分子生物学
IVD分子诊断
细胞培养与分析
蛋白研究
细胞因子
重组蛋白
抗体
高通量测序建库
病原检测UCF系列
生物医药
工具酶
抑制剂激活剂与常用试剂
仪器
耗材

Integrating GWAS and gene expression to decipher genetic components of pericarp thickness and soluble sugars in sweet corn

Ashraf Humera, Wu Yu, Xiao Yingni, Liang Xinyue, Li Xiaofeng, Shokat Sajid, Li Yuliang

Journal:BMC PLANT BIOLOGY

IF:4.8

DOI:10.1186/s12870-026-08165-x

PMID:

Published:2026-01-19

research field:分子生物学植物学

Abstract

Background Grain quality in sweet corn ( Zea mays L .) is primarily determined by pericarp thickness and soluble sugar composition, which influence consumer preference and processing suitability. Despite their importance, the genetic basis of these traits remains insufficiently understood. Elucidating the underlying genetic architecture is essential for developing sweet corn varieties with improved kernel texture and sweetness. Results A panel of 240 sweet corn inbred lines was evaluated across two seasons in Guangzhou, China, using an alpha-lattice design with two replications to enhance phenotypic precision. Phenotypic data for pericarp thickness and sugar-related traits were adjusted using best linear unbiased predictions (BLUPs), and genotyping was performed with a 60 K SNP array. Genome-wide association study (GWAS) identified 174 loci significantly associated with the target traits, of which 84 were consistently detected across both seasons. Candidate genes within these loci were enriched in biological pathways related to cell wall biosynthesis and sugar metabolism. Notable gene families included cellulose synthase, pectin methylesterase, peroxidase, sucrose synthase, sucrose phosphate synthase, and SWEET transporters, all of which are known to contribute to pericarp development or sugar accumulation. Expression profiling of 12 representative candidate genes in contrasting inbred lines revealed consistent differential expression patterns aligned with phenotypic variation, further supporting their role in regulating pericarp thickness and sweetness. Conclusions This study provides a comprehensive analysis of the genetic determinants of grain quality traits in sweet corn. The discovery of stable loci and functionally relevant candidate genes offers new insights into the molecular mechanisms governing kernel texture and sugar accumulation. These findings supply val

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