| 陈 可，周新桥，陈达刚，郭 洁，陈平丽，李逸翔，刘传光，陈友订.复杂信号通路参与调控水稻粒重相关基因研究进展[J].广东农业科学,2021,48(10):1-12 |
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复杂信号通路参与调控水稻粒重相关基因研究进展 |
| Research Progress of Complicated Signaling PathwayRelated Genes Involving in Rice Grain Weight |
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| DOI：10.16768/j.issn.1004-874X.2021.10.001 |
| 中文关键词: 水稻 粒重 细胞增殖 细胞伸长 信号调控网络 |
| 英文关键词: rice grain weight cell prolferation cell expansion signal regulatory network |
| 基金项目:广 东 省 自 然 科 学 基 金 面 上 项 目（2021A1515011112）； 广 东 省 重 点 领 域 研 发 计 划 项 目（2020B0202090003）；广东省重点实验室运行费专项（2020B1212060047） |
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| 中文摘要: |
| 水稻粒重是决定水稻单株产量的重要因素之一。过去 20 年对水稻粒重的研究方兴未艾，运用分子
生物学、遗传学等手段对水稻粒重和粒型进行研究，目前已有多条复杂信号通路调控途径被揭示。水稻粒重的
研究大大拓展了人们对水稻种子细胞发育过程细胞分裂、分化及灌浆的动态变化研究和认识。迄今为止，包括
泛素化途径、G- 蛋白偶联途径、激素调控途径、光合作用调控途径、表观调控途径和 micro RNA 调控途径等大
量决定水稻粒重相关基因已被克隆和鉴定。综述了近年来对于参与水稻粒重影响因素及不同信号途径相关基因
的研究进展，分析多个利用现代基因编辑技术的成功案例，并且展望通过多种人工智能、大数据信息技术及新
型农业自动化无人技术和高效环境水土控制技术准确显著提高水稻产量和稻米品质、抗性的生物育种“4.0 时代”。
最后，提出基于智慧农业，推动我国农业高质量发展、乡村振兴的配套技术与现代分子生物学、遗传学及生物
信息学相结合、从理论到成果转化的未来发展方向。 |
| 英文摘要: |
| Grain weight is one of the important factors that determine the yield per plant of rice. Over the last two
decades, researches on rice grain weight and grain size have been continuously boosting by molecular biological and genetic
methods. Until now, multiple complicated signaling pathways have been well revealed. These studies focusing on rice
grain weight have largely expanded the understanding of the dynamics of the cell division, differentiation and filling rate
during certain spatially period of rice seed development. A large number of genes related to rice grain weight determination
heretofore have been cloned and identified, including ubiquitination pathway, G-protein coupled pathway, hormone regulation pathway, photosynthesis regulation pathway, epigenetic regulation pathway and micro RNA regulation pathway.
This review integrates recent advances on multiple signaling pathways and factors which involve in regulating rice grain weight
and analyzes several successful cases using modern gene-editing technologies, subsequently offers a prospect for the“4.0
era” of biological breeding by combining various artificial intelligence technologies, big data and newly developed automatic
and unmanned technologies as well as efficient environment, water and soil control technologies to significantly improve the
grain weight, quality and resistance of rice. Finally, based on smart agriculture, we propose the future development direction
of promoting the high-quality development of China's agriculture and the rural revitalization by combining the supporting
technologies with modern molecular biology, genetics and bioinformatics to realize the objective from theory to application. |
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