Distribution and evolution of stable single α-helices (SAH domains) in myosin motor proteins.

Stable single-alpha helices (SAHs) are versatile structural elements in many prokaryotic and eukaryotic proteins acting as semi-flexible linkers and constant force springs. This way SAH-domains function as part of the lever of many different myosins. Canonical myosin levers consist of one or several...

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Main Authors: Dominic Simm, Klas Hatje, Martin Kollmar
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2017-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC5378345?pdf=render
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spelling doaj-4f6310f7e05040dbbe34da4e032b21882020-11-24T22:18:06ZengPublic Library of Science (PLoS)PLoS ONE1932-62032017-01-01124e017463910.1371/journal.pone.0174639Distribution and evolution of stable single α-helices (SAH domains) in myosin motor proteins.Dominic SimmKlas HatjeMartin KollmarStable single-alpha helices (SAHs) are versatile structural elements in many prokaryotic and eukaryotic proteins acting as semi-flexible linkers and constant force springs. This way SAH-domains function as part of the lever of many different myosins. Canonical myosin levers consist of one or several IQ-motifs to which light chains such as calmodulin bind. SAH-domains provide flexibility in length and stiffness to the myosin levers, and may be particularly suited for myosins working in crowded cellular environments. Although the function of the SAH-domains in human class-6 and class-10 myosins has well been characterised, the distribution of the SAH-domain in all myosin subfamilies and across the eukaryotic tree of life remained elusive. Here, we analysed the largest available myosin sequence dataset consisting of 7919 manually annotated myosin sequences from 938 species representing all major eukaryotic branches using the SAH-prediction algorithm of Waggawagga, a recently developed tool for the identification of SAH-domains. With this approach we identified SAH-domains in more than one third of the supposed 79 myosin subfamilies. Depending on the myosin class, the presence of SAH-domains can range from a few to almost all class members indicating complex patterns of independent and taxon-specific SAH-domain gain and loss.http://europepmc.org/articles/PMC5378345?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Dominic Simm
Klas Hatje
Martin Kollmar
spellingShingle Dominic Simm
Klas Hatje
Martin Kollmar
Distribution and evolution of stable single α-helices (SAH domains) in myosin motor proteins.
PLoS ONE
author_facet Dominic Simm
Klas Hatje
Martin Kollmar
author_sort Dominic Simm
title Distribution and evolution of stable single α-helices (SAH domains) in myosin motor proteins.
title_short Distribution and evolution of stable single α-helices (SAH domains) in myosin motor proteins.
title_full Distribution and evolution of stable single α-helices (SAH domains) in myosin motor proteins.
title_fullStr Distribution and evolution of stable single α-helices (SAH domains) in myosin motor proteins.
title_full_unstemmed Distribution and evolution of stable single α-helices (SAH domains) in myosin motor proteins.
title_sort distribution and evolution of stable single α-helices (sah domains) in myosin motor proteins.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2017-01-01
description Stable single-alpha helices (SAHs) are versatile structural elements in many prokaryotic and eukaryotic proteins acting as semi-flexible linkers and constant force springs. This way SAH-domains function as part of the lever of many different myosins. Canonical myosin levers consist of one or several IQ-motifs to which light chains such as calmodulin bind. SAH-domains provide flexibility in length and stiffness to the myosin levers, and may be particularly suited for myosins working in crowded cellular environments. Although the function of the SAH-domains in human class-6 and class-10 myosins has well been characterised, the distribution of the SAH-domain in all myosin subfamilies and across the eukaryotic tree of life remained elusive. Here, we analysed the largest available myosin sequence dataset consisting of 7919 manually annotated myosin sequences from 938 species representing all major eukaryotic branches using the SAH-prediction algorithm of Waggawagga, a recently developed tool for the identification of SAH-domains. With this approach we identified SAH-domains in more than one third of the supposed 79 myosin subfamilies. Depending on the myosin class, the presence of SAH-domains can range from a few to almost all class members indicating complex patterns of independent and taxon-specific SAH-domain gain and loss.
url http://europepmc.org/articles/PMC5378345?pdf=render
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