Quantitative trait loci for agronomic and seed quality traits in an F2 and F4:6 soybean population
Quantitative trait loci for agronomic and seed quality traits in an F2 and F4:6 soybean population
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DOI：
10.1023/a:1022282726117
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发表时间：
2003-01-01
期刊：
影响因子：
1.9
通讯作者：
Gresshoff, PM
中科院分区：
文献类型：
--
作者：
Chapman, A;Pantalone, VR;Gresshoff, PM
随着更好的技术的出现，分子育种正变得越来越实用。利用分子标记在植物育种中间接选择重要性状，有利于提高育种效率。本研究的目的是在大豆品种‘Essex’和‘Williams’的杂交群体中，鉴定与种子蛋白浓度、种子油浓度、种子大小、株高、倒伏和成熟度相关的分子连锁群（MLG）上的数量性状位点（QTL）。从F-2代大豆叶片中提取DNA，利用SSR （simple sequence repeat）标记进行PCR扩增。根据F-2代和F-4:6代的表型性状数据分析亲本间多态性标记。F-2群体的显著加性QTL为Satt540 (mlgm，成熟度，r(2)=0.11；高度，r(2)=0.04，种子大小，r(2)=0.061, Satt373 (mlgl，种子大小，r(2)=0.04；Satt50 (MLG A1，成熟度r(2)=0.07), Satt14 (MLG D2，油，r(2)=0.05), Satt251(蛋白r（2)=0.03，油，r(2)=0.04）。F-2群体显著优势QTL为Satt540 (MLG M，高度，r(2)=0.04；种子大小，r(2)=0.06)和Satt14 （MLG D2，油，r(2)=0.05）。F-4:6代显著加性QTL分别为Satt239 (mlg1，高度，r（2)=0.02, Knoxville， TN, r(2)=0.03）、Satt14 （mlg2，种子大小，r(2)=0.14, Knoxville， TN）、Satt373 （mlg1，蛋白质，r(2)=0.04, Knoxville， TN）和Satt251 （mlgb 1，倒伏r(2)=0.04, Springfield， TN）。在F-4:6代的两种环境中平均，鉴定出显著的加性QTL为Satt251 （MLG b1，蛋白质，r(2)=0.03）和Satt239 （MLG b1，身高，r(2)=0.03）。本研究的结果表明，仅基于这些QTL的选择将产生有限的增益（基于低r(2)值）。很少有QTL在不同环境中是稳定的。为了使标记辅助方法更广泛地被大豆育种者所采用，需要进一步的研究来确定稳定的QTL。
Molecular breeding is becoming more practical as better technology emerges. The use of molecular markers in plant breeding for indirect selection of important traits can favorably impact breeding efficiency. The purpose of this research is to identify quantitative trait loci (QTL) on molecular linkage groups (MLG) which are associated with seed protein concentration, seed oil concentration, seed size, plant height, lodging, and maturity, in a population from a cross between the soybean cultivars 'Essex' and 'Williams.' DNA was extracted from F-2 generation soybean leaves and amplified via polymerase chain reaction (PCR) using simple sequence repeat (SSR) markers. Markers that were polymorphic between the parents were analyzed against phenotypic trait data from the F-2 and F-4:6 generation. For the F-2 population, significant additive QTL were Satt540 (MLG M, maturity, r(2)=0.11; height, r(2)=0.04, seed size, r(2)=0.061, Satt373 (MLG L, seed size, r(2)=0.04; height, r(2)=0.14), Satt50 (MLG A1, maturity r(2)=0.07), Satt14 (MLG D2, oil, r(2)=0.05), and Satt251 (protein r(2)=0.03, oil, r(2)=0.04). Significant dominant QTL for the F-2 population were Satt540 (MLG M, height, r(2)=0.04; seed size, r(2)=0.06) and Satt14 (MLG D2, oil, r(2)=0.05). In the F-4:6 generation significant additive QTL were Satt239 (MLG I, height, r(2)=0.02 at Knoxville, TN and r(2)=0.03 at Springfield, TN), Satt14 (MLG D2, seed size, r(2)=0.14 at Knoxville, TN), Satt373 (MLG L, protein, r(2)=0.04 at Knoxville, TN) and Satt251 (MLG B I, lodging r(2)=0.04 at Springfield, TN). Averaged over both environments in the F-4:6 generation, significant additive QTL were identified as Satt251 (MLG B 1, protein, r(2)=0.03), and Satt239 (MLG 1, height, r(2)=0.03). The results found in this study indicate that selections based solely on these QTL would produce limited gains (based on low r(2) values). Few QTL were detected to be stable across environments. Further research to identify stable QTL over environments is needed to make marker-assisted approaches more widely adopted by soybean breeders.