Identification and meta-analysis of QTLs for four leaf shape traits in two maize populations under contracting watering environments

文献类型： 外文期刊

第一作者： Zhong, Yuan

作者： Zhong, Yuan;Zhao, Xiaoqiang;Li, Wenli;Zhou, Wenqi

作者机构：

关键词： Maize; Leaf shape; QTLs; Meta-analysis; Drought

期刊名称：GENETIC RESOURCES AND CROP EVOLUTION （ 影响因子：1.524； 五年影响因子：1.713 ）

ISSN： 0925-9864

年卷期： 2021 年 68 卷 4 期

页码：

收录情况： SCI

摘要： Maize leaf length, leaf width, leaf angle, and leaf orientation value are determinant traits influencing leaf shape, yield potential, and can sense water stress signals. However, little is known regarding their genetic controls under drought stress. Using two F-3 populations, we identified 72 QTLs under contrasting environments at V18 and R1 stages by single-environment mapping, 58.3% QTLs were identified under drought-stressed environments. Thirty-three joint QTLs were detected by joint analysis of all environments, 7 QTLs involved in QTL-by-environment interactions, 11 pair epistasis exhibited additive-by-additive effects. Twelve constitutive QTLs were dissected that will be potentially useful for genetic improvement of maize leaf development through QTL pyramiding. Additionally, 13 meta-QTLs were identified via meta-analysis, 15 candidate genes were identified in these meta-QTLs. These results provide valuable information for QTLs fine mapping, revealing genetic mechanisms of leaf shape under contrasting watering environments, and alleles provide useful targets for marker-assisted selection breeding.

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