Evidence map›Paper›PMID 41065845›Full record

SynthesisWorld journal of microbiology & biotechnology2025

Experimental validation of emamectin as predicted from the meta-analysis of in planta RNA-Seq data as a potential antifungal agent against Magnaporthe oryzae.

Priya V K, Riya Rachel Varghese, Jayachandran K, Radhakrishnan E K

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in World journal of microbiology & biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Priya V KSchool of Biosciences, Mahatma Gandhi University, Priyadarsini Hills Post, University Campus Rd, Athirampuzha, 686560, Kerala, India.ORCID http://orcid.org/0000-0003-3115-8786
Riya Rachel VargheseSchool of Biosciences, Mahatma Gandhi University, Priyadarsini Hills Post, University Campus Rd, Athirampuzha, 686560, Kerala, India.
Jayachandran KSchool of Biosciences, Mahatma Gandhi University, Priyadarsini Hills Post, University Campus Rd, Athirampuzha, 686560, Kerala, India.ORCID http://orcid.org/0000-0001-6019-7261
Radhakrishnan E KSchool of Biosciences, Mahatma Gandhi University, Priyadarsini Hills Post, University Campus Rd, Athirampuzha, 686560, Kerala, India. radhakrishnanek@mgu.ac.in.ORCID http://orcid.org/0000-0003-2688-701X

Funding

Rashtriya Uchchatar Shiksha Abhiyan 70/2023/RUSA-SPD
6 · The paper itself

Abstract

Magnaporthe oryzae is a fungus that infects monocotyledons such as rice, causing rice blast with reduced grain quality and hence is a significant challenge to food security. Although several fungicides are used, they are less effective and toxic with prolonged application. In this work on M. oryzae, we identified the protein targets that could be used for anti-fungal drug design based on meta-analysis of RNA-seq data retrieved from five experiments conducted on in planta M. oryzae isolated from infected rice at different time points ( < = 144 hpi). Through RNA-seq analysis, highly expressed genes (HEGs) were identified that were common across different experiments. WGCNA analysis further revealed clusters of co-expressed genes from which hub genes were identified which were also highly expressed. From the results of this study, genes such as MGG_05447, MGG_04732, and MGG_03619 were identified as potential targets for designing more effective fungicides. We selected MGG_04732 (chitinase) as a drug target and using virtual screening, molecular docking and molecular dynamics simulations, we identified emamectin as a potential antifungal agent that could act against it. The antifungal effectiveness of emamectin was further confirmed experimentally which showed it to have the ability to inhibit the growth of M. oryzae as demonstrated by the reduction in radial growth and melanin content. The results of this paper could be utilized for further field studies and applied in the design of new antifungals.

Indexed as

Antifungal AgentsAscomycotaIvermectinMagnaportheFungal ProteinsFungicides, IndustrialGene Expression Regulation, FungalMolecular Docking SimulationMolecular Dynamics SimulationOryzaPlant DiseasesRNA-SeqAntifungal AgentsFungal ProteinsFungicides, IndustrialIvermectinAntifungalDrug designMD analysisM. oryzaeRNA-seq

Identifiers

What OpenQuestion holds

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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.