Evidence map›Paper›PMID 34520611›Full record

ArticlePlant biotechnology journal2022

Double-stranded RNA targeting fungal ergosterol biosynthesis pathway controls Botrytis cinerea and postharvest grey mould.

Danielle Duanis-Assaf, Ortal Galsurker, Olga Davydov, Dalia Maurer, Oleg Feygenberg, Moshe Sagi, Elena Poverenov, Robert Fluhr, Noam Alkan

Open access · goldAbstract read
In one paragraph

Article in Plant biotechnology journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
6.9field-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

30 citing papers in PubMed, 52 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Challenges and Opportunities Arising from Host-International journal of molecular sciences · 2024
    Review
  15. Review
  16. Review
  17. RNA-Based Control of Fungal Pathogens in Plants.International journal of molecular sciences · 2023
    Review
  18. Article
  19. Article
  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

9 authors at 4 institutions in 1 country.

Danielle Duanis-AssafDepartment of Postharvest Science of Fresh Produce, Agricultural Research Organization (ARO), Volcani Institute, Rishon LeZion, Israel.
Ortal GalsurkerDepartment of Postharvest Science of Fresh Produce, Agricultural Research Organization (ARO), Volcani Institute, Rishon LeZion, Israel.
Olga DavydovDepartment of Plant and Environmental Sciences, Weizmann Institute of Science, Rehovot, Israel.
Dalia MaurerDepartment of Postharvest Science of Fresh Produce, Agricultural Research Organization (ARO), Volcani Institute, Rishon LeZion, Israel.
Oleg FeygenbergDepartment of Postharvest Science of Fresh Produce, Agricultural Research Organization (ARO), Volcani Institute, Rishon LeZion, Israel.
Moshe SagiFrench Associates Institute for Agricultural and Biotechnology of Drylands, Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Beer Sheva, Israel.
Elena PoverenovDepartment of Food Science of Fresh Produce, Agricultural Research Organization (ARO), Volcani Institute, Rishon LeZion, Israel.
Robert FluhrDepartment of Plant and Environmental Sciences, Weizmann Institute of Science, Rehovot, Israel.
Noam AlkanDepartment of Postharvest Science of Fresh Produce, Agricultural Research Organization (ARO), Volcani Institute, Rishon LeZion, Israel.ORCID 0000-0001-7163-6514
Agricultural Research Organization · ILWeizmann Institute of Science · ILBen-Gurion University of the Negev · ILHebrew University of Jerusalem · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pathogenic fungi cause major postharvest losses. During storage and ripening, fruit becomes highly susceptible to fungi that cause postharvest disease. Fungicides are effective treatments to limit disease. However, due to increased public concern for their possible side effects, there is a need to develop new strategies to control postharvest fungal pathogens. Botrytis cinerea, a common postharvest pathogen, was shown to uptake small double-stranded RNA (dsRNA) molecules from the host plant. Such dsRNA can regulate gene expression through the RNA interference system. This work aimed to develop a synthetic dsRNA simultaneously targeting three essential transcripts active in the fungal ergosterol biosynthesis pathway (dsRNA-ERG). Our results show initial uptake of dsRNA in the emergence zone of the germination tube that spreads throughout the fungus and results in down-regulation of all three targeted transcripts. Application of dsRNA-ERG decreased B. cinerea germination and growth in in vitro conditions and various fruits, leading to reduce grey-mould decay. The inhibition of growth or decay was reversed by the addition of ergosterol. While dual treatment with dsRNA-ERG and ergosterol-inhibitor fungicide reduced by 100-fold the required amount of fungicide to achieve the same protection rate. The application of dsRNA-ERG induced systemic protection as shown by decreased decay development at inoculation points distant from the treatment point in tomato and pepper fruits. Overall, this study suggests that dsRNA-ERG can effectively control B. cinerea growth and grey-mould development suggesting its efficacy as a future method for postharvest control of fungal pathogens.

Indexed as

Plant DiseasesRNA, Double-StrandedBotrytisErgosterolErgosterolRNA, Double-StrandedBotrytis cinereadouble-stranded RNAergosterol biosynthesisgrey mouldpostharvest

Identifiers

PMID34520611
PMCPMC8710829
OpenAlexW3199199962

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.