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

Authors :
Huang, Jinghua
Ma, Qibin
Cai, Zhandong
Xia, Qiuju
Li, Shuxian
Jia, Jia
Chu, Li
Lian, Tengxiang
Nian, Hai
Cheng, Yanbo
Source :
Journal of Agricultural and Food Chemistry; June 2020, Vol. 68 Issue: 23 p6448-6460, 13p
Publication Year :
2020

Abstract

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-11-1was identified for the first time as a novel QTL, while qOil-5-1, qPro-10-1, and qPro-14-1were 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.

Details

Language :
English
ISSN :
00218561 and 15205118
Volume :
68
Issue :
23
Database :
Supplemental Index
Journal :
Journal of Agricultural and Food Chemistry
Publication Type :
Periodical
Accession number :
ejs53226226
Full Text :
https://doi.org/10.1021/acs.jafc.0c01271