作物学报2017，Vol.43Issue(11)：1596-1602,7.DOI:10.3724/SP.J.1006.2017.01596
利用MR1523/苏御糯F2:3群体定位水稻抗灰飞虱QTL
Identification of QTLs Conferring Small Brown Planthopper Resistance in Rice (Oryza sativa L.) Using MR1523/Suyunuo F2:3Population
摘要
Abstract
The small brown planthopper(SBPH),Laodelphax striatellus Fallén(Homoptera:Delphacide),is one of the most de-structive insect pests in rice (Oryza sativa L.) production. SBPH not only causes direct damage by sucking plant sap but also transmits the main viral diseases,which seriously threatens the safety of rice production.An indica cultivar MR1523 displayed strong antixenosis against SBPH. In order to identify SBPH resistance genes, an F2:3population derived from a cross between MR1523 and susceptible japonica cultivar Suyunuo was constructed, and then evaluated for SBPH resistance. Moreover, 120 polymorphic SSR markers between the parents uniformly distributed on 12 chromosomes of rice were used to construct the mo-lecular linkage map, and then conducted the QTL assay for SBPH resistance. A total of four QTLs on chromosome 2, 5, and 6, Qsbph2,Qsbph5a,Qsbph5b,and Qsbph6 were detected in the interval of RM526-RM3763,RM17804-RM13,RM574-RM169, and RM190-RM510, with LOD score of 2.14, 3.13, 3.23, and 2.35, and explained the phenotypic variance of 12.0%, 14.7%, 17.4%, and 14.1%, respectively. All of the QTLs came from the resistance parent MR1523. The results in this study lay a foundation for furtherly fine mapping SBPH resistance and developing new cultivars by molecular marker assisted selection in the future.关键词
水稻/灰飞虱/抗性/数量性状基因座Key words
Rice(Oryza sativa L.)/Small brown planthopper(SBPH)/Resistance/Quantitative trait locus(QTL)引用本文复制引用
仲杰,万建民,温培正,孙志广,肖世卓,胡金龙,张乐,江玲,程遐年,刘裕强..利用MR1523/苏御糯F2:3群体定位水稻抗灰飞虱QTL[J].作物学报,2017,43(11):1596-1602,7.基金项目
本研究由国家重点研发计划项目(2017YFD0100400-01), 国家自然科学基金项目(31522039, 31471470)和江苏省自然科学基金项目(BK20150026)资助.This study was supported by the National Key R&D Program of China (2017YFD0100400-01), the National Natural Science Foundation of China (31522039, 31471470), and the Natural Science Foundation of Jiangsu Province of China (BK20150026) （2017YFD0100400-01）
