Evidence map›Paper›PMID 36139841›Full record

ArticleAntioxidants (Basel, Switzerland)2022

Antifungal Peptide P852 Controls Fusarium Wilt in Faba Bean (

Chaowen Zhang, Xuan Ou, Jingyi Wang, Zhaoling Wang, Wenting Du, Jianjun Zhao, Yuzhu Han

Open access · goldAbstract read
In one paragraph

Article in Antioxidants (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
4.4field-weighted citation impact, top 6% 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

14 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
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  12. Cyclic Lipopeptides ofJournal of fungi (Basel, Switzerland) · 2023
    Article
  13. Article
  14. 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 1 institution in 1 country.

Chaowen ZhangCollege of Animal Science and Technology, Southwest University, Chongqing 402460, China.
Xuan OuCollege of Animal Science and Technology, Southwest University, Chongqing 402460, China.
Jingyi WangCollege of Animal Science and Technology, Southwest University, Chongqing 402460, China.
Zhaoling WangCollege of Animal Science and Technology, Southwest University, Chongqing 402460, China.
Wenting DuChongqing Engineering Research Center of Floriculture, Chongqing 400715, China.
Jianjun ZhaoCollege of Animal Science and Technology, Southwest University, Chongqing 402460, China.ORCID 0000-0002-2905-2029
Yuzhu HanCollege of Animal Science and Technology, Southwest University, Chongqing 402460, China.ORCID 0000-0001-5517-8306
Southwest University · CN

Funding

Chongqing Natural Science Foundation cstc2021jcyj-msxmX1021Fundamental Research Funds for the Central Universities XDJK2020B015National Natural Science Foundation of China 31901929National Training Program of Innovation and Entrepreneurship for Undergraduates 202210635075South-west University Training Program of Innovation and Entrepreneurship for Undergraduates. X202210635316S
6 · The paper itself

Abstract

Green pesticides are highly desirable, as they are environmentally friendly and efficient. In this study, the antifungal peptide P852 was employed to suppress Fusarium wilt in the Faba bean. The disease index and a range of physiological and metabolomic analyses were performed to explore the interactions between P852 and the fungal disease. The incidence and disease index of Fusarium wilt were substantially decreased in diseased Faba beans that were treated with two different concentrations of P852 in both the climate chamber and field trial. For the first time, P852 exhibited potent antifungal effects on

Indexed as

antifungal peptideantioxidantFusarium wiltgreen pesticidemetabolome

Identifiers

PMID36139841
PMCPMC9495604
OpenAlexW4296793711

What Socratic 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 Socratic graph.