Combining QTL mapping and expression profile analysis to identify candidate genes of cold tolerance from Dongxiang common wild rice(Oryza rufipogon Griff.)
Combining QTL mapping and expression profile analysis to identify candidate genes of cold tolerance from Dongxiang common wild rice(Oryza rufipogon Griff.)作者机构:State Key Laboratory of Plant Physiology and Biochemistry National Center for Evaluation of Agricultural Wild Plants (Rice)/Beijing Key Laboratory of Crop Genetic Improvement/Department of Plant Genetics and Breeding China Agricultural University
出 版 物:《Journal of Integrative Agriculture》 (农业科学学报(英文版))
年 卷 期:2016年第15卷第9期
页 面:1933-1943页
核心收录:
基 金:supported by the National Natural Science Foundation of China(31371585 and 30971755) the Beijing Youth Talent,China(31056102)
主 题:common wild rice introgression line low temperature tolerance different growth stages candidate genes
摘 要:Rice(Oryza sativa L.), a tropical and subtropical crop, is susceptible to low temperature stress during seedling, booting, and flowering stages, which leads to lower grain quality levels and decreasing rice yields. Cold tolerance is affected by multiple genetic factors in rice, and the complex genetic mechanisms associated with chilling stress tolerance remain unclear. Here, we detected seven quantitative trait loci(QTLs) for cold tolerance at booting stage and identified one cold tolerant line, SIL157, in an introgression line population derived from a cross between the indica variety Guichao 2, as the recipient, and Dongxiang common wild rice, as the donor. When compared with Guichao 2, SIL157 showed a stronger cold tolerance during different growth stages. Through an integrated strategy that combined QTL-mapping with expression profile analysis, six candidate genes, which were up-regulated under chilling stress at the seedling and booting developmental stages, were studied. The results may help in understanding cold tolerance mechanisms and in using beneficial alleles from wild rice to improve the cold tolerance of rice cultivars through molecular marker-assisted selection.