Evidence map›Paper›PMID 37569766›Full record

ReviewInternational journal of molecular sciences2023

RNA-Based Control of Fungal Pathogens in Plants.

Christopher W G Mann, Anne Sawyer, Donald M Gardiner, Neena Mitter, Bernard J Carroll, Andrew L Eamens

Open access · goldAbstract readReview
In one paragraph

Review 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 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
17.5field-weighted citation impact, top 1% 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

29 citing papers in PubMed, 44 citations in OpenAlex.

  1. Review
  2. Spray-Induced Gene Silencing (SIGS) of Dual-Target Genes (Journal of fungi (Basel, Switzerland) · 2026
    Article
  3. Review
  4. Targeted Suppression of the Tomato PathogenJournal of fungi (Basel, Switzerland) · 2026
    Article
  5. Advances in the Control of Plant Fungal Pathogens.Journal of fungi (Basel, Switzerland) · 2026
    Review
  6. Article
  7. Review
  8. Review
  9. Review
  10. Review
  11. Review
  12. Article
  13. RNA Interference in Fungal Plant Pathogens: What Do We Know fromJournal of fungi (Basel, Switzerland) · 2025
    Review
  14. Review
  15. Review
  16. Review
  17. Review
  18. Review
  19. Review
  20. Artificial miRNAs and target-mimics as potential tools for crop improvement.Physiology and molecular biology of plants : an international journal of functional plant biology · 2025
    Review
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

6 authors at 2 institutions in 1 country.

Christopher W G MannSchool of Chemistry and Molecular Biosciences, The University of Queensland, St. Lucia, QLD 4072, Australia.ORCID 0000-0001-8431-6317
Anne SawyerSchool of Chemistry and Molecular Biosciences, The University of Queensland, St. Lucia, QLD 4072, Australia.ORCID 0000-0002-8892-2098
Donald M GardinerQueensland Alliance for Agriculture and Food Innovation, The University of Queensland, St. Lucia, QLD 4072, Australia.ORCID 0000-0002-2162-8716
Neena MitterQueensland Alliance for Agriculture and Food Innovation, The University of Queensland, St. Lucia, QLD 4072, Australia.ORCID 0000-0001-6146-6179
Bernard J CarrollSchool of Chemistry and Molecular Biosciences, The University of Queensland, St. Lucia, QLD 4072, Australia.ORCID 0000-0002-1976-8269
Andrew L EamensSchool of Health, University of the Sunshine Coast, Maroochydore, QLD 4558, Australia.
The University of Queensland · AUUniversity of the Sunshine Coast · AU

Funding

Australian Research Council DP190103486Australian Research Council IH190100022
6 · The paper itself

Abstract

Our duty to conserve global natural ecosystems is increasingly in conflict with our need to feed an expanding population. The use of conventional pesticides not only damages the environment and vulnerable biodiversity but can also still fail to prevent crop losses of 20-40% due to pests and pathogens. There is a growing call for more ecologically sustainable pathogen control measures. RNA-based biopesticides offer an eco-friendly alternative to the use of conventional fungicides for crop protection. The genetic modification (GM) of crops remains controversial in many countries, though expression of transgenes inducing pathogen-specific RNA interference (RNAi) has been proven effective against many agronomically important fungal pathogens. The topical application of pathogen-specific RNAi-inducing sprays is a more responsive, GM-free approach to conventional RNAi transgene-based crop protection. The specific targeting of essential pathogen genes, the development of RNAi-nanoparticle carrier spray formulations, and the possible structural modifications to the RNA molecules themselves are crucial to the success of this novel technology. Here, we outline the current understanding of gene silencing pathways in plants and fungi and summarize the pioneering and recent work exploring RNA-based biopesticides for crop protection against fungal pathogens, with a focus on spray-induced gene silencing (SIGS). Further, we discuss factors that could affect the success of RNA-based control strategies, including RNA uptake, stability, amplification, and movement within and between the plant host and pathogen, as well as the cost and design of RNA pesticides.

Indexed as

Biological Control AgentsPesticidesCrops, AgriculturalEcosystemPlant DiseasesRNA InterferenceRNA, Small InterferingBiological Control AgentsPesticidesRNA, Small Interferingcrop protectioncross-kingdom RNAifungal pathogensgene silencinghost-induced gene silencing (HIGS)RNA carriersRNA interference (RNAi)spray-induced gene silencing (SIGS)topical RNAi

Identifiers

PMID37569766
PMCPMC10418863
OpenAlexW4385507101

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.