Biology subjects

Hart, A. J.

Publications and source records attributed to Hart, A. J..

7 recordsLinked to original sources

bioRxiv2026

CAZyme Annotation of Five Parasitic Trichomonads Reveals a Conserved Repertoire of Host Glycan Targeting Proteins

Deciphering the functional potential of the unusually large and repetitive genomes of trichomonads has remained challenging since the first Trichomonas vaginalis genome assembly in 2007. These genomes are characterised by extensive gene duplication, widespread lateral gene transfer from prokaryotes, and numerous hypothetical proteins. Here, we systematically re-annotated five parasitic trichomonad genomes using the CAZy annotation pipeline, identifying 1,406 CAZyme-encoding genes (which encompass all four core CAZyme classes and carbohydrate-binding modules (CBMs)) - including 516 genes previously annotated as encoding hypothetical proteins - and generating predictions of CAZy genes originating from potential lateral gene transfer, encoding candidate secreted proteins, and their candidate metabolic pathway involvement. Comparative analyses revealed a conserved, highly duplicated repertoire of candidate mucin O-glycan-targeting CAZymes across all five species, alongside broad conservation of a candidate antibacterial CAZyme toolkit. Together, these findings substantially enrich functional annotation of these genomes and highlight in particular CAZymes and CBMs as promising targets for the future characterisation of the molecular and cellular basis of parasite-host and parasite-microbiota interactions underlying mucosal disease and dysbiosis associated with trichomonads.

evolutionary biology↗

bioRxiv2025

BtuJ1, a novel surface-exposed B12-binding protein in Bacteroidetes, functions as an extracellular vitamin reservoir that enhances fitness.

The acquisition of vitamin B12 and related cobamides is a key determinant for the fitness of Bacteroidetes in the gut. Depending on the species, this uptake process relies on one to four transport systems centered on conserved core outer membrane (OM) complexes composed of the TonB-dependent transporter BtuB and the surface-exposed lipoprotein BtuG. Additionally, the surface-exposed lipoprotein BtuH, although not tightly associated with the BtuBG complex, contributes to cobamide uptake and provides a fitness advantage. Here, we report the functional and structural characterization of BtuJ1 from Bacteroides thetaiotaomicron (B. theta), a novel B12-binding lipoprotein. Under limiting B12 conditions, BtuJ1 is the most abundant component among the three B12-transport systems encoded by B. theta. BtuJ1 is surface exposed and binds vitamin B12 and cobinamide (an intermediate in B12 biosynthesis) with low nM affinity, conferring a fitness advantage in B12-limited environments. In vitro B12 transfer experiments suggest a role for BtuJ1 as an extracellular reservoir for B12, expanding the functionalities of the diverse group of accessory OM proteins employed by Bacteroides to scavenge this essential cofactor in the competitive environment of the human gut. IMPORTANCEUnderstanding how key molecules support bacterial colonization of the human GI tract is essential to rationalize the structure of the complex microbial community inhabiting the distal gut. The Bacteroidetes are one of the dominant phyla in this environment. Given that most Bacteroidetes cannot make vitamin B12 but depend on it for growth, the fitness of many species likely depends on the acquisition of vitamin B12. Unlike the classical model bacterium Escherichia coli, which encodes a single OM B12 transporter, the genomes of Bacteroidetes often encode multiple uptake systems comprising a heterogeneous repertoire of surface-exposed lipoproteins. These proteins may assist OM assemblies for vitamin B12 transport that provide fitness advantages in vivo.

microbiology↗

bioRxiv2025

An evolutionarily conserved laterally acquired toolkit enables microbiota targeting by Trichomonas

Trichomonas species are a diverse group of obligate extracellular symbionts associated with or attributed to various inflammatory diseases. They colonise mucosal surfaces across a wide range of hosts, all of which harbour a resident microbiota. Their evolutionary history likely involved multiple host transfers, including zoonotic events from columbiform birds to mammals. Using comparative transcriptomics, this study examines Trichomonas gallinae co-cultured with Escherichia coli, identifying a molecular toolkit that Trichomonas species may use to interact with bacterial members of the microbiota. Integrating transcriptomic data with comparative genomics and phylogenetics revealed a conserved repertoire of protein-coding genes likely acquired through multiple lateral gene transfers (LGT) in a columbiform-infecting ancestor. These LGT-derived genes encode muramidases, glucosaminidases, and antimicrobial peptides--enzymes and effectors capable of targeting bacterial cell walls, potentially affecting the bacterial microbiota composition across both avian and mammalian hosts. This molecular toolkit suggests that Trichomonas species can actively compete with and exploit their surrounding microbiota for nutrients, potentially contributing to the dysbiosis associated with Trichomonas infections. Their ability to target bacterial populations at mucosal surfaces provides insight into how Trichomonas species may have adapted to diverse hosts and how they could influence inflammatory mucosal diseases in birds and mammals.

molecular biology↗

bioRxiv2025

Discovery of a distinct BAM complex in the Bacteroidetes

The BAM ({beta}-barrel assembly machinery) complex is an evolutionarily conserved, multiprotein machine that catalyses the folding and membrane insertion of newly synthesised {beta}-barrel outer membrane (OM) proteins in Gram-negative bacteria. Based on Proteobacteria, bacterial BAM is also structurally conserved, with an essential BamAD core and up to three auxiliary periplasmic lipoproteins of poorly defined function. Here we show, using structural biology, quantitative proteomics and functional assays, that the BAM complex is radically different within the Bacteroidetes, a large and important phylum widely distributed within the environment and animal microbiomes. Cryogenic electron microscopy (cryo-EM) structures of BAM complexes from the human gut symbiont Bacteroides thetaiotaomicron and the human oral pathogen Porphyromonas gingivalis show similar, seven-component complexes of [~]325 kDa in size with most of the mass in the extracellular space. In addition to canonical BamA and BamD, the complexes contain an integral OM protein named BamF that is essential and intimately associated with BamA, as well as four surface-exposed lipoproteins (SLPs) named BamG-J. Together, BamF-J form a large, extracellular dome that likely serves as an assembly cage for the {beta}-barrel-SLP complexes that are a hallmark of the Bacteroidetes. Our data suggest that BAM functionality in Bacteroidetes is substantially expanded from that in Proteobacteria and underscores the importance of studying other phyla for a more complete understanding of fundamental biological processes.

microbiology↗

bioRxiv2023

Systematic Analysis of Network-driven Adaptive Resistance to CDK4/6 and Estrogen Receptor Inhibition using Meta-Dynamic Network Modelling

Drug resistance inevitably emerges during the treatment of cancer by targeted therapy. Adaptive resistance is a major form of drug resistance, wherein the rewiring of protein signalling networks in response to drug perturbation allows drug-targeted protein activity to recover. This can occur in the continuous presence of the drug and enables cells to survive/grow. Simultaneously, molecular heterogeneity enables the selection of drug-resistant cancer clones that can survive an initial drug insult, proliferate, and eventually cause disease relapse. Despite their importance, the link between heterogeneity and adaptive resistance, specifically how heterogeneity influences protein signalling dynamics to drive adaptive resistance, remains poorly understood. Here, we have explored the relationship between heterogeneity, protein signalling dynamics and adaptive resistance through the development of a novel modelling technique coined Meta Dynamic Network (MDN) modelling. We use MDN modelling to characterise how heterogeneity influences the drug-response signalling dynamics of the proteins that regulate early cell cycle progression and demonstrate that heterogeneity can robustly facilitate adaptive resistance associated dynamics for key cell cycle regulators. We determined the influence of heterogeneity at the level of both reaction coefficients and protein abundance and show that reaction coefficients are a much stronger driver of adaptive resistance. Owing to the mechanistic nature of the underpinning ODE framework, we then identified a full spectrum of subnetworks capable of driving adaptive resistance dynamics in the key early cell cycle regulators. Finally, we show that single-cell dynamic data supports the validity of our MDN modelling technique and a comparison between our predicted resistance mechanisms and known CDK4/6 and Estrogen Receptor inhibitor resistance mechanisms suggests MDN can be deployed to robustly predict network-level resistance mechanisms for novel drugs and additional protein signalling networks.

molecular biology↗

bioRxiv2021

Dynamic Phosphorylation of RGS Provides Spatial Regulation of G-alpha And Promotes Completion of Cytokinesis

Yeast use a G-protein coupled receptor (GPCR) signaling pathway to detect mating pheromone, arrest in G1, and direct polarized growth towards the potential mating partner. The primary negative regulator of this pathway is the regulator of G-protein signaling (RGS), Sst2, which induces G GTPase activity and subsequent inactivation of all downstream signaling including a MAPK cascade. The MAPK Fus3 phosphorylates the RGS in response to pheromone, but the role of this modification is unknown. We set out to examine the role of RGS phosphorylation during the pheromone response. We found that RGS phosphorylation peaks early in the pheromone response and diminishes RGS localization to the polarity site and focuses MAPK complexes there. At later time points, RGS is predominantly unphosphorylated, which promotes RGS localization to the polar cap and broadens the distribution of MAPK complexes relative to the Cdc42 polarity machinery. Surprisingly, we found that phosphorylation of the RGS is required for the completion of cytokinesis prior to pheromone induced growth. The completion of cytokinesis in the presence of pheromone is promoted by the formin Bnr1 and the kelch-repeat protein, Kel1, both proteins previously found to interact with the RGS.

cell biology↗

bioRxiv2018

EnTAP: Bringing Faster and Smarter Functional Annotation to Non-Model Eukaryotic Transcriptomes

EnTAP (Eukaryotic Non-Model Transcriptome Annotation Pipeline) was designed to improve the accuracy, speed, and flexibility of functional gene annotation for de novo assembled transcriptomes in non-model eukaryotes. This software package addresses the fragmentation and related assembly issues that result in inflated transcript estimates and poor annotation rates, while focusing primarily on protein-coding transcripts. Following filters applied through assessment of true expression and frame selection, open-source tools are leveraged to functionally annotate the translated proteins. Downstream features include fast similarity search across three repositories, protein domain assignment, orthologous gene family assessment, and Gene Ontology term assignment. The final annotation integrates across multiple databases and selects an optimal assignment from a combination of weighted metrics describing similarity search score, taxonomic relationship, and informativeness. Researchers have the option to include additional filters to identify and remove contaminants, identify associated pathways, and prepare the transcripts for enrichment analysis. This fully featured pipeline is easy to install, configure, and runs significantly faster than comparable annotation packages. EnTAP is optimized to generate extensive functional information for the gene space of organisms with limited or poorly characterized genomic resources.

bioinformatics↗