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Updated: Sep 3, 2025

Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics
Published on: June 17, 2012
Understanding carotenoid biosynthetic pathway control points using metabolomic analysis and natural genetic variation
Weiwei Wen1, Xinxin Jia1, Weiyi Zhang1
1Key Laboratory of Horticultural Plant Biology, College of Horticulture and Forestry Sciences, Huazhong Agricultural University, Wuhan, China.
Abstract:
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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