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The genotype‐phenotype landscape of an allosteric protein
Allostery is a fundamental biophysical mechanism that underlies cellular sensing, signaling, and metabolism. Yet a quantitative understanding of allosteric genotype‐phenotype relationships remains elusive. Here, we report the large‐scale measurement of the genotype‐phenotype landscape for an alloste...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8009258/ https://www.ncbi.nlm.nih.gov/pubmed/33784029 http://dx.doi.org/10.15252/msb.202010179 |
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author | Tack, Drew S Tonner, Peter D Pressman, Abe Olson, Nathan D Levy, Sasha F Romantseva, Eugenia F Alperovich, Nina Vasilyeva, Olga Ross, David |
author_facet | Tack, Drew S Tonner, Peter D Pressman, Abe Olson, Nathan D Levy, Sasha F Romantseva, Eugenia F Alperovich, Nina Vasilyeva, Olga Ross, David |
author_sort | Tack, Drew S |
collection | PubMed |
description | Allostery is a fundamental biophysical mechanism that underlies cellular sensing, signaling, and metabolism. Yet a quantitative understanding of allosteric genotype‐phenotype relationships remains elusive. Here, we report the large‐scale measurement of the genotype‐phenotype landscape for an allosteric protein: the lac repressor from Escherichia coli, LacI. Using a method that combines long‐read and short‐read DNA sequencing, we quantitatively measure the dose‐response curves for nearly 10(5) variants of the LacI genetic sensor. The resulting data provide a quantitative map of the effect of amino acid substitutions on LacI allostery and reveal systematic sequence‐structure‐function relationships. We find that in many cases, allosteric phenotypes can be quantitatively predicted with additive or neural‐network models, but unpredictable changes also occur. For example, we were surprised to discover a new band‐stop phenotype that challenges conventional models of allostery and that emerges from combinations of nearly silent amino acid substitutions. |
format | Online Article Text |
id | pubmed-8009258 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-80092582021-04-01 The genotype‐phenotype landscape of an allosteric protein Tack, Drew S Tonner, Peter D Pressman, Abe Olson, Nathan D Levy, Sasha F Romantseva, Eugenia F Alperovich, Nina Vasilyeva, Olga Ross, David Mol Syst Biol Articles Allostery is a fundamental biophysical mechanism that underlies cellular sensing, signaling, and metabolism. Yet a quantitative understanding of allosteric genotype‐phenotype relationships remains elusive. Here, we report the large‐scale measurement of the genotype‐phenotype landscape for an allosteric protein: the lac repressor from Escherichia coli, LacI. Using a method that combines long‐read and short‐read DNA sequencing, we quantitatively measure the dose‐response curves for nearly 10(5) variants of the LacI genetic sensor. The resulting data provide a quantitative map of the effect of amino acid substitutions on LacI allostery and reveal systematic sequence‐structure‐function relationships. We find that in many cases, allosteric phenotypes can be quantitatively predicted with additive or neural‐network models, but unpredictable changes also occur. For example, we were surprised to discover a new band‐stop phenotype that challenges conventional models of allostery and that emerges from combinations of nearly silent amino acid substitutions. John Wiley and Sons Inc. 2021-03-30 /pmc/articles/PMC8009258/ /pubmed/33784029 http://dx.doi.org/10.15252/msb.202010179 Text en © 2021 The Authors. Published under the terms of the CC BY 4.0 license This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Articles Tack, Drew S Tonner, Peter D Pressman, Abe Olson, Nathan D Levy, Sasha F Romantseva, Eugenia F Alperovich, Nina Vasilyeva, Olga Ross, David The genotype‐phenotype landscape of an allosteric protein |
title | The genotype‐phenotype landscape of an allosteric protein |
title_full | The genotype‐phenotype landscape of an allosteric protein |
title_fullStr | The genotype‐phenotype landscape of an allosteric protein |
title_full_unstemmed | The genotype‐phenotype landscape of an allosteric protein |
title_short | The genotype‐phenotype landscape of an allosteric protein |
title_sort | genotype‐phenotype landscape of an allosteric protein |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8009258/ https://www.ncbi.nlm.nih.gov/pubmed/33784029 http://dx.doi.org/10.15252/msb.202010179 |
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