<HashMap><database>biostudies-literature</database><scores><citationCount>0</citationCount><reanalysisCount>0</reanalysisCount><viewCount>51</viewCount><searchCount>0</searchCount></scores><additional><submitter>Mika-Gospodorz B</submitter><funding>University of Oxford Medical Sciences Division Medical Research Fund</funding><funding>Royal Society</funding><pagination>3363</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC7335160</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>11(1)</volume><pubmed_abstract>Studying emerging or neglected pathogens is often challenging due to insufficient information and absence of genetic tools. Dual RNA-seq provides insights into host-pathogen interactions, and is particularly informative for intracellular organisms. Here we apply dual RNA-seq to Orientia tsutsugamushi (Ot), an obligate intracellular bacterium that causes the vector-borne human disease scrub typhus. Half the Ot genome is composed of repetitive DNA, and there is minimal collinearity in gene order between strains. Integrating RNA-seq, comparative genomics, proteomics, and machine learning to study the transcriptional architecture of Ot, we find evidence for wide-spread post-transcriptional antisense regulation. Comparing the host response to two clinical isolates, we identify distinct immune response networks for each strain, leading to predictions of relative virulence that are validated in a mouse infection model. Thus, dual RNA-seq can provide insight into the biology and host-pathogen interactions of a poorly characterized and genetically intractable organism such as Ot.</pubmed_abstract><journal>Nature communications</journal><pubmed_title>Dual RNA-seq of Orientia tsutsugamushi informs on host-pathogen interactions for this neglected intracellular human pathogen.</pubmed_title><pmcid>PMC7335160</pmcid><funding_grant_id>DH140154</funding_grant_id><pubmed_authors>Vogel J</pubmed_authors><pubmed_authors>Mika-Gospodorz B</pubmed_authors><pubmed_authors>Giengkam S</pubmed_authors><pubmed_authors>Chuenklin S</pubmed_authors><pubmed_authors>Sobota RM</pubmed_authors><pubmed_authors>Subbian S</pubmed_authors><pubmed_authors>Westermann AJ</pubmed_authors><pubmed_authors>Salje J</pubmed_authors><pubmed_authors>Kion-Crosby W</pubmed_authors><pubmed_authors>Wang LC</pubmed_authors><pubmed_authors>Barquist L</pubmed_authors><pubmed_authors>Sunyakumthorn P</pubmed_authors><pubmed_authors>Wongsantichon J</pubmed_authors><view_count>51</view_count></additional><is_claimable>false</is_claimable><name>Dual RNA-seq of Orientia tsutsugamushi informs on host-pathogen interactions for this neglected intracellular human pathogen.</name><description>Studying emerging or neglected pathogens is often challenging due to insufficient information and absence of genetic tools. Dual RNA-seq provides insights into host-pathogen interactions, and is particularly informative for intracellular organisms. Here we apply dual RNA-seq to Orientia tsutsugamushi (Ot), an obligate intracellular bacterium that causes the vector-borne human disease scrub typhus. Half the Ot genome is composed of repetitive DNA, and there is minimal collinearity in gene order between strains. Integrating RNA-seq, comparative genomics, proteomics, and machine learning to study the transcriptional architecture of Ot, we find evidence for wide-spread post-transcriptional antisense regulation. Comparing the host response to two clinical isolates, we identify distinct immune response networks for each strain, leading to predictions of relative virulence that are validated in a mouse infection model. Thus, dual RNA-seq can provide insight into the biology and host-pathogen interactions of a poorly characterized and genetically intractable organism such as Ot.</description><dates><release>2020-01-01T00:00:00Z</release><publication>2020 Jul</publication><modification>2024-11-12T22:41:24.786Z</modification><creation>2021-02-21T05:00:39Z</creation></dates><accession>S-EPMC7335160</accession><cross_references><pubmed>32620750</pubmed><doi>10.1038/s41467-020-17094-8</doi></cross_references></HashMap>