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Understanding carotenoid biosynthetic pathway control points using metabolomic analysis and natural genetic variation

文献类型： 外文期刊

作者： Wen, Weiwei 1 ; Jia, Xinxin 1 ; Zhang, Weiyi 1 ; Jiang, Xiaohui 1 ; Fernie, Alisdair R. 4 ;

作者机构： 1.Huazhong Agr Univ, Coll Hort & Forestry Sci, Key Lab Hort Plant Biol, Wuhan, Hubei, Peoples R China

2.Guangdong Prov Key Lab Tea Plant Resources Innova, Guangzhou, Guangdong, Peoples R China

3.Guangdong Acad Agr Sci, Tea Res Inst, Guangzhou, Guangdong, Peoples R China

4.Max Planck Inst Mol Plant Physiol, Potsdam, Germany

期刊名称：CAROTENOIDS: Carotenoid and Apocarotenoid Biosynthesis Metabolic Engineering and Synthetic Biology （ 影响因子：1.682； 五年影响因子：2.071 ）

ISSN： 0076-6879

年卷期： 2022 年 671 卷

页码：

收录情况： SCI

摘要： Advances in analytical methodologies, including those coupled with mass spectrometry (gas chromatography and liquid chromatography; GC-MS and LC-MS) have facilitated profiling of carotenoids in complex plant extracts. The combination of metabolomic data together with diverse germplasm resources provides a means to discover the underlying genetic factors responsible for modulating the carotenoid biosynthetic pathway. Here we summarize metabolomics methodologies for large-scale metabolite analysis and provide guidelines for genetic analysis to leverage natural variation for identification of genes encoding biosynthetic pathway enzymes based on linkage mapping and/or genome-wide association studies (GWAS). We also demonstrate the workflow for identifying genes in carotenoid biosynthesis based on natural variation using case studies in several species.

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