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- Title
Identification of genome-wide SNPs associated with combining ability for grain quality traits in parents of hybrid japonica rice (Oryza sativa L.).
- Authors
Liu, Erbao; Zhu, Shangshang; Zeng, Siyuan; Hu, Xiaoxiao; Li, Dalu; Wu, Guocan; Ji, Jie; Liu, Yang; Hong, Delin
- Abstract
Improving the combining ability for grain quality traits of the parents is the key factor to enhance averaged bulk grain quality of hybrid japonica rice. Eight quality traits including brown rice rate, milled rice rate (MRR), head rice rate (HRR), chalkiness degree (CD), percentage of chalky grain (PCG), alkali spreading value (ASV), gel consistency (GC) and amylose content (AC) of the bulked sample of rough rice harvested from the 81 F1 hybrid plants were investigated in 2014 and 2015. By combining the phenotypic data of general combining ability (GCA) for the quality traits with genotypic data of single nucleotide polymorphism (SNP) obtained by genotyping by sequencing method, CAScreen1.0 program compiled by MATLAB language was conducted to identify the elite SNP genotype associated with combining ability of quality traits in parents. Totally 35 elite SNP genotypes involving 22 genes (genotypes) were detected associated with GCA of seven quality traits (P < 0.05) in both 2014 and 2015. Seven and four SNPs were detected associated with combining ability for MRR and HRR, respectively. For PCG and CD, six and ten SNPs were detected associated with combining ability of parents, respectively. Six SNPs involving two genes were detected for combining ability of GC. Only two SNPs were detected which associated with combining ability for ASV. For combining ability of AC, six elite SNPs genotype were detected. Among them, elite SNP genotype of LOC_Os08g25220 (T/C) located on chromosome 8 could significantly reduce AC content in mixed rice samples of hybrid japonica rice.
- Subjects
RICE quality; GENETIC polymorphisms; MATLAB (Computer software); SINGLE nucleotide polymorphisms; GENE expression in plants
- Publication
Euphytica, 2018, Vol 214, Issue 11, p1
- ISSN
0014-2336
- Publication type
Article
- DOI
10.1007/s10681-018-2301-5