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Evolutionary trade-off and mutational bias could favor transcriptional over translational divergence within paralog pairs

View ORCID ProfileSimon Aubé, View ORCID ProfileLou Nielly-Thibault, View ORCID ProfileChristian R. Landry
doi: https://doi.org/10.1101/2022.05.24.493236
Simon Aubé
1Département de Biochimie, de Microbiologie et de Bio-informatique, Faculté des Sciences et de Génie, Université Laval, G1V 0A6, Canada
2Institut de Biologie Intégrative et des Systèmes, Université Laval, G1V 0A6, Canada
3PROTEO, Le regroupement québécois de recherche sur la fonction, l’ingénierie et les applications des protéines, Université Laval, G1V 0A6, Canada
4Centre de Recherche en Données Massives, Université Laval, G1V 0A6, Canada
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  • For correspondence: simon.aube.2@ulaval.ca Christian.Landry@bio.ulaval.ca
Lou Nielly-Thibault
2Institut de Biologie Intégrative et des Systèmes, Université Laval, G1V 0A6, Canada
3PROTEO, Le regroupement québécois de recherche sur la fonction, l’ingénierie et les applications des protéines, Université Laval, G1V 0A6, Canada
4Centre de Recherche en Données Massives, Université Laval, G1V 0A6, Canada
5Département de Biologie, Faculté des Sciences et de Génie, Université Laval, G1V 0A6, Canada
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Christian R. Landry
1Département de Biochimie, de Microbiologie et de Bio-informatique, Faculté des Sciences et de Génie, Université Laval, G1V 0A6, Canada
2Institut de Biologie Intégrative et des Systèmes, Université Laval, G1V 0A6, Canada
3PROTEO, Le regroupement québécois de recherche sur la fonction, l’ingénierie et les applications des protéines, Université Laval, G1V 0A6, Canada
4Centre de Recherche en Données Massives, Université Laval, G1V 0A6, Canada
5Département de Biologie, Faculté des Sciences et de Génie, Université Laval, G1V 0A6, Canada
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  • ORCID record for Christian R. Landry
  • For correspondence: simon.aube.2@ulaval.ca Christian.Landry@bio.ulaval.ca
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Abstract

How changes in the different steps of protein synthesis – transcription, translation and degradation – contribute to differences of protein abundance among genes is not fully understood. There is however accumulating evidence that transcriptional divergence might have a prominent role. Here, we show that yeast paralogous genes are more divergent in transcription than in translation. We explore two causal mechanisms for this predominance of transcriptional divergence: an evolutionary trade-off between the precision and economy of gene expression and a larger mutational target size for transcription. Performing simulations within a minimal model of post-duplication evolution, we find that both mechanisms are consistent with the observed divergence patterns. We also investigate how additional properties of the effects of mutations on gene expression, such as their asymmetry and correlation across levels of regulation, can shape the evolution of duplicates. Our results highlight the importance of fully characterizing the distributions of mutational effects on transcription and translation. They also show how general trade-offs in cellular processes and mutation bias can have far-reaching evolutionary impacts.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • Additional analyses were performed to validate the observation that yeast paralog pairs are more divergent in transcription than in translation, which is central to the modeling and simulation work presented in the manuscript. The paper was also largely rewritten, to make it clearer.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted January 22, 2023.
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Evolutionary trade-off and mutational bias could favor transcriptional over translational divergence within paralog pairs
Simon Aubé, Lou Nielly-Thibault, Christian R. Landry
bioRxiv 2022.05.24.493236; doi: https://doi.org/10.1101/2022.05.24.493236
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Evolutionary trade-off and mutational bias could favor transcriptional over translational divergence within paralog pairs
Simon Aubé, Lou Nielly-Thibault, Christian R. Landry
bioRxiv 2022.05.24.493236; doi: https://doi.org/10.1101/2022.05.24.493236

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