GWAS with principal component analysis identify QTLs associated with main peanut flavor-related traits

• Published in: Frontiers in plant science Vol. 14; p. 1204415
• Main Authors: Zhang, Hui, Dean, Lisa, Wang, Ming Li, Dang, Phat, Lamb, Marshall, Chen, Charles
• Format: Journal Article
• Language: English
• Published: Frontiers Media S.A 15.09.2023
• Subjects: flavor; GWAS; PCA; peanuts; Plant Science; QTL
• ISSN: 1664-462X; 1664-462X
• DOI: 10.3389/fpls.2023.1204415

Peanut flavor is a complex and important trait affected by raw material and processing technology owing to its significant impact on consumer preference. In this research, principal component analysis (PCA) on 33 representative traits associated with flavor revealed that total sugars, sucrose, and total tocopherols provided more information related to peanut flavor. Genome-wide association studies (GWAS) using 102 U.S. peanut mini-core accessions were performed to study associations between 12,526 single nucleotide polymorphic (SNP) markers and the three traits. A total of 7 and 22 significant quantitative trait loci (QTLs) were identified to be significantly associated with total sugars and sucrose, respectively. Among these QTLs, four and eight candidate genes for the two traits were mined. In addition, two and five stable QTLs were identified for total sugars and sucrose in both years separately. No significant QTLs were detected for total tocopherols. The results from this research provide useful knowledge about the genetic control of peanut flavor, which will aid in clarifying the molecular mechanisms of flavor research in peanuts.