Dataset Information

Development of a Standardized Sanger-Based Method for Partial Sequencing and Genotyping of Dengue Viruses.

ABSTRACT: The global expansion of dengue viruses (DENV-1 to DENV-4) has contributed to the divergence, transmission, and establishment of genetic lineages of epidemiological concern; however, tracking the phylogenetic relationships of these virus is not always possible due to the inability of standardized sequencing procedures in resource-limited public health laboratories. Consequently, public genomic data banks contain inadequate representation of geographical regions and historical periods. In order to improve detection of the DENV-1 to DENV-4 lineages, we report the development of a serotype-specific Sanger-based method standardized to sequence DENV-1 to DENV-4 directly from clinical samples using universal primers that detect most DENV genotypes. The resulting envelope protein coding sequences are analyzed for genotyping with phylogenetic methods. We evaluated the performance of this method by detecting, amplifying, and sequencing 54 contemporary DENV isolates, including 29 clinical samples, representing a variety of genotypes of epidemiological importance and global presence. All specimens were sequenced successfully and phylogenetic reconstructions resulted in the expected genotype classification. To further improve genomic surveillance in regions where dengue is endemic, this method was transferred to 16 public health laboratories in 13 Latin American countries, to date. Our objective is to provide an accessible method that facilitates the integration of genomics with dengue surveillance.

SUBMITTER: Santiago GA

PROVIDER: S-EPMC6440776 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature

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Development of a Standardized Sanger-Based Method for Partial Sequencing and Genotyping of Dengue Viruses.

Santiago Gilberto A GA González Glenda L GL Cruz-López Fabiola F Muñoz-Jordan Jorge L JL

Journal of clinical microbiology 20190328 4

The global expansion of dengue viruses (DENV-1 to DENV-4) has contributed to the divergence, transmission, and establishment of genetic lineages of epidemiological concern; however, tracking the phylogenetic relationships of these virus is not always possible due to the inability of standardized sequencing procedures in resource-limited public health laboratories. Consequently, public genomic data banks contain inadequate representation of geographical regions and historical periods. In order to ...[more]

PMID: 30760533

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Project description:BackgroundHIV genotyping has had a significant impact on the care and treatment of HIV/AIDS. At a clinical level, the test guides physicians on the choice of treatment regimens. At the surveillance level, it informs policy on consolidated treatment guidelines and microbial resistance control strategies. Until recently, the conventional test has utilized the Sanger sequencing (SS) method. Unlike Next Generation Sequencing (NGS), SS is limited by low data throughput and the inability of detecting low abundant drug-resistant variants. NGS can improve sensitivity and quantitatively identify low-abundance variants; in addition, it has the potential to improve efficiency as well as lowering costs when samples are batched. Despite the NGS benefits, its utilization in clinical drug resistance profiling is faced with mixed reactions. These are largely based on a lack of a consensus regarding the quality control strategy. Nonetheless, transitional views suggest validating the method against the gold-standard SS. Therefore, we present a validation report of an NGS-based in-house HIV genotyping method against the SS method in Uganda.ResultsSince there were no established proficiency test panels for NGS-based HIV genotyping, 15 clinical plasma samples for routine care were utilized. The use of clinical samples allowed for accuracy and precision studies. The workflow involved four main steps; viral RNA extraction, targeted amplicon generation, amplicon sequencing and data analysis. Accuracy of 98% with an average percentage error of 3% was reported for the NGS based assay against the SS platform demonstrating similar performance. The coefficient of variation (CV) findings for both the inter-run and inter-personnel precision showed no variability (CV ≤ 0%) at the relative abundance of ≥ 20%. For both inter-run and inter-personnel, a variation that affected the precision was observed at 1% frequency. Overall, for all the frequencies, CV registered a small range of (0-2%).ConclusionThe NGS-based in-house HIV genotyping method fulfilled the minimum requirements that support its utilization for drug resistance profiling in a clinical setting of a low-income country. For more inclusive quality control studies, well-characterized wet panels need to be established.

Project description:Dengue virus (DENV) represents a public health threat and economic burden in affected countries. The availability of genomic data is key to understanding viral evolution and dynamics, supporting improved control strategies. Currently, the use of high-throughput sequencing (HTS) technologies, which can be applied both directly to patient samples (shotgun metagenomics) and to PCR-amplified viral sequences (amplicon sequencing), is potentially the most informative approach to monitor viral dissemination and genetic diversity by providing, in a single methodological step, identification and characterization of the whole viral genome at the nucleotide level. Despite many advantages, these technologies require bioinformatics expertise and appropriate infrastructure for the analysis and interpretation of the resulting data. In addition, the many software solutions available can hamper the reproducibility and comparison of results. Here we present DEN-IM, a one-stop, user-friendly, containerized and reproducible workflow for the analysis of DENV short-read sequencing data from both amplicon and shotgun metagenomics approaches. It is able to infer the DENV coding sequence (CDS), identify the serotype and genotype, and generate a phylogenetic tree. It can easily be run on any UNIX-like system, from local machines to high-performance computing clusters, performing a comprehensive analysis without the requirement for extensive bioinformatics expertise. Using DEN-IM, we successfully analysed two types of DENV datasets. The first comprised 25 shotgun metagenomic sequencing samples from patients with variable serotypes and genotypes, including an in vitro spiked sample containing the four known serotypes. The second consisted of 106 paired-end and 76 single-end amplicon sequences of DENV 3 genotype III and DENV 1 genotype I, respectively, where DEN-IM allowed detection of the intra-genotype diversity. The DEN-IM workflow, parameters and execution configuration files, and documentation are freely available at https://github.com/B-UMMI/DEN-IM).

Dataset Information

Development of a Standardized Sanger-Based Method for Partial Sequencing and Genotyping of Dengue Viruses.

Publications

Development of a Standardized Sanger-Based Method for Partial Sequencing and Genotyping of Dengue Viruses.

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