TY - JOUR
T1 - Pairs of amino acids at the P- and A-sites of the ribosome predictably and causally modulate translation-elongation rates
T2 - Amino acid pairs module translation-elongation rates
AU - Ahmed, Nabeel
AU - Friedrich, Ulrike A.
AU - Sormanni, Pietro
AU - Ciryam, Prajwal
AU - Altman, Naomi S.
AU - Bukau, Bernd
AU - Kramer, Günter
AU - O'Brien, Edward P.
N1 - Funding Information:
Computations for this research were performed on the Pennsylvania State University’s Institute for Computational and Data Sciences’ Advanced CyberInfrastructure (ICS-ACI). This work was supported by a DKFZ NCT3.0 Integrative Project in Cancer Research (NCT3.0_2015.54 DysregPT), a European Research Council Advanced grant (TransFold 743118), and the Deutsche Forschungsgemeinschaft (SFB 1036) to B.B, a National Institutes of Health MIRA R35 (Project number 1R35GM124818-01) and National Science Foundation ABI (Innovation Award 1759860) to E.P.O. P. S. is supported by the Royal Society through a University Research Fellowship (URF\R1\201461).
Funding Information:
Computations for this research were performed on the Pennsylvania State University's Institute for Computational and Data Sciences? Advanced CyberInfrastructure (ICS-ACI). This work was supported by a DKFZ NCT3.0 Integrative Project in Cancer Research (NCT3.0_2015.54 DysregPT), a European Research Council Advanced grant (TransFold 743118), and the Deutsche Forschungsgemeinschaft (SFB 1036) to B.B, a National Institutes of Health MIRA R35 (Project number 1R35GM124818-01) and National Science Foundation ABI (Innovation Award 1759860) to E.P.O. P. S. is supported by the Royal Society through a University Research Fellowship (URF\R1\201461). E.P.O. conceived the study. U.F. G.K. and B.B. carried out experiments to generate S. cerevisiae mutant strains and ribosome profiling. N.A. analyzed the data. N.A. P.S. P.C. contributed to analysis methods of published ribosome profiling data and annotation of domain boundaries in S. cerevisiae. N.S.A contributed to all statistical analyses and their interpretation. N.A, P.S. U.F. G.K. and E.P.O. wrote the manuscript.
Publisher Copyright:
© 2020 Elsevier Ltd
PY - 2020/12/4
Y1 - 2020/12/4
N2 - Variation in translation-elongation kinetics along a transcript's coding sequence plays an important role in the maintenance of cellular protein homeostasis by regulating co-translational protein folding, localization, and maturation. Translation-elongation speed is influenced by molecular factors within mRNA and protein sequences. For example, the presence of proline in the ribosome's P- or A-site slows down translation, but the effect of other pairs of amino acids, in the context of all 400 possible pairs, has not been characterized. Here, we study Saccharomyces cerevisiae using a combination of bioinformatics, mutational experiments, and evolutionary analyses, and show that many different pairs of amino acids and their associated tRNA molecules predictably and causally encode translation rate information when these pairs are present in the A- and P-sites of the ribosome independent of other factors known to influence translation speed including mRNA structure, wobble base pairing, tripeptide motifs, positively charged upstream nascent chain residues, and cognate tRNA concentration. The fast-translating pairs of amino acids that we identify are enriched four-fold relative to the slow-translating pairs across Saccharomyces cerevisiae's proteome, while the slow-translating pairs are enriched downstream of domain boundaries. Thus, the chemical identity of amino acid pairs contributes to variability in translation rates, elongation kinetics are causally encoded in the primary structure of proteins, and signatures of evolutionary selection indicate their potential role in co-translational processes.
AB - Variation in translation-elongation kinetics along a transcript's coding sequence plays an important role in the maintenance of cellular protein homeostasis by regulating co-translational protein folding, localization, and maturation. Translation-elongation speed is influenced by molecular factors within mRNA and protein sequences. For example, the presence of proline in the ribosome's P- or A-site slows down translation, but the effect of other pairs of amino acids, in the context of all 400 possible pairs, has not been characterized. Here, we study Saccharomyces cerevisiae using a combination of bioinformatics, mutational experiments, and evolutionary analyses, and show that many different pairs of amino acids and their associated tRNA molecules predictably and causally encode translation rate information when these pairs are present in the A- and P-sites of the ribosome independent of other factors known to influence translation speed including mRNA structure, wobble base pairing, tripeptide motifs, positively charged upstream nascent chain residues, and cognate tRNA concentration. The fast-translating pairs of amino acids that we identify are enriched four-fold relative to the slow-translating pairs across Saccharomyces cerevisiae's proteome, while the slow-translating pairs are enriched downstream of domain boundaries. Thus, the chemical identity of amino acid pairs contributes to variability in translation rates, elongation kinetics are causally encoded in the primary structure of proteins, and signatures of evolutionary selection indicate their potential role in co-translational processes.
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U2 - 10.1016/j.jmb.2020.10.030
DO - 10.1016/j.jmb.2020.10.030
M3 - Article
C2 - 33152326
AN - SCOPUS:85097167518
SN - 0022-2836
VL - 432
JO - Journal of Molecular Biology
JF - Journal of Molecular Biology
IS - 24
M1 - 166696
ER -