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Rice blast resistance gene Pikahei-1(t), a member of a resistance gene cluster on chromosome 4, encodes a nucleotide-binding site and leucine-rich repeat protein
Authors:Xin Xu  Nagao Hayashi  Chun-Tai Wang  Shuichi Fukuoka  Shinji Kawasaki  Hiroshi Takatsuji  Chang-Jie Jiang
Institution:1. Hubei Provincial Key Laboratory for Protection and Application of Special Plants in Wuling Area of China, Key Laboratory for Biotechnology of National Commission for Nationalities, College of Life Science, South-Central University for Nationalities, Wuhan, 430074, People’s Republic of China
2. National Institute of Agrobiological Sciences, Kannondai 2-1-2, Tsukuba, Ibaraki, 305-8602, Japan
Abstract:Pikahei-1(t) is the strongest quantitative trait locus (QTL) for blast resistance in upland rice cv. Kahei, which has strong field resistance to the rice blast disease. A high-quality bacterial artificial chromosome library was used to fine-map Pikahei-1(t) within ~300 kb on the 31-Mb region on rice chromosome 4. Of the 42 predicted open reading frames, seven resistance gene analogs (RGAs) with the nucleotide-binding site and leucine-rich repeat (NBS-LRR) domain were identified. Among these, RGA1, 2, 3, 5, and 7, but not RGA4 and 6, were found to be expressed in Kahei and monogenic lines containing Pikahei-1(t). Blast inoculation of transgenic rice lines carrying the genomic fragment of each RGA revealed that only RGA3 was associated with blast resistance. On the basis of these results, we concluded that RGA3 is the Pikahei-1(t) and named it Pi63. Pi63 encoded a typical coiled-coil-NBS-LRR protein and showed isolate-specificity. These results suggest that Pi63 behaves like a typical Resistance (R) gene, and the strong and broad-spectrum resistance of Kahei is dependent on natural pyramiding of multiple QTLs. The blast resistance levels of Pi63 were closely correlated with its gene expression levels, indicating a dose-dependent response of Pi63 function in rice resistance. Pi63 is the first cloned R gene in the R gene cluster on rice chromosome 4, and its cloning might facilitate genomic dissection of this cluster region.
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