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

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...

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Veröffentlicht in:The journal of microbiology 2012, 50(6), , pp.947-954
Hauptverfasser: Su'udi, Mukhamad, National Academy of Agricultural Science, RDA, Suwon, Republic of Korea, Park, J.M., National Academy of Agricultural Science, RDA, Suwon, Republic of Korea, Kang, W.R., National Academy of Agricultural Science, RDA, Suwon, Republic of Korea, Park, S.R., National Academy of Agricultural Science, RDA, Suwon, Republic of Korea, Hwang, D.J., National Academy of Agricultural Science, RDA, Suwon, Republic of Korea, Ahn, I.P., National Academy of Agricultural Science, RDA, Suwon, Republic of Korea
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Sprache:eng
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Zusammenfassung: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 greater than 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.
ISSN:1225-8873
1976-3794
DOI:10.1007/s12275-012-2538-y