Evidence map›Paper›PMID 41039238›Full record

ArticleBMC microbiology2025

Antifungal effects of metabolites from Arthrinium sp. 2-65 and identification of main active ingredients.

Huan Qu, Ershuai Yang, Mei Zuo, Zongze Li, Ludan Dai, Youping Su, Xiu Zhang, Yongbin Cheng, Yihan Chen, Yang Chen

Abstract read
In one paragraph

Article in BMC microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

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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

10 authors.

Huan QuSchool of Biological Science and Engineering, North Minzu University, Yinchuan, 750021, Ningxia, China. rosalie42@163.com.
Ershuai YangSchool of Biological Science and Engineering, North Minzu University, Yinchuan, 750021, Ningxia, China.
Mei ZuoSchool of Pharmaceutical Sciences, Guizhou University, Guiyang, 550025, China.
Zongze LiAgricultural Technology Extension Station of Ningxia Hui Autonomous Region, Yinchuan, 750000, Ningxia, China.
Ludan DaiSchool of Biological Science and Engineering, North Minzu University, Yinchuan, 750021, Ningxia, China.
Youping SuSchool of Biological Science and Engineering, North Minzu University, Yinchuan, 750021, Ningxia, China.
Xiu ZhangNingxia Key Laboratory of Microbial Resources Development and Applications in Special Environment, Yinchuan, 750021, Ningxia, China.
Yongbin ChengSchool of Biological Science and Engineering, North Minzu University, Yinchuan, 750021, Ningxia, China.
Yihan ChenSchool of Biological Science and Engineering, North Minzu University, Yinchuan, 750021, Ningxia, China.
Yang ChenSchool of Pharmaceutical Sciences, Guizhou University, Guiyang, 550025, China.

Funding

National Natural Science Foundation of China 31960551Natural Science Foundation of Ningxia Province 2023AAC03295Open Subject of North Minzu University Ningxia Key Laboratory for the Development and Application of Microbial Resources in Extreme Environments NXTSL2505Science and Technology Leading Talent Project of Ningxia 2022GKLRLX06
6 · The paper itself

Abstract

backgroundUsing microbes and their metabolites as material to develop new biological fungicides is still vital for pesticide development. Our preliminary study found that the endophytic fungi Arthrinium sp. 2-65 of Thymus mongolicus (Ronniger) Ronniger showed a certain inhibitory effect on pathogenic fungi.

resultsIn this study, the antifungal activity of Arthrinium sp. 2-65 was evaluated. The ethyl acetate extract of Arthrinium sp. 2-65 exhibited significant inhibitory activity against pathogenic fungi, especially Botrytis cinerea. The main compounds of Arthrinium sp. 2-65 metabolites were isolated and purified, and the two compounds were identified by infrared spectroscopy (IR), high-performance liquid chromatography (HPLC),

conclusionsThe main compounds (A and B) isolated and characterised from the fermentation broth of Arthrinium sp. 2-65 showed satisfactory inhibitory effects against pathogenic fungi, especially B. cinerea. These compounds could be used as potential molecules for the development of novel pesticides to control grey mould.

Indexed as

Antifungal AgentsAscomycotaFungicides, IndustrialBotrytisChromatography, High Pressure LiquidEndophytesFermentationFungiMagnetic Resonance SpectroscopyMicrobial Sensitivity TestsAntifungal AgentsFungicides, IndustrialAntifungal activityArthrinium sp.Botrytis cinereaMaleic anhydride derivatives

Identifiers

PMID41039238
PMCPMC12492679

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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.