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Cloudy with a Chance of Insights: Context Dependent Gene Regulation and Implications for Evolutionary Studies

Research in various fields of evolutionary biology has shown that divergence in gene expression is a key driver for phenotypic evolution. An exceptional contribution of cis-regulatory divergence has been found to contribute to morphological diversification. In the light of these findings, the analys...

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Autores principales: Buchberger, Elisa, Reis, Micael, Lu, Ting-Hsuan, Posnien, Nico
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6678813/
https://www.ncbi.nlm.nih.gov/pubmed/31261769
http://dx.doi.org/10.3390/genes10070492
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author Buchberger, Elisa
Reis, Micael
Lu, Ting-Hsuan
Posnien, Nico
author_facet Buchberger, Elisa
Reis, Micael
Lu, Ting-Hsuan
Posnien, Nico
author_sort Buchberger, Elisa
collection PubMed
description Research in various fields of evolutionary biology has shown that divergence in gene expression is a key driver for phenotypic evolution. An exceptional contribution of cis-regulatory divergence has been found to contribute to morphological diversification. In the light of these findings, the analysis of genome-wide expression data has become one of the central tools to link genotype and phenotype information on a more mechanistic level. However, in many studies, especially if general conclusions are drawn from such data, a key feature of gene regulation is often neglected. With our article, we want to raise awareness that gene regulation and thus gene expression is highly context dependent. Genes show tissue- and stage-specific expression. We argue that the regulatory context must be considered in comparative expression studies.
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spelling pubmed-66788132019-08-19 Cloudy with a Chance of Insights: Context Dependent Gene Regulation and Implications for Evolutionary Studies Buchberger, Elisa Reis, Micael Lu, Ting-Hsuan Posnien, Nico Genes (Basel) Review Research in various fields of evolutionary biology has shown that divergence in gene expression is a key driver for phenotypic evolution. An exceptional contribution of cis-regulatory divergence has been found to contribute to morphological diversification. In the light of these findings, the analysis of genome-wide expression data has become one of the central tools to link genotype and phenotype information on a more mechanistic level. However, in many studies, especially if general conclusions are drawn from such data, a key feature of gene regulation is often neglected. With our article, we want to raise awareness that gene regulation and thus gene expression is highly context dependent. Genes show tissue- and stage-specific expression. We argue that the regulatory context must be considered in comparative expression studies. MDPI 2019-06-28 /pmc/articles/PMC6678813/ /pubmed/31261769 http://dx.doi.org/10.3390/genes10070492 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Buchberger, Elisa
Reis, Micael
Lu, Ting-Hsuan
Posnien, Nico
Cloudy with a Chance of Insights: Context Dependent Gene Regulation and Implications for Evolutionary Studies
title Cloudy with a Chance of Insights: Context Dependent Gene Regulation and Implications for Evolutionary Studies
title_full Cloudy with a Chance of Insights: Context Dependent Gene Regulation and Implications for Evolutionary Studies
title_fullStr Cloudy with a Chance of Insights: Context Dependent Gene Regulation and Implications for Evolutionary Studies
title_full_unstemmed Cloudy with a Chance of Insights: Context Dependent Gene Regulation and Implications for Evolutionary Studies
title_short Cloudy with a Chance of Insights: Context Dependent Gene Regulation and Implications for Evolutionary Studies
title_sort cloudy with a chance of insights: context dependent gene regulation and implications for evolutionary studies
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6678813/
https://www.ncbi.nlm.nih.gov/pubmed/31261769
http://dx.doi.org/10.3390/genes10070492
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