Ionomic Characterization of Maize Kernels in the Intermated B73 x Mo17 Population
Ionomic Characterization of Maize Kernels in the Intermated B73 x Mo17 Population
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DOI：
10.2135/cropsci2012.02.0135
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发表时间：
2013-01-01
期刊：
影响因子：
2.3
通讯作者：
Hoekenga, Owen A.
中科院分区：
文献类型：
--
作者：
Baxter, Ivan R.;Gustin, Jeffery L.;Hoekenga, Owen A.
饮食矿物质缺乏影响着地球上近一半的人，这主要是由于贫困造成的。提高营养质量--或生物强化--是解决这一大规模公共卫生问题的有效和可持续的潜在解决方案。为了创造生物强化作物，人们必须了解影响目标有机体和组织中的离子组或矿物质营养收集的遗传和环境因素。本文介绍了利用数量性状基因座(QTL)定位玉米(Zea Mays L.)以B73×Mo17(IBM)重组近交系群体为例的籽粒电离组。离子剖析被应用于来自佛罗里达、北卡罗来纳和纽约的田间种植材料。对来自北卡罗来纳州和纽约种植的玉米的10个性状检测到27个QTL，解释了观察到的4%到46%的变异。为了使生物强化取得成功，在多种环境中有效的QTL需要成为改进努力的目标。佛罗里达州种植的玉米被浅层采样，以提供一个低成本的数据集，以评估基于北卡罗来纳州和纽约州组合特征的模型。对原始的单一地点和/或地点数据进行方差分析，在两个或多个地点检测到25个QTL显著；在佛罗里达州发现12个QTL显著。虽然这一策略可能没有从我们的数据中检测到每一个潜在的QTL，但我们认为这些在多种环境中有效的QTL代表了玉米籽粒生物强化的起点。
Dietary mineral deficiencies affect nearly half of the people on our planet, largely due to poverty. Enhancing nutritional quality-or biofortification-represents an efficient and sustainable potential solution to this massive public health problem. To create biofortified crops, one must understand the genetic and environmental factors that influence the ionome, or collection of mineral nutrients, in the target organism and tissue. We describe the use of quantitative trait loci (QTL) mapping to characterize the maize (Zea mays L.) grain ionome illustrated by the intermated B73 x Mo17 (IBM) recombinant inbred population. Ionomic profiling was applied to field grown materials from Florida, North Carolina, and New York. Twenty-seven QTL were detected for 10 traits derived from the North Carolina and New York grown maize explaining between 4 and 46% of the variance observed. For biofortification to succeed, QTL effective in multiple environments need to be the targets for improvement efforts. Florida grown maize were sampled shallowly to provide a low cost dataset to evaluate the models based on the combined North Carolina and New York traits. Twenty-five QTL were detected as significant in two or more locations using ANOVA on the original single location and/or site data; 12 QTL were found to be significant in Florida. While this strategy may have not detected every potential QTL from our data, we suggest these QTL effective in multiple environments represent a starting position for the biofortification of maize grain.