Evidence map›Paper›PMID 40108347›Full record

ArticleScientific reports2025

Harnessing plant growth-promoting bacteria to combat watermelon mosaic virus in squash.

Shymaa R Bashandy, Omima Abdelsater Mohamed, Osama A Abdalla, A Elfarash, Mohamed Hemida Abd-Alla

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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
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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.

Shymaa R BashandyBotany and Microbiology Department, Faculty of Science, Assiut University, Assiut, 71516, Egypt.
Omima Abdelsater MohamedBotany and Microbiology Department, Faculty of Science, Assiut University, Assiut, 71516, Egypt.
Osama A AbdallaPlant Pathology Department Faculty of Agriculture, Assiut University, Assiut, 71516, Egypt.
A ElfarashGenetics Department Faculty of Agriculture, Assiut University, Assiut, 71516, Egypt.
Mohamed Hemida Abd-AllaBotany and Microbiology Department, Faculty of Science, Assiut University, Assiut, 71516, Egypt. mhabdalla@aun.edu.eg.ORCID http://orcid.org/0000-0003-0415-9409

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plant diseases significantly threaten global food security, with viral infections, particularly Watermelon Mosaic Virus (WMV), causing substantial losses in economically important crops such as squash. This study aims to investigate the efficacy of beneficial bacteria isolated from various plants in promoting growth and mitigating the effects of WMV in squash. Understanding the interactions between plants and beneficial microbes could provide sustainable solutions for managing viral infections in agriculture. Sixty-two bacterial isolates were obtained from the rhizosphere of basil, mint, thyme, and squash plants. Among these, six strains exhibited notable plant growth-promoting activities, including the synthesis of indole acetic acid, solubilization of phosphate and zinc, ammonia production, and activity of 1-aminocyclopropane-1-carboxylate deaminase (ACCD). Morphological observations and 16S rRNA gene sequencing identified these isolates as Pseudomonas indica, Bacillus paramycoides, Bacillus thuringiensis, Bacillus mycoides, Paenibacillus glucanolyticus, and Niallia circulans. In pot experiments, squash plants inoculated with these bacterial strains demonstrated significant reductions in disease severity after being infected with WMV. Specifically, foliar applications of the bacteria resulted in the following reductions in disease severity: B. mycoides (87%), B. thuringiensis (73%), Paenibacillus glucanolyticus (73%), Niallia circulans (70%), B. paramycoides (65%), and Pseudomonas indica (65%). Additionally, plants treated with B. mycoides showed increased plant height and shoot dry weight, indicating enhanced growth performance relative to infected controls. Statistical analysis revealed that these growth promotions and disease severity reduction were significant (p < 0.05). GC-MS analysis of the six bacterial strains revealed a diverse array of 73 chemical metabolites, including common compounds such as 9-Octadecenoic acid (Z), benzene derivatives, and cyclopentanones. These findings suggest shared metabolic pathways among the strains and indicate potential roles in ecological interactions, plant defense mechanisms, and antiviral properties. These metabolites likely contribute to the observed reductions in viral severity and enhance plant resilience. The study indicates that inoculating squash plants with specific beneficial bacteria, especially B. mycoides, through foliar or soil application can significantly decrease the severity of WMV and promote plant growth. This approach offers an environmentally friendly alternative to chemical antiviral treatments and may reduce reliance on pesticides. This research highlights the potential of using plant growth-promoting bacteria (PGPB)as a sustainable approach to control viral infections in crops. Further field trials are necessary to PGPB validate the scalability of these findings and assess their effectiveness under diverse agricultural conditions. Incorporating these beneficial microbes into agricultural practices could enhance the resilience of cropping systems, ultimately fostering sustainable agriculture and enhancing food security.

Indexed as

BacteriaCucurbitaPlant DiseasesPotyvirusCarbon-Carbon LyasesRhizosphereRNA, Ribosomal, 16SSoil Microbiology1-aminocyclopropane-1-carboxylate deaminaseCarbon-Carbon LyasesRNA, Ribosomal, 16SBacterial biostimulantsBiological controlCrop disease managementPlant growth-promoting bacteria (PGPB)Rhizosphere microbiomeSustainable agriculture

Identifiers

PMID40108347
PMCPMC11923214

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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.