Identity Determinants of the Translocation Signal for a Type 1 Secretion System

The toxin hemolysin A was first identified in uropathogenic E. coli strains and shown to be secreted in a one-step mechanism by a dedicated secretion machinery. This machinery, which belongs to the Type I secretion system family of the Gram-negative bacteria, is composed of the outer membrane protein TolC, the membrane fusion protein HlyD and the ABC transporter HlyB. The N-terminal domain of HlyA represents the toxin which is followed by a RTX (Repeats in Toxins) domain harboring nonapeptide repeat sequences and the secretion signal at the extreme C-terminus. This secretion signal, which is necessary and sufficient for secretion, does not appear to require a defined sequence, and the nature of the encoded signal remains unknown. Here, we have combined structure prediction based on the AlphaFold algorithm together with functional and in silico data to examine the role of secondary structure in secretion. Based on the presented data, a C-terminal, amphipathic helix is proposed between residues 975 and 987 that plays an essential role in the early steps of the secretion process.</jats:p

The structure of MadC from Clostridium maddingley reveals new insights into class I lanthipeptide cyclases

The rapid emergence of microbial multi-resistance against antibiotics has led to intense search for alternatives. One of these alternatives are ribosomally synthesized and post-translationally modified peptides (RiPPs), especially lantibiotics. They are active in a low nanomolar range and their high stability is due to the presence of characteristic (methyl-) lanthionine rings, which makes them promising candidates as bacteriocides. However, innate resistance against lantibiotics exists in nature, emphasizing the need for artificial or tailor-made lantibiotics. Obviously, such an approach requires an in-depth mechanistic understanding of the modification enzymes, which catalyze the formation of (methyl-)lanthionine rings. Here, we determined the structure of a class I cyclase (MadC), involved in the modification of maddinglicin (MadA) via X-ray crystallography at a resolution of 1.7 Å, revealing new insights about the structural composition of the catalytical site. These structural features and substrate binding were analyzed by mutational analyses of the leader peptide as well as of the cyclase, shedding light into the mode of action of MadC

Accelerating the in vitro emulation of Alzheimer’s disease-associated phenotypes using a novel 3D blood-brain barrier neurosphere co-culture model

High failure rates in clinical trials for neurodegenerative disorders such as Alzheimer’s disease have been linked to an insufficient predictive validity of current animal-based disease models. This has created an increasing demand for alternative, human-based models capable of emulating key pathological phenotypes in vitro. Here, a three-dimensional Alzheimer’s disease model was developed using a compartmentalized microfluidic device that combines a self-assembled microvascular network of the human blood-brain barrier with neurospheres derived from Alzheimer’s disease-specific neural progenitor cells. To shorten microfluidic co-culture times, neurospheres were pre-differentiated for 21 days to express Alzheimer’s disease-specific pathological phenotypes prior to the introduction into the microfluidic device. In agreement with post-mortem studies and Alzheimer’s disease in vivo models, after 7 days of co-culture with pre-differentiated Alzheimer’s disease-specific neurospheres, the three-dimensional blood-brain barrier network exhibited significant changes in barrier permeability and morphology. Furthermore, vascular networks in co-culture with Alzheimer’s disease-specific microtissues displayed localized β-amyloid deposition. Thus, by interconnecting a microvascular network of the blood-brain barrier with pre-differentiated neurospheres the presented model holds immense potential for replicating key neurovascular phenotypes of neurodegenerative disorders in vitro

Improving the purification of membrane proteins from Escherichia coli C41(DE3)

The overexpression and purification of membrane proteins to high purity and homogeneity is a challenging task. Over time, several strains have been developed that decrease the toxic side-effects and thus result in higher bio mass and protein yield. However, two major contaminants have been identified in membrane protein preparations from E. coli: the outer membrane porin OmpF and AcrB, which is part of a tripartite efflux pump. Both proteins crystallise from low concentrations and diverse conditions, which make them a major problem, especially in membrane protein crystallography. In this study, we present a C41(DE3)-derived expression strains that is depleted of these two proteins

Shaping the lipid composition of bacterial membranes for membrane protein production

Contains fulltext : 209080.pdf (publisher's version ) (Open Access

A phospholipase B from Pseudomonas aeruginosa with activity towards endogenous phospholipids affects biofilm assembly

Pseudomonas aeruginosa is a severe threat to immunocompromised patients due to its numerous virulence factors and biofilm-mediated multidrug resistance. It produces and secretes various toxins with hydrolytic activities including phospholipases. However, the function of intracellular phospholipases for bacterial virulence has still not been established. Here, we demonstrate that the hypothetical gene pa2927 of P. aeruginosa encodes a novel phospholipase B named PaPlaB. At reaction equilibrium, PaPlaB purified from detergent-solubilized membranes of E. coli released fatty acids (FAs) from sn-1 and sn-2 positions of phospholipids at the molar ratio of 51:49. PaPlaB in vitro hydrolyzed P. aeruginosa phospholipids reconstituted in detergent micelles and phospholipids reconstituted in vesicles. Cellular localization studies indicate that PaPlaB is a cell-bound PLA of P. aeruginosa and that it is peripherally bound to both membranes in E. coli, yet the active form was predominantly associated with the cytoplasmic membrane of E. coli. Decreasing the concentration of purified and detergent-stabilized PaPlaB leads to increased enzymatic activity, and at the same time triggers oligomer dissociation. We showed that the free FA profile, biofilm amount and architecture of the wild type and ΔplaB differ. However, it remains to be established how the PLB activity of PaPlaB is regulated by homooligomerisation and how it relates to the phenotype of the P. aeruginosa ΔplaB. This novel putative virulence factor contributes to our understanding of phospholipid degrading enzymes and might provide a target for new therapeutics against P. aeruginosa biofilms

Nutrient exchange in arbuscular mycorrhizal symbiosis from a thermodynamic point of view

To obtain insights into the dynamics of nutrient exchange in arbuscular mycorrhizal (AM) symbiosis, we modelled mathematically the two-membrane system at the plant-fungus interface and simulated its dynamics. In computational cell biology experiments, the full range of nutrient transport pathways was tested for their ability to exchange phosphorus (P)/carbon (C)/nitrogen (N) sources. As a result, we obtained a thermodynamically justified, independent and comprehensive model of the dynamics of the nutrient exchange at the plant-fungus contact zone. The predicted optimal transporter network coincides with the transporter set independently confirmed in wet-laboratory experiments previously, indicating that all essential transporter types have been discovered. The thermodynamic analyses suggest that phosphate is released from the fungus via proton-coupled phosphate transporters rather than anion channels. Optimal transport pathways, such as cation channels or proton-coupled symporters, shuttle nutrients together with a positive charge across the membranes. Only in exceptional cases does electroneutral transport via diffusion facilitators appear to be plausible. The thermodynamic models presented here can be generalized and adapted to other forms of mycorrhiza and open the door for future studies combining wet-laboratory experiments with computational simulations to obtain a deeper understanding of the investigated phenomena