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与大豆种子钙含量相关的假定数量性状位点

Putative quantitative trait loci associated with calcium content in soybean seed.

作者信息

Zhang Bo, Chen Pengyin, Shi Ainong, Hou Anfu, Ishibashi Tetsuaki, Wang Dechun

机构信息

Department of Crop, Soil, and Environmental Sciences, 115 Plant Science Building, University of Arkansas, Fayetteville, AR 72701, USA.

出版信息

J Hered. 2009 Mar-Apr;100(2):263-9. doi: 10.1093/jhered/esn096. Epub 2008 Nov 4.

Abstract

Seed calcium content is an important quality attribute of specialty soybean [Glycine max (L.) Merr.] for soyfoods. However, analyzing seed for calcium content is time consuming and labor intensive. Knowing quantitative trait loci (QTL) for seed calcium will facilitate the development of elite cultivars with proper calcium content through marker-assisted selection (MAS). The objective of this study was to identify major QTL associated with calcium content in soybean seed. Calcium content was tested in 178 F(2:3) and 157 F(2:4) lines derived from the cross of SS-516 (low calcium) x Camp (high calcium). The F(2:3) lines were genotyped with 148 simple sequence repeat markers in a previous study on seed hardness, and the genotypic data were used in the QTL analysis of the current study. Four QTL designated as Ca1, Ca2, Ca3, and Ca4 on linkage groups (LGs) A2, I, and M were identified by both single-marker analysis and composite-interval mapping, and the QTL accounted for 10.7%, 16.3%, 14.9%, and 9.7% of calcium content variation, respectively. In addition, multiple-interval mapping analysis revealed a significant dominant-by-dominant interaction effect between Ca1 and Ca3, which accounted for 4.3% calcium content variation. These QTL will facilitate the implementation of MAS for calcium content in soybean-breeding programs.

摘要

种子钙含量是用于制作豆制品的特色大豆[Glycine max (L.) Merr.]的一项重要品质属性。然而,分析种子中的钙含量既耗时又费力。了解种子钙含量的数量性状位点(QTL)将有助于通过标记辅助选择(MAS)培育出钙含量适宜的优良品种。本研究的目的是鉴定与大豆种子钙含量相关的主要QTL。对由SS - 516(低钙)×Camp(高钙)杂交产生的178个F(2:3)和157个F(2:4)株系的种子钙含量进行了检测。在之前一项关于种子硬度的研究中,利用148个简单序列重复标记对F(2:3)株系进行了基因分型,本研究的QTL分析使用了这些基因型数据。通过单标记分析和复合区间作图,在连锁群(LG)A2、I和M上分别鉴定出4个QTL,命名为Ca1、Ca2、Ca3和Ca4,这些QTL分别解释了钙含量变异的10.7%、16.3%、14.9%和9.7%。此外,多区间作图分析揭示了Ca1和Ca3之间存在显著的显性 - 显性互作效应,该效应解释了4.3%的钙含量变异。这些QTL将有助于在大豆育种计划中实施针对钙含量的标记辅助选择。

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