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Quantitative modeling and analytic assessment of the transcription dynamics of the XlnR regulon in Aspergillus niger

BACKGROUND: Transcription of genes coding for xylanolytic and cellulolytic enzymes in Aspergillus niger is controlled by the transactivator XlnR. In this work we analyse and model the transcription dynamics in the XlnR regulon from time-course data of the messenger RNA levels for some XlnR target ge...

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Autores principales: Omony, Jimmy, Mach-Aigner, Astrid R., van Straten, Gerrit, van Boxtel, Anton J.B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4731903/
https://www.ncbi.nlm.nih.gov/pubmed/26822482
http://dx.doi.org/10.1186/s12918-016-0257-4
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author Omony, Jimmy
Mach-Aigner, Astrid R.
van Straten, Gerrit
van Boxtel, Anton J.B.
author_facet Omony, Jimmy
Mach-Aigner, Astrid R.
van Straten, Gerrit
van Boxtel, Anton J.B.
author_sort Omony, Jimmy
collection PubMed
description BACKGROUND: Transcription of genes coding for xylanolytic and cellulolytic enzymes in Aspergillus niger is controlled by the transactivator XlnR. In this work we analyse and model the transcription dynamics in the XlnR regulon from time-course data of the messenger RNA levels for some XlnR target genes, obtained by reverse transcription quantitative PCR (RT-qPCR). Induction of transcription was achieved using low (1 mM) and high (50 mM) concentrations of D-xylose (Xyl). We investigated the wild type strain (Wt) and a mutant strain with partial loss-of-function of the carbon catabolite repressor CreA (Mt). RESULTS: An improved kinetic differential equation model based on two antagonistic Hill functions was proposed, and fitted to the time-course RT-qPCR data from the Wt and the Mt by numerical optimization of the parameters. We show that perturbing the XlnR regulon with Xyl in low and high concentrations results in different expression levels and transcription dynamics of the target genes. At least four distinct transcription profiles were observed, particularly for the usage of 50 mM Xyl. Higher transcript levels were observed for some genes after induction with 1 mM rather than 50 mM Xyl, especially in the Mt. Grouping the expression profiles of the investigated genes has improved our understanding of induction by Xyl and the according regulatory role of CreA. CONCLUSIONS: The model explains for the higher expression levels at 1 mM versus 50 mM in both Wt and Mt. It does not yet fully encapsulate the effect of partial loss-of-function of CreA in the Mt. The model describes the dynamics in most of the data and elucidates the time-dynamics of the two major regulatory mechanisms: i) the activation by XlnR, and ii) the carbon catabolite repression by CreA. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12918-016-0257-4) contains supplementary material, which is available to authorized users.
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spelling pubmed-47319032016-01-30 Quantitative modeling and analytic assessment of the transcription dynamics of the XlnR regulon in Aspergillus niger Omony, Jimmy Mach-Aigner, Astrid R. van Straten, Gerrit van Boxtel, Anton J.B. BMC Syst Biol Research Article BACKGROUND: Transcription of genes coding for xylanolytic and cellulolytic enzymes in Aspergillus niger is controlled by the transactivator XlnR. In this work we analyse and model the transcription dynamics in the XlnR regulon from time-course data of the messenger RNA levels for some XlnR target genes, obtained by reverse transcription quantitative PCR (RT-qPCR). Induction of transcription was achieved using low (1 mM) and high (50 mM) concentrations of D-xylose (Xyl). We investigated the wild type strain (Wt) and a mutant strain with partial loss-of-function of the carbon catabolite repressor CreA (Mt). RESULTS: An improved kinetic differential equation model based on two antagonistic Hill functions was proposed, and fitted to the time-course RT-qPCR data from the Wt and the Mt by numerical optimization of the parameters. We show that perturbing the XlnR regulon with Xyl in low and high concentrations results in different expression levels and transcription dynamics of the target genes. At least four distinct transcription profiles were observed, particularly for the usage of 50 mM Xyl. Higher transcript levels were observed for some genes after induction with 1 mM rather than 50 mM Xyl, especially in the Mt. Grouping the expression profiles of the investigated genes has improved our understanding of induction by Xyl and the according regulatory role of CreA. CONCLUSIONS: The model explains for the higher expression levels at 1 mM versus 50 mM in both Wt and Mt. It does not yet fully encapsulate the effect of partial loss-of-function of CreA in the Mt. The model describes the dynamics in most of the data and elucidates the time-dynamics of the two major regulatory mechanisms: i) the activation by XlnR, and ii) the carbon catabolite repression by CreA. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12918-016-0257-4) contains supplementary material, which is available to authorized users. BioMed Central 2016-01-29 /pmc/articles/PMC4731903/ /pubmed/26822482 http://dx.doi.org/10.1186/s12918-016-0257-4 Text en © Omony et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Omony, Jimmy
Mach-Aigner, Astrid R.
van Straten, Gerrit
van Boxtel, Anton J.B.
Quantitative modeling and analytic assessment of the transcription dynamics of the XlnR regulon in Aspergillus niger
title Quantitative modeling and analytic assessment of the transcription dynamics of the XlnR regulon in Aspergillus niger
title_full Quantitative modeling and analytic assessment of the transcription dynamics of the XlnR regulon in Aspergillus niger
title_fullStr Quantitative modeling and analytic assessment of the transcription dynamics of the XlnR regulon in Aspergillus niger
title_full_unstemmed Quantitative modeling and analytic assessment of the transcription dynamics of the XlnR regulon in Aspergillus niger
title_short Quantitative modeling and analytic assessment of the transcription dynamics of the XlnR regulon in Aspergillus niger
title_sort quantitative modeling and analytic assessment of the transcription dynamics of the xlnr regulon in aspergillus niger
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4731903/
https://www.ncbi.nlm.nih.gov/pubmed/26822482
http://dx.doi.org/10.1186/s12918-016-0257-4
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