Evidence map›Paper›PMID 35891944›Full record

ReviewSynthetic and systems biotechnology2022

The potential of plant proteins as antifungal agents for agricultural applications.

Tiffany Chiu, Theo Poucet, Yanran Li

Abstract readReview
In one paragraph

Review in Synthetic and systems biotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Advances in the Control of Plant Fungal Pathogens.Journal of fungi (Basel, Switzerland) · 2026
    Review
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. RmCP, a cerato-platanin protein fromFrontiers in microbiology · 2025
    Article
  9. Review
  10. Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Antifungal peptides from living organisms.Frontiers in microbiology · 2024
    Review
  17. Plant metabolism and synthetic biology.Synthetic and systems biotechnology · 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

3 authors.

Tiffany ChiuGraduate Program in Genetics, Genomics, And Bioinformatics, 1140 Batchelor Hall, University of California Riverside, California, 92521, USA.
Theo PoucetDepartment of Chemical and Environmental Engineering, University of California, Riverside, CA, 92521, USA.
Yanran LiDepartment of Chemical and Environmental Engineering, University of California, Riverside, CA, 92521, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fungal pathogens induce a variety of diseases in both plants and post-harvest food crops, resulting in significant crop losses for the agricultural industry. Although the usage of chemical-based fungicides is the most common way to control these diseases, they damage the environment, have the potential to harm human and animal life, and may lead to resistant fungal strains. Accordingly, there is an urgent need for diverse and effective agricultural fungicides that are environmentally- and eco-friendly. Plants have evolved various mechanisms in their innate immune system to defend against fungal pathogens, including soluble proteins secreted from plants with antifungal activities. These proteins can inhibit fungal growth and infection through a variety of mechanisms while exhibiting diverse functionality in addition to antifungal activity. In this mini review, we summarize and discuss the potential of using plant antifungal proteins for future agricultural applications from the perspective of bioengineering and biotechnology.

Identifiers

PMID35891944
PMCPMC9305310

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.