Witte, Franziska
Ruiz Orera, Jorge
Ciolli Mattioli, Camilla
Blachut, Susanne
Adami, Eleonora
Felicitas Schulz, Jana
Schneider-Lunitz, Valentin
Hummel, Oliver
Patone, Giannino
Mücke, Michael Benedikt
Šilhavý, Jan
Heinig, Matthias
Bottolo, Leonardo
Sanchis, Daniel
Vingron, Martin
Chekulaeva, Marina
Pravenec, Michal
Hubner, Norbert
Van Heesch, Sebastiaan
2021-10-13T10:53:04Z
2021-10-13T10:53:04Z
2021
Background: Little is known about the impact of trans-acting genetic variation on the rates with which proteins are synthesized by ribosomes. Here, we investigate the influence of such distant genetic loci on the efficiency of mRNA translation and define their contribution to the development of complex disease phenotypes within a panel of rat recombinant inbred lines. Results: We identify several tissue-specific master regulatory hotspots that each control the translation rates of multiple proteins. One of these loci is restricted to hypertrophic hearts, where it drives a translatome-wide and protein length-dependent change in translational efficiency, altering the stoichiometric translation rates of sarcomere proteins. Mechanistic dissection of this locus across multiple congenic lines points to a translation machinery defect, characterized by marked differences in polysome profiles and misregulation of the small nucleolar RNA SNORA48. Strikingly, from yeast to humans, we observe reproducible protein length-dependent shifts in translational efficiency as a conserved hallmark of translation machinery mutants, including those that cause ribosomopathies. Depending on the factor mutated, a pre-existing negative correlation between protein length and translation rates could either be enhanced or reduced, which we propose to result from mRNA-specific imbalances in canonical translation initiation and reinitiation rates. Conclusions: We show that distant genetic control of mRNA translation is abundant in mammalian tissues, exemplified by a single genomic locus that triggers a translation-driven molecular mechanism. Our work illustrates the complexity through which genetic variation can drive phenotypic variability between individuals and thereby contribute to complex disease.
S.v.H. was supported by an EMBO long-term fellowship (ALTF 186-2015, LTFCOFUND2013, GA-2013-609409). N.H. is the recipient of an ERC advanced grant under the European Union Horizon 2020 Research and Innovation Program (grant agreement AdG788970) and is supported by a grant from the Leducq Foundation (16CVD03). M.P. was supported by Praemium Academiae award (AP1502) of the Czech Academy of Sciences. D.S. was funded by Grant 20153810 from Fundació La Marató de TV3. Open Access funding enabled and organized by Projekt DEAL.
English
Genetic variation; trans QTL mapping; Translational efficiency; Ribosome profiling
BMC
Reproducció del document publicat a https://doi.org/10.1186/s13059-021-02397-w
Genome Biology, 2021, vol. 22, 191
info:eu-repo/grantAgreement/EC/H2020/788970/EU/CodingHeart
cc-by (c) Witte et al., 2021
http://creativecommons.org/licenses/by/4.0/
Documents de recerca [17848]