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Preference of RIG-I for short viral RNA molecules in infected cells revealed by next-generation sequencing.

ABSTRACT: Intracellular detection of virus infections is a critical component of innate immunity carried out by molecules known as pathogen recognition receptors (PRRs). Activation of PRRs by their respective pathogen-associated molecular patterns (PAMPs) leads to production of proinflamatory cytokines, including type I IFN, and the establishment of an antiviral state in the host. Out of all PRRs found to date, retinoic acid inducible gene I (RIG-I) has been shown to play a key role in recognition of RNA viruses. On the basis of in vitro and transfection studies, 5'ppp RNA produced during virus replication is thought to bind and activate this important sensor. However, the nature of RNA molecules that interact with endogenous RIG-I during the course of viral infection has not been determined. In this work we use next-generation RNA sequencing to show that RIG-I preferentially associates with shorter, 5'ppp containing viral RNA molecules in infected cells. We found that during Sendai infection RIG-I specifically bound the genome of the defective interfering (DI) particle and did not bind the full-length virus genome or any other viral RNAs. In influenza-infected cells RIG-I preferentially associated with shorter genomic segments as well as subgenomic DI particles. Our analysis for the first time identifies RIG-I PAMPs under natural infection conditions and implies that full-length genomes of single segmented RNA virus families are not bound by RIG-I during infection.

SUBMITTER: Baum A

PROVIDER: S-EPMC2941304 | biostudies-literature | 2010 Sep

REPOSITORIES: biostudies-literature

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Preference of RIG-I for short viral RNA molecules in infected cells revealed by next-generation sequencing.

Baum Alina A Sachidanandam Ravi R García-Sastre Adolfo A

Proceedings of the National Academy of Sciences of the United States of America 20100830 37

Intracellular detection of virus infections is a critical component of innate immunity carried out by molecules known as pathogen recognition receptors (PRRs). Activation of PRRs by their respective pathogen-associated molecular patterns (PAMPs) leads to production of proinflamatory cytokines, including type I IFN, and the establishment of an antiviral state in the host. Out of all PRRs found to date, retinoic acid inducible gene I (RIG-I) has been shown to play a key role in recognition of RNA ...[more]

PMID: 20805493

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Project description:BackgroundAccurate identification of primary pathogens in foot infections remains challenging due to the diverse microbiome. Conventional culture may show false-positive or false-negative growth, leading to ineffective postoperative antibiotic treatment. Next-generation sequencing (NGS) has been explored as an alternative to standard culture in orthopedic infections. NGS is highly sensitive and can detect an entire bacterial genome along with genes conferring antibiotic resistance in a given sample. We investigated the potential use of NGS for accurate identification and quantification of microbes in infected diabetic foot ulcer (DFU). We hypothesize that NGS will aid identification of dominant pathogen and provide a more complete profile of microorganisms in infected DFUs compared to the standard culture method.MethodsData were prospectively collected from 30 infected DFU patients who underwent operative treatment by a fellowship-trained orthopedic foot and ankle surgeon from October 2018 to September 2019. The average age of the patient was 60.4 years. Operative procedures performed were irrigation and debridement (12), toe or ray amputation (13), calcanectomies (4), and below-the-knee amputation (1). Infected bone specimens were obtained intraoperatively and processed for standard culture and NGS. Concordance between the standard culture and NGS was assessed.ResultsIn 29 of 30 patients, pathogens were identified by both NGS and culture, with a concordance rate of 70%. In standard culture, Staphylococcus aureus (58.6%) was the most common pathogen, followed by coagulase-negative Staphylococcus (24.1%), Corynebacterium striatum (17.2%), and Enterococcus faecalis (17.2%). In NGS, Finegoldia magna (44.8%) was the most common microorganism followed by S. aureus (41.4%), and Anaerococcus vaginalis (24.1%). On average, NGS revealed 5.1 (range, 1-11) pathogens in a given sample, whereas culture revealed 2.6 (range, 1-6) pathogens.ConclusionNGS is an emerging molecular diagnostic method of microbial identification in orthopedic infection. It frequently provides different profiles of microorganisms along with antibiotic-resistant gene information compared to conventional culture in polymicrobial foot infection. Clinical use of NGS for management of foot and ankle infections warrants further investigation.Level of evidenceLevel II, diagnostic study.

Project description:BACKGROUND:When compared to Sanger sequencing technology, next-generation sequencing (NGS) technologies are hindered by shorter sequence read length, higher base-call error rate, non-uniform coverage, and platform-specific sequencing artifacts. These characteristics lower the quality of their downstream analyses, e.g. de novo and reference-based assembly, by introducing sequencing artifacts and errors that may contribute to incorrect interpretation of data. Although many tools have been developed for quality control and pre-processing of NGS data, none of them provide flexible and comprehensive trimming options in conjunction with parallel processing to expedite pre-processing of large NGS datasets. METHODS:We developed ngsShoRT (next-generation sequencing Short Reads Trimmer), a flexible and comprehensive open-source software package written in Perl that provides a set of algorithms commonly used for pre-processing NGS short read sequences. We compared the features and performance of ngsShoRT with existing tools: CutAdapt, NGS QC Toolkit and Trimmomatic. We also compared the effects of using pre-processed short read sequences generated by different algorithms on de novo and reference-based assembly for three different genomes: Caenorhabditis elegans, Saccharomyces cerevisiae S288c, and Escherichia coli O157 H7. RESULTS:Several combinations of ngsShoRT algorithms were tested on publicly available Illumina GA II, HiSeq 2000, and MiSeq eukaryotic and bacteria genomic short read sequences with the focus on removing sequencing artifacts and low-quality reads and/or bases. Our results show that across three organisms and three sequencing platforms, trimming improved the mean quality scores of trimmed sequences. Using trimmed sequences for de novo and reference-based assembly improved assembly quality as well as assembler performance. In general, ngsShoRT outperformed comparable trimming tools in terms of trimming speed and improvement of de novo and reference-based assembly as measured by assembly contiguity and correctness. CONCLUSIONS:Trimming of short read sequences can improve the quality of de novo and reference-based assembly and assembler performance. The parallel processing capability of ngsShoRT reduces trimming time and improves the memory efficiency when dealing with large datasets. We recommend combining sequencing artifacts removal, and quality score based read filtering and base trimming as the most consistent method for improving sequence quality and downstream assemblies. ngsShoRT source code, user guide and tutorial are available at http://research.bioinformatics.udel.edu/genomics/ngsShoRT/. ngsShoRT can be incorporated as a pre-processing step in genome and transcriptome assembly projects.

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Preference of RIG-I for short viral RNA molecules in infected cells revealed by next-generation sequencing.

Publications

Preference of RIG-I for short viral RNA molecules in infected cells revealed by next-generation sequencing.

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