The signal peptide (SP) of integrated membrane proteins is removed cotranslationally or posttranslationally in the endoplasmic reticulum, while GP64, a membrane fusion protein of Bombyx mori nucleopolyhedrovirus (BmNPV), retains its SP in the mature protein and virion. In this study, we revealed that uncleaved SP is a key determinant with additional functions in infection. First, uncleaved SP endows BmNPV with strong virulence; second, SP retention-induced BmNPV infection depends on cholesterol recognition amino acid consensus domain 1 (CRAC1) and CRAC2. In contrast, the recombinant virus with SP-cleaved GP64 has reduced infectivity, and only CRAC2 is required for BmNPV infection. Furthermore, we showed that cholesterol in the plasma membrane is an important fusion receptor that interacts with CRAC2 of GP64. Our study suggested that BmNPV GP64 is a key cholesterol-binding protein and uncleaved SP determines GP64\'s unique dependence on the CRAC domains. IMPORTANCE BmNPV is a severe pathogen that mainly infects silkworms. GP64 is the key membrane fusion protein that mediates BmNPV infection, and some studies have indicated that cholesterol and lipids are involved in BmNPV infection. A remarkable difference from other membrane fusion proteins is that BmNPV GP64 retains its SP in the mature protein, but the cause is still unclear. In this study, we investigated the reason why BmNPV retains this SP, and its effects on protein targeting, virulence, and CRAC dependence were revealed by comparison of recombinant viruses harboring SP-cleaved or uncleaved GP64. Our study provides a basis for understanding the dependence of BmNPV infection on cholesterol/lipids and host specificity.

The possibility of enhancing the immunogenicity of the rabies virus glycoprotein antigen encoded by a DNA vaccine has been investigated. Ubiquitin-like protein FAT10 has been attached to the N-terminus of the glycoprotein to target it to the proteasome and stimulate its presentation by MHC class I. Two forms of the protein, chimeric and original, have been detected in cells transfected with the DNA construct encoding the chimeric protein. The presence of the glycoprotein on the cell surface has been detected by immunostaining of transfected cells. The production of IgG and IgG2a antibodies has been more efficiently induced in mice immunized with the plasmid that encodes the chimeric protein than in those immunized with the plas-mid that encodes unmodified glycoprotein. Moreover, the level of IgG2a antibodies exceeded the level of IgG1 antibodies, which indicates a preferential increase in the Th1 component of the immune response. The proposed DNA construct that encodes a modified glycoprotein with a proteasome degradation signal maybe a promising DNA vaccine immunogen for post-exposure prophylaxis of rabies.

Safe and effective anti-rabies vaccines are intensely sought worldwide. DNA vaccines have already shown their efficacy and safety and have occupied a special place in the field. Two prototype anti-rabies DNA vaccines were compared for the potential to induce virus-specific antibody production. One vector contained a codon-optimized gene with a territory-adapted consensus sequence of the rabies virus glycoprotein. The other one expressed the same glycoprotein in fusion with a c-CD63 lysosome targeting motif at the C terminus. ELISA of serum samples from immunized mice showed that the c-CD63 variant induced more efficient antibody production and shifted the IgG2a/IgG1 ratio towards the Th2-type immune response. The results gave grounds to believe that the approach successfully applied to the rabies glycoprotein may help to develop new-generation anti-rabies vaccines.

The peroxisomal targeting signal type 1 (PTS1) is a seemingly simple peptide sequence at the C-terminal end of most peroxisomal matrix proteins. PTS1 can be described as a tripeptide with the consensus motif [S/A/C] [K/R/H] L. However, this description is neither necessary nor sufficient. It does not cover all cases of PTS1 proteins, and some proteins in accordance with this consensus do not target to the peroxisome. In order to find new PTS proteins in yeast and to arrive at a more complete description of the PTS1 consensus motif, we developed a machine learning approach that involves orthologue expansion of the set of known peroxisomal proteins. We performed a genome-wide in silico screen, characterised several PTS1-containing peptides and identified two new peroxisomal matrix proteins, which we named Pxp1 (Yel020c) and Pxp2 (Yjr111c). Based on these in silico and in vivo analyses, we revised the yeast PTS1 consensus which now includes all known PTS1 proteins.

TOPCONS (http://topcons.net/) is a widely used web server for consensus prediction of membrane protein topology. We hereby present a major update to the server, with some substantial improvements, including the following: (i) TOPCONS can now efficiently separate signal peptides from transmembrane regions. (ii) The server can now differentiate more successfully between globular and membrane proteins. (iii) The server now is even slightly faster, although a much larger database is used to generate the multiple sequence alignments. For most proteins, the final prediction is produced in a matter of seconds. (iv) The user-friendly interface is retained, with the additional feature of submitting batch files and accessing the server programmatically using standard interfaces, making it thus ideal for proteome-wide analyses. Indicatively, the user can now scan the entire human proteome in a few days. (v) For proteins with homology to a known 3D structure, the homology-inferred topology is also displayed. (vi) Finally, the combination of methods currently implemented achieves an overall increase in performance by 4% as compared to the currently available best-scoring methods and TOPCONS is the only method that can identify signal peptides and still maintain a state-of-the-art performance in topology predictions.

A novel method is introduced for producing molecular markers in plants using single 15- to 18-mer PCR primers designed from the short conserved consensus branch point signal sequences and standard agarose gel electrophoresis. This method was tested on cultivated peanut and verified to give good fingerprinting results in other plant species (mango, banana, and longan). These single primers, designed from relatively conserved branch point signal sequences within gene introns, should be universal across other plant species. The method is rapid, simple, and efficient, and it requires no sequence information of the plant genome of interest. It could be used in conjunction with, or as a substitute for, conventional RAPD or ISSR techniques for applications including genetic diversity analysis, phylogenetic tree construction, and quantitative trait locus mapping. This technique provides a new way to develop molecular markers for assessing genetic diversity of germplasm in diverse species based on conserved branch point signal sequences.

OBJECTIVE: To predict the exported proteins of the novel bacterium Phenylobacterium zucineum HLK1(T) using genome-wide computational identification by searching the export signals including N-terminal signal peptides and alpha-transmembrane helices.
METHODS: The computational identification of signal sequences was based on a consensus between multiple predictive tools, including SignalP V3.0, LipoP V1.0, Phobius and TMHMM 2.0. Type IV signal peptides and proteins exported via TAT machinery were searched manually based on the conservative motifs. All the predicted proteins were classified according to the Cluster of Orthologous Group (COG) standard.
RESULTS: In the total 3861 proteins encoded by P. zucineum HLK1(T) 1 378 (35.7%) were predicted to be exported proteins, most of which (totally 735, 19.0% of the proteome and 53.3% of all the exported proteins) were uncleavable transmembrane helices. In addition, 499 type I signal peptides (12.9%, 36.2%), 101 lipoproteins (2.6%, 7.3%) were also identified. Four Type IV signal peptides and 12 TAT proteins were detected as well. According to the COG classification standard, most of these exported proteins were P proteins related to inorganic ion transport and metabolism and S proteins whose functions were unknown.
CONCLUSIONS: The genome of HLK1(T) coded various types of exported proteins which may play an important role in the interaction between P. zucineum and the host cell, and facilitate the strain to invade into the cell.

Membrane organization describes the relationship of proteins to the membrane, that is, whether the protein crosses the membrane or is integral to the membrane and its orientation with respect to the membrane. Membrane organization is determined primarily by the presence of two features which target proteins to the secretory pathway: the endoplasmic reticulum signal peptide and the ?-helical transmembrane domain. In order to generate membrane organization annotation of high quality, confidence and throughput, the Membrane Organization (MemO) pipeline was developed, incorporating consensus feature prediction modules with integration and annotation rules derived from biological observations. The pipeline classifies proteins into six categories based on the presence or absence of predicted features: Soluble, intracellular proteins; Soluble, secreted proteins; Type I membrane proteins; Type II membrane proteins; Multi-span membrane proteins and Glycosylphosphatidylinositol anchored membrane proteins. The MemO pipeline represents an integrated strategy for the application of state-of-the-art bioinformatics tools to the annotation of protein membrane organization, a property which adds biological context to the large quantities of protein sequence information available.

The availability of complete bacterial genome sequences allows proteome-wide predictions of exported proteins that are potentially retained in the cytoplasmic membranes of the corresponding organisms. In practice, however, major problems are encountered with the computer-assisted distinction between (Sec-type) signal peptides that direct exported proteins into the growth medium and lipoprotein signal peptides or amino-terminal membrane anchors that cause protein retention in the membrane. In the present studies, which were aimed at improving methods to predict protein retention in the bacterial cytoplasmic membrane, we have compared sets of membrane-attached and extracellular proteins of Bacillus subtilis that were recently identified through proteomics approaches. The results showed that three classes of membrane-attached proteins can be distinguished. Two classes include 43 lipoproteins and 48 proteins with an amino-terminal transmembrane segment, respectively. Remarkably, a third class includes 31 proteins that remain membrane-retained despite the presence of typical Sec-type signal peptides with consensus signal peptidase recognition sites. This unprecedented finding indicates that unknown mechanisms are involved in membrane retention of this class of proteins. A further novelty is a consensus sequence indicative for release of certain lipoproteins from the membrane by proteolytic shaving. Finally, using non-overlapping sets of secreted and membrane-retained proteins, the accuracy of different signal peptide prediction algorithms was assessed. Accuracy for the prediction of protein retention in the membrane was increased to 82% using a majority-vote approach. Our findings provide important leads for future identification of surface proteins from pathogenic bacteria, which are attractive candidate infection markers and potential targets for drugs or vaccines.

The Gram-negative pathogen Pseudomonas aeruginosa encodes multiple protein export systems, the substrates of which contain export signals such as N-terminal signal peptides. Here we report the first genome-wide computational and laboratory screen for N-terminal signal peptides in this important opportunistic pathogen. The computational identification of signal peptides was based on a consensus between multiple predictive tools and showed that 38% of the P. aeruginosa PAO1 proteome was predicted to encode exported proteins, most of which utilize cleavable type I signal peptides or uncleavable transmembrane helices. In addition, known and novel lipoproteins (type II), twin arginine transporter (TAT), and prepilin peptidase substrates (type IV) were also identified. A laboratory-based screen using the alkaline phosphatase (PhoA) fusion method was then used to test our predictions. In total, 310 nonredundant PhoA fusions were successfully identified, 296 of which possess a predicted export signal. Analysis of the PhoA fusion proteins lacking an export signal revealed that three proteins have alternate translation start sites that encode signal peptides, two proteins may use an unknown export signal, and the remaining nine proteins are likely cytoplasmic proteins and represent false positives associated with the PhoA screen. Our approach to identify exported proteins illustrates how computational and laboratory-based methods are complementary, where computational analyses provide a large number of accurate predictions while laboratory methods both confirm predictions and reveal unique cases meriting further analysis.