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<p>Rice is a staple food crop and a primary energy source for nearly half of the world’s population. However, its nutritional quality remains low, particularly in essential micronutrients like iron (Fe) and zinc (Zn). Biofortification through breeding offers a promising strategy to enhance Fe and Zn concentrations in rice grains. Achieving this requires a deeper understanding of nutrient uptake, assimilation, and remobilization, as inefficient absorption negatively impacts both grain yield and quality. In this study, a meta-QTL analysis was conducted using 843 QTLs from 46 independent studies to decipher the molecular mechanisms governing Fe and Zn uptake in rice. A total of 25 meta-QTLs (MQTLs) with stable effects across diverse genetic backgrounds and environments were identified. These MQTLs had an average confidence interval of 2.88&#xa0;Mb and explained 14.98% of the average phenotypic variance. Notably, chromosomes 1, 3, 6, and 7 emerged as major genomic hotspots, harboring key candidate genes such as <i>OsNiR</i>, <i>OsFRDL1</i>, <i>OsFRO7</i>, <i>OsC3H54</i>, <i>OsEnS-6</i>, and <i>OsEnS-115</i>, which are associated with Fe and Zn homeostasis. The findings provide valuable genomic insights that can be leveraged in marker-assisted breeding programs to enhance rice’s nutritional quality, contributing to global food security and improved human health.</p>

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Genomic Insights into the Genetic Control of Iron and Zinc Content in Rice: A Meta-analysis of Key Hotspots

  • 期刊论文

  • 发表日期：

    2025年11月17日

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  • Om Prakash Raigar,
  • Gaurav Augustine,
  • Rupinder Kaur,
  • Nitika Sandhu

摘要

Rice is a staple food crop and a primary energy source for nearly half of the world’s population. However, its nutritional quality remains low, particularly in essential micronutrients like iron (Fe) and zinc (Zn). Biofortification through breeding offers a promising strategy to enhance Fe and Zn concentrations in rice grains. Achieving this requires a deeper understanding of nutrient uptake, assimilation, and remobilization, as inefficient absorption negatively impacts both grain yield and quality. In this study, a meta-QTL analysis was conducted using 843 QTLs from 46 independent studies to decipher the molecular mechanisms governing Fe and Zn uptake in rice. A total of 25 meta-QTLs (MQTLs) with stable effects across diverse genetic backgrounds and environments were identified. These MQTLs had an average confidence interval of 2.88 Mb and explained 14.98% of the average phenotypic variance. Notably, chromosomes 1, 3, 6, and 7 emerged as major genomic hotspots, harboring key candidate genes such as OsNiR, OsFRDL1, OsFRO7, OsC3H54, OsEnS-6, and OsEnS-115, which are associated with Fe and Zn homeostasis. The findings provide valuable genomic insights that can be leveraged in marker-assisted breeding programs to enhance rice’s nutritional quality, contributing to global food security and improved human health.