Open AccessDissection of the genetic architecture of rice resistance to the blast fungus Magnaporthe oryzae
Author(s) -
Kang Houxiang,
Wang Yue,
Peng Shasha,
Zhang Yanli,
Xiao Yinghui,
Wang Dan,
Qu Shaohong,
Li Zhiqiang,
Yan Shuangyong,
Wang Zhilong,
Liu Wende,
Ning Yuese,
Korniliev Pavel,
Leung Hei,
Mezey Jason,
McCouch Susan R.,
Wang GuoLiang
Publication year - 2016
Publication title -
molecular plant pathology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.945
H-Index - 103
eISSN - 1364-3703
pISSN - 1464-6722
DOI - 10.1111/mpp.12340
Subject(s) - biology , genetics , locus (genetics) , magnaporthe , gene , single nucleotide polymorphism , allele , candidate gene , quantitative trait locus , genetic architecture , rna interference , plant disease resistance , r gene , oryza sativa , fungus , genome wide association study , phenotype , oryza , magnaporthe grisea , botany , genotype , rna
Summary Resistance in rice cultivars to the rice blast fungus Magnaporthe oryzae is complex and is controlled by both major genes and quantitative trait loci (QTLs). We undertook a genome‐wide association study (GWAS) using the rice diversity panel 1 (RDP1) that was genotyped using a high‐density (700 000 single nucleotide polymorphisms) array and inoculated with five diverse M. oryzae isolates. We identified 97 loci associated with blast resistance (LABRs). Among them, 82 were new regions and 15 co‐localized with known blast resistance loci. The top 72 LABRs explained up to 98% of the phenotypic variation. The candidate genes in the LABRs encode nucleotide‐binding site leucine‐rich repeat (NBS‐LRR) resistance proteins, receptor‐like protein kinases, transcription factors and defence‐related proteins. Among them, LABR_64 was strongly associated with resistance to all five isolates. We analysed the function of candidate genes underlying LABR_64 using RNA interference (RNAi) technology and identified two new resistance alleles at the Pi5 locus. We demonstrate an efficient strategy for rapid allele discovery using the power of GWAS, coupled with RNAi technology, for the dissection of complex blast resistance in rice.