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Protein Variants Form a System of Networks: Microdiversity of IMP Metallo-Beta-Lactamases

Genome and metagenome sequencing projects support the view that only a tiny portion of the total protein microdiversity in the biosphere has been sequenced yet, while the vast majority of existing protein variants is still unknown. By using a network approach, the microdiversity of 42 metallo-β-lact...

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Autores principales: Widmann, Michael, Pleiss, Jürgen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4094381/
https://www.ncbi.nlm.nih.gov/pubmed/25013948
http://dx.doi.org/10.1371/journal.pone.0101813
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author Widmann, Michael
Pleiss, Jürgen
author_facet Widmann, Michael
Pleiss, Jürgen
author_sort Widmann, Michael
collection PubMed
description Genome and metagenome sequencing projects support the view that only a tiny portion of the total protein microdiversity in the biosphere has been sequenced yet, while the vast majority of existing protein variants is still unknown. By using a network approach, the microdiversity of 42 metallo-β-lactamases of the IMP family was investigated. In the networks, the nodes are formed by the variants, while the edges correspond to single mutations between pairs of variants. The 42 variants were assigned to 7 separate networks. By analyzing the networks and their relationships, the structure of sequence space was studied and existing, but still unknown, functional variants were predicted. The largest network consists of 10 variants with IMP-1 in its center and includes two ubiquitous mutations, V67F and S262G. By relating the corresponding pairs of variants, the networks were integrated into a single system of networks. The largest network also included a quartet of variants: IMP-1, two single mutants, and the respective double mutant. The existence of quartets indicates that if two mutations resulted in functional enzymes, the double mutant may also be active and stable. Therefore, quartet construction from triplets was applied to predict 15 functional variants. Further functional mutants were predicted by applying the two ubiquitous mutations in all networks. In addition, since the networks are separated from each other by 10–15 mutations on average, it is expected that a subset of the theoretical intermediates are functional, and therefore are supposed to exist in the biosphere. Finally, the network analysis helps to distinguish between epistatic and additive effects of mutations; while the presence of correlated mutations indicates a strong interdependency between the respective positions, the mutations V67F and S262G are ubiquitous and therefore background independent.
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spelling pubmed-40943812014-07-15 Protein Variants Form a System of Networks: Microdiversity of IMP Metallo-Beta-Lactamases Widmann, Michael Pleiss, Jürgen PLoS One Research Article Genome and metagenome sequencing projects support the view that only a tiny portion of the total protein microdiversity in the biosphere has been sequenced yet, while the vast majority of existing protein variants is still unknown. By using a network approach, the microdiversity of 42 metallo-β-lactamases of the IMP family was investigated. In the networks, the nodes are formed by the variants, while the edges correspond to single mutations between pairs of variants. The 42 variants were assigned to 7 separate networks. By analyzing the networks and their relationships, the structure of sequence space was studied and existing, but still unknown, functional variants were predicted. The largest network consists of 10 variants with IMP-1 in its center and includes two ubiquitous mutations, V67F and S262G. By relating the corresponding pairs of variants, the networks were integrated into a single system of networks. The largest network also included a quartet of variants: IMP-1, two single mutants, and the respective double mutant. The existence of quartets indicates that if two mutations resulted in functional enzymes, the double mutant may also be active and stable. Therefore, quartet construction from triplets was applied to predict 15 functional variants. Further functional mutants were predicted by applying the two ubiquitous mutations in all networks. In addition, since the networks are separated from each other by 10–15 mutations on average, it is expected that a subset of the theoretical intermediates are functional, and therefore are supposed to exist in the biosphere. Finally, the network analysis helps to distinguish between epistatic and additive effects of mutations; while the presence of correlated mutations indicates a strong interdependency between the respective positions, the mutations V67F and S262G are ubiquitous and therefore background independent. Public Library of Science 2014-07-11 /pmc/articles/PMC4094381/ /pubmed/25013948 http://dx.doi.org/10.1371/journal.pone.0101813 Text en © 2014 Widmann, Pleiss http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Widmann, Michael
Pleiss, Jürgen
Protein Variants Form a System of Networks: Microdiversity of IMP Metallo-Beta-Lactamases
title Protein Variants Form a System of Networks: Microdiversity of IMP Metallo-Beta-Lactamases
title_full Protein Variants Form a System of Networks: Microdiversity of IMP Metallo-Beta-Lactamases
title_fullStr Protein Variants Form a System of Networks: Microdiversity of IMP Metallo-Beta-Lactamases
title_full_unstemmed Protein Variants Form a System of Networks: Microdiversity of IMP Metallo-Beta-Lactamases
title_short Protein Variants Form a System of Networks: Microdiversity of IMP Metallo-Beta-Lactamases
title_sort protein variants form a system of networks: microdiversity of imp metallo-beta-lactamases
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4094381/
https://www.ncbi.nlm.nih.gov/pubmed/25013948
http://dx.doi.org/10.1371/journal.pone.0101813
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