- Quantification of Rice Sheath Blight Progression Caused by Rhizoctonia solani
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Mukhamad Su’udi , Jong-Mi Park , Woo-Ri Kang , Duk-Ju Hwang , Soonok Kim , Il-Pyung Ahn
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J. Microbiol. 2013;51(3):380-388. Published online June 28, 2013
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DOI: https://doi.org/10.1007/s12275-013-3274-7
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Rhizoctonia solani has a wide host range, including almost all cultivated crops and its subgroup anastomosis group (AG)-1 IA causes sheath blight in rice. An accurate measurement of pathogen’s biomass is a convincing tool for enumeration
of this disease. Mycological characteristics and molecular diagnosis simultaneously supported that all six strains in this study were R. solani AG-1 IA. Heterokaryons between strains Rs40104, Rs40105, and Rs45811 were stable and viable, whereas Rs40103 and Rs40106 did not form viable fused cells, except for the combination of Rs40106 and Rs40104. A primer pair was highly specific to RsAROM gene of R.
solani strains and the amplified fragment exists as double copies within fungal genome. The relationship between crossing point (CP) values and the amount of fungal DNA was reliable (R2>0.99). Based on these results, we determined R.
solani’s proliferation within infected stems through real time PCR using a primer pair and a Taqman probe specific to the RsAROM gene. The amount of fungal DNA within the 250 ng of tissue DNA from rice cv. Dongjin infected with Rs40104,
Rs40105, and Rs45811 were 7.436, 5.830, and 5.085 ng, respectively. In contrast, the fungal DNAs within the stems inoculated with Rs40103 and Rs40106 were 0.091 and 0.842 ng. The sheath blight symptom progression approximately coincided with the amount of fungal DNA within the symptoms. In summary, our quantitative evaluation method provided reliable and objective results reflecting the amount of fungal
biomass within the infected tissues and would be useful for evaluation of resistance germplasm or fungicides and estimation of inoculum potential.
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Citations
Citations to this article as recorded by  - Development of a multipurpose diagnostic marker using PCR, real-time PCR, and LAMP assays for rapid detection of Rhizoctonia solani in rice plants and soil
Asmita Singh, Prashantha S. Tadasanahaller, Sapna Sharma, Gopala Krishnan Subbaiyan, Rashmi Aggarwal, V. Shanmugam, Mahender S. Saharan, Bishnu Maya Bashyal
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Tao Feng, Zhao-Yang Zhang, Peng Gao, Zhi-Ming Feng, Shi-Min Zuo, Shou-Qiang Ouyang
International Journal of Molecular Sciences.2023; 24(4): 3653. CrossRef - Molecular Detection Assays for Rapid Field-Detection of Rice Sheath Blight
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Madhu Tiwari, Suchi Srivastava, Poonam C. Singh, Arun Kumar Mishra, Debasis Chakrabarty
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In Sun Hwang, Woo-Ri Kang, Duk-Ju Hwang, Shin-Chul Bae, Sung-Hwan Yun, Il-Pyung Ahn
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Gyula Oros, Zoltán Naár, Donát Magyar
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- Quantification of Rice Brown Leaf Spot through Taqman Real-Time PCR Specific to the Unigene Encoding Cochliobolus miyabeanus SCYTALONE DEHYDRATASE1 Involved in Fungal Melanin Biosynthesis
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Mukhamad Su’udi , Jong-Mi Park , Woo-Ri Kang , Sang-Ryeol Park , Duk-Ju Hwang , Il-Pyung Ahn
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J. Microbiol. 2012;50(6):947-954. Published online December 30, 2012
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DOI: https://doi.org/10.1007/s12275-012-2538-y
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Abstract
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Rice brown leaf spot is a major disease in the rice paddy field. The causal agent Cochliobolus miyabeanus is an ascomycete fungus and a representative necrotrophic pathogen in the investigation of rice-microbe interactions. The aims of this research were to identify a quantitative evaluation method to determine the amount of C. miyabeanus proliferation in planta and determine the method’s sensitivity. Real-time polymerase chain reaction (PCR) was employed in combination
with the primer pair and Taqman probe specific to CmSCD1, a C. miyabeanus unigene encoding SCYTALONE DEHYDRATASE, which is involved in fungal melanin biosynthesis. Comparative analysis of the nucleotide sequences of CmSCD1 from Korean strains with those from the Japanese and Taiwanese strains revealed some sequence differences. Based on the crossing point (CP) values from Taqman realtime PCR containing a series of increasing concentrations of cloned amplicon or fungal genomic DNA, linear regressions with a high level of reliability (R2>0.997) were constructed. This system was able to estimate fungal genomic DNA at the picogram level. The reliability of this equation was further confirmed using DNA samples from both resistant and susceptible cultivars infected with C. miyabeanus. In summary, our quantitative system is a powerful alternative in brown leaf spot forecasting and in the consistent evaluation of disease progression.
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Citations
Citations to this article as recorded by - Foliar Diseases and the Associated Fungi in Rice Cultivated in Kenya
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Microbiology.2013; 159(Pt_9): 1946. CrossRef - Evaluation of bakanae disease progression caused by Fusarium fujikuroi in Oryza sativa L.
In Sun Hwang, Woo-Ri Kang, Duk-Ju Hwang, Shin-Chul Bae, Sung-Hwan Yun, Il-Pyung Ahn
Journal of Microbiology.2013; 51(6): 858. CrossRef
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