medium, R. leguminosarum wild type developed microcolonies, which progress to a characteristic three-dimensional biofilm structure. However, the prsD and prsE secretion mutants were able to form only an immature biofilm structure. A mutant disrupted in the EPS-glycanase plyB gene showed altered timing of biofilm formation, and its structure was atypical. A mutation in an essential gene for EPS synthesis (pssA) or deletion of several other pss genes involved in EPS synthesis completely abolished the ability of R. leguminosarum to develop a biofilm. Extracellular complementation studies of mixed bacterial cultures confirmed the role of the EPS and the modulation of the biofilm structure by the PrsD-PrsE secreted proteins. Protein analysis identified several additional proteins secreted by the PrsD-PrsE secretion system, and N-terminal sequencing revealed peptides homologous to the N termini of proteins from the Rap family (Rhizobium adhering proteins), which could have roles in cellular adhesion in R. leguminosarum. We propose a model for R. leguminosarum in which synthesis of the EPS leads the formation of a biofilm and several PrsD-PrsE secreted proteins are involved in different aspects of biofilm maturation, such as modulation of the EPS length or mediating attachment between bacteria.     

Secretion and biological actions of insulin-like growth factor binding proteins in two human tumor-derived cell lines in vitro.

The insulin-like growth factors (IGFs) I and II are present in extracellular fluids associated with specific binding proteins (IGFBPs) that can modify their biologic actions. These studies were undertaken to determine which forms of IGFBP are secreted by endometrial carcinoma (HEC-1B) and breast carcinoma (MDA-231) cells, to characterize variables that control IGFBP secretion, and to study the effect of IGFBP-1 and IGFBP-2 on IGF-I stimulated cell proliferation. Secreted IGFBPs were identified by ligand blotting and IGFBP-1 was quantified using a specific radioimmunoassay (RIA). MDA-231 cell conditioned media (CM) contained four (43,000, 39,000, 30,000 and 24,000 Mr) forms of IGFBP, and HEC-1B cell CM contained three forms (39,000, 34,000 and 30,000 Mr). Immunoblotting showed that the 30,000 Mr form secreted by both cell types was IGFBP-1. Likewise the 34,000 Mr band in HEC-1B media reacted with IGFBP-2 antiserum and the 39,000 and 43,000 Mr bands reacted with IGFBP-3 antiserum. IGF-I stimulated the secretion of IGFBP-3 from both cell types and IGFBP-2 from HEC-1B cells but either decreased or caused no change in secretion of IGFBP-1 and a 24,000 Mr form. In contrast, insulin inhibited the secretion of IGFBP-1 but increased the secretion of the 24,000 Mr form. Compounds that elevate intracellular cAMP levels increased the secretion of IGFBP-3, IGFBP-1, and the 24,000 Mr form from both MDA-231 and HEC-1B cells. When sparse cultures of MDA-231 cells were used, addition of IGF-I caused a 24% increase in cell number after 48 hr. This mitogenic response was enhanced by the presence of recombinant human IGFBP-1 (45% increase in cell number, P less than 0.001). Bovine IGFBP-2 did not potentiate IGF-I stimulated cell proliferation. These findings show that two tumor cell lines secrete distinct forms of IGFBPs and that there is differential regulation of IGFBP secretion. At least one form secreted by both tumors may act as a positive autocrine modulator of IGF-I's growth stimulating actions.     

细菌三型分泌系统输出蛋白分泌信号研究进展

自提出三型分泌系统的概念以来,相关分子机制的研究让人们对其有了更深入的了解。与依赖信号肽分泌途径形成鲜明对比的是,蛋白通过细菌三型分泌系统分泌或者转运时没有可识别的保守信号序列。近期对三型分泌蛋白的研究发现了多种可以引导其分泌的分泌信号。本文分别介绍了细菌三型分泌系统的种类,分泌系统分泌蛋白的种类,并着重阐述了分泌信号的分子特性及其机制,以期为新型抗菌药物的研发提供新的思路。     

Prediction of clinical outcome with microarray data: a partial least squares discriminant analysis (PLS-DA) approach

Partial least squares discriminant analysis (PLS-DA) is a partial least squares regression of a set Y of binary variables describing the categories of a categorical variable on a set X of predictor variables. It is a compromise between the usual discriminant analysis and a discriminant analysis on the significant principal components of the predictor variables. This technique is specially suited to deal with a much larger number of predictors than observations and with multicollineality, two of the main problems encountered when analysing microarray expression data. We explore the performance of PLS-DA with published data from breast cancer (Perou et al. 2000). Several such analyses were carried out: (1) before vs after chemotherapy treatment, (2) estrogen receptor positive vs negative tumours, and (3) tumour classification. We found that the performance of PLS-DA was extremely satisfactory in all cases and that the discriminant cDNA clones often had a sound biological interpretation. We conclude that PLS-DA is a powerful yet simple tool for analysing microarray data.     

Protein contact prediction using patterns of correlation

We describe a new method for using neural networks to predict residue contact pairs in a protein. The main inputs to the neural network are a set of 25 measures of correlated mutation between all pairs of residues in two "windows" of size 5 centered on the residues of interest. While the individual pair-wise correlations are a relatively weak predictor of contact, by training the network on windows of correlation the accuracy of prediction is significantly improved. The neural network is trained on a set of 100 proteins and then tested on a disjoint set of 1033 proteins of known structure. An average predictive accuracy of 21.7% is obtained taking the best L/2 predictions for each protein, where L is the sequence length. Taking the best L/10 predictions gives an average accuracy of 30.7%. The predictor is also tested on a set of 59 proteins from the CASP5 experiment. The accuracy is found to be relatively consistent across different sequence lengths, but to vary widely according to the secondary structure. Predictive accuracy is also found to improve by using multiple sequence alignments containing many sequences to calculate the correlations.     

The extreme C-terminus is required for secretion of both the native polygalacturonase (PehA) and PehA-Bla hybrid proteins in Erwinia carotovora subsp. carotovora

A set of gene fusions was constructed between the pehA gene encoding the secreted endopolygalacturonase (PehA) and the bla gene coding for a normally periplasmic β-lactamase (Bla). The resulting hybrid proteins were specifically and actively routed out of the cells via the Out-terminal branch of the general secretory pathway (GSP) in Erwinia carotovora subsp. carotovora (Ecc) , provided that no more than the last two amino acids (aa) of the PehA domain were excluded from the fusion. However, both PehA-Bla hybrid proteins and PehA variants lacking at least four aa from the C-terminus of the PehA accumulated in the periplasm. Also, overexpression of the gene fusions prevented extracellular targeting of the hybrid proteins. Site-directed mutagenesis of the codons −4 and −3 (encoding Asn-373 and Val-374, respectively) from the end of the pehA gene and analysis of the protein products suggested that the Val-374 was important both for the structure and secretion of PehA, while the Asn-373 proved to be insignificant. We conclude that: (i) the GSP of Ecc is capable of secreting heterologous proteins; (ii) as the PehA protein can accommodate C-terminal extensions, secretion can occur with no part of the proposed targeting signal lying within the C-terminal extremity of a secreted molecule; and (iii) residues within the C-terminus of PehA play a role in secretion, possibly through stabilization of a structure needed for proper exposition of the proposed targeting motif.