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Experimental and In Silico Analysis of TEM β-Lactamase Adaptive Evolution
[Image: see text] Multiple mutations often have non-additive (epistatic) phenotypic effects. Epistasis is of fundamental biological relevance but is not well understood mechanistically. Adaptive evolution, i.e., the evolution of new biochemical activities, is rich in epistatic interactions. To bette...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9745794/ https://www.ncbi.nlm.nih.gov/pubmed/36377311 http://dx.doi.org/10.1021/acsinfecdis.2c00216 |
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author | Standley, Melissa Blay, Vincent Beleva Guthrie, Violeta Kim, Jay Lyman, Audrey Moya, Andrés Karchin, Rachel Camps, Manel |
author_facet | Standley, Melissa Blay, Vincent Beleva Guthrie, Violeta Kim, Jay Lyman, Audrey Moya, Andrés Karchin, Rachel Camps, Manel |
author_sort | Standley, Melissa |
collection | PubMed |
description | [Image: see text] Multiple mutations often have non-additive (epistatic) phenotypic effects. Epistasis is of fundamental biological relevance but is not well understood mechanistically. Adaptive evolution, i.e., the evolution of new biochemical activities, is rich in epistatic interactions. To better understand the principles underlying epistasis during genetic adaptation, we studied the evolution of TEM-1 β-lactamase variants exhibiting cefotaxime resistance. We report the collection of a library of 487 observed evolutionary trajectories for TEM-1 and determine the epistasis status based on cefotaxime resistance phenotype for 206 combinations of 2–3 TEM-1 mutations involving 17 positions under adaptive selective pressure. Gain-of-function (GOF) mutations are gatekeepers for adaptation. To see if GOF phenotypes can be inferred based solely on sequence data, we calculated the enrichment of GOF mutations in the different categories of epistatic pairs. Our results suggest that this is possible because GOF mutations are particularly enriched in sign and reciprocal sign epistasis, which leave a major imprint on the sequence space accessible to evolution. We also used FoldX to explore the relationship between thermodynamic stability and epistasis. We found that mutations in observed evolutionary trajectories tend to destabilize the folded structure of the protein, albeit their cumulative effects are consistently below the protein’s free energy of folding. The destabilizing effect is stronger for epistatic pairs, suggesting that modest or local alterations in folding stability can modulate catalysis. Finally, we report a significant relationship between epistasis and the degree to which two protein positions are structurally and dynamically coupled, even in the absence of ligand. |
format | Online Article Text |
id | pubmed-9745794 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-97457942022-12-14 Experimental and In Silico Analysis of TEM β-Lactamase Adaptive Evolution Standley, Melissa Blay, Vincent Beleva Guthrie, Violeta Kim, Jay Lyman, Audrey Moya, Andrés Karchin, Rachel Camps, Manel ACS Infect Dis [Image: see text] Multiple mutations often have non-additive (epistatic) phenotypic effects. Epistasis is of fundamental biological relevance but is not well understood mechanistically. Adaptive evolution, i.e., the evolution of new biochemical activities, is rich in epistatic interactions. To better understand the principles underlying epistasis during genetic adaptation, we studied the evolution of TEM-1 β-lactamase variants exhibiting cefotaxime resistance. We report the collection of a library of 487 observed evolutionary trajectories for TEM-1 and determine the epistasis status based on cefotaxime resistance phenotype for 206 combinations of 2–3 TEM-1 mutations involving 17 positions under adaptive selective pressure. Gain-of-function (GOF) mutations are gatekeepers for adaptation. To see if GOF phenotypes can be inferred based solely on sequence data, we calculated the enrichment of GOF mutations in the different categories of epistatic pairs. Our results suggest that this is possible because GOF mutations are particularly enriched in sign and reciprocal sign epistasis, which leave a major imprint on the sequence space accessible to evolution. We also used FoldX to explore the relationship between thermodynamic stability and epistasis. We found that mutations in observed evolutionary trajectories tend to destabilize the folded structure of the protein, albeit their cumulative effects are consistently below the protein’s free energy of folding. The destabilizing effect is stronger for epistatic pairs, suggesting that modest or local alterations in folding stability can modulate catalysis. Finally, we report a significant relationship between epistasis and the degree to which two protein positions are structurally and dynamically coupled, even in the absence of ligand. American Chemical Society 2022-11-15 2022-12-09 /pmc/articles/PMC9745794/ /pubmed/36377311 http://dx.doi.org/10.1021/acsinfecdis.2c00216 Text en © 2022 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Standley, Melissa Blay, Vincent Beleva Guthrie, Violeta Kim, Jay Lyman, Audrey Moya, Andrés Karchin, Rachel Camps, Manel Experimental and In Silico Analysis of TEM β-Lactamase Adaptive Evolution |
title | Experimental and In Silico Analysis
of TEM β-Lactamase Adaptive Evolution |
title_full | Experimental and In Silico Analysis
of TEM β-Lactamase Adaptive Evolution |
title_fullStr | Experimental and In Silico Analysis
of TEM β-Lactamase Adaptive Evolution |
title_full_unstemmed | Experimental and In Silico Analysis
of TEM β-Lactamase Adaptive Evolution |
title_short | Experimental and In Silico Analysis
of TEM β-Lactamase Adaptive Evolution |
title_sort | experimental and in silico analysis
of tem β-lactamase adaptive evolution |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9745794/ https://www.ncbi.nlm.nih.gov/pubmed/36377311 http://dx.doi.org/10.1021/acsinfecdis.2c00216 |
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