- Author:
Yufei SUI
1
;
Liming OUYANG
1
;
Hongzhong LU
1
;
Yingping ZHUANG
1
;
Siliang ZHANG
1
Author Information
- Publication Type:Journal Article
- Keywords: Aspergillus niger; genome; genome-scale metabolic network model; metabolome; omics integration; proteome; transcriptome
- MeSH: Aspergillus niger; genetics; Fermentation; Genome, Fungal; Metabolic Networks and Pathways; Metabolome; Proteome; Transcriptome
- From: Chinese Journal of Biotechnology 2016;32(8):1010-1025
- CountryChina
- Language:Chinese
- Abstract: Aspergillus niger, as an important industrial fermentation strain, is widely applied in the production of organic acids and industrial enzymes. With the development of diverse omics technologies, the data of genome, transcriptome, proteome and metabolome of A. niger are increasing continuously, which declared the coming era of big data for the research in fermentation process of A. niger. The data analysis from single omics and the comparison of multi-omics, to the integrations of multi-omics based on the genome-scale metabolic network model largely extends the intensive and systematic understanding of the efficient production mechanism of A. niger. It also provides possibilities for the reasonable global optimization of strain performance by genetic modification and process regulation. We reviewed and summarized progress in omics research of A. niger, and proposed the development direction of omics research on this cell factory.