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Physicochemical classification of organisms
The hypervariable residues that compose the major part of proteins’ surfaces are generally considered outside evolutionary control. Yet, these “nonconserved” residues determine the outcome of stochastic encounters in crowded cells. It has recently become apparent that these encounters are not as ran...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9171632/ https://www.ncbi.nlm.nih.gov/pubmed/35500111 http://dx.doi.org/10.1073/pnas.2122957119 |
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author | Vallina Estrada, Eloy Oliveberg, Mikael |
author_facet | Vallina Estrada, Eloy Oliveberg, Mikael |
author_sort | Vallina Estrada, Eloy |
collection | PubMed |
description | The hypervariable residues that compose the major part of proteins’ surfaces are generally considered outside evolutionary control. Yet, these “nonconserved” residues determine the outcome of stochastic encounters in crowded cells. It has recently become apparent that these encounters are not as random as one might imagine, but carefully orchestrated by the intracellular electrostatics to optimize protein diffusion, interactivity, and partner search. The most influential factor here is the protein surface-charge density, which takes different optimal values across organisms with different intracellular conditions. In this study, we examine how far the net-charge density and other physicochemical properties of proteomes will take us in terms of distinguishing organisms in general. The results show that these global proteome properties not only follow the established taxonomical hierarchy, but also provide clues to functional adaptation. In many cases, the proteome–property divergence is even resolved at species level. Accordingly, the variable parts of the genes are not as free to drift as they seem in sequence alignment, but present a complementary tool for functional, taxonomic, and evolutionary assignment. |
format | Online Article Text |
id | pubmed-9171632 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | National Academy of Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-91716322022-06-08 Physicochemical classification of organisms Vallina Estrada, Eloy Oliveberg, Mikael Proc Natl Acad Sci U S A Biological Sciences The hypervariable residues that compose the major part of proteins’ surfaces are generally considered outside evolutionary control. Yet, these “nonconserved” residues determine the outcome of stochastic encounters in crowded cells. It has recently become apparent that these encounters are not as random as one might imagine, but carefully orchestrated by the intracellular electrostatics to optimize protein diffusion, interactivity, and partner search. The most influential factor here is the protein surface-charge density, which takes different optimal values across organisms with different intracellular conditions. In this study, we examine how far the net-charge density and other physicochemical properties of proteomes will take us in terms of distinguishing organisms in general. The results show that these global proteome properties not only follow the established taxonomical hierarchy, but also provide clues to functional adaptation. In many cases, the proteome–property divergence is even resolved at species level. Accordingly, the variable parts of the genes are not as free to drift as they seem in sequence alignment, but present a complementary tool for functional, taxonomic, and evolutionary assignment. National Academy of Sciences 2022-05-02 2022-05-10 /pmc/articles/PMC9171632/ /pubmed/35500111 http://dx.doi.org/10.1073/pnas.2122957119 Text en Copyright © 2022 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Biological Sciences Vallina Estrada, Eloy Oliveberg, Mikael Physicochemical classification of organisms |
title | Physicochemical classification of organisms |
title_full | Physicochemical classification of organisms |
title_fullStr | Physicochemical classification of organisms |
title_full_unstemmed | Physicochemical classification of organisms |
title_short | Physicochemical classification of organisms |
title_sort | physicochemical classification of organisms |
topic | Biological Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9171632/ https://www.ncbi.nlm.nih.gov/pubmed/35500111 http://dx.doi.org/10.1073/pnas.2122957119 |
work_keys_str_mv | AT vallinaestradaeloy physicochemicalclassificationoforganisms AT olivebergmikael physicochemicalclassificationoforganisms |