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基于玉米野生近缘种大刍草渗入系群体的出苗率QTL定位分析
胡锦祥, 肖仁杰, 柳志华, 朱雪晴, 李芳, 徐莹, 罗红兵, 黄成
0
(湖南农业大学农学院)
摘要:
玉米出苗率不仅受温度、水分等外部环境因素的影响,同时也受到内部遗传因素的控制,直接影响玉米产量,是 玉米育种重要的目标性状之一。本研究利用一套以玉米野生近缘种大刍草(Zea mays ssp. parviglumis)为供体亲本,现代玉米 自交系W22 为受体亲本构建的包含866 个家系的渗入系群体,结合均匀覆盖玉米全基因组的19838 个SNP 分子标记,采用 R/qtl 的多QTL 模型对玉米出苗率进行高精度的QTL 定位分析。结果共检测到3 个控制玉米出苗率的QTL:qFGR4-1、qFGR5-1 和qFGR8-1,分别位于第4、5 和8 染色体,两侧的分子标记分别为m20780 与m21277、m29418 与m29680、m44383 与m44706。 3 个QTL 共解释11.2%的表型变异,单个QTL 表型贡献率的变幅为2.8%~4.8%,加性效应的变幅为4.5%~7.4%,表明玉米出 苗率属于典型的数量性状,由微效多基因控制。3 个QTL 均来自W22 的等位基因增加出苗率,表明玉米出苗率在玉米长期驯 化和改良过程中可能受到定向选择。本研究为进一步解析玉米出苗率的遗传基础,克隆相关基因和通过分子标记辅助选择改 良玉米出苗率提供了重要的参考价值。
关键词:  玉米  大刍草  渗入系群体  出苗率  QTL定位
DOI:10.13430/j.cnki.jpgr.20200603001
投稿时间:2020-06-03修订日期:2020-06-23
基金项目:湖南省教育厅优秀青年项目(18B117);作物种质创新与资源利用重点实验室开放研究项目(19KFXM10);湖南农业大学“双一流”学科建设项目(SYL2019004)
QTL Mapping for Field Germination Rate Using an Introgression Line Population from a Cross between Maize and Teosinte
HU Jin-xiang, XIAO Ren-jie, LIU Zhi-hua, ZHU Xue-qing, LI Fang, XU Ying, LUO Hong-bing, HUANG Cheng
(College of Agronomy, Hunan Agricultural University)
Abstract:
The field germination rate of maize seeds, which is controlled by the genetic factors that interact with environmental factors (i.e. temperature, water), directly affects yield production and severs as one of the important targets in maize breeding. In this study, we performed a high-resolution QTL mapping for field germination rate using the multiple QTL model implemented in R/qtl. The introgression line population including 866 lines was derived from a cross between a maize inbred line W22 and a typical accession of teosinte, the wild progenitor of maize, followed by genotyping with 19,838 SNP markers. Three QTL were detected including qFGR4-1, qFGR5-1 and qFGR8-1, which were flanked by the markers m20780 and m21277 on chromosome 4, m29418 and m29680 on chromesome 5, as well as m44383 and m44706 on chromosome 8, respectively. Three loci attributed to 11.2% of the phenotypic variation, with the phenotypic contribution rate and additive effect of each QTL ranged from 2.8% to 4.8% and from 4.5% to 7.4%, respectively. These results indicated that the field germination rate is a typical quantitative trait, which is controlled by multiple micro-effect genes. In addition, the W22 alleles at three loci showed positive additive effects, suggesting that field germination rate might have experienced a directional selection during maize domestication and improvement. Collectively, this study might provide important reference for future elucidating the genetic basis of field germination rate, cloning key genes and improving field germination rate using molecular marker-assisted selection in maize.
Key words:  maize  teosinte  introgression line population  field germination rate  QTL mapping

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