植物学报 ›› 2023, Vol. 58 ›› Issue (3): 394-403.DOI: 10.11983/CBB22259

• 研究报告 • 上一篇    下一篇

水稻叶绿素含量QTL定位与候选基因表达分析

金佳怡1, 罗怿婷1, 杨惠敏1, 芦涛1, 叶涵斐1, 谢继毅1, 王珂欣1, 陈芊羽1, 方媛1, 王跃星2(), 饶玉春1()   

  1. 1浙江师范大学生命科学学院, 金华 321004
    2中国水稻研究所, 水稻生物学国家重点实验室, 杭州 310006
  • 收稿日期:2022-11-08 接受日期:2023-02-09 出版日期:2023-05-01 发布日期:2023-05-17
  • 通讯作者: *E-mail: wangyuexing@caas.cn; ryc@zjnu.cn
  • 基金资助:
    浙江省自然科学基金重点项目(LZ23C130003);国家级大学生创新创业训练计划(202210345029);浙江省大学生科技创新活动计划暨新苗人才计划(2022R404A005)

QTL Mapping and Expression Analysis on Candidate Genes Related to Chlorophyll Content in Rice

Jiayi Jin1, Yiting Luo1, Huimin Yang1, Tao Lu1, Hanfei Ye1, Jiyi Xie1, Kexin Wang1, Qianyu Chen1, Yuan Fang1, Yuexing Wang2(), Yuchun Rao1()   

  1. 1College of Life Sciences, Zhejiang Normal University, Jinhua 321004, China
    2State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou 310006, China

摘要: 水稻(Oryza sativa)是我国主要粮食作物之一。提高水稻叶片叶绿素含量, 进而提高其光合作用效率是实现高产稳产的重要途径之一。该研究以父系籼稻品种华占(HZ)、母系粳稻品种热研2号(Nekken2)及其构建的120个重组自交系(RILs)为实验材料, 在分蘖期和成熟期分别对亲本及其后代剑叶的叶绿素含量(SPAD值)进行测定, 同时基于已构建的高密度遗传连锁图谱进行QTL定位。结果共挖掘到20个与叶绿素含量相关的QTLs (分蘖期7个, 成熟期13个), LOD值最高达4.77。利用qRT-PCR方法检测QTL区间内与叶绿素含量相关的候选基因的表达, 发现LOC_Os06g11780LOC_Os06g12360LOC_Os06g39716LOC_Os08g42610LOC_Os02g18500LOC_Os03g21240LOC_Os03g21400LOC_Os03g21780LOC_Os03g30950LOC_Os03g40550基因的表达量在双亲间差异显著。结合基因表达量及亲本叶绿素表型数据, 推测LOC_Os06g11780LOC_Os06g12360LOC_Os08g42610的高表达极大地提高了水稻叶绿素含量, 进而有效提高植物光合产能。研究结果为筛选和培育高光能利用效率的水稻新品种提供了有利的遗传资源, 并为揭示水稻叶绿素含量的动态变化规律及分子调控机制奠定了重要基础。

关键词: 候选基因, 叶绿素含量, 遗传图谱, 水稻, 光合作用, QTL定位

Abstract: Rice (Oryza sativa) is one of a major food crops in China. Increasing chlorophyll content in rice leaves and thus promoting its photosynthetic efficiency is one of the most important ways to obtain high and stable yields. In this study, 120 recombinant inbred lines (RILs) were constructed from the paternal indica rice HZ and the maternal japonica rice Nekken2 and they were used as experimental materials. We measured the flag leaf chlorophyll content (SPAD) of the parents and their progeny at the tillering and maturing stages. Meanwhile, the quantitative trait locus (QTL) mapping was carried out based on the high-density genetic map. Twenty QTLs related to chlorophyll content (7 at tillering stage and 13 at maturity stage) were identified, with the highest LOD score of 4.77. The expression of candidate genes associated with chlorophyll content within these QTL regions was analyzed by qRT-PCR, which showed that LOC_Os06g11780, LOC_Os06g12360, LOC_Os06g39716, LOC_Os08g42610, LOC_Os02g18500, LOC_Os03g21240, LOC_Os03g21400, LOC_Os03g21780, LOC_Os03g30950, and LOC_Os03g40550 were significantly different between the parents. Combining the gene expression and parental chlorophyll phenotype data, we think that the high expression of LOC_ Os06g11780, LOC_Os06g12360 and LOC_Os08g42610 might greatly enhance the chlorophyll content of rice, which in turn effectively promoted the photosynthetic productivity of the plants. The results provide favorable genetic resources for screening and breeding new rice varieties for efficient light energy utilization, and lay an important foundation for revealing the dynamic change pattern and the molecular regulation mechanism of chlorophyll content in rice.

Key words: candidate genes, chlorophyll content, genetic map, Oryza sativa (rice), photosynthesis, QTL mapping