生物技术通报 ›› 2026, Vol. 42 ›› Issue (3): 187-202.doi: 10.13560/j.cnki.biotech.bull.1985.2025-1227

• 综述与专论 • 上一篇    下一篇

从野生到栽培:番茄果实色泽的演化与调控机制

刘淼1(), 林涛2, 贾乐松1, 胡丰1, 李涛1, 李志万1, 刘美芳1, 郑方燕1(), 崔龙1()   

  1. 1.赣南师范大学生命科学学院,赣州 341000
    2.泉州市农业科学研究所,晋江 362212
  • 收稿日期:2025-11-14 出版日期:2026-03-26 发布日期:2026-04-23
  • 通讯作者: 崔龙,男,博士,副研究员,研究方向 :蔬菜学;E-mail: jingling5161@126.com
    郑方燕,女,博士,讲师,研究方向 :蔬菜学;E-mail: fangyanzheng1991@163.com
  • 作者简介:刘淼,男,硕士,研究方向:生物信息学;E-mail: 2033251151@qq.com
    第一联系人:林涛为本文共同第一作者
  • 基金资助:
    国家自然科学基金项目(32072595);国家自然科学基金项目(32360766);江西省自然科学基金项目(20242BAB25377)

From Wild to Cultivated: Evolution and Regulatory Mechanisms of Tomato Fruit Color

LIU Miao1(), LIN Tao2, JIA Le-song1, HU Feng1, LI Tao1, LI Zhi-wan1, LIU Mei-fang1, ZHENG Fang-yan1(), CUI Long1()   

  1. 1.Institute of Life Science, Gannan Normal University, Ganzhou 341000
    2.Quanzhou Institute of Agricultural Sciences, Jinjiang 362212
  • Received:2025-11-14 Published:2026-03-26 Online:2026-04-23

摘要:

番茄(Solanum lycopersicum)果实在野生种到栽培种的演化与驯化过程中逐渐呈现出色泽多样性。野生番茄果实的颜色特征(如绿色或黄色)是其长期适应性演化的选择结果,赋予植株关键生态适应能力;而栽培番茄中丰富的颜色变异则主要受到人工驯化过程中人类选择偏好的影响。本文系统梳理了番茄果实色泽形成的遗传调控机制,重点聚焦于类胡萝卜素、叶绿素以及花青素三大核心代谢途径中关键基因的调控网络,深入阐释了自然选择与人工选择在驱动果实颜色多样性形成过程中的交互作用。目前,对番茄果实色泽形成的机理研究已形成较为完整且系统的认知体系。调控番茄红色、黄色、粉色、绿色及紫色等主要果实色泽表型的主效基因已基本明确,相关研究正从单一结构基因的功能解析,逐步拓展至涵盖RIN、NOR等成熟调控因子,以及MYB、bHLH等家族转录因子在内的复杂调控网络的系统解析。多组学技术的整合应用,进一步阐明了果实色泽形成过程中的多层次动态调控机制。现代育种技术的快速发展,特别是基因编辑技术的应用,进一步拓宽了果实颜色的变异范围。此外,色泽形成与糖、酸、香气等重要品质性状之间的协同调控日益受到关注,这表明果实颜色不仅是单纯的视觉特征,更是衡量果实综合品质的重要指示性状。未来研究可从分子调控、多性状耦合、育种转化等多维度系统推进,构建从基础理论到育种应用的全链条研究体系。

关键词: 番茄, 果实颜色, 类胡萝卜素, 叶绿素, 花青素, 代谢途径, 基因编辑

Abstract:

During the evolution and domestication from wild relatives to cultivated varieties, the fruits of tomato (Solanum lycopersicum) have gradually developed diverse coloration patterns. The color characteristics of wild tomato fruits (such as green or yellow) are the outcomes of long-term adaptive evolution, endowing the plants with critical ecological adaptability. In contrast, the rich color variations in cultivated tomatoes are mainly shaped by human selection preferences during artificial domestication. This paper systematically summarizes and clarifies the genetic regulatory mechanisms underlying tomato fruit color formation, with a key focus on the regulatory networks of core genes involved in three major metabolic pathways: carotenoid, chlorophyll, and anthocyanin biosynthesis. It further elaborates the interactive effects of natural and artificial selection in driving the diversification of fruit color traits. Currently, a relatively comprehensive and systematic understanding of the mechanisms governing tomato fruit color formation has been established. The major genes controlling the main fruit color phenotypes of tomato, including red, yellow, pink, green, and purple, have been largely identified. Relevant studies are gradually expanding from the functional analysis of individual structural genes to the systematic dissection of complex regulatory networks involving ripening-related regulatory factors (such as RIN and NOR) and transcription factors from the MYB and bHLH families. The integration of multi-omics technologies has further elucidated the multi-layered dynamic regulatory mechanisms underlying fruit color formation. The rapid development of modern breeding technologies, especially the application of gene editing tools, has further expanded the range of fruit color variations. In addition, growing attention is being paid to the coordinated regulation between color formation and other key quality traits (e.g., sugar content, acidity, and aroma), indicating that fruit color is not merely a visual characteristic but also an important indicator of comprehensive fruit quality. Future research should advance from multiple dimensions, including molecular regulation, multi-trait coupling, and breeding translation, to construct a full-chain research system spanning from basic theoretical mechanisms to breeding applications.

Key words: tomato, fruit color, carotenoids, chlorophylls, anthocyanins, metabolic pathways, gene editing