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

Tiantian Jin; Jinfeng Zhou; Jingtang Chen; Liying Zhu; Yongfeng Zhao; Yaqun Huang
September 2013
Breeding Science;Sep2013, Vol. 63 Issue 3, p317
Academic Journal
Micronutrient malnutrition, especially zinc (Zn) and iron (Fe) deficiency in diets, has aroused worldwide at-tention. Biofortification of food crops has been considered as a promising approach for alleviating this defi-ciency. 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 in-dependent 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 ef-fective approach to understand the genetic basis of Zn and Fe accumulation in maize grains.


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