Evidence map›Paper›PMID 36768834›Full record

ArticleInternational journal of molecular sciences2023

Development of Reverse Transcription Recombinase Polymerase Amplification (RT-RPA): A Methodology for Quick Diagnosis of Potato Leafroll Viral Disease in Potato.

Ravinder Kumar, Priyanka Kaundal, Rahul Kumar Tiwari, Milan Kumar Lal, Hema Kumari, Rakesh Kumar, Kailash Chandra Naga, Awadhesh Kumar, Brajesh Singh, Vinay Sagar and 1 more

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
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  3. Review
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  10. Article
  11. Identification of resistance toFrontiers in microbiology · 2023
    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

11 authors.

Ravinder KumarICAR-Central Potato Research Institute, Shimla 171001, Himachal Pradesh, India.ORCID 0000-0001-9034-7742
Priyanka KaundalICAR-Central Potato Research Institute, Shimla 171001, Himachal Pradesh, India.
Rahul Kumar TiwariICAR-Central Potato Research Institute, Shimla 171001, Himachal Pradesh, India.ORCID 0000-0001-7789-8144
Milan Kumar LalICAR-Central Potato Research Institute, Shimla 171001, Himachal Pradesh, India.ORCID 0000-0002-2442-9640
Hema KumariICAR-Central Potato Research Institute, Shimla 171001, Himachal Pradesh, India.
Rakesh KumarICAR-Central Potato Research Institute, Shimla 171001, Himachal Pradesh, India.ORCID 0000-0002-5191-078X
Kailash Chandra NagaICAR-Central Potato Research Institute, Shimla 171001, Himachal Pradesh, India.
Awadhesh KumarICAR-National Rice Research Institute, Cuttack 753006, Odisha, India.ORCID 0000-0002-4428-1030
Brajesh SinghICAR-Central Potato Research Institute, Shimla 171001, Himachal Pradesh, India.
Vinay SagarICAR-Central Potato Research Institute, Shimla 171001, Himachal Pradesh, India.
Sanjeev SharmaICAR-Central Potato Research Institute, Shimla 171001, Himachal Pradesh, India.ORCID 0000-0002-0446-2304

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Potatoes are developed vegetatively from tubers, and therefore potato virus transmission is always a possibility. The potato leafroll virus (PLRV) is a highly devastating virus of the genus Polerovirus and family Luteoviridae and is regarded as the second-most destructive virus after Potato virus Y. Multiple species of aphids are responsible for the persistent and non-propagating transmission of PLRV. Due to intrinsic tuber damage (net necrosis), the yield and quality are drastically diminished. PLRV is mostly found in phloem cells and in extremely low amounts. Therefore, we have attempted to detect PLRV in both potato tuber and leaves using a highly sensitive, reliable and cheap method of one-step reverse transcription-recombinase polymerase amplification (RT-RPA). In this study, an isothermal amplification and detection approach was used for efficient results. Out of the three tested primer sets, one efficiently amplified a 153-bp product based on the coat protein gene. In the present study, there was no cross-reactivity with other potato viruses and the optimal amplification reaction time was thirty minutes. The products of RT-RPA were amplified at a temperature between 38 and 42 °C using a simple heating block/water bath. The present developed protocol of one-step RT-RPA was reported to be highly sensitive for both leaves and tuber tissues equally in comparison to the conventional reverse transcription-polymerase chain reaction (RT-PCR) method. By using template RNA extracted employing a cellular disc paper-based extraction procedure, the method was not only simplified but it detected the virus as effectively as purified total RNA. The simplified one-step RT-RPA test was proven to be successful by detecting PLRV in 129 samples of various potato cultivars (each consisting of leaves and tubers). According to our knowledge, this is the first report of a one-step RT-RPA performed using simple RNA extracted from cellular disc paper that is equally sensitive and specific for detecting PLRV in potatoes. In terms of versatility, durability and the freedom of a highly purified RNA template, the one-step RT-RPA assay exceeds the RT-PCR assay, making it an effective alternative for the certification of planting materials, breeding for virus resistance and disease monitoring.

Indexed as

LuteoviridaeSolanum tuberosumVirus DiseasesNucleotidyltransferasesPlant BreedingRecombinasesReverse TranscriptionRNANucleotidyltransferasesRecombinasesRNADAS-ELISAisothermalPLRVpotatoRT-PCRRT-RPAsensitivitysimple RNA extract

Identifiers

PMID36768834
PMCPMC9916786

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.