The genetic architecture of zinc and iron content in maize grains as revealed by QTL mapping and meta-analysis.

The genetic architecture of zinc and iron content in maize grains as revealed by QTL mapping and meta-analysis.
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DOI:
10.1270/jsbbs.63.317
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发表时间:
2013-09
期刊:
影响因子:
2.4
通讯作者:
Huang Y
Huang Y
中科院分区:
农林科学3区
文献类型:
--
作者:
Jin T;Zhou J;Chen J;Zhu L;Zhao Y;Huang Y

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营养素营养不良,特别是膳食中锌、铁缺乏,已引起世界各国的广泛关注。对粮食作物进行生物强化被认为是缓解这一不足的一个有希望的办法。利用玉米自交系178与P53杂交获得的218个F2:3家系,对玉米子粒锌、铁含量的遗传机制进行了QTL分析。采用Meta分析方法整合遗传图谱,并在多个独立的锌、铁含量相关性状QTL研究中检测元QTL。检测到5个显著性QTL和10个MQTL。两个信息基因组区域,箱2.07和2.08,显示了锌和铁含量QTL的重要性。10个MQTLs中有8个同时涉及锌和铁两个性状,表明锌和铁在玉米籽粒中的含量存在相关性。本研究结果表明,QTL定位和荟萃分析是了解玉米籽粒锌铁积累遗传基础的有效途径。
Micronutrient malnutrition, especially zinc (Zn) and iron (Fe) deficiency in diets, has aroused worldwide attention. Biofortification of food crops has been considered as a promising approach for alleviating this deficiency. Quantitative trait locus (QTL) analysis was performed to dissect the genetic mechanism of Zn and Fe content in maize grains using a total of 218 F2:3 families derived from a cross between inbred lines 178 and P53. Meta-analysis was used to integrate genetic maps and detect Meta-QTL (MQTL) across several independent QTL researches for traits related to Zn or Fe content. Five significant QTLs and 10 MQTLs were detected. Two informative genomic regions, bins 2.07 and 2.08, showed a great importance for Zn and Fe content QTLs. The correlation between Zn and Fe level in maize grains was proposed by MQTLs as 8 of the 10 involved both traits. The results of this study suggest that QTL mapping and meta-analysis is an effective approach to understand the genetic basis of Zn and Fe accumulation in maize grains.
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