Bollinedi Haritha, Yadav Ashutosh Kumar, Vinod K K, Gopala Krishnan S, Bhowmick Prolay Kumar, Nagarajan M, Neeraja C N, Ellur Ranjith Kumar, Singh Ashok Kumar
Division of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi, India.
ICAR-Indian Agricultural Research Institute, Rice Breeding and Genetics Research Centre, Aduthurai, India.
Front Genet. 2020 Apr 22;11:213. doi: 10.3389/fgene.2020.00213. eCollection 2020.
Micronutrient malnutrition due to Fe and Zn, affects around two billion people globally particularly in the developing countries. More than 90% of the Asian population is dependent on rice-based diets, which is low in these micronutrients. In the present study, a set of 192 Indian rice germplasm accessions, grown at two locations, were evaluated for Fe and Zn in brown rice (BR) and milled rice (MR). A significant variation was observed in the rice germplasm for these micronutrients. The grain Fe concentration was in the range of 6.2-23.1 ppm in BR and 0.8-12.3 ppm in MR, while grain Zn concentration was found to be in the range of 11.0-47.0 ppm and 8.2-40.8 ppm in the BR and MR, respectively. Grain Fe exhibited maximum loss upon milling with a mean retention of 24.9% in MR, while Zn showed a greater mean retention of 74.2% in MR. A genome-wide association study (GWAS) was carried out implementing the FarmCPU model to control the population structure and kinship, and resulted in the identification of 29 marker-trait associations (MTAs) with significant associations for traits viz. FeBR (6 MTAs), FeMR (7 MTAs), ZnBR (11 MTAs), and ZnMR (5 MTAs), which could explain the phenotypic variance from 2.1 to as high as 53.3%. The MTAs governing the correlated traits showed co-localization, signifying the possibility of their simultaneous improvement. The robust MTAs identified in the study could be valuable resource for enhancing Fe and Zn concentration in the rice grain and addressing the problem of Fe and Zn malnutrition among rice consumers.
铁和锌缺乏导致的微量营养素营养不良影响着全球约20亿人口,在发展中国家尤为严重。超过90%的亚洲人口依赖以大米为主的饮食,而这些微量营养素在大米中含量较低。在本研究中,对种植于两个地点的192份印度水稻种质资源进行了糙米(BR)和精米(MR)中铁和锌含量的评估。在这些微量营养素方面,水稻种质资源存在显著差异。糙米中铁含量范围为6.2 - 23.1 ppm,精米中为0.8 - 12.3 ppm;而糙米中锌含量范围为11.0 - 47.0 ppm,精米中为8.2 - 40.8 ppm。碾磨后,铁含量损失最大,精米中铁的平均保留率为24.9%,而锌在精米中的平均保留率更高,为74.2%。采用FarmCPU模型进行全基因组关联研究(GWAS)以控制群体结构和亲缘关系,结果鉴定出29个标记 - 性状关联(MTA),这些关联与铁和锌含量性状显著相关,即FeBR(6个MTA)、FeMR(7个MTA)、ZnBR(11个MTA)和ZnMR(5个MTA),它们可解释2.1%至高达53.3%的表型变异。控制相关性状的MTA显示出共定位,这意味着它们有可能同时得到改良。本研究中鉴定出的稳健MTA可能是提高水稻籽粒中铁和锌含量以及解决水稻消费者铁和锌营养不良问题的宝贵资源。