Biology subjects

Dunstan, R. A.

Publications and source records attributed to Dunstan, R. A..

4 recordsLinked to original sources

bioRxiv2022

Helicobacter pylori vacuolating cytotoxin A exploits human endosomes for intracellular activation

Helicobacter pylori infection is the main cause of gastric cancer. Vacuolating cytotoxin A (VacA) is a H. pylori pore-forming toxin and a key determinant of gastric cancer risk. VacA is secreted as an 88-kDa polypeptide (p88) that upon interaction with host cells induces cytotoxic effects, including cell vacuolation and mitochondrial dysfunction. These effects are currently believed to be due to VacA p88 accumulating inside host cells and forming oligomeric anion-specific channels in membranes of intracellular compartments. However, the molecular nature of intracellular VacA channels in host cells remains undefined. Here we show that VacA p88 does not accumulate inside human epithelial cells, but instead is rapidly processed in endosomes into smaller p31/p28 and p37 products in a manner that precedes VacA-induced vacuolation. VacA processing requires endosomal acidification and concerted cleavage by multiple endo-lysosomal proteases including cathepsins. In situ structural mapping reveals that upon processing, the toxins central hydrophilic linker and globular C-terminus are excised, whereas oligomerization determinants are retained. Congruently, the processed products are constituents of a high-molecular-weight complex inside the host cell [boxh] which we propose is the intracellular, mature and active VacA pore. These findings suggest that VacA exploits human endosomes for proteolytic processing and intracellular activation. Significance StatementHelicobacter pylori is a cancer-causing bacterium that infects the stomach of billions of people worldwide. Vacuolating cytotoxin A (VacA) is an important H. pylori virulence factor and its activity directly correlates with gastric carcinogenesis. Yet despite decades of intense research, the mechanisms underlying VacA activity in human cells remain incompletely understood. Here, we present evidence suggesting that VacA is activated inside human cells by multi-step proteolytic processing involving endo-lysosomal proteases including cathepsins. We also track and identify the functional processed VacA isoforms in host cells. These results revolutionize our understanding of the mechanism of VacA activation in human cells, whilst expanding our knowledge of the diversity of microbial virulence factors that exploit human endo-lysosomes for pathogenesis.

molecular biology↗

bioRxiv2021

Discovery of a conserved rule behind the assembly of β-barrel membrane proteins.

Outer membrane proteins (OMPs) are essential components of the outer membrane of Gram-negative bacteria. In terms of protein targeting and assembly, the current dogma holds that a "{beta}-signal" imprinted in the final {beta}-strand of the OMP engages the {beta}-barrel assembly machinery (BAM complex) to initiate membrane insertion and assembly of the OMP into the outer membrane. Here, we revealed an additional rule, that signals equivalent to the {beta}-signal are repeated in other, internal {beta}-strands within bacterial OMPs, by peptidomimetic and mutational analysis. The internal signal is needed to promote the efficiency of the assembly reaction of these OMPs. BamD, an essential subunit of the BAM complex, recognizes the internal signal and the {beta}-signal, arranging several {beta}-strands and partial folding for rapid OMP assembly. The internal signal-BamD ordering system is not essential for bacterial viability but is necessary to retain the integrity of the outer membrane against antibiotics and other environmental insults. TEASERBacterial outer membrane proteins are recognized and bound by BamD at specific signals located in multiple {beta}-strands at the C-terminus of these proteins.

biochemistry↗

bioRxiv2021

The component parts of bacteriophage virions accurately defined by a machine-learning approach built on evolutionary features.

Antimicrobial resistance (AMR) continues to evolve as a major threat to human health and new strategies are required for the treatment of AMR infections. Bacteriophages (phages) that kill bacterial pathogens are being identified for use in phage therapies, with the intention to apply these bactericidal viruses directly into the infection sites in bespoke phage cocktails. Despite the great unsampled phage diversity for this purpose, an issue hampering the roll out of phage therapy is the poor quality annotation of many of the phage genomes, particularly for those from infrequently sampled environmental sources. We developed a computational tool called STEP3 to use the "evolutionary features" that can be recognized in genome sequences of diverse phages. These features, when integrated into an ensemble framework, achieved a stable and robust prediction performance when benchmarked against other prediction tools using phages from diverse sources. Validation of the prediction accuracy of STEP3 was conducted with high-resolution mass spectrometry analysis of two novel phages, isolated from a watercourse in the Southern Hemisphere. STEP3 provides a robust computational approach to distinguish specific and universal features in phages to improve the quality of phage cocktails, and is available for use at http://step3.erc.monash.edu/. IMPORTANCEIn response to the global problem of antimicrobial resistance there are moves to use bacteriophages (phages) as therapeutic agents. Selecting which phages will be effective therapeutics relies on interpreting features contributing to shelf-life and applicability to diagnosed infections. However, the protein components of the phage virions that dictate these properties vary so much in sequence that best estimates suggest failure to recognize up to 90% of them. We have utilised this diversity in evolutionary features as an advantage, to apply machine learning for prediction accuracy for diverse components in phage virions. We benchmark this new tool showing the accurate recognition and evaluation of phage components parts using genome sequence data of phages from under-sampled environments, where the richest diversity of phage still lies.

microbiology↗

bioRxiv2020

BonA from Acinetobacter baumannii forms a divisome-localized decamer that supports outer envelope function

Acinetobacter baumannii is a high-risk pathogen due to the rapid global spread of multi-drug resistant lineages. Its phylogenetic divergence from other ESKAPE pathogens means that determinants of its antimicrobial resistance can be difficult to extrapolate from other widely studied bacteria. A recent study showed that A. baumannii upregulates production of an outer-membrane lipoprotein, which we designate BonA, in response to challenge with polymyxins. Here we show that BonA has limited sequence similarity and distinct structural features compared to lipoproteins from other bacterial species. Analyses through X-ray crystallography, small-angle X-ray scattering, electron microscopy, and multiangle light scattering demonstrate that BonA has a dual BON-domain architecture and forms a decamer via an unusual oligomerization mechanism. This analysis also indicates this decamer is transient, suggesting dynamic oligomerization plays a role in BonA function. Antisera recognizing BonA shows it is an outer membrane protein localized to the divisome. Loss of BonA modulates the density of the outer membrane, consistent with a change in its structure or link to the peptidoglycan, and prevents motility in a clinical strain (ATCC 17978). Consistent with these findings, the dimensions of the BonA decamer are sufficient to permeate the peptidoglycan layer, with the potential to form a membrane-spanning complex during cell division.

biochemistry↗