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Protein degradation sets the fraction of active ribosomes at vanishing growth.
Calabrese, Ludovico; Grilli, Jacopo; Osella, Matteo; Kempes, Christopher P; Lagomarsino, Marco Cosentino; Ciandrini, Luca.
Affiliation
  • Calabrese L; IFOM Foundation, FIRC Institute for Molecular Oncology, Milan, Italy.
  • Grilli J; Quantitative Life Sciences section, The Abdus Salam International Centre for Theoretical Physics (ICTP), Trieste, Italy.
  • Osella M; Dipartimento di Fisica, Università di Torino and INFN, Turin, Italy.
  • Kempes CP; INFN sezione di Torino, Turin, Italy.
  • Lagomarsino MC; The Santa Fe Institute, Santa Fe, New Mexico, United States of America.
  • Ciandrini L; IFOM Foundation, FIRC Institute for Molecular Oncology, Milan, Italy.
PLoS Comput Biol ; 18(5): e1010059, 2022 05.
Article in En | MEDLINE | ID: mdl-35500024
ABSTRACT
Growing cells adopt common basic strategies to achieve optimal resource allocation under limited resource availability. Our current understanding of such "growth laws" neglects degradation, assuming that it occurs slowly compared to the cell cycle duration. Here we argue that this assumption cannot hold at slow growth, leading to important consequences. We propose a simple framework showing that at slow growth protein degradation is balanced by a fraction of "maintenance" ribosomes. Consequently, active ribosomes do not drop to zero at vanishing growth, but as growth rate diminishes, an increasing fraction of active ribosomes performs maintenance. Through a detailed analysis of compiled data, we show that the predictions of this model agree with data from E. coli and S. cerevisiae. Intriguingly, we also find that protein degradation increases at slow growth, which we interpret as a consequence of active waste management and/or recycling. Our results highlight protein turnover as an underrated factor for our understanding of growth laws across kingdoms.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Saccharomyces cerevisiae / Escherichia coli Type of study: Prognostic_studies Language: En Journal: PLoS Comput Biol Journal subject: BIOLOGIA / INFORMATICA MEDICA Year: 2022 Document type: Article Affiliation country: Italy Publication country: EEUU / ESTADOS UNIDOS / ESTADOS UNIDOS DA AMERICA / EUA / UNITED STATES / UNITED STATES OF AMERICA / US / USA

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Saccharomyces cerevisiae / Escherichia coli Type of study: Prognostic_studies Language: En Journal: PLoS Comput Biol Journal subject: BIOLOGIA / INFORMATICA MEDICA Year: 2022 Document type: Article Affiliation country: Italy Publication country: EEUU / ESTADOS UNIDOS / ESTADOS UNIDOS DA AMERICA / EUA / UNITED STATES / UNITED STATES OF AMERICA / US / USA