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Protein Coevolution and Isoexpression in Yeast Macromolecular Complexes

Previous studies in the yeast Saccharomyces cerevisiae have shown that genes encoding subunits of macromolecular complexes have similar evolutionary rates (K) and expression levels (E). Besides, it is known that the expression of a gene is a strong predictor of its rate of evolution (i.e., E and K a...

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Detalles Bibliográficos
Autores principales: Ettwiller, Laurence, Veitia, Reiner A.
Formato: Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1838959/
https://www.ncbi.nlm.nih.gov/pubmed/17538690
http://dx.doi.org/10.1155/2007/58721
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author Ettwiller, Laurence
Veitia, Reiner A.
author_facet Ettwiller, Laurence
Veitia, Reiner A.
author_sort Ettwiller, Laurence
collection PubMed
description Previous studies in the yeast Saccharomyces cerevisiae have shown that genes encoding subunits of macromolecular complexes have similar evolutionary rates (K) and expression levels (E). Besides, it is known that the expression of a gene is a strong predictor of its rate of evolution (i.e., E and K are correlated). Here we show that intracomplex variation of subunit expression correlates with intracomplex variation of their evolutionary rates (using two different measures of dispersion). However, a similar trend was observed for randomized complexes. Therefore, using a mathematical transformation, we created new variables capturing intracomplex variation of both E and K. The values of these new compound variables were smaller for real complexes than for randomized ones. This shows that proteins in complexes tend to have closer expressivities (E) and K's simultaneously than in the randomly grouped genes. We speculate about the possible implications of this finding.
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spelling pubmed-18389592007-05-30 Protein Coevolution and Isoexpression in Yeast Macromolecular Complexes Ettwiller, Laurence Veitia, Reiner A. Comp Funct Genomics Research Article Previous studies in the yeast Saccharomyces cerevisiae have shown that genes encoding subunits of macromolecular complexes have similar evolutionary rates (K) and expression levels (E). Besides, it is known that the expression of a gene is a strong predictor of its rate of evolution (i.e., E and K are correlated). Here we show that intracomplex variation of subunit expression correlates with intracomplex variation of their evolutionary rates (using two different measures of dispersion). However, a similar trend was observed for randomized complexes. Therefore, using a mathematical transformation, we created new variables capturing intracomplex variation of both E and K. The values of these new compound variables were smaller for real complexes than for randomized ones. This shows that proteins in complexes tend to have closer expressivities (E) and K's simultaneously than in the randomly grouped genes. We speculate about the possible implications of this finding. Hindawi Publishing Corporation 2007 2007-01-08 /pmc/articles/PMC1838959/ /pubmed/17538690 http://dx.doi.org/10.1155/2007/58721 Text en Copyright © 2007 L. Ettwiller and R. A. Veitia. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Ettwiller, Laurence
Veitia, Reiner A.
Protein Coevolution and Isoexpression in Yeast Macromolecular Complexes
title Protein Coevolution and Isoexpression in Yeast Macromolecular Complexes
title_full Protein Coevolution and Isoexpression in Yeast Macromolecular Complexes
title_fullStr Protein Coevolution and Isoexpression in Yeast Macromolecular Complexes
title_full_unstemmed Protein Coevolution and Isoexpression in Yeast Macromolecular Complexes
title_short Protein Coevolution and Isoexpression in Yeast Macromolecular Complexes
title_sort protein coevolution and isoexpression in yeast macromolecular complexes
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1838959/
https://www.ncbi.nlm.nih.gov/pubmed/17538690
http://dx.doi.org/10.1155/2007/58721
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