Evidence map›Paper›PMID 38261081›Full record

ArticleArchives of microbiology2024

Development of reverse transcription loop-mediated isothermal amplification (RT-LAMP) for rapid detection of viruses infecting patchouli (Pogostemon cablin).

Humaira Bano, Jawaid A Khan

Abstract read
PubMed Publisher
In one paragraph

Article in Archives of microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.2field-weighted citation impact, top 19% of its field
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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

2 authors at 1 institution in 1 country.

Humaira BanoPlant Virus Lab, Department of Biosciences, Jamia Millia Islamia (A Central University), New Delhi, 110025, India.
Jawaid A KhanPlant Virus Lab, Department of Biosciences, Jamia Millia Islamia (A Central University), New Delhi, 110025, India. jkhan1@jmi.ac.in.
Jamia Millia Islamia · IN

Funding

Department of Biotechnology (Government of India), New Delhi for financial grant to JAK BT/PR2293/BPA/118/126/2016
6 · The paper itself

Abstract

Patchouli (Pogostemon cablin), a highly valued medicinal plant, suffers significant economic losses following infection with Broad bean wilt virus 2 (BBWV-2) and Peanut stripe virus (PStV). In this study, a field-based isothermal technique called reverse transcription loop-mediated isothermal amplification (RT-LAMP) was established for an early and specific detection of BBWV-2 and PStV. The oligo primers were designed to target the coat protein genes of PStV and BBWV-2. The reaction conditions, such as temperature and time duration, were optimized to 65 °C for 60 min. The LAMP amplicons positive for PStV and BBWV-2 revealed characteristic ladder-type bands following agarose gel electrophoresis. Further, a colorimetric assay using a metal ion-based indicator (Hydroxy-naphthol blue, HNB) was conducted to visualize the amplified products with the naked eye, thus facilitating accessibility to field practices. The assay developed in this study was found to be virus specific, and was 100 times more sensitive than RT-PCR. Thus, the RT-LAMP assay established in this study is quick, reliable, and cost-effective for the accurate identification of BBWV-2 and PStV. It will facilitate the screening of patchouli planting materials.  Further, it may reduce the risk of virus spread and could be helpful in phytosanitary programs.

Indexed as

FabavirusMolecular Diagnostic TechniquesNucleic Acid Amplification TechniquesPogostemonPotyvirusReverse TranscriptionBBWV-2Hydroxy-naphthol blueIsothermal amplificationPStVRT-LAMP

Identifiers

PMID38261081
OpenAlexW4391143032

What OpenQuestion holds

Textmetadata
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.