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Acta Agron Sin ›› 2016, Vol. 42 ›› Issue (02): 303-310.doi: 10.3724/SP.J.1006.2016.00303

• RESEARCH NOTES • Previous Articles    

Analysis of QTL for Fatty Acid Contents under Different Environments in Soybean

LEI Ya-Kun1,2,**,LIU Bing-Qiang1,**,DI Rui1,YAN Long1,YANG Chun-Yan1,HAO Dong-Xu3,ZHANG Meng-Chen1,*   

  1. 1 Institute of Cereal and Oil Crops, Hebei Academy of Agriculture and Forestry Sciences / Shijiazhuang Branch Center of National Center for Soybean Improvement / Hebei Genetic Breeding Laboratory, Shijiazhuang 050031, China; 2 Institute of Agricultural Information and Economy, Hebei Academy of Agriculture and Forestry Sciences, Shijiazhuang 050051, China; 3 Hebei Econmy Management School, Shijiazhuang 050071, China
  • Received:2015-07-09 Revised:2015-11-20 Online:2016-02-12 Published:2015-12-08
  • Contact: 张孟臣, E-mail: zhangmengchen@hotmail.com, Tel: 0311-87670653 E-mail:yakun0628@163.com
  • Supported by:

    This study was support by the National High Technology Research and Development Program of China (863 Program) (2006AA10Z1B3, 2012AA101106) and the National Natural Science Foundation of China (31000719), the Major Project of China on New Varieties of GMO Cultivation (2014ZX0800402B) and the Special Program of Modern Agro-industry Technology System (CARS-004-PS06), the Doctoral Scientific Research Foundation of Hebei Province (F13E006) and the Program for Excellent Young Talents in Hebei Province.

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Abstract:

Soybean is an important crop which contributes about 60% of the world’s oilseed production. The quality of soybean oil depends on the relative composition of fatty acid in seeds. A population of recombinant inbred lines  derived from a cross of Jidou 12 × Heidou was grown in two environments and the seed samples from the environments were evaluated for fatty acid contents. Simple sequence repeat (SSR) markers were used to construct genetic linkage map. A total of 16 QTLs underlying fatty acid contents were identified by CIM and MCIM methods using Windows QTL cartographer 2.5 and QTL Network-2.0 software at Sanya and Shijiazhuang locations, respectively. These QTLs were scattered on linkage groups A2, B2, C2, F, G, I, L. According to the two environment combined data, 13 QTLs were detected using two mapping methods. Nine of them were common in the results from two methods. Another QTL associated with stearic acid content, named as Ste-1, located on LG B2 and flanked by Satt168 and Satt556, was stable across two locations, also. QTL Ste-1 could explain 12% of the phenotypic variation at both locations. This study is helpful to improve fatty acid composition in soybean.

Key words: Soybean, Fatty acids, Quantitative trait loci, Environment

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