Mgonja Emmanuel M, Balimponya Elias G, Kang Houxiang, Bellizzi Maria, Park Chan Ho, Li Ya, Mabagala Robert, Sneller Clay, Correll Jim, Opiyo Stephen, Talbot Nicholas J, Mitchell Thomas, Wang Guo-Liang
First, fourth, fifth, sixth, tenth, twelfth, and thirteenth authors: Department of Plant Pathology, and second and eighth authors: Department of Horticulture and Crop Science, The Ohio State University, Columbus; third and thirteenth authors: State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing; seventh author: Department of Crop Science and Production, Sokoine University of Agriculture, Morogoro, Tanzania; ninth author: Department of Plant Pathology, University of Arkansas, Fayetteville; and eleventh author: School of Biosciences, University of Exeter, UK.
Phytopathology. 2016 Nov;106(11):1359-1365. doi: 10.1094/PHYTO-01-16-0028-R. Epub 2016 Jul 27.
Rice blast disease is emerging as a major constraint to rice production in Africa. Although a traditional gene-tagging strategy using biparental crosses can effectively identify resistance (R) genes or quantitative trait loci (QTL) against Magnaporthe oryzae, the mapping procedure required is time consuming and requires many populations to investigate the genetics of resistance. In this report, we conducted a genome-wide association study (GWAS) to rapidly map rice genes conferring resistance against eight M. oryzae isolates from four African countries. We inoculated 162 rice cultivars, which were part of the rice diversity panel 1 (RDP1) and were previously genotyped with the 44,000 single-nucleotide polymorphism (SNP) chip, with the eight isolates. The GWAS identified 31 genomic regions associated with blast resistance (RABR) in the rice genome. In addition, we used polymerase chain reaction analysis to confirm the association between the Pish gene and a major RABR on chromosome 1 that was associated with resistance to four M. oryzae isolates. Our study has demonstrated the power of GWAS for the rapid identification of rice blast R or QTL genes that are effective against African populations of M. oryzae. The identified SNP markers associated with RABR can be used in breeding for resistance against rice blast in Africa.
稻瘟病正成为非洲水稻生产的主要制约因素。尽管使用双亲杂交的传统基因标记策略能够有效地鉴定出抗稻瘟病菌的抗性(R)基因或数量性状位点(QTL),但所需的定位过程耗时且需要许多群体来研究抗性的遗传机制。在本报告中,我们开展了一项全基因组关联研究(GWAS),以快速定位赋予水稻对来自四个非洲国家的八种稻瘟病菌株抗性的基因。我们用这八种菌株接种了162个水稻品种,这些品种是水稻多样性面板1(RDP1)的一部分,之前已用44000个单核苷酸多态性(SNP)芯片进行了基因分型。GWAS在水稻基因组中鉴定出31个与稻瘟病抗性相关的基因组区域(RABR)。此外,我们使用聚合酶链反应分析来证实Pish基因与1号染色体上一个主要的RABR之间的关联,该RABR与对四种稻瘟病菌株的抗性相关。我们的研究证明了GWAS在快速鉴定对非洲稻瘟病菌株有效的水稻稻瘟病R或QTL基因方面的能力。所鉴定的与RABR相关的SNP标记可用于非洲抗稻瘟病育种。