Identification and Mapping of Stable QTLs for Seed Oil and Protein Content in Soybean [Glycine max (L.) Merr.]

• DOI: 10.1021/acs.jafc.0c01271
• Publication Date: 2020-05-13T22:16:57Z
• Authors: Jinghua Huang; Qibin Ma; Zhandong Cai; Qiuju Xia; Shuxian Li; Jia Jia; Li Chu; Tengxiang Lian; Hai Nian; Yanbo Cheng
• Keywords: 0301 basic medicine; 2. Zero hunger; 03 medical and health sciences; Glycine max; Quantitative Trait Loci; Seeds; Plant Oils; Inbreeding; Plant Proteins

This research aimed to identify stable quantitative trait loci (QTL) associated with oil and protein content in soybean. A population of 196 recombinant inbred lines (RILs) derived from Huachun 2 × Wayao was used to evaluate these target traits. A high-density genetic linkage map was constructed by using high-throughput genome-wide sequencing technology, which contained 3413 recombination bin markers and spanned 5400.4 cM with an average distance of 1.58 cM between markers. Eighteen stable QTLs controlling oil and protein content were detected. Among them, qOil-11-1 was identified for the first time as a novel QTL, while qOil-5-1, qPro-10-1, and qPro-14-1 were strong and stable QTLs with high log-likelihood (LOD) values. Sixteen differentially expressed genes (DEGs) within these four QTLs were shown to be highly expressed during seed development based on RNA sequencing (RNA-seq) data analysis. Our results may contribute toward gene mining and marker-assisted selection (MAS) for breeding a high-quality soybean in the future.