Mgonja Emmanuel M, Park Chan Ho, Kang Houxiang, Balimponya Elias G, Opiyo Stephen, Bellizzi Maria, Mutiga Samuel K, Rotich Felix, Ganeshan Veena Devi, Mabagala Robert, Sneller Clay, Correll Jim, Zhou Bo, Talbot Nicholas J, Mitchell Thomas K, Wang Guo-Liang
First, second, fifth, sixth, ninth, fifteenth, and sixteenth authors: Department of Plant Pathology, The Ohio State University, Columbus; fourth and eleventh authors: Department of Horticulture and Crop science, The Ohio State University, Columbus; third author: State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, China; tenth author: Department of Crop Science and Production, Sokoine University of Agriculture, Morogoro, Tanzania; seventh, eighth, and twelfth author: Department of Plant Pathology, University of Arkansas, Fayetteville; seventh author: Biosciences Eastern and Central Africa-International Livestock Research Institute (BecA-ILRI) Hub, ILRI Complex, Nairobi, Kenya; thirteenth author: International Rice Research Institute, Los Banos, Philippines; and fourteenth author, School of Biosciences, University of Exeter, UK.
Phytopathology. 2017 Sep;107(9):1039-1046. doi: 10.1094/PHYTO-12-16-0421-R. Epub 2017 Jul 18.
Understanding the genetic diversity of rice germplasm is important for the sustainable use of genetic materials in rice breeding and production. Africa is rich in rice genetic resources that can be utilized to boost rice productivity on the continent. A major constraint to rice production in Africa is rice blast, caused by the hemibiotrophic fungal pathogen Magnaporthe oryzae. In this report, we present the results of a genotyping-by-sequencing (GBS)-based diversity analysis of 190 African rice cultivars and an association mapping of blast resistance (R) genes and quantitative trait loci (QTLs). The 190 African cultivars were clustered into three groups based on the 184K single nucleotide polymorphisms generated by GBS. We inoculated the rice cultivars with six African M. oryzae isolates. Association mapping identified 25 genomic regions associated with blast resistance (RABRs) in the rice genome. Moreover, PCR analysis indicated that RABR_23 is associated with the Pi-ta gene on chromosome 12. Our study demonstrates that the combination of GBS-based genetic diversity population analysis and association mapping is effective in identifying rice blast R genes/QTLs that contribute to resistance against African populations of M. oryzae. The identified markers linked to the RABRs and 14 highly resistant cultivars in this study will be useful for rice breeding in Africa.
了解水稻种质的遗传多样性对于在水稻育种和生产中可持续利用遗传材料至关重要。非洲拥有丰富的水稻遗传资源,可用于提高该大陆的水稻产量。非洲水稻生产的一个主要限制因素是稻瘟病,它由半活体营养型真菌病原体稻瘟病菌(Magnaporthe oryzae)引起。在本报告中,我们展示了基于简化基因组测序(GBS)对190个非洲水稻品种进行的多样性分析结果,以及对稻瘟病抗性(R)基因和数量性状位点(QTL)的关联分析。基于GBS产生的184K单核苷酸多态性,将190个非洲品种分为三组。我们用六种非洲稻瘟病菌株接种这些水稻品种。关联分析在水稻基因组中鉴定出25个与稻瘟病抗性相关的基因组区域(RABRs)。此外,PCR分析表明RABR_23与第12号染色体上的Pi-ta基因相关。我们的研究表明,基于GBS的遗传多样性群体分析和关联分析相结合,对于鉴定有助于抵抗非洲稻瘟病菌株的水稻稻瘟病R基因/QTL是有效的。本研究中鉴定出的与RABRs相关的标记以及14个高抗品种将对非洲的水稻育种有用。