To study the complex regulation of extracellular proteases in the filamentous fungus Aspergillus niger a combination of comprehensive functional genomics technologies was used. The requirements for performing a successful systems biology study and addressing the challenges met in analyzing the large, information-rich data sets is adressed. Protease activity plays an important role in strain and process development of A. niger and other aspergilli. In our research the influence of several environmental factors on the production of extracellular proteases in controlled batch cultivations was studied. Samples generated in this study were used for analysis with functional genomics technologies. With a shotgun proteomics approach the A. niger secretome under different experimental conditions was determined. Furthermore, the effect of different quantitative phenotypes related to protease or glucoamylase activity on the information content of a metabolomics data set was investigated. Based on a transcriptomics study the identification of co-expression networks is described. First, a set of conserved genes was used to construct these networks. Subsequently, all annotated genes, including hypothetical and poorly conserved genes, were integrated into the co- expression analysis, allowing identification of novel targets for strain and process development.
Full conference title:
26th Fungal Genetics Conference
- Fungal Genetics Conference 26th (2005)