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The Impact of Trans-Regulation on the Evolutionary Rates of Metazoan Proteins

Transcription factor (TF) and microRNA (miRNA) are two crucial trans-regulatory factors that coordinately control gene expression. Understanding the impacts of these two factors on the rate of protein sequence evolution is of great importance in evolutionary biology. While many biological factors as...

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Autores principales: Chen, Yi-Ching, Cheng, Jen-Hao, Tsai, Zing Tsung-Yeh, Tsai, Huai-Kuang, Chuang, Trees-Juen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3711421/
https://www.ncbi.nlm.nih.gov/pubmed/23658220
http://dx.doi.org/10.1093/nar/gkt349
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author Chen, Yi-Ching
Cheng, Jen-Hao
Tsai, Zing Tsung-Yeh
Tsai, Huai-Kuang
Chuang, Trees-Juen
author_facet Chen, Yi-Ching
Cheng, Jen-Hao
Tsai, Zing Tsung-Yeh
Tsai, Huai-Kuang
Chuang, Trees-Juen
author_sort Chen, Yi-Ching
collection PubMed
description Transcription factor (TF) and microRNA (miRNA) are two crucial trans-regulatory factors that coordinately control gene expression. Understanding the impacts of these two factors on the rate of protein sequence evolution is of great importance in evolutionary biology. While many biological factors associated with evolutionary rate variations have been studied, evolutionary analysis of simultaneously accounting for TF and miRNA regulations across metazoans is still uninvestigated. Here, we provide a series of statistical analyses to assess the influences of TF and miRNA regulations on evolutionary rates across metazoans (human, mouse and fruit fly). Our results reveal that the negative correlations between trans-regulation and evolutionary rates hold well across metazoans, but the strength of TF regulation as a rate indicator becomes weak when the other confounding factors that may affect evolutionary rates are controlled. We show that miRNA regulation tends to be a more essential indicator of evolutionary rates than TF regulation, and the combination of TF and miRNA regulations has a significant dependent effect on protein evolutionary rates. We also show that trans-regulation (especially miRNA regulation) is much more important in human/mouse than in fruit fly in determining protein evolutionary rates, suggesting a considerable variation in rate determinants between vertebrates and invertebrates.
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spelling pubmed-37114212013-07-15 The Impact of Trans-Regulation on the Evolutionary Rates of Metazoan Proteins Chen, Yi-Ching Cheng, Jen-Hao Tsai, Zing Tsung-Yeh Tsai, Huai-Kuang Chuang, Trees-Juen Nucleic Acids Res Computational Biology Transcription factor (TF) and microRNA (miRNA) are two crucial trans-regulatory factors that coordinately control gene expression. Understanding the impacts of these two factors on the rate of protein sequence evolution is of great importance in evolutionary biology. While many biological factors associated with evolutionary rate variations have been studied, evolutionary analysis of simultaneously accounting for TF and miRNA regulations across metazoans is still uninvestigated. Here, we provide a series of statistical analyses to assess the influences of TF and miRNA regulations on evolutionary rates across metazoans (human, mouse and fruit fly). Our results reveal that the negative correlations between trans-regulation and evolutionary rates hold well across metazoans, but the strength of TF regulation as a rate indicator becomes weak when the other confounding factors that may affect evolutionary rates are controlled. We show that miRNA regulation tends to be a more essential indicator of evolutionary rates than TF regulation, and the combination of TF and miRNA regulations has a significant dependent effect on protein evolutionary rates. We also show that trans-regulation (especially miRNA regulation) is much more important in human/mouse than in fruit fly in determining protein evolutionary rates, suggesting a considerable variation in rate determinants between vertebrates and invertebrates. Oxford University Press 2013-07 2013-05-08 /pmc/articles/PMC3711421/ /pubmed/23658220 http://dx.doi.org/10.1093/nar/gkt349 Text en © The Author(s) 2013. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Computational Biology
Chen, Yi-Ching
Cheng, Jen-Hao
Tsai, Zing Tsung-Yeh
Tsai, Huai-Kuang
Chuang, Trees-Juen
The Impact of Trans-Regulation on the Evolutionary Rates of Metazoan Proteins
title The Impact of Trans-Regulation on the Evolutionary Rates of Metazoan Proteins
title_full The Impact of Trans-Regulation on the Evolutionary Rates of Metazoan Proteins
title_fullStr The Impact of Trans-Regulation on the Evolutionary Rates of Metazoan Proteins
title_full_unstemmed The Impact of Trans-Regulation on the Evolutionary Rates of Metazoan Proteins
title_short The Impact of Trans-Regulation on the Evolutionary Rates of Metazoan Proteins
title_sort impact of trans-regulation on the evolutionary rates of metazoan proteins
topic Computational Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3711421/
https://www.ncbi.nlm.nih.gov/pubmed/23658220
http://dx.doi.org/10.1093/nar/gkt349
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