Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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Determination of variability of fermentor-grown Aspergillus niger


ABSTRACT: Knowledge of the biological and technical variation for fermentor-grown Aspergillus niger cultures is needed to design DNA microarray experiments properly. We cultured A. niger in batch-operated fermentor vessels and induced with D-xylose. Transcript profiles were followed in detail by qPCR for 8 genes. A variance components analysis was performed on these data to determine the origin and magnitude of variation within each process step for this experiment. 6 Fermentor cultures were selected to determine technical and biological variation for all 14554 ORFs present on this array type. Keywords: Validation of microarrays; variation analysis; experimental design For 5 weeks, 4 batch-fermentation per week were run in which A. niger was grown on 100 mM sorbitol. At 14 hours after oxygen supply had switched from headspace to sparger-inlet each fermentor was induced with either 0.1 mM D-xylose or 0.1 mM sorbitol. Samples were harvested just before induction and 1 hour after induction. Per week, 3 fermentors were induced with D-xylose and 1 fermentor was induced with sorbitol. Six samples were selected to be put on microarrays based on their biomass density, time distribution, magnitude of xylose-induced genes as measured by qPCR, fermentor vessel number.

ORGANISM(S): Aspergillus niger

SUBMITTER: Leo De Graaff 

PROVIDER: E-GEOD-11405 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Analysis of variance components reveals the contribution of sample processing to transcript variation.

van der Veen Douwe D   Oliveira José Miguel JM   van den Berg Willy A M WA   de Graaff Leo H LH  

Applied and environmental microbiology 20090220 8


The proper design of DNA microarray experiments requires knowledge of biological and technical variation of the studied biological model. For the filamentous fungus Aspergillus niger, a fast, quantitative real-time PCR (qPCR)-based hierarchical experimental design was used to determine this variation. Analysis of variance components determined the contribution of each processing step to total variation: 68% is due to differences in day-to-day handling and processing, while the fermentor vessel,  ...[more]

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