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作物学报 ›› 2014, Vol. 40 ›› Issue (04): 751-759.doi: 10.3724/SP.J.1006.2014.00751

• 研究简报 • 上一篇    

基于QTL定位的蓖麻株高性状遗传解析

刘臣**,陆建农**,殷学贵*,毕川,文淡悠,郑军,刘帅,石卓兴,成粤湘   

  1. 广东海洋大学农学院, 广东湛江 524088
  • 收稿日期:2013-09-18 修回日期:2014-01-12 出版日期:2014-04-12 网络出版日期:2014-01-12
  • 通讯作者: 殷学贵, E-mail: yinxuegui@126.com
  • 基金资助:

    本研究由国家自然科学基金项目(31271759), 广东省教育厅项目[粤财教(2009)109号]和广东海洋大学大学生创新实验项目(cxsy200915)资助。

Genetic Analysis of Traits Related to Plant Height in Ricinus communis L. Based on QTL Mapping

LIU Chen**,LU Jian-Nong**,YIN Xue-Gui*,BI Chuan,WEN Dan-You,ZHENG Jun,LIU Shuai,SHI Zhuo-Xing,and CHENG Yue-Xiang   

  1. Agricultural College of GuangDong Ocean University, Zhanjiang 524088, China
  • Received:2013-09-18 Revised:2014-01-12 Published:2014-04-12 Published online:2014-01-12
  • Contact: 殷学贵, E-mail: yinxuegui@126.com

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摘要：

用YC2(高杆)×YF1(矮杆)和YC1(高杆)×YF1(矮杆)组合衍生的2个F2代群体, 对蓖麻株高性状进行相关、回归和QTL定位分析。结果表明, 株高与主穗位高、主茎节长和主茎茎粗之间显著正相关, 但与主茎节数不相关；主穗位高与主茎节数、主茎节长和主茎茎粗之间显著正相关；主茎节数与主茎节长之间显著负相关。利用QTLNetwork 2.0软件在YC2×YF1的F2群体中检测到株高、主穗位高、主茎节数、主茎节长和主茎茎粗的5、4、6、3和2个QTL, 分别解释了45.9%、45.3%、66.1%、55.4%和12.6%的总变异。在YC1×YF1的F2群体中检测到3、4、5、1和2个上述5性状的QTL, 分别解释了26.0%、25.5%、35.4%、37.4%和7.6%的总变异。证明QTL间的“一因多效”和连锁是株高、主穗位高和主茎节长之间高度相关的遗传基础, 加性效应是株高、主穗位高和主茎节长的主要遗传组分, 互作效应是主茎节数和主茎茎粗的主要遗传组分。建议育种上将主穗位高和主茎节长作为株高早期选择和预测的间接指标,并将多节数和短节间作为高产育种的主攻方向。

关键词: 蓖麻, 株高性状, QTL定位, 遗传解析

Abstract:

The traits related to plant height were analyzed with correlation, regression and QTL mapping in two F2 populations derived from crosses of YC2×YF1 and YC1×YF1 respectively. The results indicated that plant height (PH) was significantly and positively correlated with bearing height of primary raceme (PRH), length of main stem internode (MSIL) and main stem diameter (MSD) but not with node number of main stem (MSNN), PRH was significantly and positively correlated with MSNN, MSIL and MSD, MSNN and MSIL was significantly and negatively correlated with each other. In F2 population from a cross of YC2×YF1, five, four, six, three, and two QTLs for PH, PRH, MSNN, MSIL, and MSD were detected by QTLnetwork 2.0, which explained for 45.9%, 45.3%, 66.1%, 55.4%, and 12.6% of the phenotypic variation respectively. In F2 population from a cross of YC1×YF1, three, four, five, one and two QTLs for the five traits mentioned above were detected, which explained for 45.9%, 45.3%, 66.1%, 55.4%, and 12.6% of the phenotypic variation respectively. We concluded that the pleiotropy or linkage between QTLs results in the positive correlation between PH, PRH and MSIL, the additive effect was the main genetic component of PH, PRH, MSIL, and the epistatic effect is the main genetic component of MSNN and MSD. It suggested that PRH and MSIL should be used to select and predict PH indirectly in the early stage, more MSNN and shorter MSIL should be regarded as the target traits for high-yield breeding.

Key words: Ricinus communis L., Traits related to plant height, QTL mapping, Genetic analysis

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