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Hybrid capture RNA-seq defines temporal gene expression in Rickettsia

ABSTRACT: Pathogenic Rickettsia species are obligate intracellular bacteria that must reside in a mammalian host or arthropod vector cell to survive. Although these bacteria transition between different intracellular environments during infection, they encode few putative transcription factors, and their gene regulatory networks are largely unknown. Because of their inextricable relationship with eukaryotic cells, transcriptional profiling of the pathogen is complicated by the abundance of contaminating host RNA, especially in infection conditions or stages where the bacterial burden is inherently low. Here, we employ a hybrid capture technique (PatH-Cap) to improve library preparation by enriching bacterial transcripts while depleting host and rRNA molecules. Using PatH-Cap, we explored transcriptional changes throughout the first 24 hours of infection, including infection initiation – an infection stage which has been difficult to profile with standard library preparation methods. We then clustered genes based on their temporal trends, revealing cohorts of genes whose expression is up- or downregulated at different stages of infection. We also highlighted the diverse temporal expression trends of genes with known roles in growth and pathogenesis, including translation and cell division genes, secreted effectors, and secretion system components. Lastly, we identified 310 antisense RNA molecules, many of which also showed strong temporal trends. This work demonstrates that sensitive transcriptional profiling approaches like PatH-Cap hold great promise for dissecting gene expression networks driving infection in intracellular pathogens that have historically posed significant technical challenges.

ORGANISM(S): Rickettsia parkeri str. Portsmouth

PROVIDER: GSE314162 | GEO | 2025/12/22

REPOSITORIES: GEO

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Project description:The objective of this study was to investigate which genes are important for Streptococcus pyogenes during intracellular survival in human macrophages. Streptococcus pyogenes is an important human pathogen, which has recently gained recognition as an intracellular microorganism during the course of severe invasive infections such as necrotizing fasciitis. Although the surface anchored M protein has been identified as a pivotal factor affecting phagosomal maturation and S. pyogenes survival within macrophages, the overall transcriptional profile required for the pathogen to adapt and persist intracellularly is yet unknown. To address this, gene expression profiles of S. pyogenes within human macrophages were determined and compared to those of extracellular bacteria using customized microarrays and real-time qRT-PCR. In order to model the early phase of infection involving adaptation to the intracellular compartment, samples were collected 2h post-infection and within 2 h post infection, the expression of 145 streptococcal genes was significantly altered in the intracellular environment. The majority of differentially regulated genes were associated with metabolic and energy-dependent processes. Key upregulated genes in early phase intracellular bacteria were ihk and irr, encoding a two-component gene regulatory system (TCS). We observed that an isogenic S. pyogenes mutant deficient in ihk/irr displayed significantly reduced bacterial counts as compared to wild-type bacteria following infection of macrophages. Comparison of gene expression of selected genes at 2h and 6h post-infection revealed a dramatic shift in response regulators over time with a down-regulation of ihk/irr genes concurrent with an upreguation of the well-studied covR/S two component regulator. In reinfection assays, intracellular bacteria from the 6h time point exhibited significantly greater survival within macrophages than did bacteria collected at the 2h time point. The findings illustrate how gene expression of S. pyogenes during the intracellular life cycle is fine-tuned by temporal expression of specific two-component systems.

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Hybrid capture RNA-seq defines temporal gene expression in Rickettsia

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