Evidence map›Paper›PMID 28045942›Full record

ArticlePloS one2017

Knock down of Whitefly Gut Gene Expression and Mortality by Orally Delivered Gut Gene-Specific dsRNAs.

Meenal Vyas, Amir Raza, Muhammad Yousaf Ali, Muhammad Aleem Ashraf, Shahid Mansoor, Ahmad Ali Shahid, Judith K Brown

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

28 citing papers in PubMed, 62 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Two detoxification enzyme genes,Frontiers in physiology · 2024
    Article
  7. Article
  8. Article
  9. Effect of silencingFrontiers in plant science · 2023
    Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. Insects · 2021
    Review
  17. Target of rapamycin (Journal of biosciences · 2021
    Article
  18. Article
  19. Review
  20. Exploiting somatic piRNAs inLife science alliance · 2020
    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

7 authors at 3 institutions in 2 countries.

Meenal VyasSchool of Plant Sciences, University of Arizona, Tucson, Arizona, United States of America.
Amir RazaSchool of Plant Sciences, University of Arizona, Tucson, Arizona, United States of America.
Muhammad Yousaf AliSchool of Plant Sciences, University of Arizona, Tucson, Arizona, United States of America.
Muhammad Aleem AshrafCentre of Excellence in Molecular Biology (CEMB), University of Punjab, Lahore, Pakistan.
Shahid MansoorNational Institute for Biotechnology & Genetic Engineering (NIBGE), Faisalabad, Pakistan.
Ahmad Ali ShahidCentre of Excellence in Molecular Biology (CEMB), University of Punjab, Lahore, Pakistan.
Judith K BrownSchool of Plant Sciences, University of Arizona, Tucson, Arizona, United States of America.
University of Arizona · USCentre of Excellence in Molecular Biology · PKNational Institute for Biotechnology and Genetic Engineering · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Control of the whitefly Bemisia tabaci (Genn.) agricultural pest and plant virus vector relies on the use of chemical insecticides. RNA-interference (RNAi) is a homology-dependent innate immune response in eukaryotes, including insects, which results in degradation of the corresponding transcript following its recognition by a double-stranded RNA (dsRNA) that shares 100% sequence homology. In this study, six whitefly 'gut' genes were selected from an in silico-annotated transcriptome library constructed from the whitefly alimentary canal or 'gut' of the B biotype of B. tabaci, and tested for knock down efficacy, post-ingestion of dsRNAs that share 100% sequence homology to each respective gene target. Candidate genes were: Acetylcholine receptor subunit α, Alpha glucosidase 1, Aquaporin 1, Heat shock protein 70, Trehalase1, and Trehalose transporter1. The efficacy of RNAi knock down was further tested in a gene-specific functional bioassay, and mortality was recorded in 24 hr intervals, six days, post-treatment. Based on qPCR analysis, all six genes tested showed significantly reduced gene expression. Moderate-to-high whitefly mortality was associated with the down-regulation of osmoregulation, sugar metabolism and sugar transport-associated genes, demonstrating that whitefly survivability was linked with RNAi results. Silenced Acetylcholine receptor subunit α and Heat shock protein 70 genes showed an initial low whitefly mortality, however, following insecticide or high temperature treatments, respectively, significantly increased knockdown efficacy and death was observed, indicating enhanced post-knockdown sensitivity perhaps related to systemic silencing. The oral delivery of gut-specific dsRNAs, when combined with qPCR analysis of gene expression and a corresponding gene-specific bioassay that relates knockdown and mortality, offers a viable approach for functional genomics analysis and the discovery of prospective dsRNA biopesticide targets. The approach can be applied to functional genomics analyses to facilitate, species-specific dsRNA-mediated control of other non-model hemipterans.

Indexed as

Gene Expression RegulationRNA InterferenceAnimalsAnimals, Genetically ModifiedBiological AssayDNA PrimersGene LibraryGene SilencingHemipteraInsecticidesIntestinal MucosaPhenotypeReal-Time Polymerase Chain ReactionRNA, Double-StrandedSynaptic TransmissionTemperatureDNA PrimersInsecticidesRNA, Double-Stranded

Identifiers

PMID28045942
PMCPMC5207534
OpenAlexW2571162693

What OpenQuestion 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 OpenQuestion graph.