Allelopathy Journal
  • Year: 2007
  • Volume: 19
  • Issue: 2

Mapping QTL associated with rice allelopathy using the rice recombinant inbred lines and specific secondary metabolite marking method

  • Author:
  • Zhou Yongjun1, Cao Changdai1,2,3, Zhuang Jieyun1, Zheng Kangle1, Guo Yiqing1,2,3, Ye Min1,3, Yu Liuqing1,
  • Total Page Count: 8
  • Page Number: 479 to 486

1State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou 310006, China.

2Yunnan Agricultural University, Kunming 650201, China.

3Yunnan Academy of Agricultural Sciences, Kunming 650205, China.

*Correspondence Author. E. Mail: liuqyu53@yahoo.com.cn

Abstract

Quantitative trait loci (QTL) mapping was done using population of 147 recombinant inbred lines from a cross between most allelopathic cultivar Zhong-156 and least allelopathic cultivar Gumei-2. The map contained 168 DNA markers, covering all 12 chromosomes with 1447.9cM spans. The AI (Allelopathic Index) determined by the special secondary metabolite marking method was used to evaluate the allelopathic effects of rice lines. Three main-effect QTLs, mapped on chromosomes 5, 5 and 11, explained 13.6% phenotypic variation. One QTLs on chromosome 11 had the largest effect on the expression of allelopathic rice and explained 10.6% phenotypic variation. A multiple QTL model estimated that three QTLs with LOD scores > 2.0 were 10.02, 11.23 and 16.51, respectively. Five pairs of digenic epistatic loci were also found, which collectively explained 41.5% of the phenotypic variation. Two of those main-effect QTLs participated in digenic epistatic loci. The main QTLs and epistatic loci totally explained 55.1% of the phenotypic variation of allelopathic activity.

Keywords

Allelopathic effect, allelopathic index (AI), Oryza sativa L., quantitative trait loci (QTL), rice, specific secondary metabolite marking method