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The Combined Effects of Amino Acid Substitutions and Indels on the Evolution of Structure within Protein Families

BACKGROUND: In the process of protein evolution, sequence variations within protein families can cause changes in protein structures and functions. However, structures tend to be more conserved than sequences and functions. This leads to an intriguing question: what is the evolutionary mechanism by...

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Autores principales: Zhang, Zheng, Wang, Yuxiao, Wang, Lushan, Gao, Peiji
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3001449/
https://www.ncbi.nlm.nih.gov/pubmed/21179197
http://dx.doi.org/10.1371/journal.pone.0014316
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author Zhang, Zheng
Wang, Yuxiao
Wang, Lushan
Gao, Peiji
author_facet Zhang, Zheng
Wang, Yuxiao
Wang, Lushan
Gao, Peiji
author_sort Zhang, Zheng
collection PubMed
description BACKGROUND: In the process of protein evolution, sequence variations within protein families can cause changes in protein structures and functions. However, structures tend to be more conserved than sequences and functions. This leads to an intriguing question: what is the evolutionary mechanism by which sequence variations produce structural changes? To investigate this question, we focused on the most common types of sequence variations: amino acid substitutions and insertions/deletions (indels). Here their combined effects on protein structure evolution within protein families are studied. RESULTS: Sequence-structure correlation analysis on 75 homologous structure families (from SCOP) that contain 20 or more non-redundant structures shows that in most of these families there is, statistically, a bilinear correlation between the amount of substitutions and indels versus the degree of structure variations. Bilinear regression of percent sequence non-identity (PNI) and standardized number of gaps (SNG) versus RMSD was performed. The coefficients from the regression analysis could be used to estimate the structure changes caused by each unit of substitution (structural substitution sensitivity, SSS) and by each unit of indel (structural indel sensitivity, SIDS). An analysis on 52 families with high bilinear fitting multiple correlation coefficients and statistically significant regression coefficients showed that SSS is mainly constrained by disulfide bonds, which almost have no effects on SIDS. CONCLUSIONS: Structural changes in homologous protein families could be rationally explained by a bilinear model combining amino acid substitutions and indels. These results may further improve our understanding of the evolutionary mechanisms of protein structures.
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spelling pubmed-30014492010-12-21 The Combined Effects of Amino Acid Substitutions and Indels on the Evolution of Structure within Protein Families Zhang, Zheng Wang, Yuxiao Wang, Lushan Gao, Peiji PLoS One Research Article BACKGROUND: In the process of protein evolution, sequence variations within protein families can cause changes in protein structures and functions. However, structures tend to be more conserved than sequences and functions. This leads to an intriguing question: what is the evolutionary mechanism by which sequence variations produce structural changes? To investigate this question, we focused on the most common types of sequence variations: amino acid substitutions and insertions/deletions (indels). Here their combined effects on protein structure evolution within protein families are studied. RESULTS: Sequence-structure correlation analysis on 75 homologous structure families (from SCOP) that contain 20 or more non-redundant structures shows that in most of these families there is, statistically, a bilinear correlation between the amount of substitutions and indels versus the degree of structure variations. Bilinear regression of percent sequence non-identity (PNI) and standardized number of gaps (SNG) versus RMSD was performed. The coefficients from the regression analysis could be used to estimate the structure changes caused by each unit of substitution (structural substitution sensitivity, SSS) and by each unit of indel (structural indel sensitivity, SIDS). An analysis on 52 families with high bilinear fitting multiple correlation coefficients and statistically significant regression coefficients showed that SSS is mainly constrained by disulfide bonds, which almost have no effects on SIDS. CONCLUSIONS: Structural changes in homologous protein families could be rationally explained by a bilinear model combining amino acid substitutions and indels. These results may further improve our understanding of the evolutionary mechanisms of protein structures. Public Library of Science 2010-12-13 /pmc/articles/PMC3001449/ /pubmed/21179197 http://dx.doi.org/10.1371/journal.pone.0014316 Text en Zhang 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
Zhang, Zheng
Wang, Yuxiao
Wang, Lushan
Gao, Peiji
The Combined Effects of Amino Acid Substitutions and Indels on the Evolution of Structure within Protein Families
title The Combined Effects of Amino Acid Substitutions and Indels on the Evolution of Structure within Protein Families
title_full The Combined Effects of Amino Acid Substitutions and Indels on the Evolution of Structure within Protein Families
title_fullStr The Combined Effects of Amino Acid Substitutions and Indels on the Evolution of Structure within Protein Families
title_full_unstemmed The Combined Effects of Amino Acid Substitutions and Indels on the Evolution of Structure within Protein Families
title_short The Combined Effects of Amino Acid Substitutions and Indels on the Evolution of Structure within Protein Families
title_sort combined effects of amino acid substitutions and indels on the evolution of structure within protein families
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3001449/
https://www.ncbi.nlm.nih.gov/pubmed/21179197
http://dx.doi.org/10.1371/journal.pone.0014316
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