Insights into the Genomic Architecture of Seed and Pod Quality Traits in the U.S. Peanut Mini-Core Diversity Panel

• Published in: Plants (Basel) Vol. 11; no. 7; p. 837
• Main Authors: Patel, Jinesh D, Wang, Ming Li, Dang, Phat, Butts, Chris, Lamb, Marshall, Chen, Charles Y
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 22.03.2022; MDPI
• Subjects: Agricultural production; Chromosomes; diversity panel; Dormancy; Gene mapping; Genome-wide association studies; Genomes; Genomics; Germination; GWAS; Kernels; Legumes; Markers; Nucleotides; peanut; Peanuts; Phenotypic variations; Polymorphism; Population studies; Quantitative trait loci; Seed germination; seed quality traits; Seeds; Single-nucleotide polymorphism; Software; Sound; United States > US; seed quality traits; diversity panel; peanut; GWAS
• ISSN: 2223-7747; 2223-7747
• DOI: 10.3390/plants11070837

Traits such as seed weight, shelling percent, percent sound mature kernels, and seed dormancy determines the quality of peanut seed. Few QTL (quantitative trait loci) studies using biparental mapping populations have identified QTL for seed dormancy and seed grade traits. Here, we report a genome-wide association study (GWAS) to detect marker-trait associations for seed germination, dormancy, and seed grading traits in peanut. A total of 120 accessions from the U.S. peanut mini-core collection were evaluated for seed quality traits and genotyped using Axiom SNP (single nucleotide polymorphism) array for peanut. We observed significant variation in seed quality traits in different accessions and different botanical varieties. Through GWAS, we were able to identify multiple regions associated with sound mature kernels, seed weight, shelling percent, seed germination, and dormancy. Some of the genomic regions that were SNP associated with these traits aligned with previously known QTLs. For instance, QTL for seed dormancy has been reported on chromosome A05, and we also found SNP on the same chromosome associated with seed dormancy, explaining around 20% of phenotypic variation. In addition, we found novel genomic regions associated with seed grading, seed germination, and dormancy traits. SNP markers associated with seed quality and dormancy identified here can accelerate the selection process. Further, exploring the function of candidate genes identified in the vicinity of the associated marker will assist in understanding the complex genetic network that governs seed quality.