Characterization of Novel Loci Controlling Seed Oil Content in Brassica Napus by Marker Metabolite-based Multi-omics Analysis

Overview

Journal Genome Biol

Specialties Biology
Genetics

Date 2023 Jun 19

PMID 37337206

Authors

Long Li

Zhitao Tian

Jie Chen

Zengdong Tan

Yuting Zhang

Hu Zhao

Xiaowei Wu

Xuan Yao

Weiwei Wen

Wei Chen

Liang Guo

Affiliations

Soon will be listed here.

Abstract

Background: Seed oil content is an important agronomic trait of Brassica napus (B. napus), and metabolites are considered as the bridge between genotype and phenotype for physical traits.

Results: Using a widely targeted metabolomics analysis in a natural population of 388 B. napus inbred lines, we quantify 2172 metabolites in mature seeds by liquid chromatography mass spectrometry, in which 131 marker metabolites are identified to be correlated with seed oil content. These metabolites are then selected for further metabolite genome-wide association study and metabolite transcriptome-wide association study. Combined with weighted correlation network analysis, we construct a triple relationship network, which includes 21,000 edges and 4384 nodes among metabolites, metabolite quantitative trait loci, genes, and co-expression modules. We validate the function of BnaA03.TT4, BnaC02.TT4, and BnaC05.UK, three candidate genes predicted by multi-omics analysis, which show significant impacts on seed oil content through regulating flavonoid metabolism in B. napus.

Conclusions: This study demonstrates the advantage of utilizing marker metabolites integrated with multi-omics analysis to dissect the genetic basis of agronomic traits in crops.

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