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PolyQ length co-evolution in neural proteins
Intermolecular co-evolution optimizes physiological performance in functionally related proteins, ultimately increasing molecular co-adaptation and evolutionary fitness. Polyglutamine (polyQ) repeats, which are over-represented in nervous system-related proteins, are increasingly recognized as lengt...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8121095/ https://www.ncbi.nlm.nih.gov/pubmed/34017944 http://dx.doi.org/10.1093/nargab/lqab032 |
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author | Vaglietti, Serena Fiumara, Ferdinando |
author_facet | Vaglietti, Serena Fiumara, Ferdinando |
author_sort | Vaglietti, Serena |
collection | PubMed |
description | Intermolecular co-evolution optimizes physiological performance in functionally related proteins, ultimately increasing molecular co-adaptation and evolutionary fitness. Polyglutamine (polyQ) repeats, which are over-represented in nervous system-related proteins, are increasingly recognized as length-dependent regulators of protein function and interactions, and their length variation contributes to intraspecific phenotypic variability and interspecific divergence. However, it is unclear whether polyQ repeat lengths evolve independently in each protein or rather co-evolve across functionally related protein pairs and networks, as in an integrated regulatory system. To address this issue, we investigated here the length evolution and co-evolution of polyQ repeats in clusters of functionally related and physically interacting neural proteins in Primates. We observed function-/disease-related polyQ repeat enrichment and evolutionary hypervariability in specific neural protein clusters, particularly in the neurocognitive and neuropsychiatric domains. Notably, these analyses detected extensive patterns of intermolecular polyQ length co-evolution in pairs and clusters of functionally related, physically interacting proteins. Moreover, they revealed both direct and inverse polyQ length co-variation in protein pairs, together with complex patterns of coordinated repeat variation in entire polyQ protein sets. These findings uncover a whole system of co-evolving polyQ repeats in neural proteins with direct implications for understanding polyQ-dependent phenotypic variability, neurocognitive evolution and neuropsychiatric disease pathogenesis. |
format | Online Article Text |
id | pubmed-8121095 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-81210952021-05-19 PolyQ length co-evolution in neural proteins Vaglietti, Serena Fiumara, Ferdinando NAR Genom Bioinform Standard Article Intermolecular co-evolution optimizes physiological performance in functionally related proteins, ultimately increasing molecular co-adaptation and evolutionary fitness. Polyglutamine (polyQ) repeats, which are over-represented in nervous system-related proteins, are increasingly recognized as length-dependent regulators of protein function and interactions, and their length variation contributes to intraspecific phenotypic variability and interspecific divergence. However, it is unclear whether polyQ repeat lengths evolve independently in each protein or rather co-evolve across functionally related protein pairs and networks, as in an integrated regulatory system. To address this issue, we investigated here the length evolution and co-evolution of polyQ repeats in clusters of functionally related and physically interacting neural proteins in Primates. We observed function-/disease-related polyQ repeat enrichment and evolutionary hypervariability in specific neural protein clusters, particularly in the neurocognitive and neuropsychiatric domains. Notably, these analyses detected extensive patterns of intermolecular polyQ length co-evolution in pairs and clusters of functionally related, physically interacting proteins. Moreover, they revealed both direct and inverse polyQ length co-variation in protein pairs, together with complex patterns of coordinated repeat variation in entire polyQ protein sets. These findings uncover a whole system of co-evolving polyQ repeats in neural proteins with direct implications for understanding polyQ-dependent phenotypic variability, neurocognitive evolution and neuropsychiatric disease pathogenesis. Oxford University Press 2021-05-14 /pmc/articles/PMC8121095/ /pubmed/34017944 http://dx.doi.org/10.1093/nargab/lqab032 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of NAR Genomics and Bioinformatics. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Standard Article Vaglietti, Serena Fiumara, Ferdinando PolyQ length co-evolution in neural proteins |
title | PolyQ length co-evolution in neural proteins |
title_full | PolyQ length co-evolution in neural proteins |
title_fullStr | PolyQ length co-evolution in neural proteins |
title_full_unstemmed | PolyQ length co-evolution in neural proteins |
title_short | PolyQ length co-evolution in neural proteins |
title_sort | polyq length co-evolution in neural proteins |
topic | Standard Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8121095/ https://www.ncbi.nlm.nih.gov/pubmed/34017944 http://dx.doi.org/10.1093/nargab/lqab032 |
work_keys_str_mv | AT vagliettiserena polyqlengthcoevolutioninneuralproteins AT fiumaraferdinando polyqlengthcoevolutioninneuralproteins |