Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-3855
Publication type: Other (textual)
Title: Accounting for programmed ribosomal frameshifting in the computation of codon usage bias indices
Authors: Garcia, Victor
Anisimova, Maria
DOI: 10.21256/zhaw-3855
10.1101/293340
Issue Date: 2-Apr-2018
Publisher / Ed. Institution: bioRxiv
Language: English
Subjects: Genetics; Codon usage bias; Programmed ribosomal frameshifting
Subject (DDC): 572: Biochemistry
Abstract: Experimental evidence shows that synonymous mutations can have important consequences on genetic fitness. Many organisms display codon usage bias (CUB), where synonymous codons that are translated into the same amino acid appear with distinct frequency. CUB is thought to arise from selection for translational efficiency and accuracy, termed the translational efficiency hypothesis (TEH). Indeed, CUB indices correlate with protein expression levels, which is widely interpreted as evidence for translational selection. However, these tests neglect -1 programmed ribosomal frameshifting (-1 PRF), an important translational disruption effect found across all organisms of the tree of life. Genes that contain -1 PRF signals should cost more to express than genes without. Thus, CUB indices that do not consider -1 PRF may overestimate genes' true adaptation to translational efficiency and accuracy constraints. Here, we first investigate whether -1 PRF signals do indeed carry such translational cost. We then propose two corrections for CUB indices for genes containing -1 PRF signals. We retest the TEH under these corrections. We find that the correlation between corrected CUB index and protein expression remains intact for most levels of uniform -1 PRF efficiencies, and tends to increase when these efficiencies decline with protein expression. We conclude that the TEH is strengthened and that -1 PRF events constitute a promising and useful tool to examine the relationships between CUB and selection for translation efficiency and accuracy.
URI: https://digitalcollection.zhaw.ch/handle/11475/7944
Fulltext version: Published version
License (according to publishing contract): CC BY-NC-ND 4.0: Attribution - Non commercial - No derivatives 4.0 International
Departement: Life Sciences and Facility Management
Organisational Unit: Institute of Computational Life Sciences (ICLS)
Appears in collections:Publikationen Life Sciences und Facility Management

Files in This Item:
File Description SizeFormat 
293340.full.pdfAccounting for programmed ribosomal frameshifting in the computation of codon usage bias indices2.33 MBAdobe PDFThumbnail
View/Open
Show full item record
Garcia, V., & Anisimova, M. (2018). Accounting for programmed ribosomal frameshifting in the computation of codon usage bias indices. bioRxiv. https://doi.org/10.21256/zhaw-3855
Garcia, V. and Anisimova, M. (2018) Accounting for programmed ribosomal frameshifting in the computation of codon usage bias indices. bioRxiv. Available at: https://doi.org/10.21256/zhaw-3855.
V. Garcia and M. Anisimova, Accounting for programmed ribosomal frameshifting in the computation of codon usage bias indices. bioRxiv, 2018. doi: 10.21256/zhaw-3855.
GARCIA, Victor und Maria ANISIMOVA, 2018. Accounting for programmed ribosomal frameshifting in the computation of codon usage bias indices. bioRxiv
Garcia, Victor, and Maria Anisimova. 2018. Accounting for Programmed Ribosomal Frameshifting in the Computation of Codon Usage Bias Indices. bioRxiv. https://doi.org/10.21256/zhaw-3855.
Garcia, Victor, and Maria Anisimova. Accounting for Programmed Ribosomal Frameshifting in the Computation of Codon Usage Bias Indices. bioRxiv, 2018, https://doi.org/10.21256/zhaw-3855.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.