Kumar Amit, Singh Vikram Jeet, Bhowmick Prolay Kumar, Nandakumar Shekharappa, Yadav Sunaina, Krishnan Subbaiyan Gopala, Ellur Ranjith Kumar, Bollinedi Haritha, Singh Ashok Kumar, Vinod Kunnummal Kurungara
Division of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi, India.
Division of Crop Sciences, ICAR Research Complex for North Eastern Hill (NEH) Region, Meghalaya, Umiam, India.
Front Plant Sci. 2025 Jul 7;16:1501878. doi: 10.3389/fpls.2025.1501878. eCollection 2025.
Iron (Fe) content in soil can influence rice cultivation, inciting responses ranging from deficiency to toxicity. Fe toxicity is a major constraint, particularly in areas where acidic soils predominate. Grain Fe content along with Zn is a major contemporary breeding objective in rice in order to tackle micronutrient deficiency. There is no information available on the influence of soil Fe levels, normal and excess, can influence grain micronutrient contents, particularly in rice genotypes that are tolerant to excess soil Fe.
In this study, a subset of 170 rice germplasm lines from the 3K panel were evaluated for grain Fe and Zn concentrations in brown rice across three different locations. Additionally, the response of these lines to Fe toxicity was assessed at one location.
Significant phenotypic variation for both traits was observed. Fe toxicity led to increased grain Fe content but decreased Fe uptake efficiency (IAE), suggesting an adaptive mechanism to limit excess Fe absorption in the rhizosphere. Five significant single-nucleotide polymorphisms (SNPs) associated with grain Fe ( , , , , and ) were identified on chromosomes 1, 2, 8, and 12, while one SNP associated with grain Zn ( ) was detected on chromosome 12. These SNPs co-localized with major genes and QTLs involved in heavy-metal homeostasis and transport, including and . Superior haplotypes for two candidate genes were identified, with the analysis revealing their frequencies and allelic effects in different subgroups. Two marker-trait associations (MTAs), and , were validated in an F population using linked SSR markers.
These validated MTAs provide valuable genetic resources for biofortification breeding programs aimed at increasing Fe and Zn concentrations in rice grains, addressing micronutrient deficiencies among rice-dependent populations.
土壤中的铁(Fe)含量会影响水稻种植,引发从缺铁到铁中毒等一系列反应。铁中毒是一个主要限制因素,尤其是在酸性土壤占主导的地区。为了解决微量营养素缺乏问题,水稻籽粒中的铁含量以及锌含量是当前主要的育种目标。目前尚无关于正常和过量土壤铁水平对籽粒微量营养素含量影响的信息,特别是在耐过量土壤铁的水稻基因型中。
在本研究中,对来自3K群体的170个水稻种质系的子集,在三个不同地点评估了糙米中的铁和锌浓度。此外,在一个地点评估了这些品系对铁中毒的反应。
观察到这两个性状都有显著的表型变异。铁中毒导致籽粒铁含量增加,但铁吸收效率(IAE)降低,这表明存在一种限制根际过量铁吸收的适应性机制。在第1、2、8和12号染色体上鉴定出5个与籽粒铁相关的显著单核苷酸多态性(SNP)( 、 、 、 、 ),而在第12号染色体上检测到1个与籽粒锌相关的SNP( )。这些SNP与参与重金属稳态和转运的主要基因和QTL共定位,包括 和 。鉴定出两个候选基因的优良单倍型,分析揭示了它们在不同亚组中的频率和等位基因效应。使用连锁SSR标记在F群体中验证了两个标记-性状关联(MTA),即 和 。
这些经过验证的MTA为旨在提高水稻籽粒中铁和锌浓度的生物强化育种计划提供了宝贵的遗传资源,有助于解决依赖水稻人群的微量营养素缺乏问题。