QTN detection and candidate gene identification for improved eating and cooking quality in rice using GWAS and PLS regression analysis.

ABSTRACT:

Key message

We performed GWAS for starch properties and eating, cooking and appearance quality characteristics traits in rice and then used PLS regression to show importance of different loci for different food applications. We performed a genome-wide association study for appearance, eating and cooking quality traits in grain of japonica rice cultivars and identified candidate genes for adhesiveness of cooked rice grains, amylopectin composition and β-glucanase activity in rice endosperm among a total of 525 quantitative trait nucleotide (QTN) loci. The study used 1,054,635 single-nucleotide polymorphisms (SNPs) based on genome sequence data of 150 rice cultivars and 89 grain appearance, eating and cooking quality traits. These included grain shape, protein content, amylose conten

SUBMITTER: Hori K 

PROVIDER: S-EPMC11865119 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature