Amino acid and codon usage explain amino acid misincorporation rates across the tree of life
Poehls, J.; Landerer, C.; Daniels, K. G.; Toth-Petroczy, A.
Show abstract
Protein translation is an error-prone process resulting in a random population of altered protein sequences in every cell. Here, we analyzed thousands of publicly available mass spectrometry datasets to detect amino acid misincorporations and quantify error rates in 14 model organisms. We find that overall error rates and the patterns of codon to amino acid error rates correlate across species. We estimate that on average 1-2% of protein molecules in a cell harbor a misincorporation, whereas this proportion can reach 10% for long proteins. Highly expressed and very long proteins have lower error rates, indicating evolutionary selection on codon usage to reduce the cost of translation errors. While both codon-anticodon mispairing and tRNA mischarging contribute to misincorporations, we estimate that [~]70% of misincorporation events are due to mispairing. The more frequent an amino acid in the proteome, the more likely it is misincorporated (r = 0.53), likely because frequent amino acids are abundant in the cell, increasing the rate of mischarging, and have abundant tRNAs, leading to increased mispairing. Overall, we find that amino acid and codon usage explain error rates. The conserved patterns of amino acid misincorporations from bacteria to humans suggest universal mechanisms driving translational fidelity.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- The Integration of Proteogenomics and Ribosome Profiling Circumvents Key Limitations to Increase the Coverage and Confidence of Novel Microproteins 95%
- Ribosome profiling at isoform level reveals an evolutionary conserved impact of differential splicing on the proteome 95%
- TopBP1 utilises a bipartite GINS binding mode to support genome replication 94%
Similar papers in this journal
- Turnover and replication analysis by isotope labeling (TRAIL) reveals the influence of tissue context on protein and organelle lifetimes 96%
- hu.MAP3.0: Atlas of human protein complexes by integration of > 25,000 proteomic experiments 95%
- Interrogation of RNA-protein interaction dynamics in bacterial growth 95%
Similar papers in this journal
Similar papers in this journal
- Absent from DNA and protein: genomic characterization of nullomers and nullpeptides across functional categories and evolution 96%
- The Ribosome Profiling landscape of yeast reveals a high diversity in pervasive translation 96%
- Codon-specific ribosome stalling reshapes translational dynamics during branched-chain amino acid starvation 96%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.