scholarly journals Identification and Characterization of a Large Effect QTL from Oryza glumaepatula Revealed Pi68(t) as Putative Candidate Gene for Rice Blast Resistance

Rice ◽  
2020 ◽  
Vol 13 (1) ◽  
Author(s):  
S. J. S. Rama Devi ◽  
Kuldeep Singh ◽  
B. Umakanth ◽  
B. Vishalakshi ◽  
K. Vijaya Sudhakara Rao ◽  
...  
Plant Disease ◽  
2017 ◽  
Vol 101 (4) ◽  
pp. 557-561 ◽  
Author(s):  
Junjie Xing ◽  
Yulin Jia ◽  
Zhirong Peng ◽  
Yinfeng Shi ◽  
Qiang He ◽  
...  

The blast (Magnaporthe oryzae) resistance (R) gene is the most economical and environmental method to control rice blast disease. Characterization of molecular identity and pathogenicity of M. oryzae benefits the deployment of effective blast R genes. In order to identify blast R genes that would be effective in Hunan Province,182 M. oryzae strains were analyzed with a Chinese differential system (CDS), repetitive element-based polymerase chain reaction (rep-PCR), and the presence and absence of avirulence (AVR) genes by PCR amplification with gene-specific primers. Identified blast R genes were validated with 24 monogenic lines (ML) carrying 24 major R genes. In total, 28 races (isolates) of M. oryzae was identified with CDS, and classified into 20 distinct groups with rep-PCR. Interestingly, AVR-Pia, AVR-Pik, AVR-Pizt, AVR-Pib, and AVR-Pi9 were detected in more than 86.8% of the isolates; AVR-Pita1 was in 51.3% and AVR-Pii was in only 2.5%. In contrast, pathogenicity assays on 24 ML demonstrated that Pi9, Piz5, Pikh, and Pikm were more effective, with resistant frequencies of 91.6, 91, 87.9, and 87.3%, respectively; Pia, Piks, Pit, Pi12, and Pib were less than 15%. These findings revealed the complexity of a genetic basis of rice blast resistance, and shed light on useful blast R genes in Hunan Province.


2018 ◽  
Vol 44 (7) ◽  
pp. 977
Author(s):  
Xiang-Yi XIAO ◽  
Xue-Tao SHI ◽  
Hao-Wen SHENG ◽  
Jin-Ling LIU ◽  
Ying-Hui XIAO

2011 ◽  
Vol 30 (1) ◽  
pp. 485-494 ◽  
Author(s):  
Ikuo Ashikawa ◽  
Nagao Hayashi ◽  
Fumitaka Abe ◽  
Jianzhong Wu ◽  
Takashi Matsumoto

2016 ◽  
Vol 82 (4) ◽  
pp. 296-300 ◽  
Author(s):  
H. SAITOH ◽  
H. KANZAKI ◽  
K. FUJISAKI ◽  
H. TAKAGI ◽  
K. YOSHIDA ◽  
...  

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