The impact of ribosomal interference, codon usage, and exit tunnel interactions on translation elongation rate variation

PLoS Genet. 2018 Jan 16;14(1):e1007166. doi: 10.1371/journal.pgen.1007166. eCollection 2018 Jan.

Abstract

Previous studies have shown that translation elongation is regulated by multiple factors, but the observed heterogeneity remains only partially explained. To dissect quantitatively the different determinants of elongation speed, we use probabilistic modeling to estimate initiation and local elongation rates from ribosome profiling data. This model-based approach allows us to quantify the extent of interference between ribosomes on the same transcript. We show that neither interference nor the distribution of slow codons is sufficient to explain the observed heterogeneity. Instead, we find that electrostatic interactions between the ribosomal exit tunnel and specific parts of the nascent polypeptide govern the elongation rate variation as the polypeptide makes its initial pass through the tunnel. Once the N-terminus has escaped the tunnel, the hydropathy of the nascent polypeptide within the ribosome plays a major role in modulating the speed. We show that our results are consistent with the biophysical properties of the tunnel.

Publication types

  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Animals
  • Codon / metabolism*
  • Datasets as Topic
  • Humans
  • Peptide Chain Elongation, Translational*
  • Peptides / genetics
  • Peptides / metabolism
  • Protein Binding
  • Protein Biosynthesis / physiology
  • Protein Interaction Domains and Motifs
  • Ribosomes / chemistry
  • Ribosomes / metabolism*
  • Ribosomes / physiology
  • Saccharomyces cerevisiae / genetics
  • Saccharomyces cerevisiae / metabolism

Substances

  • Codon
  • Peptides

Grants and funding

This research is supported in part by National Science Foundation (NSF) CAREER Grant DBI-0846015, a Math+X Research Grant from the Simons Foundation, and a Packard Fellowship for Science and Engineering. YSS is a Chan Zuckerberg Biohub investigator and receives research funding from CZ Biohub. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.