ArticleViruses2021
Citrus Tristeza Virus Genotype Detection Using High-Throughput Sequencing.
Article in Viruses, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed.
- Development of a double-monoclonal antibody sandwich ELISA for the detection of Citrus tristeza virus.Applied microbiology and biotechnology · 2026Article
- From reads to results: comparing Oxford Nanopore to Illumina sequencing for citrus virus surveillance.BMC genomics · 2026Article
- Evaluation of the influence of RNA extraction methods on the detection of citrus viruses and viroids.Virology journal · 2025Article
- Progress in Our Understanding of the Cross-Protection Mechanism of CTV-VT No-SY Isolates Against Homologous SY Isolates.Pathogens (Basel, Switzerland) · 2025Article
- Article
- Applying infectious clones and untargeted metabolite profiling to characterize citrus tristeza virus-induced stem pitting in citrus.Scientific reports · 2024Article
- Serological and Molecular Detection of Citrus Tristeza Virus: A Review.Microorganisms · 2024Review
- Reproducibility and Sensitivity of High-Throughput Sequencing (HTS)-Based Detection of Citrus Tristeza Virus and Three Citrus Viroids.Plants (Basel, Switzerland) · 2022Article
- Article
- Towards the validation of high-throughput sequencing (HTS) for routine plant virus diagnostics: measurement of variation linked to HTS detection of citrus viruses and viroids.Virology journal · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The application of high-throughput sequencing (HTS) has successfully been used for virus discovery to resolve disease etiology in many agricultural crops. The greatest advantage of HTS is that it can provide a complete viral status of a plant, including information on mixed infections of viral species or virus variants. This provides insight into the virus population structure, ecology, or evolution and can be used to differentiate among virus variants that may contribute differently toward disease etiology. In this study, the use of HTS for citrus tristeza virus (CTV) genotype detection was evaluated. A bioinformatic pipeline for CTV genotype detection was constructed and evaluated using simulated and real data sets to determine the parameters to discriminate between false positive read mappings and true genotype-specific genome coverage. A 50% genome coverage cut-off was identified for non-target read mappings. HTS with the associated bioinformatic pipeline was validated and proposed as a CTV genotyping assay.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.