Transcriptional profiling of Aspergillus niger
The industrially important fungus Aspergillus niger feeds naturally on decomposing plant material, of which a significant proportion is lipid. Examination of the A. niger genome sequence suggested that all proteins required for metabolic conversion of lipids are present, including 63 predicted lipases. In contrast to polysaccharide-degrading enzyme networks, not much is known about the signaling and regulatory processes that control lipase expression and activity in fungi. This project was aimed to gain better understanding of lipid degradation mechanisms and how this process is regulated in A. niger, primarily via assessment of its gene transcription levels. Minimizing biological and technical variation is crucial for experiments in which transcription levels are determined, such as microarray and quantitative real-time PCR experiments. However, A. niger is difficult to cultivate in a reproducible way due to its filamentous growth. In addition, the complex processing steps of transcriptomics technologies add non-experimental variation to the biological variation. To reduce this data noise, robust protocols based on a batch-fermentation setup were developed. Variation in this setup was surveyed by examining the fungal transcriptional response towards a pulse of D-xylose. The sources of non-experimental variation were described by variance components analysis. Two-thirds of total variation stems from differences in routine handling of fermentations, but in absolute terms this variation is low. As D-xylose is an inducer of the xylanolytic system, the high reproducibility of cultures for the first time allowed a detailed description of the global fungal transcriptional response towards D-xylose using microarrays. The transcriptional response towards three plant derived oils was examined in another study. Both olive oil and a wheat-gluten extracted oil induce the transcription of genes involved in lipid metabolism and peroxisome assembly, albeit with different expression profiles. The third oil, a plant membrane lipid, did not trigger a transcriptional response. Microarray data are related to the physiology of the fungus. To better understand the general principles that underlie gene regulation and gene transcription, microarray data from cultures grown under mildly and strongly perturbed conditions were analyzed for co-expression of genes. Despite the diverse culturing conditions, co-expressed gene modules could be identified. Some of these modules can be related to biological functions. For some modules, conserved promoter elements were identified, which suggests that genes in these modules are regulated on a transcriptional level. The work described in this thesis shows that (i) high-quality -omics data for A. niger can be generated; that (ii) analysis and interpretation of these data enhances our understanding of the xylanolytic and lipid metabolic regulons; and (iii) that these data give insight into the regulatory mechanisms of this fungus.
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Doctoral thesis biblioteca |
| Language: | English |
| Subjects: | aspergillus niger, dna microarrays, genomics, transcription, genexpressieanalyse, transcriptie, |
| Online Access: | https://research.wur.nl/en/publications/transcriptional-profiling-of-aspergillus-niger |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | The industrially important fungus Aspergillus niger feeds naturally on decomposing plant material, of which a significant proportion is lipid. Examination of the A. niger genome sequence suggested that all proteins required for metabolic conversion of lipids are present, including 63 predicted lipases. In contrast to polysaccharide-degrading enzyme networks, not much is known about the signaling and regulatory processes that control lipase expression and activity in fungi. This project was aimed to gain better understanding of lipid degradation mechanisms and how this process is regulated in A. niger, primarily via assessment of its gene transcription levels. Minimizing biological and technical variation is crucial for experiments in which transcription levels are determined, such as microarray and quantitative real-time PCR experiments. However, A. niger is difficult to cultivate in a reproducible way due to its filamentous growth. In addition, the complex processing steps of transcriptomics technologies add non-experimental variation to the biological variation. To reduce this data noise, robust protocols based on a batch-fermentation setup were developed. Variation in this setup was surveyed by examining the fungal transcriptional response towards a pulse of D-xylose. The sources of non-experimental variation were described by variance components analysis. Two-thirds of total variation stems from differences in routine handling of fermentations, but in absolute terms this variation is low. As D-xylose is an inducer of the xylanolytic system, the high reproducibility of cultures for the first time allowed a detailed description of the global fungal transcriptional response towards D-xylose using microarrays. The transcriptional response towards three plant derived oils was examined in another study. Both olive oil and a wheat-gluten extracted oil induce the transcription of genes involved in lipid metabolism and peroxisome assembly, albeit with different expression profiles. The third oil, a plant membrane lipid, did not trigger a transcriptional response. Microarray data are related to the physiology of the fungus. To better understand the general principles that underlie gene regulation and gene transcription, microarray data from cultures grown under mildly and strongly perturbed conditions were analyzed for co-expression of genes. Despite the diverse culturing conditions, co-expressed gene modules could be identified. Some of these modules can be related to biological functions. For some modules, conserved promoter elements were identified, which suggests that genes in these modules are regulated on a transcriptional level. The work described in this thesis shows that (i) high-quality -omics data for A. niger can be generated; that (ii) analysis and interpretation of these data enhances our understanding of the xylanolytic and lipid metabolic regulons; and (iii) that these data give insight into the regulatory mechanisms of this fungus. |
|---|