Transcripts and genomic intervals associated with variation in metabolite abundance in maize leaves under field conditions.

ABSTRACT: Plants exhibit extensive environment-dependent intraspecific metabolic variation, which likely plays a role in determining variation in whole plant phenotypes. However, much of the work seeking to use natural variation to link genes and transcript's impacts on plant metabolism has employed data from controlled environments. Here, we generated and analyzed data on the variation in the abundance of 26 metabolites across 660 maize inbred lines under field conditions. We employ these data and previously published transcript and whole plant phenotype data reported for the same field experiment to identify both genomic intervals (through genome-wide association studies (GWAS)) and transcripts (using both transcriptome-wide association studies (TWAS) and an explainable artificial intelligence (AI

SUBMITTER: Mathivanan RK 

PROVIDER: S-EPMC12046723 | biostudies-literature | 2025 May

REPOSITORIES: biostudies-literature