QTL mapping and epistasis analysis of brace root traits in maize

被引:48
|
作者
Ku, L. X. [1 ,2 ]
Sun, Z. H. [1 ,2 ]
Wang, C. L. [1 ,2 ]
Zhang, J. [1 ,2 ]
Zhao, R. F. [1 ,2 ]
Liu, H. Y. [1 ,2 ]
Tai, G. Q. [1 ,2 ]
Chen, Y. H. [1 ,2 ]
机构
[1] Henan Agr Univ, Coll Agron, Zhengzhou 450002, Peoples R China
[2] Henan Agr Univ, Key Lab Physiol Ecol & Genet Improvement Food Cro, Zhengzhou 450002, Peoples R China
基金
中国国家自然科学基金;
关键词
Maize; RIL; IF2; population; QTL; Epistatic effect; Root architecture; ZEA-MAYS L; WATER REGIMES; GRAIN-YIELD; PHOSPHORUS; LOCI; ARCHITECTURE; BARLEY; GROWTH;
D O I
10.1007/s11032-011-9655-x
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Root architecture is a major factor influencing root lodging, which limits greater yield stability at high planting density. Total brace root tier number (TBRTN) and effective brace root tier number (EBRTN) are the two most important root architecture traits influencing root lodging. However, the genetic mechanisms that underlie these traits remain poorly understood. In this study, quantitative trait loci (QTL) for TBRTN and EBRTN were mapped using a set of 201 recombinant inbred lines (RILs) and 278 immortalized F2 (IF2) populations derived from these RILs, which were evaluated in three environments. Ten QTL in the RILs and 15 QTL in the IF2 population were detected. In the two populations, we identified two coincident major QTL for TBRTN and a single identical major QTL for EBRTN. The QTL for TBRTN showed the largest additive effect, accounting for 16.36 and 17.88% of the phenotypic variance in the RILs and IF2 population, respectively. Additional epistatic effects were identified for all the maize chromosomes, except for chromosome 4. Most epistatic effects involved pairs of loci that were on different chromosomes. At the same time, we found loci that interacted simultaneously with several other loci to affect expression of the traits, which was particularly evident in the IF2 population. For example, qTAR1-2 interacted simultaneously with qTAR2-1, qTAR3-1, qTAR5-1, and qITAR8-2 to affect the expression of TBRTN. Therefore, a complex network controlling the traits was found in maize. These results provide useful information for understanding the molecular mechanisms controlling root architecture.
引用
收藏
页码:697 / 708
页数:12
相关论文
共 50 条
  • [41] Mapping of QTL associated with Fusarium root rot resistance and root architecture traits in black beans
    Nakedde, Timothy
    Ibarra-Perez, Francisco J.
    Mukankusi, Clare
    Waines, J. Giles
    Kelly, James D.
    EUPHYTICA, 2016, 212 (01) : 51 - 63
  • [42] Mapping of QTL associated with Fusarium root rot resistance and root architecture traits in black beans
    Timothy Nakedde
    Francisco J. Ibarra-Perez
    Clare Mukankusi
    J. Giles Waines
    James D. Kelly
    Euphytica, 2016, 212 : 51 - 63
  • [43] Root-ABA1: A QTL influencing L-ABA concentration and root traits in maize
    Giuliani, S.
    Bellotti, M.
    Landi, P.
    Sanguineti, M. C.
    Salvi, S.
    Tuberosa, R.
    COMPARATIVE BIOCHEMISTRY AND PHYSIOLOGY A-MOLECULAR & INTEGRATIVE PHYSIOLOGY, 2005, 141 (03): : S301 - S302
  • [44] Molecular mapping of the brace root traits in sorghum (Sorghum bicolor L. Moench)
    Li, Ronggai
    Han, Yucui
    Lv, Peng
    Du, Ruiheng
    Liu, Guoqing
    BREEDING SCIENCE, 2014, 64 (02) : 193 - 198
  • [45] QTL Mapping of Kernel Number-Related Traits and Validation of One Major QTL for Ear Length in Maize
    Huo, Dongao
    Ning, Qiang
    Shen, Xiaomeng
    Liu, Lei
    Zhang, Zuxin
    PLOS ONE, 2016, 11 (05):
  • [46] QTL analysis of root traits as related to phosphorus efficiency in soybean
    Liang, Quan
    Cheng, Xiaohui
    Mei, Mantong
    Yan, Xiaolong
    Liao, Hong
    ANNALS OF BOTANY, 2010, 106 (01) : 223 - 234
  • [47] QTL mapping of maize (Zea mays) stay-green traits and their relationship to yield
    Zheng, H. J.
    Wu, A. Z.
    Zheng, C. C.
    Wang, Y. F.
    Cai, R.
    Shen, X. F.
    Xu, R. R.
    Liu, P.
    Kong, L. J.
    Dong, S. T.
    PLANT BREEDING, 2009, 128 (01) : 54 - 62
  • [48] Epistasis: Obstacle or Advantage for Mapping Complex Traits?
    Verhoeven, Koen J. F.
    Casella, George
    McIntyre, Lauren M.
    PLOS ONE, 2010, 5 (08):
  • [49] Genetic analysis of arsenic accumulation in maize using QTL mapping
    Zhongjun Fu
    Weihua Li
    Xiaolong Xing
    Mengmeng Xu
    Xiaoyang Liu
    Haochuan Li
    Yadong Xue
    Zonghua Liu
    Jihua Tang
    Scientific Reports, 6
  • [50] Genetic analysis of arsenic accumulation in maize using QTL mapping
    Fu, Zhongjun
    Li, Weihua
    Xing, Xiaolong
    Xu, Mengmeng
    Liu, Xiaoyang
    Li, Haochuan
    Xue, Yadong
    Liu, Zonghua
    Tang, Jihua
    SCIENTIFIC REPORTS, 2016, 6