National Science Review
2024-06 | Journal article
- DOI: 10.1093/nsr/nwae222
Abstract
The multiparent advanced generation intercross (MAGIC) population is characterized with great potentials in power and resolution of QTL mapping, but SNP-based GWAS does not fully play its potential. In this study, a MAGIC population of 1021 lines was developed from four Xian and four Geng varieties from 5 subgroups of rice. A total of 44,000 genes showed functional polymorphisms among eight parents, including frameshift variations or premature stop codon variations, which provides the potential to map almost all genes of the MAGIC population. Principal component analysis results showed that the MAGIC population had a weak population structure. A high-density bin map of 24,414 bins was constructed. Segregation distortion occurred in the regions possessing the genes underlying genetic incompatibility and gamete development. SNP-based association analysis and bin-based linkage analysis identified 25 significant loci and 47 QTLs for heading date, including 14 known heading date genes. The mapping resolution of genes is dependent on genetic effects with offset distances of less than 55 kb for major effect genes and less than 123 kb for moderate effect genes. Four causal variants and noncoding structure variants were identified to be associated with heading date. Three to four types of alleles with strong, intermediate, weak, and no genetic effects were identified from eight parents, providing flexibility for the improvement of rice heading date. In most cases, japonica rice carries weak alleles, and indica rice carries strong alleles and nonfunctional alleles. These results confirmed that the MAGIC population provides the exceptional opportunity to detect QTLs, and its use is encouraged for mapping genes and mining favorable alleles for breeding.
Cite this article
Wang P#, Yang Y#, Li D, Yu Z, Zhang B, Zhou X, Xiong L, Zhang J and Xing Y*. Powerful QTL mapping and favorable allele mining in an all-in-one population: a case study of heading date. National Science Review, 2024, 11:nwae222. DOI: 10.1093/nsr/nwae222