Effect of extremely low frequency electromagnetic field on the pathogenicity of Magnaporthe oryzae.
Abstract
Numerous works have reported that extremely low frequency electromagnetic fields (ELF-EMFs) were associated with human health; however, little is known about their effects on the occurrence of agricultural diseases. In this study, Magnaporthe oryzae was used as a model organism, and its pathogenicity under 50 Hz, 3 mT ELF-EMF was studied. Our results showed that the pathogenicity, growth rate, and conidia generation of M. oryzae were enhanced under ELF-EMF exposure. In addition, M. oryzae exposed to ELF-EMF showed enhanced tolerance to cell wall-perturbing agents sodium lauryl sulphate, and increased expression of cell wall integrity-related genes, including RAC1, CDC42, RHO2, and NOX2. In addition, the level of reactive oxygen species (ROS) and the expression level of ROS scavenger system-related gene MoAP1 increased in ELF-EMF-exposed samples, whereas the total antioxidant capacity and the activities of superoxide dismutase and catalase did not change. Results of our study demonstrated that exposure to 50 Hz, 3 mT ELF-EMF enhanced the infection ability of M. oryzae, which present new important challenges for understanding the effect of ELF-EMF exposure on farmland ecology, especially on agricultural diseases.
AI evidence extraction
Main findings
Under 50 Hz, 3 mT ELF-EMF exposure, Magnaporthe oryzae showed enhanced pathogenicity/infection ability, growth rate, and conidia generation. ELF-EMF-exposed samples also showed increased tolerance to sodium lauryl sulphate, increased expression of cell wall integrity-related genes (RAC1, CDC42, RHO2, NOX2), increased ROS levels and MoAP1 expression, while total antioxidant capacity and superoxide dismutase and catalase activities did not change.
Outcomes measured
- Pathogenicity/infection ability
- Growth rate
- Conidia generation
- Tolerance to cell wall-perturbing agent (sodium lauryl sulphate)
- Expression of cell wall integrity-related genes (RAC1, CDC42, RHO2, NOX2)
- Reactive oxygen species (ROS) level
- Expression of ROS scavenger system-related gene (MoAP1)
- Total antioxidant capacity
- Superoxide dismutase activity
- Catalase activity
Limitations
- Exposure duration not reported in abstract
- Sample size and replication not reported in abstract
- Study conducted in a fungal model organism; relevance to human health not addressed
View raw extracted JSON
{
"study_type": "animal",
"exposure": {
"band": "ELF",
"source": "other",
"frequency_mhz": 5.00000000000000023960868011929647991564706899225711822509765625e-5,
"sar_wkg": null,
"duration": null
},
"population": "Magnaporthe oryzae (fungus; model organism)",
"sample_size": null,
"outcomes": [
"Pathogenicity/infection ability",
"Growth rate",
"Conidia generation",
"Tolerance to cell wall-perturbing agent (sodium lauryl sulphate)",
"Expression of cell wall integrity-related genes (RAC1, CDC42, RHO2, NOX2)",
"Reactive oxygen species (ROS) level",
"Expression of ROS scavenger system-related gene (MoAP1)",
"Total antioxidant capacity",
"Superoxide dismutase activity",
"Catalase activity"
],
"main_findings": "Under 50 Hz, 3 mT ELF-EMF exposure, Magnaporthe oryzae showed enhanced pathogenicity/infection ability, growth rate, and conidia generation. ELF-EMF-exposed samples also showed increased tolerance to sodium lauryl sulphate, increased expression of cell wall integrity-related genes (RAC1, CDC42, RHO2, NOX2), increased ROS levels and MoAP1 expression, while total antioxidant capacity and superoxide dismutase and catalase activities did not change.",
"effect_direction": "mixed",
"limitations": [
"Exposure duration not reported in abstract",
"Sample size and replication not reported in abstract",
"Study conducted in a fungal model organism; relevance to human health not addressed"
],
"evidence_strength": "low",
"confidence": 0.7800000000000000266453525910037569701671600341796875,
"peer_reviewed_likely": "yes",
"keywords": [
"extremely low frequency",
"ELF-EMF",
"50 Hz",
"3 mT",
"Magnaporthe oryzae",
"pathogenicity",
"conidia",
"cell wall integrity",
"ROS",
"MoAP1"
],
"suggested_hubs": []
}
AI can be wrong. Always verify against the paper.
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