Quantitative trait locus mapping for seed mineral concentrations in two Arabidopsis thaliana recombinant inbred populations.
Quantitative trait locus mapping for seed mineral concentrations in two Arabidopsis thaliana recombinant inbred populations.
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DOI：
10.1111/j.1469-8137.2008.02544.x
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发表时间：
2008-09
期刊：
影响因子：
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通讯作者：
B. Waters;M. Grusak
中科院分区：
文献类型：
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作者：
B. Waters;M. Grusak
通过增加铁（Fe）和锌（Zn）等矿物质的浓度来实现食品的生物强化是植物科学家的目标。了解影响拟南芥等模式植物种子矿物质浓度的基因有助于开发营养增强的作物品种。利用两个重组自交系（RIL）群体哥伦比亚（Col）×兰茨贝格（Ler）和佛得角群岛（Cvi）× Ler，对种子中钙（Ca）、铜（Cu）、铁（Fe）、钾（K）、镁（Mg）、锰（Mn）、磷（P）、硫（S）和锌（Zn）含量进行了数量性状基因座（QTL）定位。QTL定位也进行了使用来自角果外壳和种子的比率：船体矿物质浓度的Cvi × Ler人口的数据。共检测到100多个影响种子矿物质含量的QTL。在多个试验中共检测到29个籽粒性状QTL，其中多个QTL同时检测到籽粒和船体矿物性状。讨论了一些影响种子矿物质浓度的候选基因。这些结果表明A.拟南芥是发现影响种子矿物质浓度的基因的合适和方便的模型。一些强QTL没有明显的候选基因，为鉴定影响矿质吸收和转运到种子的未知基因提供了可能。
Biofortification of foods, achieved by increasing the concentrations of minerals such as iron (Fe) and zinc (Zn), is a goal of plant scientists. Understanding genes that influence seed mineral concentration in a model plant such as Arabidopsis could help in the development of nutritionally enhanced crop cultivars. Quantitative trait locus (QTL) mapping for seed concentrations of calcium (Ca), copper (Cu), Fe, potassium (K), magnesium (Mg), manganese (Mn), phosphorus (P), sulfur (S), and Zn was performed using two recombinant inbred line (RIL) populations, Columbia (Col) x Landsberg erecta (Ler) and Cape Verde Islands (Cvi) x Ler, grown on multiple occasions. QTL mapping was also performed using data from silique hulls and the ratio of seed:hull mineral concentration of the Cvi x Ler population. Over 100 QTLs that affected seed mineral concentration were identified. Twenty-nine seed QTLs were found in more than one experiment, and several QTLs were found for both seed and hull mineral traits. A number of candidate genes affecting seed mineral concentration are discussed. These results indicate that A. thaliana is a suitable and convenient model for discovery of genes that affect seed mineral concentration. Some strong QTLs had no obvious candidate genes, offering the possibility of identifying unknown genes that affect mineral uptake and translocation to seeds.