Publikationstyp: | Konferenz: Poster |
Art der Begutachtung: | Keine Begutachtung |
Titel: | Accounting for programmed ribosomal frameshifting in the computation of codon usage bias indices |
Autor/-in: | Garcia, Victor Zoller, Stefan Anisimova, Maria |
Angaben zur Konferenz: | Symposium on Quantitative Network Biology, Kandersteg, 19-20 November 2018 |
Erscheinungsdatum: | 2018 |
Sprache: | Englisch |
Schlagwörter: | Codon Usage Bias; Programmed ribosomal frameshifting; Genetics; Protein expression |
Fachgebiet (DDC): | 572: Biochemie |
Zusammenfassung: | 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. Within genomes, 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 in Saccharomyces cerevisiae 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/11475/14285 |
Volltext Version: | Aktualisierte Version |
Lizenz (gemäss Verlagsvertrag): | Lizenz gemäss Verlagsvertrag |
Departement: | Life Sciences und Facility Management |
Organisationseinheit: | Institut für Computational Life Sciences (ICLS) |
Enthalten in den Sammlungen: | Publikationen Life Sciences und Facility Management |
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Garcia, V., Zoller, S., & Anisimova, M. (2018). Accounting for programmed ribosomal frameshifting in the computation of codon usage bias indices. Symposium on Quantitative Network Biology, Kandersteg, 19-20 November 2018.
Garcia, V., Zoller, S. and Anisimova, M. (2018) ‘Accounting for programmed ribosomal frameshifting in the computation of codon usage bias indices’, in Symposium on Quantitative Network Biology, Kandersteg, 19-20 November 2018.
V. Garcia, S. Zoller, and M. Anisimova, “Accounting for programmed ribosomal frameshifting in the computation of codon usage bias indices,” in Symposium on Quantitative Network Biology, Kandersteg, 19-20 November 2018, 2018.
GARCIA, Victor, Stefan ZOLLER und Maria ANISIMOVA, 2018. Accounting for programmed ribosomal frameshifting in the computation of codon usage bias indices. In: Symposium on Quantitative Network Biology, Kandersteg, 19-20 November 2018. Conference poster. 2018
Garcia, Victor, Stefan Zoller, and Maria Anisimova. 2018. “Accounting for Programmed Ribosomal Frameshifting in the Computation of Codon Usage Bias Indices.” Conference poster. In Symposium on Quantitative Network Biology, Kandersteg, 19-20 November 2018.
Garcia, Victor, et al. “Accounting for Programmed Ribosomal Frameshifting in the Computation of Codon Usage Bias Indices.” Symposium on Quantitative Network Biology, Kandersteg, 19-20 November 2018, 2018.
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