The Gram-negative Epsilonproteobacterium Campylobacter jejuni is currently the most prevalent bacterial foodborne pathogen. Like for many other human pathogens, infection studies with C. jejuni mainly employ artificial animal or cell culture models that can be limited in their ability to reflect the in-vivo environment within the human host. Here, we report the development and application of a human three-dimensional (3D) infection model based on tissue engineering to study host-pathogen interactions. Our intestinal 3D tissue model is built on a decellularized extracellular matrix scaffold, which is reseeded with human Caco-2 cells. Dynamic culture conditions enable the formation of a polarized mucosal epithelial barrier reminiscent of the 3D microarchitecture of the human small intestine. Infection with C. jejuni demonstrates that the 3D tissue model can reveal isolate-dependent colonization and barrier disruption phenotypes accompanied by perturbed localization of cell-cell junctions. Pathogenesis-related phenotypes of C. jejuni mutant strains in the 3D model deviated from those obtained with 2D-monolayers, but recapitulated phenotypes previously observed in animal models. Moreover, we demonstrate the involvement of a small regulatory RNA pair, CJnc180/190, during infections and observe different phenotypes of CJnc180/190 mutant strains in 2D vs. 3D infection models. Hereby, the CJnc190 sRNA exerts its pathogenic influence, at least in part, via repression of PtmG, which is involved in flagellin modification. Our results suggest that the Caco-2 cell-based 3D tissue model is a valuable and biologically relevant tool between in-vitro and in-vivo infection models to study virulence of C. jejuni and other gastrointestinal pathogens.

The monoclonal antibody S9.6 is a widely-used tool to purify, analyse and quantify R-loop structures in cells. A previous study using the surface plasmon resonance technology and a single-chain variable fragment (scFv) of S9.6 showed high affinity (0.6 nM) for DNA—RNA and also a high affinity (2.7 nM) for RNA—RNA hybrids. We used the microscale thermophoresis method allowing surface independent interaction studies and electromobility shift assays to evaluate additional RNA-DNA hybrid sequences and to quantify the binding affinities of the S9.6 antibody with respect to distinct sequences and their GC-content. Our results confirm high affinity binding to previously analysed sequences, but reveals that binding affinities are highly sequence specific. Our study presents R-loop sequences that independent of GC-content and in different sequence variations exhibit either no binding, binding affinities in the micromolar range and as well high affinity binding in the nanomolar range. Our study questions the usefulness of the S9.6 antibody in the quantitative analysis of R-loop sequences in vivo.

Capturing an individual cell’s transcriptional history is a challenge exacerbated by the functional heterogeneity of cellular communities. Here, we leverage reprogrammed tracrRNAs (Rptrs) to record selected cellular transcripts as stored DNA edits in single living bacterial cells. Rptrs are designed to base pair with sensed transcripts, converting them into guide RNAs. The guide RNAs then direct a Cas9 base editor to target an introduced DNA target. The extent of base editing can then be read in the future by sequencing. We use this approach, called TIGER (transcribed RNAs inferred by genetically encoded records), to record heterologous and endogenous transcripts in individual bacterial cells. TIGER can quantify relative expression, distinguish single-nucleotide differences, record multiple transcripts simultaneously and read out single-cell phenomena. We further apply TIGER to record metabolic bet hedging and antibiotic resistance mobilization in Escherichia coli as well as host cell invasion by Salmonella. Through RNA recording, TIGER connects current cellular states with past transcriptional states to decipher complex cellular responses in single cells.

Like for many enteric bacteria, flagella are a crucial virulence factor for the foodborne pathogenCampylobacter jejuni, allowing the bacteria to move through the viscous mucus of the human intestine. Assembly of the complex flagellar machinery and filament requires hierarchical regulation via transcriptional control of each component. InC. jejuni, class I genes are transcribed from σ70-dependent promoters and class II/III genes with the help of the alternative sigma factors RpoN (σ54) and FliA (σ28). In contrast to transcriptional control, less is known about post-transcriptional regulation of flagellar biosynthesis cascades via small regulatory RNAs (sRNAs). Here, we characterized two sRNAs with opposing effects on the cascade that fine-tuneC. jejuniflagellar filament assembly and thereby impact motility. We demonstrate that the highly conservedCampylobactersRNA CJnc230 (FlmE, flagellar length and motility enhancer), encoded downstream of the flagellar hook structural protein FlgE, is dependent on RpoN and that RNase III processes CJnc230 from theflgEmRNA, while RNase Y and PNPase mature its 3' end. We identify mRNAs encoding a regulator of flagella-flagella interactions and the anti-σ28factor FlgM as direct targets of CJnc230 repression. Overexpression of CJnc230 de-represses FliA activity and upregulates class III flagellar genes, such as the major flagellinflaA, culminating in longer flagella and increased motility. In contrast, overexpression of the FliA-dependent sRNA CJnc170 (FlmR, flagellar length and motility repressor) reduces flagellar length and motility. Overall, our study demonstrates sRNA-mediated post-transcriptional regulation fine-tunesC. jejuniflagellar biosynthesis through balancing of the hierarchically expressed components.