Evidence map›Paper›PMID 39397309›Full record

ArticleThe plant pathology journal2024

Investigation of Antimicrobial Compounds Produced by Endolichenic Fungi in Different Culture Media.

Jaycee Augusto G Paguirigan, Eunah Jeong, Kyo Bin Kang, Jae-Seoun Hur, Wonyong Kim

Abstract read
In one paragraph

Article in The plant pathology journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

5 authors.

Jaycee Augusto G PaguiriganKorean Lichen Research Institute, Sunchon National University, Suncheon 57922, Korea.
Eunah JeongCollege of Pharmacy and Drug Information Research Institute, Sookmyung Women's University, Seoul 04310, Korea.
Kyo Bin KangCollege of Pharmacy and Drug Information Research Institute, Sookmyung Women's University, Seoul 04310, Korea.
Jae-Seoun HurKorean Lichen Research Institute, Sunchon National University, Suncheon 57922, Korea.
Wonyong KimKorean Lichen Research Institute, Sunchon National University, Suncheon 57922, Korea.

Funding

Ministry of Science and ICTNational Research Foundation of Korea 2017M3A9B8069471National Research Foundation of Korea 2021K2A9A1A06086000National Research Foundation of Korea 2022R1C1C2004118
6 · The paper itself

Abstract

Continuous use of synthetic fungicides has led to explosive emergence of fungicide-resistant microbes. Therefore, there are urgent needs for environmentally friendly antimicrobial agents with novel modes of action. This study investigated endolichenic fungi (ELF) as a source of antimicrobial compounds against various plant pathogens. We utilized an One Strain MAny Compounds (OSMAC) approach to enhance the chemical diversity of fourteen ELF. This involved cultivation of ELF in four growth media and subsequently assessing antimicrobial activities of culture extracts. Nearly half of the culture extracts exhibited antimicrobial activity against a Gram-positive bacterium, but showed minimal activity against Gram-negative bacteria tested. Notably, culture extracts from two ELF, Chaetomium globosum and Nodulisporium sp., demonstrated significant inhibitory effects against plant pathogenic fungi. LC-MS/MS-based metabolome profiling confirmed the presence of known bioactive compounds like cyclic dipeptides and chaetoglobosins. These findings highlight the effectiveness of combining OSMAC and metabolomics for identifying antimicrobial agents for agricultural use.

Indexed as

antimicrobial activitybiopesticideendolichenic fungimetabolomicsOSMAC

Identifiers

PMID39397309
PMCPMC11471934

What OpenQuestion holds

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Registered trials

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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.