Genome-Wide Association Study Reveals the Genetic Basis of Total Flavonoid Content in Brown Rice

Genes (Basel). 2023 Aug 25;14(9):1684. doi: 10.3390/genes14091684.

Abstract

Flavonoids have anti-inflammatory, antioxidative, and anticarcinogenic effects. Breeding rice varieties rich in flavonoids can prevent chronic diseases such as cancer and cardio-cerebrovascular diseases. However, most of the genes reported are known to regulate flavonoid content in leaves or seedlings. To further elucidate the genetic basis of flavonoid content in rice grains and identify germplasm rich in flavonoids in grains, a set of rice core collections containing 633 accessions from 32 countries was used to determine total flavonoid content (TFC) in brown rice. We identified ten excellent germplasms with TFC exceeding 300 mg/100 g. Using a compressed mixed linear model, a total of 53 quantitative trait loci (QTLs) were detected through a genome-wide association study (GWAS). By combining linkage disequilibrium (LD) analysis, location of significant single nucleotide polymorphisms (SNPs), gene expression, and haplotype analysis, eight candidate genes were identified from two important QTLs (qTFC1-6 and qTFC9-7), among which LOC_Os01g59440 and LOC_Os09g24260 are the most likely candidate genes. We also analyzed the geographic distribution and breeding utilization of favorable haplotypes of the two genes. Our findings provide insights into the genetic basis of TFC in brown rice and could facilitate the breeding of flavonoid-rich varieties, which may be a prevention and adjuvant treatment for cancer and cardio-cerebrovascular diseases.

Keywords: QTL; flavonoid; functional rice; gene; germplasm resource.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Antioxidants
  • Flavonoids / genetics
  • Genome-Wide Association Study*
  • Oryza* / genetics
  • Plant Breeding

Substances

  • Antioxidants
  • Flavonoids

Grants and funding

This work was supported by grants from the Ministry of Science and Technology of China (2021YFD1200502) and the National Natural Science Foundation of China (31760376), as well as the AgroST Project (NK2022050103).