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The Robustness of a Signaling Complex to Domain Rearrangements Facilitates Network Evolution
The rearrangement of protein domains is known to have key roles in the evolution of signaling networks and, consequently, is a major tool used to synthetically rewire networks. However, natural mutational events leading to the creation of proteins with novel domain combinations, such as in frame fus...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4260825/ https://www.ncbi.nlm.nih.gov/pubmed/25490747 http://dx.doi.org/10.1371/journal.pbio.1002012 |
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author | Sato, Paloma M. Yoganathan, Kogulan Jung, Jae H. Peisajovich, Sergio G. |
author_facet | Sato, Paloma M. Yoganathan, Kogulan Jung, Jae H. Peisajovich, Sergio G. |
author_sort | Sato, Paloma M. |
collection | PubMed |
description | The rearrangement of protein domains is known to have key roles in the evolution of signaling networks and, consequently, is a major tool used to synthetically rewire networks. However, natural mutational events leading to the creation of proteins with novel domain combinations, such as in frame fusions followed by domain loss, retrotranspositions, or translocations, to name a few, often simultaneously replace pre-existing genes. Thus, while proteins with new domain combinations may establish novel network connections, it is not clear how the concomitant deletions are tolerated. We investigated the mechanisms that enable signaling networks to tolerate domain rearrangement-mediated gene replacements. Using as a model system the yeast mitogen activated protein kinase (MAPK)-mediated mating pathway, we analyzed 92 domain-rearrangement events affecting 11 genes. Our results indicate that, while domain rearrangement events that result in the loss of catalytic activities within the signaling complex are not tolerated, domain rearrangements can drastically alter protein interactions without impairing function. This suggests that signaling complexes can maintain function even when some components are recruited to alternative sites within the complex. Furthermore, we also found that the ability of the complex to tolerate changes in interaction partners does not depend on long disordered linkers that often connect domains. Taken together, our results suggest that some signaling complexes are dynamic ensembles with loose spatial constraints that could be easily re-shaped by evolution and, therefore, are ideal targets for cellular engineering. |
format | Online Article Text |
id | pubmed-4260825 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-42608252014-12-15 The Robustness of a Signaling Complex to Domain Rearrangements Facilitates Network Evolution Sato, Paloma M. Yoganathan, Kogulan Jung, Jae H. Peisajovich, Sergio G. PLoS Biol Research Article The rearrangement of protein domains is known to have key roles in the evolution of signaling networks and, consequently, is a major tool used to synthetically rewire networks. However, natural mutational events leading to the creation of proteins with novel domain combinations, such as in frame fusions followed by domain loss, retrotranspositions, or translocations, to name a few, often simultaneously replace pre-existing genes. Thus, while proteins with new domain combinations may establish novel network connections, it is not clear how the concomitant deletions are tolerated. We investigated the mechanisms that enable signaling networks to tolerate domain rearrangement-mediated gene replacements. Using as a model system the yeast mitogen activated protein kinase (MAPK)-mediated mating pathway, we analyzed 92 domain-rearrangement events affecting 11 genes. Our results indicate that, while domain rearrangement events that result in the loss of catalytic activities within the signaling complex are not tolerated, domain rearrangements can drastically alter protein interactions without impairing function. This suggests that signaling complexes can maintain function even when some components are recruited to alternative sites within the complex. Furthermore, we also found that the ability of the complex to tolerate changes in interaction partners does not depend on long disordered linkers that often connect domains. Taken together, our results suggest that some signaling complexes are dynamic ensembles with loose spatial constraints that could be easily re-shaped by evolution and, therefore, are ideal targets for cellular engineering. Public Library of Science 2014-12-09 /pmc/articles/PMC4260825/ /pubmed/25490747 http://dx.doi.org/10.1371/journal.pbio.1002012 Text en © 2014 Sato 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 Sato, Paloma M. Yoganathan, Kogulan Jung, Jae H. Peisajovich, Sergio G. The Robustness of a Signaling Complex to Domain Rearrangements Facilitates Network Evolution |
title | The Robustness of a Signaling Complex to Domain Rearrangements Facilitates Network Evolution |
title_full | The Robustness of a Signaling Complex to Domain Rearrangements Facilitates Network Evolution |
title_fullStr | The Robustness of a Signaling Complex to Domain Rearrangements Facilitates Network Evolution |
title_full_unstemmed | The Robustness of a Signaling Complex to Domain Rearrangements Facilitates Network Evolution |
title_short | The Robustness of a Signaling Complex to Domain Rearrangements Facilitates Network Evolution |
title_sort | robustness of a signaling complex to domain rearrangements facilitates network evolution |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4260825/ https://www.ncbi.nlm.nih.gov/pubmed/25490747 http://dx.doi.org/10.1371/journal.pbio.1002012 |
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