Translation is one of the multiple complementary steps that orchestrates gene activity. In contrast to the straightforwardness of transcriptional surveys, genome-wide profiles of the translational landscape of plant cells remain technically challenging and are thus less well explored. Protein-coding genes are expressed at a variable degree of efficiency, resulting in pronounced discordance among the regulatory levels that govern gene activity. Ribo-Seq is an extremely useful tool for estimating translation efficiency, but the data sets available for plants are limited. Here, we compare inventories of expressed and translated RNA populations, generated by mRNA sequencing (RNA-Seq) and ribosome footprinting (Ribo-Seq) from shoots and roots of Arabidopsis thaliana seedlings. Our data set provides information on the translational fitness of protein-coding mRNAs that may aid in obtaining a comprehensive picture of the regulatory levels governing genes activity across the genome.
© 2025. The Author(s).