Back to Search
Start Over
Quantitative modeling and analytic assessment of the transcription dynamics of the XlnR regulon in Aspergillus niger
- Source :
- BMC Systems Biology 10 (2016), BMC Systems Biology, 10, BMC Systems Biology, 10:13. BMC, BMC Systems Biology
- Publication Year :
- 2016
-
Abstract
- 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.
- Subjects :
- 0301 basic medicine
Transcription, Genetic
Biobased Chemistry and Technology
Catabolite repression
BIOLOGY
Repressor
Biomass Refinery and Process Dynamics
Biology
Regulon
ACTIVATOR XLNR
Microbiology
Fungal Proteins
03 medical and health sciences
Transactivation
0302 clinical medicine
D-xylose
SYSTEMS
XYLOSE
Transcription (biology)
Structural Biology
Modelling and Simulation
Gene expression
Parameter estimation
OPTIMIZATION
Gene
Molecular Biology
VLAG
GENE-EXPRESSION
Feedback, Physiological
Genetics
Fungal protein
Models, Genetic
Applied Mathematics
CreA
XlnR regulon
ENCODING GENES
BIOCHEMICAL PATHWAYS
NETWORKS
Computer Science Applications
030104 developmental biology
030220 oncology & carcinogenesis
Modeling and Simulation
Aspergillus niger
Research Article
PARAMETER-ESTIMATION
Dynamic modeling
Subjects
Details
- Language :
- English
- ISSN :
- 17520509
- Database :
- OpenAIRE
- Journal :
- BMC Systems Biology 10 (2016), BMC Systems Biology, 10, BMC Systems Biology, 10:13. BMC, BMC Systems Biology
- Accession number :
- edsair.doi.dedup.....b9dbd619e3adb849f84b2850dd492ad7