Biology subjects

Sweeney, E. G.

Publications and source records attributed to Sweeney, E. G..

3 recordsLinked to original sources

bioRxiv2022

A microbiota membrane disrupter disseminates to the pancreas and increases β-cell mass

Microbiome dysbiosis is a feature of diabetes, but how microbial products influence insulin production is poorly understood. Here we report the mechanism of BefA, a microbiome-derived protein that increases proliferation of insulin-producing {beta}-cells during pancreatic development in gnotobiotic zebrafish and mice. BefA disseminates systemically via multiple anatomic routes to act directly on pancreatic islets. We report the structure of BefA, containing a lipid-binding SYLF domain, and demonstrate that it permeabilizes synthetic liposomes and bacterial membranes. A BefA mutant impaired in membrane disruption fails to expand {beta}-cells whereas the pore-forming host defense protein, Reg3, stimulates {beta}-cell proliferation. Our work demonstrates that membrane permeabilization by microbiome-derived and host defense proteins is necessary and sufficient for {beta}-cell expansion during pancreas development, thereby connecting microbiome composition with diabetes risk.

molecular biology↗

bioRxiv2021

The immunomodulatory dCache chemoreceptor TlpA of Helicobacter pylori binds multiple attractant and antagonistic ligands via distinct sites

The Helicobacter pylori chemoreceptor TlpA plays a role in dampening host inflammation during chronic stomach colonization. TlpA has a periplasmic dCache_1 domain, a structure that is capable of sensing many ligands; however, the only characterized TlpA signals are arginine, bicarbonate, and acid. To increase our understanding of TlpAs sensing profile, we screened for diverse TlpA ligands using ligand binding arrays. TlpA bound seven ligands with affinities in the low to middle micromolar ranges. Three of these ligands, arginine, fumarate, and cysteine, were TlpA-dependent chemoattractants, while the others elicited no response. Molecular docking experiments, site-directed point mutants, and competition surface plasmon resonance binding assays suggested that TlpA binds ligands via both the membrane-distal and -proximal dCache_1 binding pockets. Surprisingly, one of the non-active ligands, glucosamine, acted as a chemotaxis antagonist, preventing the chemotaxis response to chemoattractant ligands and acted to block binding of ligands irrespective of whether they bound the membrane-distal or -proximal dCache_1 subdomains. In total, these results suggest TlpA senses multiple attractant ligands as well as antagonist ones, an emerging theme in chemotaxis systems. ImportanceNumerous chemotactic bacterial pathogens depend on the ability to sense a diverse array of signals through chemoreceptors to achieve successful colonization and virulence within their host. The signals sensed by chemoreceptors, however, are not always fully understood. This is the case for TlpA, a dCache_1 chemoreceptor of H. pylori that enables the bacteria to induce less inflammation during chronic infections. H. pylori causes a significant global disease burden, which is driven by the development of gastric inflammation. Accordingly, it is essential to understand the processes by which H. pylori modulates host inflammation. This work uncovers the signals that TlpA can sense and highlights the underappreciated ability for regulating chemotactic responses by antagonistic chemoreceptor ligands, which is an emerging theme among other chemotactic systems.

microbiology↗

bioRxiv2018

Agent-Based Modeling Demonstrates How Local Chemotactic Behavior Can Shape Biofilm Architecture

Mature bacterial biofilms have elaborate three-dimensional architectures that endow these structures with their durability and resistance to environmental perturbations. We used agent-based modeling to explore whether local cellular interactions were sufficient to give rise to global structural features of biofilms. Specifically, we asked whether chemorepulsion from a self-produced quorum-sensing molecule, autoinducer-2 (AI-2), was sufficient to recapitulate biofilm growth and cellular organization observed for biofilms of the human pathogen Helicobacter pylori. To carry out this modeling, we modified an existing platform, Individual-based Dynamics of Microbial Communities Simulator (iDynoMiCS), to incorporate three-dimensional chemotaxis, planktonic cells that could join or leave the biofilm structure, and cellular production of AI-2. We simulated biofilm growth of previously characterized H. pylori strains with varying AI-2 production and sensing capacities. Using biologically plausible parameters, we were able to recapitulate both the variation in biofilm mass and cellular distributions observed with these strains. Specifically, the strains that were competent to chemotax away from AI-2 produced smaller and more heterogeneously spaced biofilms, whereas the AI-2 chemotaxis defective strains produced larger and more homogeneously spaced biofilms. The model also provided new insights into the cellular demographics contributing to the biofilm patterning of each strain. Our analysis supports the idea that cellular interactions at small spatial and temporal scales are sufficient to give rise to larger scale emergent properties of biofilms.\n\nImportanceMost bacteria exist in aggregated, three-dimensional structures called biofilms. Biofilms are resistant to antimicrobials and can pose societal problems, for example when they grow in plumbing systems or on medical implants. Understanding the processes that promote the growth and disassembly of biofilms could lead to better strategies to manage these structures. We had previously shown that Helicobacter pylori bacteria are repulsed by high concentrations of a self-produced molecule, autoinducer-2 (AI-2) and that H. pylori mutants deficient in AI-2 sensing form larger and more homogeneously spaced biofilms. Here we used computer simulations of biofilm formation to show that local H. pylori behavior of repulsion from high AI-2 could explain the overall architecture of H. pylori biofilms. Our findings demonstrate that it is possible to change global biofilm organization by manipulating local cell behaviors, which suggests that simple strategies targeting cells at local scales could be useful for controlling biofilms in industrial and medical settings.

microbiology↗