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作物学报 ›› 2011, Vol. 37 ›› Issue (09): 1511-1524.doi: 10.3724/SP.J.1006.2011.01511

• 作物遗传育种·种质资源·分子遗传学 • 上一篇    下一篇

利用小麦关联RIL群体定位产量相关性状QTL

丁安明1，李君1，崔法1，赵春华1，马航运2，王洪刚1,*   

  1. 1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 / 国家小麦改良中心泰安分中心 / 山东农业大学农学院，山东泰安 271018；2枣庄市农业科学研究院，山东枣庄 277100
  • 收稿日期:2011-01-14 修回日期:2011-05-20 出版日期:2011-09-12 网络出版日期:2011-06-28
  • 通讯作者: 王洪刚, E-mail: hgwang@sdau.edu.cn, Tel: 0538-8242141
  • 基金资助:

    本研究由国家重点基础研究发展计划(973计划)项目(2006CB101700)资助。

QTL Mapping for Yield Related Traits Using Two Associated RIL Populations of Wheat

DING An-Ming1,LI Jun1,CUI Fa1,ZHAO Chun-Hua1,MA Hang-Yun2,WANG Hong-Gang1,*   

  1. 1 State Key Laboratory of Crop Biology / Shandong Key Laboratory of Crop Biology / Tai’an Subcenter of National Wheat Improvement Center / Agronomy College, Shandong Agricultural University, Tai’an 271018, China; 2 Zaozhuang Municipal Academy of Agricultural Sciences, Zaozhuang 277100, China
  • Received:2011-01-14 Revised:2011-05-20 Published:2011-09-12 Published online:2011-06-28
  • Contact: 王洪刚, E-mail: hgwang@sdau.edu.cn, Tel: 0538-8242141

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2449

被引次数

41

摘要： 为定位控制小麦产量相关性状的QTL位点，获得与重要位点连锁的分子标记和染色体区段，以分别含有229和485个家系的关联重组自交系(RIL)群体WY和WJ为材料，在4个环境中，用完备区间作图法(ICIM)对产量相关性状进行了QTL定位分析。结果表明，产量相关性状QTL分布在小麦21条染色体上。在WY群体中检测到每穗小穗数、主茎穗粒数、单株穗数、千粒重和单株产量的QTL分别有9、9、4、7和5个，其中16个(55.2%)解释大于10%的表型变异；在WJ群体中检测到这5个性状的QTL分别有20、16、11、14和9个，其中只有3个(6.7%)在单个环境中解释超过10%的表型变异。在WY群体中有5个QTL在2个环境中被重复检测到；在WJ群体中，有11个QTL在2个或2个以上环境中被重复检测到。在2个群体中均检测到产量相关性状的QTL在染色体上形成了含有一因多效或紧密连锁QTL的染色体区段，并在2个群体检测到可能相同的9对QTL和2个染色体区段。

关键词: 小麦, 产量相关性状, 完备区间作图法(ICIM), QTL

Abstract: Using inclusive composite interval mapping (ICIM) method, we detected QTLs responsible for spikelet number per spike (SN), grain number per spike (GN), spike number per plant (PN), 1000-grain weight (GW), and grain yield per plant (GY) in associated RIL populations WY (229 lines) and WJ (485 lines), which were planted in four growing environments. Numerous QTLs for the five yield-related traits were located on 21 chromosomes of wheat. In the WY population, nine, nine, four, seven, and five QTLs were detected for SN, GN, PN, GW, and GY, respectively. Among these QTLs, 16 explained more than 10% of the phenotypic variations. In the WJ population, the numbers of QTLs for the above five traits were 20, 16, 11, 14, and 9, respectively, of which only three QTLs had phenotypic contribution higher than 10%. In addition, five QTLs were identified in two environments in the WY population and 17 QTLs were identified in at least two environments in the WJ population. Pleiotropy phenomenon or chromosome regions with closely linked QTLs were observed in both populations. Nine pairs of QTLs and two chromosome regions were inferred to be identical between the two populations because these QTLs and chromosome regions shared the same flanking markers. These results may enrich the QTL information for yield components of wheat and facilitate marker assisted selection.

Key words: Wheat, Yield-related traits, Inclusive composite interval mapping method (ICIM), QTL

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