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[Progress in omics research of Aspergillus niger]
Yufei Sui1, Liming Ouyang1, Hongzhong Lu1
1State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai 200237, China.
Aspergillus niger research is entering a big data era with advanced omics technologies. Integrating multi-omics data with metabolic models enhances understanding and optimization of this industrial fermentation strain.
Area of Science:
- Industrial biotechnology
- Microbial fermentation
- Systems biology
Background:
- Aspergillus niger is a key industrial strain for producing organic acids and enzymes.
- The increasing volume of omics data (genome, transcriptome, proteome, metabolome) signifies a big data era for A. niger research.
Purpose of the Study:
- To review and summarize the progress of omics research in Aspergillus niger.
- To propose future directions for omics research in A. niger as a cell factory.
Main Methods:
- Analysis of single omics data.
- Comparison of multi-omics data.
- Integration of multi-omics data with genome-scale metabolic network models.
Main Results:
- Multi-omics integration deepens the understanding of A. niger's efficient production mechanisms.
- This approach enables systematic optimization of strain performance through genetic modification and process regulation.
Conclusions:
- Omics technologies are crucial for advancing Aspergillus niger research.
- Future research should focus on integrating multi-omics data for enhanced strain engineering and process optimization.
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