Evidence map›Paper›PMID 36524052›Full record

ReviewFrontiers in bioengineering and biotechnology2022

RNAi-based pest control: Production, application and the fate of dsRNA.

Li He, Yanna Huang, Xueming Tang

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in bioengineering and biotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
6.8field-weighted citation impact, top 2% 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

42 citing papers in PubMed, 86 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Spray-Induced Gene Silencing (SIGS) of Dual-Target Genes (Journal of fungi (Basel, Switzerland) · 2026
    Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Review
  10. Review
  11. Review
  12. Review
  13. Norroa™ as a dsRNA biopesticide forFrontiers in insect science · 2026
    Review
  14. Improving RNAi in the fall armyworm,Frontiers in insect science · 2026
    Article
  15. Article
  16. Review
  17. Article
  18. Disruption ofVirulence · 2025
    Article
  19. Review
  20. 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

3 authors at 2 institutions in 1 country.

Li HeSchool of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China.
Yanna HuangSchool of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China.
Xueming TangSchool of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China.
Shanghai Jiao Tong University · CNMinistry of Agriculture and Rural Affairs · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The limitations of conventional pesticides have raised the demand for innovative and sustainable solutions for plant protection. RNA Interference (RNAi) triggered by dsRNA has evolved as a promising strategy to control insects in a species-specific manner. In this context, we review the methods for mass production of dsRNA, the approaches of exogenous application of dsRNA in the field, and the fate of dsRNA after application. Additionally, we describe the opportunities and challenges of using nanoparticles as dsRNA carriers to control insects. Furthermore, we provide future directions to improve pest management efficiency by utilizing the synergistic effects of multiple target genes. Meanwhile, the establishment of a standardized framework for assessment and regulatory consensus is critical to the commercialization of RNA pesticides.

Indexed as

dsRNA fateexogenous applicationmass productionnanoparticlesregulatory frameworkRNA pesticidessynergistic effect

Identifiers

PMID36524052
PMCPMC9744970
OpenAlexW4310168948

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.