Selective recovery of RNAs from bacterial pathogens after their internalization by human host cells

Current concepts, advances, and challenges in deciphering the human microbiota with metatranscriptomics

Metatranscriptomics refers to the analysis of the collective microbial transcriptome of a sample. Its increased utilization for the characterization of human-associated microbial communities has enabled the discovery of many disease-state related microbial activities. Here, we review the principles of metatranscriptomics-based analysis of human-associated microbial samples. We describe strengths and weaknesses of popular sample preparation, sequencing, and bioinformatics approaches and summarize strategies for their use. We then discuss how human-associated microbial communities have recently been examined and how their characterization may change. We conclude that metatranscriptomics insights into human microbiotas under health and disease have not only expanded our knowledge on human health, but also opened avenues for rational antimicrobial drug use and disease management.

Extraction of High-Quality RNA from S. aureus Internalized by Endothelial Cells

Staphylococcus aureus evades antibiotic therapy and antimicrobial defenses by entering human host cells. Bacterial transcriptomic analysis represents an invaluable tool to unravel the complex interplay between host and pathogen. Therefore, the extraction of high-quality RNA from intracellular S. aureus lays the foundation to acquire meaningful gene expression data. In this study, we present a novel and straightforward strategy to isolate RNA from internalized S. aureus after 90 min, 24 h, and 48 h postinfection. Real-time PCR data were obtained for the target genes agrA and fnba, which play major roles during infection. The commonly used reference genes gyrB, aroE, tmRNA, gmk, and hu were analyzed under different conditions: bacteria from culture (condition I), intracellular bacteria (condition II), and across both conditions I and II. The most stable reference genes were used for the normalization of agrA and fnbA. Delta C_q (quantification cycle) values had a relatively low variability and thus demonstrated the high quality of the extracted RNA from intracellular S. aureus during the early phase of infection. The established protocol allows the extraction and purification of intracellular staphylococcal RNA while minimizing the amount of host RNA in the sample. This approach can leverage reproducible gene expression data to study host-pathogen interactions.

Cross-species RNA-seq for deciphering host-microbe interactions

The human body is constantly exposed to microorganisms, which entails manifold interactions between human cells and diverse commensal or pathogenic bacteria. The cellular states of the interacting cells are decisive for the outcome of these encounters such as whether bacterial virulence programmes and host defence or tolerance mechanisms are induced. This Review summarizes how next-generation RNA sequencing (RNA-seq) has become a primary technology to study host-microbe interactions with high resolution, improving our understanding of the physiological consequences and the mechanisms at play. We illustrate how the discriminatory power and sensitivity of RNA-seq helps to dissect increasingly complex cellular interactions in time and space down to the single-cell level. We also outline how future transcriptomics may answer currently open questions in host-microbe interactions and inform treatment schemes for microbial disorders.

Functionality and cross-regulation of the four SprG/SprF type I toxin-antitoxin systems in Staphylococcus aureus

Toxin–antitoxin (TA) systems are ubiquitous among bacteria, frequently expressed in multiple copies, and important for functions such as antibiotic resistance and persistence. Type I TA systems are composed of a stable toxic peptide whose expression is repressed by an unstable RNA antitoxin. Here, we investigated the functionalities, regulation, and possible cross-talk between three core genome copies of the pathogenicity island-encoded ‘sprG1/sprF1’ type I TA system in the human pathogen Staphylococcus aureus. Except for SprG4, all RNA from these pairs, sprG2/sprF2, sprG3/sprF3, sprG4/sprF4, are expressed in the HG003 strain. SprG2 and SprG3 RNAs encode toxic peptides whose overexpression triggers bacteriostasis, which is counteracted at the RNA level by the overexpression of SprF2 and SprF3 antitoxins. Complex formation between each toxin and its cognate antitoxin involves their overlapping 3′ ends, and each SprF antitoxin specifically neutralizes the toxicity of its cognate SprG toxin without cross-talk. However, overexpression studies suggest cross-regulations occur at the RNA level between the SprG/SprF TA systems during growth. When subjected to H₂O₂-induced oxidative stress, almost all antitoxin levels dropped, while only SprG1 and SprF1 were reduced during phagocytosis-induced oxidative stress. SprG1, SprF1, SprF2, SprG3 and SprF3 levels also decrease during hyperosmotic stress. This suggests that novel SprG/SprF TA systems are involved in S. aureus persistence.

Toward Cell Type-Specific In Vivo Dual RNA-Seq

Dual RNA-seq has emerged as a genome-wide expression profiling technique, simultaneously measuring RNA transcript levels in a given host and its pathogen during an infection. Recently, the method was transferred from cell culture to in vivo models of bacterial infections; however, specific host cell-type resolution has not yet been achieved. Here we present a detailed protocol that describes the application of Dual RNA-seq to murine colonocytes isolated from mice infected with the enteric pathogen Salmonella Typhimurium. At day 5 after oral infection, the mice were humanely euthanized, their colons extracted, and colonocytes isolated and fixed. Upon antibody staining of cell type-specific surface markers, the fraction of Salmonella-invaded colonocytes was collected by fluorescence-activated cell sorting based on a fluorescent signal emitted by the internalized bacteria. Total RNA was extracted from cells enriched by this method, and ribosomal transcripts from host and microbial cells were removed prior to cDNA synthesis and library generation. We compared different protocols for library preparation and discuss their respective advantages and caveats when applied to minute RNA amounts that constitute an inherent challenge for in vivo transcriptomics. Our results introduce an ultralow input protocol that holds promise for cell type-specific in vivo Dual RNA-seq for charting gene expression of a bacterial pathogen within its respective in vivo niche, along with the consequent host response.