茄果类蔬菜株型性状研究进展

    Advances in Plant Architecture Traits of Solanaceous Vegetables

    • 摘要: 茄果类蔬菜(番茄、茄子、辣椒)是全球重要的蔬菜作物,其株型性状直接关系到产量潜力、机械化适配性与资源利用效率,已成为育种与栽培研究的核心方向。该文系统综述近年来该领域的主要进展,重点从影响因素、分子基础、高通量表型技术与实际应用等方面展开。首先,整合分析内源激素(如赤霉素、生长素、细胞分裂素等)与外源环境因子(包括光、温、水、肥及整枝等栽培措施)对株高、分枝数、叶型等关键株型性状的协同调控作用。其次,梳理基于BSA、GWAS、图位克隆等遗传定位策略在三大作物中鉴定的关键基因(如番茄SlGID1a、辣椒CaSLR1、茄子dwf等),并归纳以激素信号通路为核心、多层级互作的分子调控网络。再次,评述高通量表型技术的发展,重点涵盖基于机器视觉、光谱传感及深度学习的无损、动态、精准表型获取方法。最后,总结分子标记辅助选择、CRISPR/Cas9基因编辑与智能环境调控系统在理想株型创制与高效生产中的融合实践。未来研究应聚焦于解析复杂的基因-环境互作机制,开发适用于田间场景的低成本、高精度表型平台,并构建兼顾产量、品质与抗逆性的多性状协同改良育种体系,为茄果类蔬菜产业绿色高质量发展提供理论支撑与技术路径。

       

      Abstract: Solanaceous vegetables (including tomato, eggplant, and pepper) are economically important vegetable crops worldwide. Their plant architecture traits are directly associated with yield potential, mechanization adaptability, and resource utilization efficiency, and have thus become a core focus of breeding and cultivation research. This paper systematically reviews the major research advances in this field in recent years, with emphasis on four aspects: influencing factors, molecular basis, high-throughput phenotyping technologies, and practical applications. Firstly, we comprehensively analyze the synergistic regulatory effects of endogenous hormones (e.g., gibberellins, auxins, cytokinins) and exogenous environmental factors (including light, temperature, water, fertilizers, and cultural practices such as pruning) on key plant architecture traits, such as plant height, branch number, and leaf morphology. Secondly, we summarize key genes identified in these three crops via genetic mapping strategies including bulked segregant analysis (BSA), genome-wide association study (GWAS), and map-based cloning—such as SlGID1a in tomato, CaSLR1 in pepper, and dwf in eggplant—and further generalize the hierarchical and interactive molecular regulatory networks centered on hormone signaling pathways. Thirdly, we evaluate the development of high-throughput phenotyping technologies, focusing on non-destructive, dynamic, and precise phenotyping acquisition methods based on machine vision, spectral sensing, and deep learning. Finally, we conclude the integrated applications of marker-assisted selection, CRISPR/Cas9-mediated gene editing, and intelligent environmental control systems in the creation of ideal plant architecture and efficient production practices. Future research should focus on decoding the complex gene-environment interaction mechanisms, developing low-cost and high-precision phenotyping platforms suitable for field conditions, and constructing multi-trait synergistic improvement breeding systems that balance yield, quality, and stress resistance. These efforts will provide theoretical support and technical pathways for the green and high-quality development of the solanaceous vegetable industry.