生物技术通报 ›› 2024, Vol. 40 ›› Issue (2): 9-19.doi: 10.13560/j.cnki.biotech.bull.1985.2023-0790

• 综述与专论 • 上一篇    下一篇

植物生长发育动态QTL解析研究进展

付威(), 韦素云, 陈赢男()   

  1. 林木遗传育种全国重点实验室 现代南方林业协同创新中心 林木遗传与生物技术教育部重点实验室 江苏省林木遗传和高效培育重点实验室 南京林业大学,南京 210037
  • 收稿日期:2023-08-14 出版日期:2024-02-26 发布日期:2024-03-13
  • 通讯作者: 陈赢男,女,博士,教授,研究方向:林木遗传育种;E-mail: chenyingnan@njfu.edu.cn
  • 作者简介:付威,男,硕士研究生,研究方向:林木遗传育种;E-mail: fuwei@njfu.edu.cn
  • 基金资助:
    国家重点研发计划青年科学家项目(2021YFD2201100);国家自然科学基金面上项目(32071795)

Research Progress in the Dynamic QTL Analysis of Plant Growth and Development

FU Wei(), WEI Su-yun, CHEN Ying-nan()   

  1. State Key Laboratory of Tree Genetics and Breeding, Co-Innovation Center for Sustainable Forestry in Southern China, Key Laboratory of Tree Genetics and Biotechnology of Educational Department of China, Key Laboratory of Tree Genetics and Silvicultural Sciences of Jiangsu Province, Nanjing Forestry University, Nanjing 210037
  • Received:2023-08-14 Published:2024-02-26 Online:2024-03-13

摘要:

准确而有效的QTL定位是克隆目的基因、开展分子育种的前提和基础。植物生长发育随外界环境因子变化而变化,其动态发育的不同时期表型是不同主效基因/QTL动态表达的结果,基于生长停滞期表型数据的传统主效基因/QTL分析只能估算QTL在多个时期的累积效应,并不能充分反映该基因位点在发育过程中的真实作用模式及效应,不能真实反映QTL在不同发育时期的动态表达模式,无法获取数量性状的动态信息。全生长周期的动态QTL分析为在分子水平上研究植物生长发育动态的遗传机制、鉴定主效基因提供了良好策略。本文总结了动态QTL分析的遗传模型、分析方法及其在植物发育数量性状定位中的研究进展,并对当前动态QTL分析存在的问题和发展趋势进行了展望,以期为植物生长发育动态QTL解析及分子标记辅助选育提供参考。

关键词: 动态QTL, 条件QTL, 植物生长发育, 遗传模型, 条件分析法, 功能作图

Abstract:

Accurate and effective quantitative trait locus(QTL)mapping is the prerequisite for gene cloning and molecular breeding. Plant growth and development are affected by external environmental factors, and phenotypes at different developmental stages are formed due to the dynamic expressions of different major genes or QTLs. The conventional gene/QTL analysis based on the phenotypic data collected at stationary growth phase can only be used to estimate the cumulative effects of QTLs over a long period of time. It cannot reveal the actual effects and functional modes of the loci during the developmental process. Besides, the static QTL mapping method neglected the dynamic expression patterns of QTLs, leading to missing of information about dynamic variations of quantitative traits. Dynamic QTL analysis of the whole growth cycle provides an elite strategy for investigating the genetic mechanisms and dissecting major QTLs underlying plant growth and development. In this review, we briefly summarized the genetic models and analytical methods for dynamic QTL detection, as well as the research progress on mapping quantitative traits of plant development. We further proposed the current issues and future trends in the area of dynamic QTL analysis, which would provide references not only for dynamic QTL analysis during plant growth and development but also for molecular breeding based on marker-assisted selection.

Key words: dynamic QTL, conditional QTL, plant growth and development, genetic model, conditional analysis, functional mapping