PolyQ length co-evolution in neural proteins

4Citations
Citations of this article
8Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

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.

References Powered by Scopus

MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets

37471Citations
N/AReaders
Get full text

Cytoscape: A software Environment for integrated models of biomolecular interaction networks

35342Citations
N/AReaders
Get full text

Fast, scalable generation of high-quality protein multiple sequence alignments using Clustal Omega

11347Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Structure–function relationships in protein homorepeats

5Citations
N/AReaders
Get full text

The structural plasticity of polyglutamine repeats

4Citations
N/AReaders
Get full text

Heptad stereotypy, S/Q layering, and remote origin of the SARS-CoV-2 fusion core

2Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Vaglietti, S., & Fiumara, F. (2021). PolyQ length co-evolution in neural proteins. NAR Genomics and Bioinformatics, 3(2). https://doi.org/10.1093/nargab/lqab032

Readers over time

‘21‘22‘23‘2401234

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 2

50%

Researcher 2

50%

Readers' Discipline

Tooltip

Agricultural and Biological Sciences 2

50%

Biochemistry, Genetics and Molecular Bi... 1

25%

Neuroscience 1

25%

Save time finding and organizing research with Mendeley

Sign up for free
0