Microbiology

The rhizosphere, a 2–10 mm region surrounding the root surface, is colonized by numerous microorganisms, known as the rhizosphere microbiome. These microorganisms interact with each other, leading to emergent properties that affect plant fitness. Mapping these interactions is crucial to understanding microbial ecology in the rhizosphere and predicting and manipulating plant health. However, current methods do not capture the chemistry of the rhizosphere environment, and common plant–microbe interaction study setups do not map bacterial interactions in this niche. Additionally, studying bacterial interactions may require the creation of transgenic bacterial lines with markers for antibiotic resistance/fluorescent probes and even isotope labeling. Here, we describe a protocol for both in silico prediction and in vitro validation of bacterial interactions that closely recapitulate the major chemical constituents of the rhizosphere environment using a widely used Murashige & Skoog (MS)-based gnotobiotic plant growth system. We use the auto-fluorescent Pseudomonas, abundantly found in the rhizosphere, to estimate their interactions with other strains, thereby avoiding the need for the creation of transgenic bacterial strains. By combining artificial root exudate medium, plant cultivation medium, and a synthetic bacterial community (SynCom), we first simulate their interactions using genome-scale metabolic models (GSMMs) and then validate these interactions in vitro, using growth assays. We show that the GSMM-predicted interaction scores correlate moderately, yet significantly, with their in vitro validation. Given the complexity of interactions among rhizosphere microbiome members, this reproducible and efficient protocol will allow confident mapping of interactions of fluorescent Pseudomonas with other bacterial strains within the rhizosphere microbiome.

Human intestinal barrier function is crucial for health. Beneficial microbes, such as commensal gut bacteria and probiotics, are known to contribute to the regulation of this barrier function. Interactions between bacteria and human intestinal cells can be analyzed by co-culturing bacteria with mammalian cells in vitro. Here, we describe a method to assess the effect of individual bacterial strains on intestinal barrier function using automated transepithelial electrical resistance (TEER) measurements. Caco-2 cells are used as a model of the intestinal epithelium, as these cells spontaneously differentiate into small intestinal epithelial-like cells characterized by tight junctions between adjacent cells. These cells are seeded on polyester filter inserts and cultured for 17 days to form a differentiated monolayer prior to the co-culture experiment. Bacteria are grown on agar, and a single colony is used to prepare a liquid culture in bacterial broth appropriate for the bacteria of interest. On the day of the co-culture experiment, the bacterial culture is resuspended in cell culture medium at the desired concentration. Inserts are transferred to cellZscope cell modules to enable automated TEER measurements, and the medium in the insert is replaced with cell culture medium containing the bacteria of interest. This method allows for intestinal tight junction barrier function to be assessed non-invasively and in real-time in response to probiotics. The use of the automated cellZscope system eliminates the need for labor-intensive manual TEER measurements, which reduces the variability in data that results from human handling and temperature changes that occur when cells are removed from the incubator.

Inflammatory bowel disease (IBD) is highly prevalent globally and, in the majority of cases, remains asymptomatic during its initial stages. The gastrointestinal microbiota secretes volatile organic compounds (VOCs), and their composition alters in IBD. The examination of VOCs could prove beneficial in complementing diagnostic techniques to facilitate the early identification of IBD risk. In this protocol, a model of sodium dextran sulfate (DSS)-induced colitis in rats was successfully implemented for the non-invasive metabolomic assessment of different stages of inflammation. Headspace–gas chromatography–mass spectrometry (HS–GC–MS) was used as a non-invasive method for inflammation assessment at early and remission stages. The disease activity index (DAI) and histological method were employed to assess intestinal inflammation. The HS–GC–MS method demonstrated high sensitivity to intestine inflammation, confirmed by DAI and histology assay, in the acute and remission stages, identifying changes in the relative content of VOCs in stools. HS–GC–MS may be a useful and non-invasive method for IBD diagnostics and therapy effectiveness control.

Periodontal disease is characterized by the destruction of the hard and soft tissues comprising the periodontium. This destruction translates to a degradation of the extracellular matrices (ECM), mediated by bacterial proteases, host-derived matrix metalloproteinases (MMPs), and other proteases released by host tissues and immune cells. Bacterial pathogens interact with host tissue, triggering adverse cellular functions, including a heightened immune response, tissue destruction, and tissue migration. The oral spirochete Treponema denticola is highly associated with periodontal disease. Dentilisin, a T. denticola outer membrane protein complex, contributes to the chronic activation of pro-MMP-2 in periodontal ligament (PDL) cells and triggers increased expression levels of activators and effectors of active MMP-2 in PDL cells. Despite these advances, no mechanism for dentilisin-induced MMP-2 activation or PDL cytopathic behaviors leading to disease is known. Here, we describe a method for purification of large amounts of the dentilisin protease complex from T. denticola and demonstrate its ability to activate MMP-2, a key regulator of periodontal tissue homeostasis. The T. denticola dentilisin and MMP-2 activation model presented here may provide new insights into the dentilisin protein and identify potential therapeutic targets for further research.

Intracellular bacterial pathogens have evolved to be adept at manipulating host cellular function for the benefit of the pathogen, often by means of secreted virulence factors that target host pathways for modulation. The lysosomal pathway is an essential cellular response pathway to intracellular pathogens and, as such, represents a common target for bacterial-mediated evasion. Here, we describe a method to quantitatively assess bacterial pathogen–mediated suppression of host cell trafficking to lysosomes, using Salmonella enterica serovar Typhimurium infection of epithelial cells as a model. This live-cell imaging assay involves the use of a BODIPY TR-X conjugate of BSA (DQ-Red BSA) that traffics to and fluoresces in functional lysosomes. This method can be adapted to study infection with a broad array of pathogens in diverse host cell types. It is capable of being applied to identify secreted virulence factors responsible for a phenotype of interest as well as domains within the bacterial protein that are important for mediating the phenotype. Collectively, these tools can provide invaluable insight into the mechanisms of pathogenesis of a diverse array of pathogenic bacteria, with the potential to uncover virulence factors that may be suitable targets for therapeutic intervention.

Key features

• Infection-based analysis of bacterial-mediated suppression of host trafficking to lysosomes, using Salmonella enterica serovar Typhimurium infection of human epithelial cells as a model.

• Live microscopy–based analysis allows for the visualization of individually infected host cells and is amenable to phenotype quantification.

• Assay can be adapted to a broad array of pathogens and diverse host cell types.

• Assay can identify virulence factors mediating a phenotype and protein domains that mediate a phenotype.

Plants elicit defense responses when exposed to pathogens, which partly contribute to the resistance of plants to Agrobacterium tumefaciens–mediated transformation. Some pathogenic bacteria have sophisticated mechanisms to counteract these defense responses by injecting Type III effectors (T3Es) through the Type III secretion system (T3SS). By engineering A. tumefaciens to express T3SS to deliver T3Es, we suppressed plant defense and enhanced plant genetic transformation. Here, we describe the optimized protocols for mobilization of T3SS-expressing plasmid to engineer A. tumefaciens to deliver proteins through T3SS and fractionation of cultures to study proteins from pellet and supernatants to determine protein secretion from engineered A. tumefaciens.

During infection, complement plays a critical role in inflammation, opsonisation, and destruction of microorganisms. This presents a challenge for pathogens such as Staphylococcus aureus to overcome when invading the host. Our current knowledge on the mechanisms that evolved to counteract and disable this system is limited by the molecular tools available. Present techniques utilise labelled complement-specific antibodies to detect deposition upon the bacterial surface, a method not compatible with pathogens such as S. aureus, which are equipped with immunoglobulin-binding proteins, Protein A and Sbi. This protocol uses a novel antibody-independent probe, derived from the C3 binding domain of staphylococcal protein Sbi, in combination with flow cytometry, to quantify complement deposition. Sbi-IV is biotinylated, and deposition is quantified with fluorophore-labelled streptavidin. This novel method allows observation of wild-type cells without the need to disrupt key immune modulating proteins, presenting the opportunity to analyse the complement evasion mechanism used by clinical isolates. Here, we describe a step-by-step protocol for the expression and purification of Sbi-IV protein, quantification and biotinylation of the probe, and finally, optimisation of flow cytometry to detect complement deposition using normal human serum (NHS) and both Lactococcus lactis and S. aureus.

Periodontal disease is a chronic multifactorial disease triggered by a complex of bacterial species. These interact with host tissues to cause the release of a broad array of pro-inflammatory cytokines, chemokines, and tissue remodelers, such as matrix metalloproteinases (MMPs), which lead to the destruction of periodontal tissues. Patients with severe forms of periodontitis are left with a persistent pro-inflammatory transcriptional profile throughout the periodontium, even after clinical intervention, leading to the destruction of teeth-supporting tissues. The oral spirochete, Treponema denticola , is consistently found at significantly elevated levels at sites with advanced periodontal disease. Of all T. denticola virulence factors that have been described, its chymotrypsin-like protease complex, also called dentilisin, has demonstrated a multitude of cytopathic effects consistent with periodontal disease pathogenesis, including alterations in cellular adhesion activity, degradation of various endogenous extracellular matrix–substrates, degradation of host chemokines and cytokines, and ectopic activation of host MMPs. Thus, the following model of T. denticola –human periodontal ligament cell interactions may provide new knowledge about the mechanisms that drive the chronicity of periodontal disease at the protein, transcriptional, and epigenetic levels, which could afford new putative therapeutic targets.

Microbiome studies are quickly gaining momentum. Since most of the resident microbes (consisting of bacteria, fungi, and viruses) are difficult to culture, sequencing the microbial genome is the method of choice to characterize them. It is therefore important to have efficient methodology for gDNA isolation of gut microbes. Mouse models are widely used to understand human disease etiology while avoiding human ethics-related complications. However, the widely used kit-based methods are costly, and sometimes yields (in terms of quality and quantity) are sub-optimal. To overcome this problem, we developed a straightforward, standardized DNA isolation procedure from mouse cecal content for further microbiome-related studies. The reagents we used to standardize the procedure are readily available even in a not-so-well-equipped laboratory, and the reagents are not expensive. The yield and quality of the DNA are also better than those obtained by the readily available kit-based methods.

Additionally, we modified the kit-based method of RNA isolation from the colon tissue sample of the mouse for better yield. Churning the tissue with liquid nitrogen at the beginning of the procedure improves RNA quality and quantity.

Graphical abstract:

Competition assays are a simple phenotyping strategy that confront two bacterial strains to evaluate their relative fitness. Because they are more accurate than single-strain growth assays, competition assays can be used to highlight slight differences that would not otherwise be detectable. In the frame of host-pathogens interactions, they can be very useful to study the contribution of individual bacterial genes to bacterial fitness and lead to the identification of new adaptive traits. Here, we describe how to perform such competition assays by taking the example of the model phytopathogenic bacterium Xanthomonas campestris pv. campestris during infection of the mesophyll of its cauliflower host. This phenotypic assay is based on the use of a Competitive Index (CI) that compares the relative abundance of co-inoculated strains before and after inoculation. Since multiplication is a direct proxy for bacterial fitness, the evolution of the ratio between both strains in the mixed population is a direct way to assess differences in fitness in a given environment. In this protocol, we exploit the blue staining of GUS-expressing bacteria to count blue vs. white colonies on plates and estimate the competitiveness of the strains of interest in plant mesophyll.