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作物学报 ›› 2010, Vol. 36 ›› Issue (1): 61-67.doi: 10.3724/SP.J.1006.2010.00061

• 作物遗传育种·种质资源·分子遗传学 • 上一篇    下一篇

小麦DH群体穗下节间直径、茎壁厚及茎壁面积的QTL定位

桑云1,赵亮2,张坤普2,田纪春2,*,叶宝兴1,*   

  1. 1山东农业大学生命科学学院/作物生物学国家重点实验室，山东泰安，271018；2山东农业大学农学院/作物生物学国家重点实验室/小麦品质育种研究室，山东泰安271018
  • 收稿日期:2009-04-16 修回日期:2009-07-25 出版日期:2010-01-12 网络出版日期:2009-11-17
  • 通讯作者: 田纪春, E-mail: jctian@sdau.edu.cn, Tel: 0538-8242040; 叶宝兴, E-mail: yeb@sdau.edu.cn, Tel: 0538-8242561
  • 基金资助:

    本研究由国家自然科学基金（30671270）和国家重点基础研究发展计划（973计划）项目（2009CB118301）资助。

Mapping QTLs for Uppermost Internode Diameter and Thickness and Area of Culm Wall with Doubled-Haploid Population in Wheat 

SANG Yun1,ZHAO Liang2,ZHANG Kun-Pu2,TIAN Ji-Chun2,*, YE Bao-Xing1,*   

  1. 1 College of Life Science / State Key Laboratory of Crop Biology, Shandong Agricultural University, Tai’an 271018, China; 2 College of Agronomy / State Key Laboratory of Crop Biology / Group of Quality Wheat Breeding, Shandong Agricultural University, Tai’an 271018, China
  • Received:2009-04-16 Revised:2009-07-25 Published:2010-01-12 Published online:2009-11-17
  • Contact: TIAN Ji-Chun, E-mail: jctian@sdau.edu.cn, Tel: 0538-8242040; 叶宝兴, E-mail: yeb@sdau.edu.cn, Tel: 0538-8242561

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1540

被引次数

18

摘要：

由小麦品种花培3号和豫麦57杂交获得168个DH株系，连续两年在山东泰安种植，利用324个SSR标记构建遗传连锁图谱，并基于混合线性模型对控制穗下节间直径、茎壁厚及茎壁面积的QTL遗传效应和环境互作效应进行分析。共检测到10个加性效应位点和6对上位效应位点，其中3个加性位点参与环境互作效应。检测到位于染色体2D、3D和5D(2个)控制穗下节间直径的4个加性QTLs，与控制茎壁厚的3个加性位点相同或相邻，表现出一因多效或紧密连锁效应。两个位于染色体2D和5D控制茎壁厚和茎壁面积QTL有较大遗传贡献率，分别为11.37%和10.98%，适用于分子标记辅助育种和聚合育种。6对上位性效应遗传贡献率较小、无环境互作效应。

关键词: 小麦, 数量性状位点, 茎壁厚, 穗下节间, DH群体

Abstract:

A population of 168 doubled haploid derived from two elite Chinese wheat (Triticum aestivum L.) cultivars Huapei 3 and Yumai 57, grown in two continuous cropping seasons in Tai’an, Shandong province, was used to investigate the genetic basis of uppermost internode diameter (UID) and thickness (CWT) and area (CWA) of culm wall in wheat. The quantitative trait loci (QTLs) for each trait were analyzed based on the constructed molecular linkage map of this population, including 324 SSR markers covering the whole wheat genome. The additive effects, epistatic effects, and their interactions with environment were identified by using the mixed linear model approach. A total of ten additive QTLs and six pairs of epistatic QTLs were detected. Among the ten QTLs, three had interactions with environment. For UID, four QTLs were detected on chromosomes 2D, 3D, and 5D (two regions), and explained 14.98% of phenotypic variation. Three QTLs for CWT were identified and accounted for 14.41% of the variation in the same or close region chromosome of UID, which showed pleiotropisms or tight linkages. Three QTLs on chromosome 3D, 4B and 5D controlling CWA explained 19.03% of the variation. Two intervals of XCFD53–XWMC18 and XWMC215–XBARC34 on chromosomes 2D and 5D for thickness and area of culm wall explained 11.37% and 10.98% phenotypic variation, respectively. They could be used in marker-assisted selection. For the six epistatic QTLs, the epistatic effects were not significant and without epistatic × environment interactions. These QTLs accounted for 19.01% of the observed phenotypic variation, without any additive effects (except qCWA-3D) of their own but involved in epistatic interactions. Such loci might play the role of modifying agents that tend to activate other loci or modify the action of other loci.

Key words: Wheat, Quantitative trait loci, Culm wll thickness, Uppermost internode, Doubled haploid population

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