Significance: Translational control is a cornerstone of gene-expression regulation in physiological and pathological contexts. The contribution of nonribosomal factors, including messenger RNAs (mRNAs) and mRNA-bound factors, to translational control have been extensively studied. Recently, the hypothesis of a ribosome-mediated regulation emerged, which proposes that cells produce ribosomes of different composition and displaying different translational properties. This work reveals that ribosomal RNA 2′-O-methylation can be modulated in human ribosomes, including at key functional sites for translation, and that changes in the 2′-O-methylation pattern control the intrinsic capabilities of ribosomes to translate mRNAs. This work directly demonstrates the existence of composition-modified ribosomes and their associated change in translational activity as conceptualized by the specialized ribosome concept.

EMBO Press is an editorially independent publishing platform for the development of EMBO scientific publications.

We specifically sought genes within the yeast genome controlled by a non‐conventional translation mechanism involving the stop codon. For this reason, we designed a computer program using the yeast database genomic regions, and seeking two adjacent open reading frames separated only by a unique stop codon (called SORFs). Among the 58 SORFs identified, eight displayed a stop codon bypass level ranging from 3 to 25%. For each of the eight sequences, we demonstrated the presence of a poly(A) mRNA. Using isogenic [PSI⁺] and [psi^–] yeast strains, we showed that for two of the sequences the mechanism used is a bona fide readthrough. However, the six remaining sequences were not sensitive to the PSI state, indicating either a translation termination process independent of eRF3 or a new stop codon bypass mechanism. Our results demonstrate that the presence of a stop codon in a large ORF may not always correspond to a sequencing error, or a pseudogene, but can be a recoding signal in a functional gene. This emphasizes that genome annotation should take into account the fact that recoding signals could be more frequently used than previously expected.