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 14Â 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.
Metabolite-based genome-wide association study enables dissection of the flavonoid decoration pathway of wheat kernels.
基于代谢物的全基因组关联研究能够解析小麦籽粒中类黄酮的修饰途径
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作者:Chen Jie, Hu Xin, Shi Taotao, Yin Huanran, Sun Dongfa, Hao Yuanfeng, Xia Xianchun, Luo Jie, Fernie Alisdair R, He Zhonghu, Chen Wei
| 期刊: | Plant Biotechnology Journal | 影响因子: | 10.500 |
| 时间: | 2020 | 起止号: | 2020 Aug;18(8):1722-1735 |
| doi: | 10.1111/pbi.13335 | 研究方向: | 代谢 |
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