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This page was last modified on 05 Jun 2025 05 Jun 2025 .
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Molecular Signal Processing
Bioorganic Chemistry
Biochemistry of Plant Interactions
Cell and Metabolic Biology
Independent Junior Research Groups
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Publications
Both gas chromatography-mass spectrometry (GC-MS) and liquid chromatography-mass spectrometry (LC-MS) are widely used metabolomics approaches to detect andquantify hundreds of thousands of metabolite features. However, the application ofthese techniques to a large number of samples is subject to more complex interactions,particularly for genome-wide association studies (GWAS). This protocol describesan optimized metabolic workflow, which combines an efficient and fast samplepreparation with the analysis of a large number of samples for legume crop species.This slightly modified extraction method was initially developed for the analysis of plantand animal tissues and is based on extraction in methyl tert-butyl ether: methanolsolvent to allow the capture of polar and lipid metabolites. In addition, we provide astep-by-step guide for reducing analytical variations, which are essential for the high-throughput evaluation of metabolic variance in GWAS.
Publications
GWAS involves testing genetic variants across the genomes of many individuals of a population to identify genotype–phenotype association. It was initially developed and has proven highly successful in human disease genetics. In plants genome-wide association studies (GWAS) initially focused on single feature polymorphism and recombination and linkage disequilibrium but has now been embraced by a plethora of different disciplines with several thousand studies being published in model and crop species within the last decade or so. Here we will provide a comprehensive review of these studies providing cases studies on biotic resistance, abiotic tolerance, yield associated traits, and metabolic composition. We also detail current strategies of candidate gene validation as well as the functional study of haplotypes. Furthermore, we provide a critical evaluation of the GWAS strategy and its alternatives as well as future perspectives that are emerging with the emergence of pan-genomic datasets.
This page was last modified on 05 Jun 2025 05 Jun 2025 .

