Costs of ribosomal RNA stabilization affect ribosome composition at maximum growth rate.


Journal

Communications biology
ISSN: 2399-3642
Titre abrégé: Commun Biol
Pays: England
ID NLM: 101719179

Informations de publication

Date de publication:
17 Feb 2024
Historique:
received: 05 11 2023
accepted: 12 01 2024
medline: 18 2 2024
pubmed: 18 2 2024
entrez: 17 2 2024
Statut: epublish

Résumé

Ribosomes are key to cellular self-fabrication and limit growth rate. While most enzymes are proteins, ribosomes consist of 1/3 protein and 2/3 ribonucleic acid (RNA) (in E. coli).Here, we develop a mechanistic model of a self-fabricating cell, validated across diverse growth conditions. Through resource balance analysis (RBA), we explore the variation in maximum growth rate with ribosome composition, assuming constant kinetic parameters.Our model highlights the importance of RNA instability. If we neglect it, RNA synthesis is always cheaper than protein synthesis, leading to an RNA-only ribosome at maximum growth rate. Upon accounting for RNA turnover, we find that a mixed ribosome composed of RNA and proteins maximizes growth rate. To account for RNA turnover, we explore two scenarios regarding the activity of RNases. In (a) degradation is proportional to RNA content. In (b) ribosomal proteins cooperatively mitigate RNA instability by protecting it from misfolding and subsequent degradation. In both cases, higher protein content elevates protein synthesis costs and simultaneously lowers RNA turnover expenses, resulting in mixed RNA-protein ribosomes. Only scenario (b) aligns qualitatively with experimental data across varied growth conditions.Our research provides fresh insights into ribosome biogenesis and evolution, paving the way for understanding protein-rich ribosomes in archaea and mitochondria.

Identifiants

pubmed: 38368456
doi: 10.1038/s42003-024-05815-4
pii: 10.1038/s42003-024-05815-4
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

196

Informations de copyright

© 2024. The Author(s).

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Auteurs

Diana Széliová (D)

Department of Analytical Chemistry, University of Vienna, Vienna, 1090, Austria.

Stefan Müller (S)

Faculty of Mathematics, University of Vienna, Vienna, 1090, Austria.

Jürgen Zanghellini (J)

Department of Analytical Chemistry, University of Vienna, Vienna, 1090, Austria. juergen.zanghellini@univie.ac.at.

Classifications MeSH