Cargando…
Optimization of ribosome utilization in Saccharomyces cerevisiae
Resource optimization in protein synthesis is often looked at from the perspective of translation efficiency—the rate at which proteins are synthesized from a single transcript. The higher the rate of protein synthesis, the more efficiently a transcript is translated. However, the production of a ri...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10053027/ https://www.ncbi.nlm.nih.gov/pubmed/37007710 http://dx.doi.org/10.1093/pnasnexus/pgad074 |
_version_ | 1785015309592166400 |
---|---|
author | , Mahima Sharma, Ajeet K |
author_facet | , Mahima Sharma, Ajeet K |
author_sort | , Mahima |
collection | PubMed |
description | Resource optimization in protein synthesis is often looked at from the perspective of translation efficiency—the rate at which proteins are synthesized from a single transcript. The higher the rate of protein synthesis, the more efficiently a transcript is translated. However, the production of a ribosome consumes significantly more cellular resources than an mRNA molecule. Therefore, there should be a stronger selection pressure for optimizing ribosome usage than translation efficiency. This paper reports strong evidence of such optimization which becomes more prominent in highly expressed transcripts that consume a significant amount of cellular resources. The ribosome usage is optimized by the biases in codon usage and translation initiation rates. This optimization significantly reduces the ribosome requirement in Saccharomyces cerevisiae. We also find that a low ribosome density on mRNA transcripts helps optimize ribosome utilization. Therefore, protein synthesis occurs in a low ribosome density regime where translation–initiation is the rate-limiting step. Our results suggest that optimizing ribosome usage is one of the major forces shaping evolutionary selection pressure, and thus provide a new perspective to resource optimization in protein synthesis. |
format | Online Article Text |
id | pubmed-10053027 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-100530272023-03-30 Optimization of ribosome utilization in Saccharomyces cerevisiae , Mahima Sharma, Ajeet K PNAS Nexus Physical Sciences and Engineering Resource optimization in protein synthesis is often looked at from the perspective of translation efficiency—the rate at which proteins are synthesized from a single transcript. The higher the rate of protein synthesis, the more efficiently a transcript is translated. However, the production of a ribosome consumes significantly more cellular resources than an mRNA molecule. Therefore, there should be a stronger selection pressure for optimizing ribosome usage than translation efficiency. This paper reports strong evidence of such optimization which becomes more prominent in highly expressed transcripts that consume a significant amount of cellular resources. The ribosome usage is optimized by the biases in codon usage and translation initiation rates. This optimization significantly reduces the ribosome requirement in Saccharomyces cerevisiae. We also find that a low ribosome density on mRNA transcripts helps optimize ribosome utilization. Therefore, protein synthesis occurs in a low ribosome density regime where translation–initiation is the rate-limiting step. Our results suggest that optimizing ribosome usage is one of the major forces shaping evolutionary selection pressure, and thus provide a new perspective to resource optimization in protein synthesis. Oxford University Press 2023-03-09 /pmc/articles/PMC10053027/ /pubmed/37007710 http://dx.doi.org/10.1093/pnasnexus/pgad074 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of National Academy of Sciences. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Physical Sciences and Engineering , Mahima Sharma, Ajeet K Optimization of ribosome utilization in Saccharomyces cerevisiae |
title | Optimization of ribosome utilization in Saccharomyces cerevisiae |
title_full | Optimization of ribosome utilization in Saccharomyces cerevisiae |
title_fullStr | Optimization of ribosome utilization in Saccharomyces cerevisiae |
title_full_unstemmed | Optimization of ribosome utilization in Saccharomyces cerevisiae |
title_short | Optimization of ribosome utilization in Saccharomyces cerevisiae |
title_sort | optimization of ribosome utilization in saccharomyces cerevisiae |
topic | Physical Sciences and Engineering |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10053027/ https://www.ncbi.nlm.nih.gov/pubmed/37007710 http://dx.doi.org/10.1093/pnasnexus/pgad074 |
work_keys_str_mv | AT mahima optimizationofribosomeutilizationinsaccharomycescerevisiae AT sharmaajeetk optimizationofribosomeutilizationinsaccharomycescerevisiae |