Proteome-wide signatures of function in highly diverged intrinsically disordered regions

Intrinsically disordered regions make up a large part of the proteome, but the sequence-to-function relationship in these regions is poorly understood, in part because the primary amino acid sequences of these regions are poorly conserved in alignments. Here we use an evolutionary approach to detect...

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Main Authors: Taraneh Zarin, Bob Strome, Alex N Nguyen Ba, Simon Alberti, Julie D Forman-Kay, Alan M Moses
Format: Article
Language:English
Published: eLife Sciences Publications Ltd 2019-07-01
Series:eLife
Subjects:
Online Access:https://elifesciences.org/articles/46883
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author Taraneh Zarin
Bob Strome
Alex N Nguyen Ba
Simon Alberti
Julie D Forman-Kay
Alan M Moses
author_facet Taraneh Zarin
Bob Strome
Alex N Nguyen Ba
Simon Alberti
Julie D Forman-Kay
Alan M Moses
author_sort Taraneh Zarin
collection DOAJ
description Intrinsically disordered regions make up a large part of the proteome, but the sequence-to-function relationship in these regions is poorly understood, in part because the primary amino acid sequences of these regions are poorly conserved in alignments. Here we use an evolutionary approach to detect molecular features that are preserved in the amino acid sequences of orthologous intrinsically disordered regions. We find that most disordered regions contain multiple molecular features that are preserved, and we define these as ‘evolutionary signatures’ of disordered regions. We demonstrate that intrinsically disordered regions with similar evolutionary signatures can rescue function in vivo, and that groups of intrinsically disordered regions with similar evolutionary signatures are strongly enriched for functional annotations and phenotypes. We propose that evolutionary signatures can be used to predict function for many disordered regions from their amino acid sequences.
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spelling doaj.art-1ef704afc0bf411db20f5fbcef6b58fb2022-12-22T03:52:10ZengeLife Sciences Publications LtdeLife2050-084X2019-07-01810.7554/eLife.46883Proteome-wide signatures of function in highly diverged intrinsically disordered regionsTaraneh Zarin0https://orcid.org/0000-0003-1253-3843Bob Strome1Alex N Nguyen Ba2Simon Alberti3https://orcid.org/0000-0003-4017-6505Julie D Forman-Kay4https://orcid.org/0000-0001-8265-972XAlan M Moses5https://orcid.org/0000-0003-3118-3121Department of Cell and Systems Biology, University of Toronto, Toronto, CanadaDepartment of Cell and Systems Biology, University of Toronto, Toronto, CanadaDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge, United StatesMax Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany; Center for Molecular and Cellular Bioengineering, Biotechnology Center, Technische Universität Dresden, Dresden, GermanyProgram in Molecular Medicine, Hospital for Sick Children, Toronto, Canada; Department of Biochemistry, University of Toronto, Toronto, CanadaDepartment of Cell and Systems Biology, University of Toronto, Toronto, Canada; Department of Ecology and Evolutionary Biology, University of Toronto, Toronto, Canada; Department of Computer Science, University of Toronto, Toronto, CanadaIntrinsically disordered regions make up a large part of the proteome, but the sequence-to-function relationship in these regions is poorly understood, in part because the primary amino acid sequences of these regions are poorly conserved in alignments. Here we use an evolutionary approach to detect molecular features that are preserved in the amino acid sequences of orthologous intrinsically disordered regions. We find that most disordered regions contain multiple molecular features that are preserved, and we define these as ‘evolutionary signatures’ of disordered regions. We demonstrate that intrinsically disordered regions with similar evolutionary signatures can rescue function in vivo, and that groups of intrinsically disordered regions with similar evolutionary signatures are strongly enriched for functional annotations and phenotypes. We propose that evolutionary signatures can be used to predict function for many disordered regions from their amino acid sequences.https://elifesciences.org/articles/46883evolutionpurifying selectionclusteringmitochondial targeting signalsunstructured proteinmolecular features
spellingShingle Taraneh Zarin
Bob Strome
Alex N Nguyen Ba
Simon Alberti
Julie D Forman-Kay
Alan M Moses
Proteome-wide signatures of function in highly diverged intrinsically disordered regions
eLife
evolution
purifying selection
clustering
mitochondial targeting signals
unstructured protein
molecular features
title Proteome-wide signatures of function in highly diverged intrinsically disordered regions
title_full Proteome-wide signatures of function in highly diverged intrinsically disordered regions
title_fullStr Proteome-wide signatures of function in highly diverged intrinsically disordered regions
title_full_unstemmed Proteome-wide signatures of function in highly diverged intrinsically disordered regions
title_short Proteome-wide signatures of function in highly diverged intrinsically disordered regions
title_sort proteome wide signatures of function in highly diverged intrinsically disordered regions
topic evolution
purifying selection
clustering
mitochondial targeting signals
unstructured protein
molecular features
url https://elifesciences.org/articles/46883
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