Genome-Wide Association Study of Metabolic Traits in the Duckweed Spirodela polyrhiza

This dataset archives raw data and scripts for GWAS and analysis of metabolite contents in the giant duckweed Spirodela polyrhiza. In our study we aim on identifying the genetic basis controlling free metabolite contents and growth in S. polyrhiza. A total of 42 free metabolites were extracted from 137 genotypes and correlated with fitness parameters. Genetic associations with these metabolic traits were determined using GWAS. Metabolite contents were determined using LC-MS. Candidate gene expression was checked with qPCR. All scripts were written using R (version 4.2.0) and all GWAS were conducted in a macOS (version 10.14.6)/conda environment using the vcf2gwas platform.