Association Mapping of Candidate Genes Associated with Iron and Zinc Content in Rice (Oryza sativa L.) Grains

Genes (Basel). 2023 Sep 18;14(9):1815. doi: 10.3390/genes14091815.

Abstract

Micronutrient deficiencies, particularly of iron (Fe) and zinc (Zn), in the diet contribute to health issues and hidden hunger. Enhancing the Fe and Zn content in globally staple food crops like rice is necessary to address food malnutrition. A Genome-Wide Association Study (GWAS) was conducted using 85 diverse rice accessions from the Democratic Republic of Congo (DRC) to identify genomic regions associated with grain Fe and Zn content. The Fe content ranged from 0.95 to 8.68 mg/100 g on a dry weight basis (dwb) while Zn content ranged from 0.87 to 3.8 mg/100 g (dwb). Using MLM and FarmCPU models, we found 10 significant SNPs out of which one SNP on chromosome 11 was associated with the variation in Fe content and one SNP on chromosome 4 was associated with the Zn content, and both were commonly detected by the two models. Candidate genes belonging to transcription regulator activities, including the bZIP family genes and MYB family genes, as well as transporter activities involved in Fe and Zn homeostasis were identified in the vicinity of the SNP markers and selected. The identified SNP markers hold promise for marker-assisted selection in rice breeding programs aimed at enhancing Fe and Zn content in rice. This study provides valuable insights into the genetic factors controlling Fe and Zn uptake and their transport and accumulation in rice, offering opportunities for developing biofortified rice varieties to combat malnutrition among rice consumers.

Keywords: Fe and Zn content; GWAS; SNP markers; gene identification; genetics; rice.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Crops, Agricultural
  • Genome-Wide Association Study
  • Iron
  • Oryza* / genetics
  • Plant Breeding
  • Zinc

Substances

  • Iron
  • Zinc

Grants and funding

This research was supported by the International Institute of Tropical Agriculture (IITA) and the Institut National pour l’Etude et la Recherche Agronomiques [National Institute for Agronomic Research and Study] (INERA-DR Congo), through the AFR RI-Regional Great Lakes Integrated Agriculture Development Project (PICAGL), ZR-MINAGRI-261053-CS-CDS, grant number P143307, funded by the World Bank Group.