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作物学报 ›› 2012, Vol. 38 ›› Issue (11): 1997-2006.doi: 10.3724/SP.J.1006.2012.01997

• 作物遗传育种·种质资源·分子遗传学 • 上一篇    下一篇

小麦淀粉糊化特性与DArT标记的关联分析

于海霞,田纪春*   

  1. 山东农业大学作物生物学国家重点实验室 / 山东省作物生物学重点实验室, 山东泰安 271018
  • 收稿日期:2012-03-19 修回日期:2012-07-05 出版日期:2012-11-12 网络出版日期:2012-09-10
  • 通讯作者: 田纪春, E-mail: jctian@sdau.edu.cn, Tel: 0538-8242040
  • 基金资助:

    本研究由国家自然科学基金项目(30971764A)和国家转基因生物新品种培育重大专项(2011ZX08002-003)资助。

Association between Starch Pasting Properties and DArT Markers in Common Wheat

YU Hai-Xia,TIAN Ji-Chun*   

  1. State Key Laboratory of Crop Biology / Shandong Key Laboratory of Crop Biology, Shandong Agricultural University, Tai’an 271018, China
  • Received:2012-03-19 Revised:2012-07-05 Published:2012-11-12 Published online:2012-09-10
  • Contact: 田纪春, E-mail: jctian@sdau.edu.cn, Tel: 0538-8242040

摘要:

小麦淀粉糊化特性是评价小麦加工品质和品质育种的重要指标之一。对不同年份和地点5个环境生长的矮孟牛姊妹系及其衍生系共109份材料的RVA参数(峰值黏度、低谷黏度、稀澥值、最终黏度、回生值和糊化温度)观测, 并利用混合线性模型分析其与覆盖小麦全基因组的971个DArT (Diversity Array Technology)标记的关联性。结果表明, 分布于19条染色体上的70个DArT标记与上述RVA参数显著关联(P≤0.001), R2值范围是0.2%~23.3%。2A、2B和2D染色体上标记与多个RVA参数都有关联, 且效应值较大。这为淀粉湖化特性的分子标记辅助选择提供了重要的信息。

关键词: 小麦, 淀粉糊化特性, 矮孟牛, 关联分析, DArT标记

Abstract:

Starch pasting properties are important indicators in the evaluation of processing quality and quality breeding in wheat (Triticum aestivum L.), which are commonly represented by RVA parameters including peak viscosity, trough viscosity, breakdown, final viscosity, setback, and pasting temperature. These RVA parameters of Aimengniu and its derived progenies planted in five environments in two locations from 2007 to 2010 were determined, and the association between the RVA parameters and 971 DArT (Diversity Array Technology) markers were analyzed using mixed linear model. Seventy DArT markers distributed on 19 chromosomes were significantly associated with the six RVA parameters (P ≤ 0.001, R2 = 0.2–23.3%). The markers on chromosomes 2A, 2B, and 2D were identified to have large effects and associated with several RVA parameters. This result provides an important information for marker-assisted selection on starch pasting properties in wheat.

Key words: Wheat, RVA parameters, Aimengniu, Association mapping, DArT markers

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