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Journal of Environmental Science and Health, Part B
Pesticides, Food Contaminants, and Agricultural Wastes
Volume 57, 2022 - Issue 10
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Research Article

Correlations among population genetic structure, geographic origin, growth rate, and fungicide resistance of Rhizoctonia solani AG 1-IA, the pathogen of rice sheath blight

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Pages 821-834 | Published online: 20 Sep 2022
 

Abstract

Rhizoctonia solani AG1-IA is a necrotrophic fungus that causes rice sheath blight and results in severe yield and quality reductions in rice worldwide. Differences of genetic structure and fungicide sensitivity of the pathogen have significant effects on the severity and control effect of this disease in the field. To determine correlations among population genetic structure, geographic origin, growth rate, and fungicide resistance of the pathogen, 293 strains of R. solani were isolated from diseased rice collected from 13 cities of Jiangsu Province and five regions of China. Simple sequence repeat (SSR) molecular marker technology was used to analyze the genetic diversity of these strains, and a total of 74 bands were amplified by nine pairs of primers. Population genetic structure analysis showed that strains from Central China and northern Jiangsu had the highest Nei’s gene diversity index and Shannon diversity index. The vast majority of strains grew fast with colony diameters of more than 60.0 mm cultured at 28 °C for 36 h. The half-maximal effective concentration (EC50) of them to tebuconazole, thifluzamide, and propiconazole varied ∼16.2-, 3.8-, and 7.5-fold. However, the genetic diversity of R. solani had no significant correlation with their geographic origin, growth rate or fungicide sensitivity.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Data availability statement

The original data presented in this study are included in the manuscript or Supplementary Materials, further inquiries and all data can be the results in this current article.

Additional information

Funding

This work was supported by grants from the National Key Research and Development Project (2018YFD0300800), the Fund of Science and Technology Project of Jiangsu Province (BE2018355), the Modern Agriculture Development Project of Jiangsu Province (2020-SJ-003-YD07), and the University Natural Science Foundation of Jiangsu Province (21KJD21003).

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