Biology subjects

Abraham, R.

Publications and source records attributed to Abraham, R..

12 recordsLinked to original sources

bioRxiv2025

Analyzing the role of a dual-function diguanylate cyclase/phosphodiesterase for attachment and motility in Agrobacterium tumefaciens

Cyclic diguanylate monophosphate (c-di-GMP) is a second messenger that controls the signaling pathway for the motile to sessile transition in many bacteria. Diguanylate cyclases (DGCs), characterized by a GGDEF domain, are responsible for the synthesis of c-di-GMP. c-di-GMP is degraded by EAL and HD-GYP domains that exhibit phosphodiesterase activity (PDE). In Agrobacterium tumefaciens, out of 31 predicted proteins regulating the c-di-GMP levels, this work focuses on the predicted dual-function DGC/PDE, DcpB. We show that DcpB is a cycle-dependent PDE under our experimental conditions, resulting in cell cycle-dependent control of motility and biofilm formation in A. tumefaciens. DcpB also exhibits polar and mid-cell localization. Finally, we identify genetic interactions between dcpB and a LacI-family transcriptional regulators, thuR, suggesting additional regulatory inputs for DcpB-dependent phenotypes. Importancec-di-GMP is a universal secondary messenger known to control various biological processes in bacteria including attachment, motility, virulence, and cell cycle progression. In A. tumefaciens, there are 31 predicted c-di-GMP-metabolizing proteins predicted to affect the c-di-GMP pool, raising the question of why so many proteins are involved and how the activities of these proteins are coordinated. This work describes a cell cycle-dependent PDE activity that helps coordinate cell cycle progression and developmental phenotypes including biofilm formation and motility.

microbiology↗

bioRxiv2024

Decreasing ZAP Poly(ADP-ribose) Binding Enhances Antiviral Activity Against Alphaviruses

Zinc finger antiviral protein (ZAP), also known as PARP13, is an antiviral factor effective against several virus families. ZAP contains three major protein domains: N-terminal zinc fingers, central WWE domains, and a C-terminal inactive ADP-ribosyltransferase domain, which is present only in the longer isoform ZAPL. While both the zinc finger and ADP-ribosyltransferase domains inhibit viral replication, the role of the WWE domains remains unclear. WWE domains bind poly(ADP-ribose) (PAR). In this study, we focus on ZAPS, the shorter isoform comprised of the minimal unit that confers antiviral activity and lacking the ADP-ribosyltransferase domain, to investigate how PAR-binding contributes to antiviral defense against alphaviruses. We identified the Y659 residue on the second WWE domain as essential for PAR-binding both in vitro and in cells. When infected with Chikungunya or Sindbis virus, cells with the Y659A mutant of ZAPS had reduced formation of replication complexes, decreased levels of viral genomic and subgenomic transcripts, and fewer infectious virions released compared to cells with the unmutated ZAPS, suggesting enhanced antiviral activity of the PAR-binding mutant. These findings suggest that inhibiting PAR-binding in ZAPS could potentiate host antiviral functions, offering a novel therapeutic strategy against alphavirus infections.

microbiology↗

bioRxiv2024

Interferon-Induced PARP14-Mediated ADP-Ribosylation in p62 Bodies Requires an Active Ubiquitin-Proteasome System

Biomolecular condensates are cellular compartments without enveloping membranes, enabling them to dynamically adjust their composition in response to environmental changes through post-translational modifications. A recent study has revealed that interferon-induced ADP-ribosylation (ADPr), which can be reversed by a SARS-CoV-2-encoded hydrolase, is enriched within a condensate. However, the identity of the condensate and responsible host ADP-ribosyltransferase remain elusive. Here, we demonstrate that interferon induces ADPr through transcriptional activation of PARP14, requiring both its physical presence and catalytic activity for condensate formation. Interferon-induced ADPr colocalizes with PARP14, and these PARP14/ADPr condensates contain key components of p62 bodies--including the selective autophagy receptor p62 and its binding partner NBR1, along with K48-linked and K63-linked polyubiquitin chains--but lack the autophagosome marker LC3B. Knockdown of p62 disrupts the formation of these ADPr condensates. Importantly, these structures are unaffected by autophagy inhibition but depend on both ubiquitin activation and proteasome activity. Taken together, these findings demonstrate that interferon triggers PARP14-mediated ADP-ribosylation in p62 bodies, which requires an active ubiquitin-proteasome system.

cell biology↗

bioRxiv2023

Escherichia coli isolated from commercial layer hens in Australia remain susceptible to critically important antimicrobials

Controlling the use of the most critically important antimicrobials (CIAs) in food animals has been identified as one of the key measures required to curb the transmission of antimicrobial resistant bacteria from animals to humans. Expanding the evidence demonstrating the effectiveness of restricting CIA usage for preventing the emergence of resistance to key drugs amongst commensal organisms in animal production would do much to strengthen international efforts to control antimicrobial resistance (AMR). As Australia has strict controls on antimicrobial use in layer hens, and internationally comparatively low levels of poultry disease due to strict national biosecurity measures, we investigated whether these circumstances have resulted in curtailing development of critical forms of AMR. The work comprised a cross-sectional national survey of 62 commercial layer farms with each assessed for AMR in Escherichia coli isolates recovered from faeces. Minimum inhibitory concentration analysis using a panel of 13 antimicrobials was performed on 296 isolates with those exhibiting phenotypic resistance to fluoroquinolones (a CIA) or multi-class resistance (MCR) subjected to whole genome sequencing. Overall, 52.0% of the isolates were susceptible to all antimicrobials tested, and all isolates were susceptible to ceftiofur, chloramphenicol and colistin. Resistance was observed to ampicillin (16.2%), cefoxitin (1.4%), ciprofloxacin (2.7%), florfenicol (2.4%), gentamicin (1.0%), streptomycin (4.7%), tetracycline (37.8%) and trimethoprim/sulfamethoxazole (10.5%). Multi-class resistance was observed in 23 isolates (7.7%), with one isolate (ST746) exhibiting resistance to five antimicrobial classes. Whole genome sequencing found that ciprofloxacin-resistant (fluoroquinolone) isolates were devoid of both known chromosomal mutations in the quinolone resistance determinant regions and plasmid-mediated quinolone resistance genes (qnr) - other than in one isolate (ST155) which carried the qnrS gene. Two MCR E. coli isolates with ciprofloxacin-resistance were found to be carrying known resistance genes including aadA1, dfrA1, strA, strB, sul1, sul2, tet(A), blaTEM-1B, qnrS1 and tet(A). Overall, this study found that E. coli from layer hens in Australia have low rates of AMR, likely due to strict control on antimicrobial usage achieved by the sum of regulation and voluntary measures.

microbiology↗

bioRxiv2022

A Suite of Advanced Tutorials for the WESTPA 2.0 Rare-Events Sampling Software

We present six advanced tutorials instructing users in the best practices of using key new features and plugins/extensions of the WESTPA 2.0 software package, which consists of major upgrades for enabling applications of the weighted ensemble (WE) path sampling strategy to even larger systems and/or slower processes. The tutorials demonstrate the use of the following key features: (i) a generalized resampler module for the creation of "binless" schemes, (ii) a minimal adaptive binning scheme for more efficient surmounting of free energy barriers, (iii) streamlined handling of large simulation datasets using an HDF5 framework, (iv) two different schemes for more efficient rate-constant estimation, (v) a Python API for simplified analysis of WE simulations, and (vi) plugins/extensions for Markovian Weighted Ensemble Milestoning and WE rule-based modeling at the system biology level. Applications of the tutorials range from atomistic to residue-level to non-spatial models, and include complex processes such as protein folding and the membrane permeability of a drug-like molecule. Users are expected to already have significant experience with running conventional molecular dynamics simulations and completed the previous suite of WESTPA tutorials.

biophysics↗

bioRxiv2021

MM-Deacon: Multimodal molecular domain embedding analysis via contrastive learning

AO_SCPLOWBSTRACTC_SCPLOWMolecular representation learning plays an essential role in cheminformatics. Recently, language model-based approaches have been popular as an alternative to traditional expert-designed features to encode molecules. However, these approaches only utilize a single modality for representing molecules. Driven by the fact that a given molecule can be described through different modalities such as Simplified Molecular Line Entry System (SMILES), The International Union of Pure and Applied Chemistry (IUPAC), and The IUPAC International Chemical Identifier (InChI), we propose a multimodal molecular embedding generation approach called MM-Deacon (multimodal molecular domain embedding analysis via contrastive learning). MM-Deacon is trained using SMILES and IUPAC molecule representations as two different modalities. First, SMILES and IUPAC strings are encoded by using two different transformer-based language models independently, then the contrastive loss is utilized to bring these encoded representations from different modalities closer to each other if they belong to the same molecule, and to push embeddings farther from each other if they belong to different molecules. We evaluate the robustness of our molecule embeddings on molecule clustering, cross-modal molecule search, drug similarity assessment and drug-drug interaction tasks.

bioinformatics↗

bioRxiv2021

Proximity to human settlement is directly related to carriage of critically important antimicrobial-resistant Escherichia coli and Klebsiella pneumoniae in Silver Gulls

Human population and activities play an important role in dissemination of antimicrobial resistant bacteria. This study investigated the relationship between carriage rates of critically important antimicrobial-resistant (CIA-R) Escherichia coli and Klebsiella pneumoniae by Silver Gulls and their proximity to human populations. Faecal swabs (n=229) were collected from Silver Gulls across 10 southern coastline locations in Western Australia (WA). The sampling locations included main town centres and remote areas. Fluoroquinolone and extended-spectrum cephalosporin-resistant E. coli and K. pneumoniae were isolated and tested for antimicrobial sensitivity. Genome sequencing was performed to validate phenotypic resistance profiles and determine the molecular characteristics of strains. CIA-R E. coli and K. pneumoniae were detected in 69 (30.1%) and 20 (8.73%) of the faecal swabs respectively. Two large urban locations tested positive for CIA-R E. coli (frequency ranging from 34.3%-84.3%), and/or for CIA-R K. pneumoniae (frequency ranging from 12.5%-50.0%). A small number of CIA-R E. coli (3/31, 9.7%) were identified at a small tourist town, but no CIA-R bacteria were recovered from gulls at remote sites. Commonly detected E. coli sequence types (STs) included ST131 (12.5%) and ST1193 (10.0%), and five K. pneumoniae STs were found. Resistance genes including blaCTX-M-3, blaCTX-M-15 and blaCTX-M-27 were identified in both bacterial species. High-level colonisation of CIA-R E. coli and K. pneumoniae in Silver Gulls in and around urban areas compared to remote locations substantiates that anthropogenic activities are strongly associated with acquisition of resistant bacteria by gulls. ImportanceHumans play an important role in dissemination of antimicrobial resistant bacteria. This study investigated the relationship between carriage rates of resistant bacterial pathogens (Escherichia coli and Klebsiella pneumoniae) among Silver Gulls and their proximity to human populations. The frequency of resistant E. coli carriage was high (ranging from 34.3 - 84.3%) in the samples collected from areas with high human population density while resistant K. pneumoniae frequencies at these sites varied from 0 to 50%. However, resistant E. coli and K. pneumoniae were not recovered from any of the remote sites that did not have a permanent human population. This study, conducted across a large stretch of the southwestern Australian coastline, indicated that seagulls act as vectors in carrying and disseminating antimicrobial resistant bacteria, including clinically significant strains. High-level colonisation of resistant E. coli and K. pneumoniae in Silver Gulls in and around urban areas compared to remote locations substantiates that human activities are strongly associated with acquisition of resistant bacteria by Silver gulls.

microbiology↗

bioRxiv2021

In lupus nephritis, specific in situ inflammatory states are associated with refractory disease and progression to renal failure

In human lupus nephritis (LN), tubulointerstitial inflammation (TII) on biopsy predicts progression to end stage renal disease (ESRD). However, while approximately half of patients with moderate or severe TII develop ESRD, half do not. Therefore, we hypothesized that TII is heterogeneous, with distinct inflammatory states associated with different renal outcomes. We interrogated renal biopsies from LN longitudinal and cross-sectional cohorts using both conventional and highly multiplexed confocal microscopy. To accurately segment cells across whole biopsies, and to understand their spatial relationships, we developed unique computational pipelines by training and implementing several deep learning models and other computer vision techniques. Surprisingly, across biopsies, high B cell densities were strongly associated with protection from ESRD. In contrast, elevated CD4-T cell population densities, which included CD8, {gamma}{delta} and double negative (CD4-CD8-{delta}-, DN) T cells, were associated with both acute refractory renal failure and gradual progression to ESRD. Interestingly, lymphocytes and dendritic cells were organized into discrete clusters or neighborhoods that could be characterized by the enrichment for specific cell populations. B cells were often organized into large neighborhoods with CD4+ T cells including T follicular helper-like cells. In contrast, the CD4-T cell populations formed small cellular neighborhoods whose frequency predicted subsequent progression to ESRD. These data reveal that in LN, specific in situ inflammatory states are associated with refractory disease and progression to ESRD. One sentence summaryUsing deep machine learning to analyze confocal microscopy data, we demonstrate that in lupus nephritis, CD4-T cell populations, including CD8+ and {gamma}{delta} T cells, organize into specific spatial neighborhoods that predict progression to renal failure.

immunology↗

bioRxiv2021

Validation of selective agars for detection and quantification of Escherichia coli resistant to critically important antimicrobials

Success in the global fight against antimicrobial resistance (AMR) is likely to improve if surveillance can be performed more rapidly, affordably and on a larger scale. An approach based on robotics and agars incorporated with antimicrobials has enormous potential to achieve this. However, there is a need to identify the combinations of selective agars and key antimicrobials yielding the most accurate counts of susceptible and resistant organisms. A series of designed experiments involving 1,202 plates identified the best candidate-combinations from six commercially available agars and five antimicrobials using 18 Escherichia coli strains as either pure cultures or inoculums within faeces. The effect of various design factors on colony counts were analysed in generalised linear models. Without antimicrobials, Brilliance E. coli (Brilliance) and CHROMagar ECC (CHROMagar) agars yielded 28.9% and 23.5% more colonies than MacConkey agar. The order of superiority of agars remained unchanged when faecal samples with and without spiking of resistant E. coli were inoculated onto agars with or without specific antimicrobials. When incorporating antimicrobials at varying concentrations, it was revealed that ampicillin, tetracycline and ciprofloxacin are suitable for incorporation into Brilliance and CHROMagar agars at all defined concentrations. Gentamicin was only suitable for incorporation at 8 and 16 g/mL while ceftiofur was only suitable at 1 g/mL. CHROMagar ESBL agar supported growth of a wider diversity of extended-spectrum cephalosporin-resistant E. coli. The findings demonstrate the potential for combining robotics with agars to deliver AMR surveillance on a vast scale with greater sensitivity of detection and strategic relevance. IMPORTANCEEstablished models of surveillance for AMR in livestock typically have a low sampling intensity which creates a tremendous barrier to understanding the variation of resistance amongst animal and food enterprises. However, developments in laboratory robotics now make it possible to rapidly and affordably process high volumes of samples. Combined with modern selective agars incorporating antimicrobials, this forms the basis of a novel surveillance process for identifying resistant bacteria by chromogenic reaction including accurately detecting and quantifying their presence even when present at low concentration. As Escherichia coli is a widely preferred indicator bacterium for AMR surveillance, this study identifies the optimal selective agar for quantifying resistant E. coli by assessing the growth performance on agars with antimicrobials. The findings are the first step towards exploiting laboratory robotics in an up-scaled approach to AMR surveillance in livestock with wider adaptations in food, clinical microbiology and public health.

microbiology↗

bioRxiv2021

Robotic Antimicrobial Susceptibility Platform (RASP): A Next Generation Approach to One-Health Surveillance of Antimicrobial Resistance.

BackgroundSurveillance of antimicrobial resistance (AMR) is critical to reducing its wide-reaching impact. Its reliance on sample size invites solutions to longstanding constraints regarding scalability. A robotic platform (RASP) was developed for high-throughput AMR surveillance in accordance with internationally recognised standards (CLSI and ISO 20776-1:2019) and validated through a series of experiments. MethodsExperiment A compared RASPs ability to achieve consistent MICs to that of a human technician across eight replicates for four E. coli isolates. Experiment B assessed RASPs agreement with human performed MICs across 91 E. coli isolates with a diverse range of AMR profiles. Additionally, to demonstrate its real-world applicability, the RASP workflow was then applied to five faecal samples where a minimum of 47 E. coli per animal (239 total) were evaluated using an AMR indexing framework. ResultsFor each drug-rater-isolate combination in experiment A, there was a clear consensus of the MIC and deviation from the consensus remained within one doubling-dilution (the exception being gentamicin at two dilutions). Experiment B revealed a concordance correlation coefficient of 0.9670 (95%CI: 0.9670 - 0.9670) between the robot and human performed MICs. RASPs application to the five faecal samples highlighted the intra-animal diversity of gut commensal E. coli, identifying between five and nine unique isolate AMR phenotypes per sample. ConclusionsWhile adhering to internationally accepted guidelines, RASP was superior in throughput, cost and data resolution when compared to an experienced human technician. Integration of robotics platforms in the microbiology laboratory is a necessary advancement for future One-Health AMR endeavours.

microbiology↗

bioRxiv2020

In situ humoral selection in human lupus tubulointerstitial inflammation

ABSTRACTIn human lupus nephritis, tubulointerstitial inflammation (TII) is associated with in situ expansion of B cells expressing anti-vimentin antibodies (AVAs). The mechanism by which AVAs are selected is unclear. Herein, we demonstrate that AVA somatic hypermutation and selection increase affinity for vimentin. However, enzyme-linked immunosorbent assays (ELISAs) suggested that affinity maturation might be a non-specific consequence of increasing polyreactivity. Subsequent multi-color confocal microscopy studies indicated that while TII AVAs often appeared polyreactive by ELISA, they bound selectively to vimentin fibrils in whole cells or inflamed renal tissue. Using a novel machine learning pipeline (CytoSkaler) to quantify the cellular distribution of antibody staining, we demonstrated that TII AVAs were selected for both enhanced binding and specificity in situ. These data suggest a new approach to assess and define antibody polyreactivity based on quantifying the distribution of binding to native and contextually relevant antigens.Competing Interest StatementThe authors have declared no competing interest.View Full Text

immunology↗

bioRxiv2018

Examination of Australian Streptococcus suis Isolates From Clinically Affected Pigs in a Global Context and the Genomic Characterisation of ST1 as a Predictor of Virulence

Streptococcus suis is a major zoonotic pathogen that causes severe disease in both humans and pigs. In this study, we investigated S. suis from 148 cases of clinical disease in pigs from 46 pig herds over a period of seven years. These isolates underwent whole genome sequencing, genome analysis and antimicrobial susceptibility testing. Genome sequence data of Australian isolates was compared at the core genome level to clinical isolates from overseas. Results demonstrated eight predominant multi-locus sequence types and two major cps gene types (cps2 and 3). At the core genome level Australian isolates clustered predominantly within one large clade consisting of isolates from the UK, Canada and North America. In particular, serotype 2 MLST25 strains were very closely associated with Canadian and North American strains. A very small proportion of Australian swine isolates (5%) were phylogenetically associated with south-east Asian and UK isolates, many of which were classified as causing systemic disease, and derived from cases of human and swine disease. In addition, we show that ST1 clones carry a constellation of putative virulence genes not present in other Australian STs, and that this is mirrored in overseas ST1 clones. Based on this dataset we provide a comprehensive outline of the current S. suis clones associated with disease in Australian pigs and their global context, and discuss the implications this has on antimicrobial therapy, potential vaccine candidates and public health.\n\nImportanceIn this study, we examine in detail, the genomic characteristics of 148 Streptococcus suis isolates from clinically diseased Australian pigs. We report the antimicrobial susceptibility profiles, virulence gene analysis and relationship to isolates from other regions of the world. We also demonstrate that ST1 clones, regardless of serotype, carry a large array of putative virulence genes while maintaining a small total gene content. This compilation of data has major ramifications for vaccine development, and refines the understanding of the distribution of various strains of this potentially-fatal zoonotic agent in the global pig industry

microbiology↗