Evidence map›Paper›PMID 28315718›Full record

ArticleJournal of virological methods2017

Absolute quantification of cassava brown streak virus mRNA by real-time qPCR.

Rudolph R Shirima, Daniel G Maeda, Edward Kanju, Gloria Ceasar, Flora I Tibazarwa, James P Legg

Abstract read
In one paragraph

Article in Journal of virological methods, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Electrochemical lateral flow assay with ELISA-level performance for detecting plant diseases in East Africa.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  19. Synergistic Effects of aFrontiers in plant science · 2021
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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.

Rudolph R ShirimaInternational Institute of Tropical Agriculture, P. O. Box 34441, Dar es Salaam, Tanzania; University of Dar es Salaam, P.O. Box 35179, Dar es Salaam, Tanzania. Electronic address: r.shirima@cgiar.org.
Daniel G MaedaUniversity of Dar es Salaam, P.O. Box 35179, Dar es Salaam, Tanzania.
Edward KanjuInternational Institute of Tropical Agriculture, P. O. Box 34441, Dar es Salaam, Tanzania.
Gloria CeasarInternational Institute of Tropical Agriculture, P. O. Box 34441, Dar es Salaam, Tanzania.
Flora I TibazarwaTanzania Commission for Science and Technology, P.O. Box 4302, Dar es Salaam, Tanzania.
James P LeggInternational Institute of Tropical Agriculture, P. O. Box 34441, Dar es Salaam, Tanzania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cassava brown streak disease (CBSD) is the most important virus disease of cassava and a major food security threat in Africa. Yearly economic losses of up to $100 million USD have been attributed to CBSD. The lack of information on plant-virus interactions has restricted progress in breeding for CBSD resistance. Virus quantification is becoming a major tool for the quick and reliable assessment of plant host resistance. Therefore, a protocol for specific absolute quantification of Cassava brown streak virus (CBSV) and Ugandan cassava brown streak virus (UCBSV) was developed. CBSV and UCBSV coat protein (CP) specific standard templates: CBSV (pFer2, 826bp) and UCBSV (pUF1-R1-1, 732) respectively were generated and maintained in a TA cloning vector. These were used to construct standard curves using a TaqMan qPCR assay. Standard curves with acceptable amplification efficiencies (90-105%) and coefficients of determination (R

Indexed as

AfricaGenetic VectorsManihotPotyviridaeReal-Time Polymerase Chain ReactionRNA, MessengerRNA, ViralViral LoadRNA, MessengerRNA, ViralAbsolute quantificationCBSDCBSVUCBSVVirus titre

Identifiers

PMID28315718
PMCPMC5429390

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.