Evidence map›Paper›PMID 38797547›Full record

ArticleJournal, genetic engineering & biotechnology2024

Validation and optimization of the loop-mediated isothermal amplification (LAMP) technique for rapid detection of wheat stripe mosaic virus, a wheat-infecting pathogen.

Anderson Varela de Andrade, Fernando Sartori Pereira, Fabio Nascimento da Silva, Gustavo Felippe da Silva, Maria de Lourdes Borba Magalhães

Abstract read
In one paragraph

Article in Journal, genetic engineering & biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Anderson Varela de AndradeUniversidade do Estado de Santa Catarina, Lages, SC, Brazil.
Fernando Sartori PereiraUniversidade do Estado de Santa Catarina, Lages, SC, Brazil.
Fabio Nascimento da SilvaUniversidade do Estado de Santa Catarina, Lages, SC, Brazil.
Gustavo Felippe da SilvaUniversidade do Estado de Santa Catarina, Lages, SC, Brazil. Electronic address: gustavo.silva@udesc.br.
Maria de Lourdes Borba MagalhãesUniversidade do Estado de Santa Catarina, Lages, SC, Brazil. Electronic address: maria.magalhaes@udesc.br.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWheat stripe mosaic virus (WhSMV) is a significant wheat pathogen that causes substantial yield losses in Brazil and other countries. Although several detection methods are available, reliable and efficient tools for on-site WhSMV detection are currently lacking. In this study, a Loop-Mediated Isothermal Amplification (LAMP) method was developed for rapid and reliable field detection of WhSMV. We designed WhSMV-specific primers for the LAMP assay and optimized reaction conditions for increased sensitivity and specificity using infected plant samples.

resultsWe have developed a diagnostic method utilizing the Loop-Mediated Isothermal Amplification (LAMP) technique capable of rapidly and reliably detecting WhSMV. The LAMP assay has been optimized to enhance sensitivity, specificity, and cost-effectiveness.

conclusionThe LAMP assay described here represents a valuable tool for early WhSMV detection, serving to mitigate the adverse economic and social impacts of this viral pathogen. By enabling swift and accurate identification, this assay can significantly improve the sustainability of cereal production systems, safeguarding crop yields against the detrimental effects of WhSMV.

Indexed as

LAMPRT-LAMPWheatWhSMV

Identifiers

PMID38797547
PMCPMC10997836

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.