Open AccessMetabolite‐based genome‐wide association study enables dissection of the flavonoid decoration pathway of wheat kernels
Author(s) -
Chen Jie,
Hu Xin,
Shi Taotao,
Yin Huanran,
Sun Dongfa,
Hao Yuanfeng,
Xia Xianchun,
Luo Jie,
Fernie Alisdair R.,
He Zhonghu,
Chen Wei
Publication year - 2020
Publication title -
plant biotechnology journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.525
H-Index - 115
eISSN - 1467-7652
pISSN - 1467-7644
DOI - 10.1111/pbi.13335
Subject(s) - biology , metabolome , metabolite , metabolomics , flavonoid , genome , gene , genetic association , snp , genetics , computational biology , single nucleotide polymorphism , genotype , bioinformatics , biochemistry , antioxidant
Summary The marriage of metabolomic approaches with genetic design has proven a powerful tool in dissecting diversity in the metabolome and has additionally enhanced our understanding of complex traits. That said, such studies have rarely been carried out in wheat. In this study, we detected 805 metabolites from wheat kernels and profiled their relative contents among 182 wheat accessions, conducting a metabolite‐based genome‐wide association study (mGWAS) utilizing 14 646 previously described polymorphic SNP markers. A total of 1098 mGWAS associations were detected with large effects, within which 26 candidate genes were tentatively designated for 42 loci. Enzymatic assay of two candidates indicated they could catalyse glucosylation and subsequent malonylation of various flavonoids and thereby the major flavonoid decoration pathway of wheat kernel was dissected. Moreover, numerous high‐confidence genes associated with metabolite contents have been provided, as well as more subdivided metabolite networks which are yet to be explored within our data. These combined efforts presented the first step towards realizing metabolomics‐associated breeding of wheat.