Evidence map›Paper›PMID 35893644›Full record

ArticlePlants (Basel, Switzerland)2022

Reproducibility and Sensitivity of High-Throughput Sequencing (HTS)-Based Detection of Citrus Tristeza Virus and Three Citrus Viroids.

Rachelle Bester, Chanel Steyn, Johannes H J Breytenbach, Rochelle de Bruyn, Glynnis Cook, Hans J Maree

Abstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Rachelle BesterCitrus Research International, P.O. Box 2201, Matieland 7602, South Africa.ORCID 0000-0002-2226-0968
Chanel SteynCitrus Research International, P.O. Box 28, Nelspruit 1200, South Africa.
Johannes H J BreytenbachCitrus Research International, P.O. Box 28, Nelspruit 1200, South Africa.
Rochelle de BruynDepartment of Genetics, Stellenbosch University, Private Bag X1, Matieland 7602, South Africa.
Glynnis CookCitrus Research International, P.O. Box 28, Nelspruit 1200, South Africa.ORCID 0000-0003-1702-479X
Hans J MareeCitrus Research International, P.O. Box 2201, Matieland 7602, South Africa.

Funding

Citrus Research International 1241
6 · The paper itself

Abstract

The credibility of a pathogen detection assay is measured using specific parameters including repeatability, specificity, sensitivity, and reproducibility. The use of high-throughput sequencing (HTS) as a routine detection assay for viruses and viroids in citrus was previously evaluated and, in this study, the reproducibility and sensitivity of the HTS assay were assessed. To evaluate the reproducibility of HTS, the same plants assayed in a previous study were sampled again, one year later, and assessed in triplicate using the same analyses to construct the virome profile. The sensitivity of the HTS assay was compared to routinely used RT-PCR assays in a time course experiment, to compensate for natural pathogen accumulation in plants over time. The HTS pipeline applied in this study produced reproducible and comparable results to standard RT-PCR assays for the detection of CTV and three viroid species in citrus. Even though the limit of detection of HTS can be influenced by pathogen concentration, sample processing method and sequencing depth, detection with HTS was found to be either equivalent or more sensitive than RT-PCR in this study.

Indexed as

CDVdCEVdcitrus dwarfing viroidcitrus exocortis viroidCTVhop stunt viroidHSVdnext-generation sequencingrepeatabilityspecificity

Identifiers

PMID35893644
PMCPMC9330035

What OpenQuestion holds

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Registered trials

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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.