期刊文献+

QTL effects and epistatic interaction for flowering time and branch number in a soybean mapping population of Japanese×Chinese cultivars 被引量:3

QTL effects and epistatic interaction for flowering time and branch number in a soybean mapping population of Japanese×Chinese cultivars
下载PDF
导出
摘要 Flowering time and branching type are important agronomic traits related to the adaptability and yield of soybean. Molecular bases for major flowering time or maturity loci, E1 to E4, have been identified. However, more flowering time genes in cultivars with different genetic backgrounds are needed to be mapped and cloned for a better understanding of flowering time regulation in soybean. In this study, we developed a population of Japanese cultivar(Toyomusume)×Chinese cultivar(Suinong 10) to map novel quantitative trait locus(QTL) for flowering time and branch number. A genetic linkage map of a F_2 population was constructed using 1 306 polymorphic single nucleotide polymorphism(SNP) markers using Illumina Soy SNP8 ki Select Bead Chip containing 7 189(SNPs). Two major QTLs at E1 and E9, and two minor QTLs at a novel locus, qFT2_1 and at E3 region were mapped. Using other sets of F_2 populations and their derived progenies, the existence of a novel QTL of qFT2_1 was verified. qBR6_1, the major QTL for branch number was mapped to the proximate to the E1 gene, inferring that E1 gene or neighboring genetic factor is significantly contributing to the branch number. Flowering time and branching type are important agronomic traits related to the adaptability and yield of soybean. Molecular bases for major flowering time or maturity loci, E1 to E4, have been identified. However, more flowering time genes in cultivars with different genetic backgrounds are needed to be mapped and cloned for a better understanding of flowering time regulation in soybean. In this study, we developed a population of Japanese cultivar(Toyomusume)×Chinese cultivar(Suinong 10) to map novel quantitative trait locus(QTL) for flowering time and branch number. A genetic linkage map of a F_2 population was constructed using 1 306 polymorphic single nucleotide polymorphism(SNP) markers using Illumina Soy SNP8 ki Select Bead Chip containing 7 189(SNPs). Two major QTLs at E1 and E9, and two minor QTLs at a novel locus, qFT2_1 and at E3 region were mapped. Using other sets of F_2 populations and their derived progenies, the existence of a novel QTL of qFT2_1 was verified. qBR6_1, the major QTL for branch number was mapped to the proximate to the E1 gene, inferring that E1 gene or neighboring genetic factor is significantly contributing to the branch number.
出处 《Journal of Integrative Agriculture》 SCIE CAS CSCD 2017年第9期1900-1912,共13页 农业科学学报(英文版)
基金 supported by the National Key Research and Development Program of China(2016YFD0100201 and 2016YFD0101902) the Knowledge Innovation Project of Chinese Academy of Sciences(XDA08010105) the National Natural Science Foundation of China(31471518 and 31301338)
关键词 soybean quantitative trait loci SNP flowering time branch number soybean quantitative trait loci SNP flowering time branch number
  • 相关文献

二级参考文献24

  • 1Falconer D S,Mackay T F C.Introduction to Quantitative Genetics. Journal of Women s Health . 1996
  • 2ZIQI SUN,HUIHUI LI,LUYAN ZHANG,JIANKANG WANG.Estimation of recombination frequency in bi-parental genetic populations[J]. Genetics Research . 2012 (3)
  • 3Luyan Zhang,Shiquan Wang,Huihui Li,Qiming Deng,Aiping Zheng,Shuangcheng Li,Ping Li,Zhonglai Li,Jiankang Wang.Effects of missing marker and segregation distortion on QTL mapping in F2 populations[J]. Theoretical and Applied Genetics . 2010 (6)
  • 4Yanping Sun,Jiankang Wang,Jonathan H. Crouch,Yunbi Xu.Efficiency of selective genotyping for genetic analysis of complex traits and potential applications in crop improvement[J]. Molecular Breeding . 2010 (3)
  • 5Zhang, Luyan,Li, Huihui,Li, Zhonglai,Wang, Jiankang.Interactions Between Markers Can Be Caused by the Dominance Effect of Quantitative Trait Loci[J]. Genetics . 2008 (2)
  • 6Wan, Xiangyuan,Weng, Jianfeng,Zhai, Huqu,Wang, Jiankang,Lei, Cailin,Liu, Xiaolu,Guo, Tao,Jiang, Ling,Su, Ning,Wan, Jianmin.Quantitative Trait Loci (QTL) Analysis For Rice Grain Width and Fine Mapping of an Identified QTL Allele gw-5 in a Recombination Hotspot Region on Chromosome 5[J]. Genetics . 2008 (4)
  • 7Huihui Li,Jean-Marcel Ribaut,Zhonglai Li,Jiankang Wang.Inclusive composite interval mapping (ICIM) for digenic epistasis of quantitative traits in biparental populations[J]. Theoretical and Applied Genetics . 2008 (2)
  • 8Jiankang Wang,Xiangyuan Wan,Huihui Li,Wolfgang H. Pfeiffer,Jonathan Crouch,Jianmin Wan.Application of identified QTL-marker associations in rice quality improvement through a design-breeding approach[J]. Theoretical and Applied Genetics . 2007 (1)
  • 9Hans Os,Piet Stam,Richard G. F. Visser,Herman J. Eck.RECORD: a novel method for ordering loci on a genetic linkage map[J]. Theoretical and Applied Genetics . 2005 (1)
  • 10Lander E S,Botstein D.Mapping Mendelian factors underlying quantitative traits using RFLP linkage maps. Genetics . 1989

共引文献177

同被引文献35

引证文献3

二级引证文献2

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部