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| 1 | Fine Mapping of QTLs for Stigma Exsertion Rate from Oryza glaberrima by Chromosome Segment Substitution显示文摘Stigma exsertion is an important trait for outcrossing ability in rice.Stigma exsertion rate(SER)of male sterile lines(MSLs)is a key factor affecting F1-seed production in hybrid rice.In this study,seven QTLs for SER were detected on five chromosomes using a set of single-segment substitution lines(SSSLs)derived from O.glaberrima.Three of the QTLs were mapped in the estimated intervals of 92.5–333.0 kb.qSER-5 was located in a substitution segment of 92.5 kb.qS ER-1 b and qS ER-8 b were respectively limited to 333.0 kb and 107.5 kb by secondary substitution mapping.qSER-1 b and qSER-3 had bigger additive effects of 11.5%and 11.9%,respectively,while the other five QTLs had smaller additive effects from 5.7%to 8.6%.Open reading frames were identified in the regions of qS ER-5 and qSER-8 b in O.sativa and O.glaberrima genomes.Fine mapping of the QTLs laid a foundation for the cloning of genes,and QTLs for SER will be used to develop MSLs with strong ability of outcrossing. | TAN Quanya ZHU Haitao LIU Hui NI Yuerong WU Shengze LUAN Xin LIU Junwei YANG Weifeng YANG Zifeng ZENG Ruizhen LIU Guifu WANG Shaokui ZHANG Guiquan | 2022 | Rice science2022，29，1： | 1 |
| 2 | GL9 from Oryza glumaepatula controls grain size and chalkiness in rice显示文摘Grain size is a key factor influencing grain yield and appearance quality in rice.We identified twelve quantitative trait loci(QTL)for grain length(GL),nine for grain width(GW),and nine for 1000-kernel weight(TKW)using GLU-SSSLs,which are single-segment substitution lines with Oryza glumaepatula as donor parent and Huajingxian 74(HJX74)as recipient parent.Among the QTL,qGL1-2,qGL1-4,qGL9-2,qGW2-2,qGW9-1 and qTKW9-2 contributed to high grain yield.GL9 was identified as a candidate gene for qGL9-2 by map-based cloning and sequencing,and is a novel allele of GS9.The kernel of NIL-gl9was slenderer and longer than that of HJX74,and the TKW and grain yield per plant of NIL-gl9 were higher than those of HJX74.The proportion of grain chalkiness of NIL-gl9 was much lower than that of HJX74.Thus,gl9 increased grain yield and appearance quality simultaneously.Three pyramid lines,NIL-gs3/gl9,NIL-GW7/gl9 and NIL-gw8/gl9,were developed and the kernel of each was longer than that of the corresponding recipient parent lines.The gl9 allele may be beneficial for breeding rice varieties with high grain yield and good appearance quality. | Shaojun Lin Zupei Liu Kui Zhang Weifeng Yang Penglin Zhan Quanya Tan Yajun Gou Shuaipeng Ma Xin Luan Chubing Huang Zhili Xiao Yuanyuan Liu Bihuang Zhu Ruiqing Liang Wenqi Zhou Haitao Zhu Suhong Bu Guifu Liu Guiquan Zhang Shaokui Wang | 2023 | The Crop Journal2023，11，1： | 1 |
| 3 | High-Quality de novo Genome Assembly of Huajingxian 74, a Receptor Parent of Single Segment Substitution Lines显示文摘Rice(Oryza sativa L.)is grown nearly worldwide and provides the staple food for more than half of the global population(Luo et al,2017).The genomes of several cultivated rice varieties including Nipponbare(NPB)(Kawahara et al,2013;Sakai et al,2013),IR64(Tanaka et al,2020),93-11(Zhang et al,2018)and R498(Du et al,2017)at chromosome level,and Minghui 63 and Zhenshan 97(Zhang et al,2016)at scaffold level have been assembled,annotated and released,among which the R498 and NPB genomes are widely used as reference genomes in rice research.However,there are thousands of rice cultivars,landraces and wild rice varieties in the world with dramatically different genetic backgrounds,and the genomes of native rice varieties in South China,which is one of the major rice production areas in China,have not been de novo assembled.Huajingxian 74(HJX74)is an indica rice variety bred in South China Agricultural University,Guangdong Province with widely environmental adaptability and high yield(www.ricedata.cn/variety/varis/602548.htm).HJX74 exhibits significant phenotypic and genetic differences from those varieties whose whole genomes have been properly sequenced and assembled(Fig.1). | LI Fangping GAO Yanhao WU Bingqi CAI Qingpei ZHAN Pengling YANG Weifeng SHI Wanxuan LI Xiaohua YANG Zifeng TAN Quanya LUAN Xin ZHANG Guiquan WANG Shaokui | 2021 | Rice science2021，28，2： | 0 |
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