Chen Zheng, Shen Zijie, Xu Lei, Zhao Da, Zou Quan
School of Applied Chemistry and Biological Technology, Shenzhen Polytechnic, Shenzhen, China.
Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, China.
Front Cell Dev Biol. 2020 Dec 3;8:621464. doi: 10.3389/fcell.2020.621464. eCollection 2020.
Rice and maize are the principal food crop species worldwide. The mechanism of gene regulation for the yield of rice and maize is still the research focus at present. Seed size, weight and shape are important traits of crop yield in rice and maize. Most members of three gene families, APETALA2/ethylene response factor, auxin response factors and MADS, were identified to be involved in yield traits in rice and maize. Analysis of molecular regulation mechanisms related to yield traits provides theoretical support for the improvement of crop yield. Genetic regulatory network analysis can provide new insights into gene families with the improvement of sequencing technology. Here, we analyzed the evolutionary relationships and the genetic regulatory network for the gene family members to predicted genes that may be involved in yield-related traits in rice and maize. The results may provide some theoretical and application guidelines for future investigations of molecular biology, which may be helpful for developing new rice and maize varieties with high yield traits.
水稻和玉米是全球主要的粮食作物品种。目前，水稻和玉米产量的基因调控机制仍是研究重点。种子大小、重量和形状是水稻和玉米作物产量的重要性状。APETALA2/乙烯响应因子、生长素响应因子和MADS这三个基因家族的大多数成员被确定与水稻和玉米的产量性状有关。对产量性状相关分子调控机制的分析为作物产量的提高提供了理论支持。随着测序技术的改进，遗传调控网络分析可以为基因家族提供新的见解。在此，我们分析了基因家族成员的进化关系和遗传调控网络，以预测可能参与水稻和玉米产量相关性状的基因。这些结果可能为未来的分子生物学研究提供一些理论和应用指导，这可能有助于培育具有高产性状的水稻和玉米新品种。
