%0 Journal Article
%T Population-level gene expression can repeatedly link genes to functions in maize.
%A Torres-Rodríguez JV
%A Li D
%A Turkus J
%A Newton L
%A Davis J
%A Lopez-Corona L
%A Ali W
%A Sun G
%A Mural RV
%A Grzybowski MW
%A Zamft BM
%A Thompson AM
%A Schnable JC
%J Plant J
%V 119
%N 2
%D 2024 Jul 29
%M 38812347
%F 7.091
%R 10.1111/tpj.16801
%X Transcriptome-wide association studies (TWAS) can provide single gene resolution for candidate genes in plants, complementing genome-wide association studies (GWAS) but efforts in plants have been met with, at best, mixed success. We generated expression data from 693 maize genotypes, measured in a common field experiment, sampled over a 2-h period to minimize diurnal and environmental effects, using full-length RNA-seq to maximize the accurate estimation of transcript abundance. TWAS could identify roughly 10 times as many genes likely to play a role in flowering time regulation as GWAS conducted data from the same experiment. TWAS using mature leaf tissue identified known true-positive flowering time genes known to act in the shoot apical meristem, and trait data from a new environment enabled the identification of additional flowering time genes without the need for new expression data. eQTL analysis of TWAS-tagged genes identified at least one additional known maize flowering time gene through trans-eQTL interactions. Collectively these results suggest the gene expression resource described here can link genes to functions across different plant phenotypes expressed in a range of tissues and scored in different experiments.