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Assembly constraints drive co-evolution among ribosomal constituents
Ribosome biogenesis, a central and essential cellular process, occurs through sequential association and mutual co-folding of protein–RNA constituents in a well-defined assembly pathway. Here, we construct a network of co-evolving nucleotide/amino acid residues within the ribosome and demonstrate th...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4477670/ https://www.ncbi.nlm.nih.gov/pubmed/25956649 http://dx.doi.org/10.1093/nar/gkv448 |
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author | Mallik, Saurav Akashi, Hiroshi Kundu, Sudip |
author_facet | Mallik, Saurav Akashi, Hiroshi Kundu, Sudip |
author_sort | Mallik, Saurav |
collection | PubMed |
description | Ribosome biogenesis, a central and essential cellular process, occurs through sequential association and mutual co-folding of protein–RNA constituents in a well-defined assembly pathway. Here, we construct a network of co-evolving nucleotide/amino acid residues within the ribosome and demonstrate that assembly constraints are strong predictors of co-evolutionary patterns. Predictors of co-evolution include a wide spectrum of structural reconstitution events, such as cooperativity phenomenon, protein-induced rRNA reconstitutions, molecular packing of different rRNA domains, protein–rRNA recognition, etc. A correlation between folding rate of small globular proteins and their topological features is known. We have introduced an analogous topological characteristic for co-evolutionary network of ribosome, which allows us to differentiate between rRNA regions subjected to rapid reconstitutions from those hindered by kinetic traps. Furthermore, co-evolutionary patterns provide a biological basis for deleterious mutation sites and further allow prediction of potential antibiotic targeting sites. Understanding assembly pathways of multicomponent macromolecules remains a key challenge in biophysics. Our study provides a ‘proof of concept’ that directly relates co-evolution to biophysical interactions during multicomponent assembly and suggests predictive power to identify candidates for critical functional interactions as well as for assembly-blocking antibiotic target sites. |
format | Online Article Text |
id | pubmed-4477670 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-44776702015-06-29 Assembly constraints drive co-evolution among ribosomal constituents Mallik, Saurav Akashi, Hiroshi Kundu, Sudip Nucleic Acids Res Computational Biology Ribosome biogenesis, a central and essential cellular process, occurs through sequential association and mutual co-folding of protein–RNA constituents in a well-defined assembly pathway. Here, we construct a network of co-evolving nucleotide/amino acid residues within the ribosome and demonstrate that assembly constraints are strong predictors of co-evolutionary patterns. Predictors of co-evolution include a wide spectrum of structural reconstitution events, such as cooperativity phenomenon, protein-induced rRNA reconstitutions, molecular packing of different rRNA domains, protein–rRNA recognition, etc. A correlation between folding rate of small globular proteins and their topological features is known. We have introduced an analogous topological characteristic for co-evolutionary network of ribosome, which allows us to differentiate between rRNA regions subjected to rapid reconstitutions from those hindered by kinetic traps. Furthermore, co-evolutionary patterns provide a biological basis for deleterious mutation sites and further allow prediction of potential antibiotic targeting sites. Understanding assembly pathways of multicomponent macromolecules remains a key challenge in biophysics. Our study provides a ‘proof of concept’ that directly relates co-evolution to biophysical interactions during multicomponent assembly and suggests predictive power to identify candidates for critical functional interactions as well as for assembly-blocking antibiotic target sites. Oxford University Press 2015-06-23 2015-05-08 /pmc/articles/PMC4477670/ /pubmed/25956649 http://dx.doi.org/10.1093/nar/gkv448 Text en © The Author(s) 2015. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Computational Biology Mallik, Saurav Akashi, Hiroshi Kundu, Sudip Assembly constraints drive co-evolution among ribosomal constituents |
title | Assembly constraints drive co-evolution among ribosomal constituents |
title_full | Assembly constraints drive co-evolution among ribosomal constituents |
title_fullStr | Assembly constraints drive co-evolution among ribosomal constituents |
title_full_unstemmed | Assembly constraints drive co-evolution among ribosomal constituents |
title_short | Assembly constraints drive co-evolution among ribosomal constituents |
title_sort | assembly constraints drive co-evolution among ribosomal constituents |
topic | Computational Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4477670/ https://www.ncbi.nlm.nih.gov/pubmed/25956649 http://dx.doi.org/10.1093/nar/gkv448 |
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