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Ekaterina M Panina

Publications and source records attributed to Ekaterina M Panina.

4 recordsLinked to original sources

A genome-wide screen identifies a Bordetella type III secretion effector and candidate effectors in other species.

Bordetella bronchiseptica utilizes a type III secretion system (TTSS) for induction of non-apoptotic cytotoxicity in host cells and modulation of host immunity. The identity of Bordetella TTSS effectors, however, has remained elusive. Here we report a genome-wide screen for TTSS effectors based on shared biophysical and functional characteristics of class I chaperones and their frequent colocalization with TTSS effectors. When applied to B. bronchiseptica, the screen identified the first TTSS chaperone-effector locus, btcA-bteA, and we experimentally confirmed its function. Expression of bteA is co-ordinated with expression of TTSS apparatus genes, BteA is secreted through the TTSS of B. bronchiseptica, it is required for cytotoxicity towards mammalian cells, and it is highly conserved in the human-adapted subspecies B. pertussis and B. parapertussis. Transfection of bteA into epithlieal cells results in rapid cell death, indicating that BteA alone is sufficient to induce potent cytotoxicity. Finally, an in vitro interaction between BteA and BtcA was demonstrated. The search for TTSS chaperones and effectors was then expanded to other bacterial genomes, including mammalian and insect pathogens, where we identified a large number of novel candidate chaperones and effectors. Although the majority of putative effectors are proteins of unknown function, several have similarities to eukaryotic protein domains or previously identified effectors from other species.

Bacterial Proteins↗

PFIT and PFRIT: bioinformatic algorithms for detecting glycosidase function from structure and sequence.

The identification of the enzymes involved in the metabolism of simple and complex carbohydrates presents one bioinformatic challenge in the post-genomic era. Here, we present the PFIT and PFRIT algorithms for identifying those proteins adopting the alpha/beta barrel fold that function as glycosidases. These algorithms are based on the observation that proteins adopting the alpha/beta barrel fold share positions in their tertiary structures having equivalent sets of atomic interactions. These are conserved tertiary interaction positions, which have been implicated in both structure and function. Glycosidases adopting the alpha/beta barrel fold share more conserved tertiary interactions than alpha/beta barrel proteins having other functions. The enrichment pattern of conserved tertiary interactions in the glycosidases is the information that PFIT and PFRIT use to predict whether any given alpha/beta barrel will function as a glycosidase or not. Using as a test set a database of 19 glycosidase and 45 nonglycosidase alpha/beta barrel proteins with low sequence similarity, PFIT and PFRIT can correctly predict glycosidase function for 84% of the proteins known to function as glycosidases. PFIT and PFRIT incorrectly predict glycosidase function for 25% of the nonglycosidases. The program PSI-BLAST can also correctly identify 84% of the 19 glycosidases, however, it incorrectly predicts glycosidase function for 50% of the nonglycosidases (twofold greater than PFIT and PFRIT). Overall, we demonstrate that the structure-based PFIT and PFRIT algorithms are both more selective and sensitive for predicting glycosidase function than the sequence-based PSI-BLAST algorithm.

Algorithms↗

Comparative genomics of bacterial zinc regulons: enhanced ion transport, pathogenesis, and rearrangement of ribosomal proteins.

Zinc is an important component of many proteins, but in large concentrations it is poisonous to the cell. Thus its transport is regulated by zinc repressors ZUR of proteobacteria and Gram-positive bacteria from the Bacillus group and AdcR of bacteria from the Streptococcus group. Comparative computational analysis allowed us to identify binding signals of ZUR repressors GAAATGTTATANTATAACATTTC for gamma-proteobacteria, GTAATGTAATAACATTAC for the Agrobacterium group, GATATGTTATAACATATC for the Rhododoccus group, TAAATCGTAATNATTACGATTTA for Gram-positive bacteria, and TTAACYRGTTAA of the streptococcal AdcR repressor. In addition to known transporters and their paralogs, zinc regulons were predicted to contain a candidate component of the ATP binding cassette, zinT (b1995 in Escherichia coli and yrpE in Bacillus subtilis). Candidate AdcR-binding sites were identified upstream of genes encoding pneumococcal histidine triad (PHT) proteins from a number of pathogenic streptococci. Protein functional analysis of this family suggests that PHT proteins are involved in the invasion process. Finally, repression by zinc was predicted for genes encoding a variety of paralogs of ribosomal proteins. The original copies of all these proteins contain zinc-ribbon motifs and thus likely bind zinc, whereas these motifs are destroyed in zinc-regulated paralogs. We suggest that the induction of these paralogs in conditions of zinc starvation leads to their incorporation in a fraction of ribosomes instead of the original ribosomal proteins; the latter are then degraded with subsequent release of some zinc for the utilization by other proteins. Thus we predict a mechanism for maintaining zinc availability for essential enzymes.

Adhesins, Bacterial↗

Regulation of biosynthesis and transport of aromatic amino acids in low-GC Gram-positive bacteria.

Computational comparative techniques were applied to analysis of the aromatic amino acid regulon in Gram-positive bacteria. A new candidate transcription regulation signal of 3-deoxy-D-arabino-heptulosonate-7-phosphate synthase and shikimate kinase genes was identified in Streptococcus and Lactococcus species. New T-boxes were found upstream of aromatic amino acid biosynthesis and transport genes in the Bacillus/Clostridium group. The substrate specificity of proteins from the PabA/TrpG family was assigned based on metabolic reconstruction and analysis of regulatory signals and phylogenetic patterns. New candidate tryptophan transporters were identified; their specificity was predicted by analysis of T-box regulatory sites. Comparison of all available genomes shows that regulation of genes of the aromatic amino acid biosynthesis pathway is quite labile and involves at least four regulatory systems, two at the DNA level and two more involving competition of alternative RNA secondary structures for transcription and/or translation regulation at the RNA level.

3-Deoxy-7-Phosphoheptulonate Synthase↗