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Evolutionary and Functional Relationships in the Truncated Hemoglobin Family
Predicting function from sequence is an important goal in current biological research, and although, broad functional assignment is possible when a protein is assigned to a family, predicting functional specificity with accuracy is not straightforward. If function is provided by key structural prope...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4720485/ https://www.ncbi.nlm.nih.gov/pubmed/26788940 http://dx.doi.org/10.1371/journal.pcbi.1004701 |
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author | Bustamante, Juan P. Radusky, Leandro Boechi, Leonardo Estrin, Darío A. ten Have, Arjen Martí, Marcelo A. |
author_facet | Bustamante, Juan P. Radusky, Leandro Boechi, Leonardo Estrin, Darío A. ten Have, Arjen Martí, Marcelo A. |
author_sort | Bustamante, Juan P. |
collection | PubMed |
description | Predicting function from sequence is an important goal in current biological research, and although, broad functional assignment is possible when a protein is assigned to a family, predicting functional specificity with accuracy is not straightforward. If function is provided by key structural properties and the relevant properties can be computed using the sequence as the starting point, it should in principle be possible to predict function in detail. The truncated hemoglobin family presents an interesting benchmark study due to their ubiquity, sequence diversity in the context of a conserved fold and the number of characterized members. Their functions are tightly related to O(2) affinity and reactivity, as determined by the association and dissociation rate constants, both of which can be predicted and analyzed using in-silico based tools. In the present work we have applied a strategy, which combines homology modeling with molecular based energy calculations, to predict and analyze function of all known truncated hemoglobins in an evolutionary context. Our results show that truncated hemoglobins present conserved family features, but that its structure is flexible enough to allow the switch from high to low affinity in a few evolutionary steps. Most proteins display moderate to high oxygen affinities and multiple ligand migration paths, which, besides some minor trends, show heterogeneous distributions throughout the phylogenetic tree, again suggesting fast functional adaptation. Our data not only deepens our comprehension of the structural basis governing ligand affinity, but they also highlight some interesting functional evolutionary trends. |
format | Online Article Text |
id | pubmed-4720485 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-47204852016-01-30 Evolutionary and Functional Relationships in the Truncated Hemoglobin Family Bustamante, Juan P. Radusky, Leandro Boechi, Leonardo Estrin, Darío A. ten Have, Arjen Martí, Marcelo A. PLoS Comput Biol Research Article Predicting function from sequence is an important goal in current biological research, and although, broad functional assignment is possible when a protein is assigned to a family, predicting functional specificity with accuracy is not straightforward. If function is provided by key structural properties and the relevant properties can be computed using the sequence as the starting point, it should in principle be possible to predict function in detail. The truncated hemoglobin family presents an interesting benchmark study due to their ubiquity, sequence diversity in the context of a conserved fold and the number of characterized members. Their functions are tightly related to O(2) affinity and reactivity, as determined by the association and dissociation rate constants, both of which can be predicted and analyzed using in-silico based tools. In the present work we have applied a strategy, which combines homology modeling with molecular based energy calculations, to predict and analyze function of all known truncated hemoglobins in an evolutionary context. Our results show that truncated hemoglobins present conserved family features, but that its structure is flexible enough to allow the switch from high to low affinity in a few evolutionary steps. Most proteins display moderate to high oxygen affinities and multiple ligand migration paths, which, besides some minor trends, show heterogeneous distributions throughout the phylogenetic tree, again suggesting fast functional adaptation. Our data not only deepens our comprehension of the structural basis governing ligand affinity, but they also highlight some interesting functional evolutionary trends. Public Library of Science 2016-01-20 /pmc/articles/PMC4720485/ /pubmed/26788940 http://dx.doi.org/10.1371/journal.pcbi.1004701 Text en © 2016 Bustamante et al 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 Bustamante, Juan P. Radusky, Leandro Boechi, Leonardo Estrin, Darío A. ten Have, Arjen Martí, Marcelo A. Evolutionary and Functional Relationships in the Truncated Hemoglobin Family |
title | Evolutionary and Functional Relationships in the Truncated Hemoglobin Family |
title_full | Evolutionary and Functional Relationships in the Truncated Hemoglobin Family |
title_fullStr | Evolutionary and Functional Relationships in the Truncated Hemoglobin Family |
title_full_unstemmed | Evolutionary and Functional Relationships in the Truncated Hemoglobin Family |
title_short | Evolutionary and Functional Relationships in the Truncated Hemoglobin Family |
title_sort | evolutionary and functional relationships in the truncated hemoglobin family |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4720485/ https://www.ncbi.nlm.nih.gov/pubmed/26788940 http://dx.doi.org/10.1371/journal.pcbi.1004701 |
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