Identification of new rice cultivars and resistance loci against rice black-streaked dwarf virus disease through genome-wide association study

• Published in: Rice (New York, N.Y.) N.Y.), 2019-07, Vol.12 (1), p.49-13, Article 49
• Main Authors: Feng, Zhiming, Kang, Houxiang, Li, Mingyou, Zou, Lihua, Wang, Xiaoqiu, Zhao, Jianhua, Wei, Lang, Zhou, Nana, Li, Qianqian, Lan, Ying, Zhang, Yafang, Chen, Zongxiang, Liu, Wende, Pan, Xuebiao, Wang, Guo-Liang, Zuo, Shimin
• Format: Article
• Language: English
• Subjects: Agriculture; Biomedical and Life Sciences; Breeding; Cloning; Crop yield; Cultivars; Disease control; Disease resistance; Genome-wide association study (GWAS); Genomes; Life Sciences; Marker-assisted selection; Nucleotides; Original; Original Article; Oryza sativa indica; Oryza sativa japonica; Plant Breeding/Biotechnology; Plant Ecology; Plant Genetics and Genomics; Plant Sciences; Polymorphism; Populations; Quantitative trait loci; Quantitative trait loci (QTLs); Resistance effect; Rice; Rice (Oryza sativa L.); Rice black-streaked dwarf virus (RBSDV) disease; Single-nucleotide polymorphism; Stability analysis; Viruses
• ISSN: 1939-8425; 1939-8433; 1934-8037
• DOI: 10.1186/s12284-019-0310-1

Background The rice black-streaked dwarf virus (RBSDV) disease causes severe rice yield losses in Eastern China and other East Asian countries. Breeding resistant cultivars is the most economical and effective strategy to control the disease. However, few varieties and QTLs for RBSDV resistance have been identified to date. Results In this study, we conducted a genome-wide association study (GWAS) on RBSDV resistance using the rice diversity panel 1 (RDP1) cultivars that were genotyped by a 44,000 high-density single nucleotide polymorphism (SNP) markers array. We found that less than 15% of these cultivars displayed resistance to RBSDV when tested under natural infection conditions at two locations with serious RBSDV occurrence. The aus , indica and tropical japonica sub-populations displayed higher RBSDV resistance than the aromatic and temperate japonica sub-populations. In particular, we identified four varieties that displayed stable levels of RBSDV resistance at all testing locations. GWAS identified 84 non-redundant SNP loci significantly associated with RBSDV resistance at two locations, leading to the identification of 13 QTLs for RBSDV resistance. Among them, qRBSDV-4.2 and qRBSDV-6.3 were detected at both locations, suggesting their resistance stability against environmental influence. Field disease evaluations showed that qRBSDV-6.3 significantly reduces RBSDV disease severity by 20%. Furthermore, introgression of qRBSDV-6.3 into two susceptible rice cultivars by marker-assisted selection demonstrated the effectiveness of qRBSDV-6.3 in enhancing RBSDV resistance. Conclusions The new resistant cultivars and QTLs against RBSDV disease identified in this study provide important information and genetic materials for the cloning of RBSDV resistance genes as well as developing RBSDV resistant varieties through marker-assisted selection.