ArticleBMC genomics2020
Comparative transcriptomic analysis of Rickettsia conorii during in vitro infection of human and tick host cells.
Article in BMC genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.
- Genomic evolution and adaptation of arthropod-associated Rickettsia.Scientific reports · 2022Pooled it
- Adaptation ofmSphere · 2026Article
- Article
- Hybrid capture RNA-seq defines temporal gene expression inbioRxiv : the preprint server for biology · 2026Article
- Cappable-Seq reveals the transcriptional landscape of stress responses in the bacterial endosymbiontMicrobial genomics · 2025Article
- Cell-selective proteomics reveal novel effectors secreted by an obligate intracellular bacterial pathogen.Nature communications · 2024Article
- PathogenicJournal of bacteriology · 2024Review
- A Small Non-Coding RNA Mediates Transcript Stability and Expression of Cytochrome bd Ubiquinol Oxidase Subunit I inInternational journal of molecular sciences · 2023Article
- Persistence of obligate intracellular pathogens: alternative strategies to overcome host-specific stresses.Frontiers in cellular and infection microbiology · 2023Review
- Pathogenicity and virulence ofVirulence · 2022Review
- Sensing the Messenger: Potential Roles of Cyclic-di-GMP in Rickettsial Pathogenesis.International journal of molecular sciences · 2022Article
Corrections and comments
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
Abstract
backgroundPathogenic Rickettsia species belonging to the spotted fever group are arthropod-borne, obligate intracellular bacteria which exhibit preferential tropism for host microvascular endothelium in the mammalian hosts, resulting in disease manifestations attributed primarily to endothelial damage or dysfunction. Although rickettsiae are known to undergo evolution through genomic reduction, the mechanisms by which these pathogens regulate their transcriptome to ensure survival in tick vectors and maintenance by transovarial/transstadial transmission, in contrast to their ability to cause debilitating infections in human hosts remain unknown. In this study, we compare the expression profiles of rickettsial sRNAome/transcriptome and determine the transcriptional start sites (TSSs) of R. conorii transcripts during in vitro infection of human and tick host cells.
resultsWe performed deep sequencing on total RNA from Amblyomma americanum AAE2 cells and human microvascular endothelial cells (HMECs) infected with R. conorii. Strand-specific RNA sequencing of R. conorii transcripts revealed the expression 32 small RNAs (Rc_sR's), which were preferentially expressed above the limit of detection during tick cell infection, and confirmed the expression of Rc_sR61, sR71, and sR74 by quantitative RT-PCR. Intriguingly, a total of 305 and 132 R. conorii coding genes were differentially upregulated (> 2-fold) in AAE2 cells and HMECs, respectively. Further, enrichment for primary transcripts by treatment with Terminator 5'-Phosphate-dependent Exonuclease resulted in the identification of 3903 and 2555 transcription start sites (TSSs), including 214 and 181 primary TSSs in R. conorii during the infection to tick and human host cells, respectively. Seventy-five coding genes exhibited different TSSs depending on the host environment. Finally, we also observed differential expression of 6S RNA during host-pathogen and vector-pathogen interactions in vitro, implicating an important role for this noncoding RNA in the regulation of rickettsial transcriptome depending on the supportive host niche.
conclusionsIn sum, the findings of this study authenticate the presence of novel Rc_sR's in R. conorii, reveal the first evidence for differential expression of coding transcripts and utilization of alternate transcriptional start sites depending on the host niche, and implicate a role for 6S RNA in the regulation of coding transcriptome during tripartite host-pathogen-vector interactions.
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