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Article|24 Jul 2024|OPEN
Integrating QTL mapping and transcriptomics to decipher the genetic architecture of sterol metabolism in Brassica napus
Yiyi Xiong1 ,† , Guangyuan Lu2 ,† , Huaixin Li1 , Jianjie He1 , Shipeng Fan1 , Shuxiang Yan1 , Liangxiao Zhang3 , , Haibo Jia1 , and Maoteng Li,1 ,
1Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Huazhong University of Science and Technology, 1037 Luoxiong Road, Hongshan District, Wuhan 430074, China
2College of Biology and Food Engineering, Kechuang 1st Road, Maonan District, Guangdong University of Petrochemical Technology, Maoming 525000, China
3Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Xudong 2nd Road, Wuchang District, Wuhan 430062, China
*Corresponding author. E-mail: zhanglx@caas.cn,haibo.jia@hust.edu.cn,limaoteng426@hust.edu.cn
Both authors contributed equally to the study.

Horticulture Research 11,
Article number: uhae196 (2024)
doi: https://doi.org/10.1093/hr/uhae196
Views: 1185

Received: 10 Apr 2024
Accepted: 11 Jul 2024
Published online: 24 Jul 2024

Abstract

Sterols are secondary metabolites commonly found in rapeseed that play crucial physiological roles in plants and also benefit human health. Consequently, unraveling the genetic basis of sterol synthesis in rapeseed is highly important. In this study, 21 individual sterols as well as total sterol (TS) content were detected in a double haploid (DH) population of Brassica napus, and a total of 24 quantitative trait loci (QTL) and 157 mQTL were identified that were associated with TS and different individual sterols. Time-series transcriptomic analysis showed that the differentially expressed genes (DEGs) involved in sterol and lipid biosynthesis pathways were enriched. Additionally, a regulatory network between sterol-related DEGs and transcription factors (TFs) was established using coexpression analysis. Some candidate genes were identified with the integration of transcriptomic analysis and QTL mapping, and the key candidate gene BnSQS1.C03 was selected for further functional analysis. BnSQS1.C03 demonstrated squalene synthase activity in vitro and increased the TS by 3.8% when overexpressed in Arabidopsis. The present results provide new insights into sterol regulatory pathways and a valuable genetic basis for breeding rapeseed varieties with high sterol content in the future.