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Fine-mapping of QTLs for individual and total isoflavone content in soybean (<Emphasis Type="Italic">Glycine max L.</Emphasis>) using a high-density genetic map
Authors:Zhandong Cai  Yanbo Cheng  Zhuwen Ma  Xinguo Liu  Qibin Ma  Qiuju Xia  Gengyun Zhang  Yinghui Mu  Hai Nian
Institution:1.The State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources,South China Agricultural University,Guangzhou,People’s Republic of China;2.The Key Laboratory of Plant Molecular Breeding of Guangdong Province, College of Agriculture,South China Agricultural University,Guangzhou,People’s Republic of China;3.Shofine Seed Technology Co., Ltd.,Jiaxiang,People’s Republic of China;4.Guangdong Provincial Key Laboratory of Crops Genetics and Improvement, Crops Research Institute,Guangdong Academy of Agricultural Sciences,Guangzhou,People’s Republic of China;5.Beijing Genomics Institute (BGI)-Shenzhen,Shenzhen,People’s Republic of China
Abstract:

Key message

Fifteen stable QTLs were identified using a high-density soybean genetic map across multiple environments. One major QTL, qIF5-1, contributing to total isoflavone content explained phenotypic variance 49.38, 43.27, 46.59, 45.15 and 52.50%, respectively.

Abstract

Soybeans (Glycine max L.) are a major source of dietary isoflavones. To identify novel quantitative trait loci (QTL) underlying isoflavone content, and to improve the accuracy of marker-assisted breeding in soybean, a valuable mapping population comprised of 196 F7:8–10 recombinant inbred lines (RILs, Huachun 2 × Wayao) was utilized to evaluate individual and total isoflavone content in plants grown in four different environments in Guangdong. A high-density genetic linkage map containing 3469 recombination bin markers based on 0.2 × restriction site-associated DNA tag sequencing (RAD-seq) technology was used to finely map QTLs for both individual and total isoflavone contents. Correlation analyses showed that total isoflavone content, and that of five individual isoflavone, was significantly correlated across the four environments. Based on the high-density genetic linkage map, a total of 15 stable quantitative trait loci (QTLs) associated with isoflavone content across multiple environments were mapped onto chromosomes 02, 05, 07, 09, 10, 11, 13, 16, 17, and 19. Further, one of them, qIF5-1, localized to chromosomes 05 (38,434,171–39,045,620 bp) contributed to almost all isoflavone components across all environments, and explained 6.37–59.95% of the phenotypic variance, especially explained 49.38, 43.27, 46.59, 45.15 and 52.50% for total isoflavone. The results obtained in the present study will pave the way for a better understanding of the genetics of isoflavone accumulation and reveals the scope available for improvement of isoflavone content through marker-assisted selection.
Keywords:
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