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.
黑曲霉作为重要的工业发酵菌株，被广泛用于多种有机酸和工业用酶的生产。随着组学技术的日益发展和成熟，黑曲霉的基因组、转录组、蛋白质组、代谢组等组学数据不断增长，宣告着黑曲霉生物过程研究大数据时代的到来。从单一组学的数据分析、多组学的比较到以基因组代谢网络模型为中心的多组学整合研究,人们对黑曲霉高效生产机制的理解不断深入和系统，这为通过遗传改造和过程调控对菌株的生产性能进行理性的全局优化提供了可能。本文回顾和总结了近年来黑曲霉的组学研究进展，并提出黑曲霉组学研究未来的发展方向。.
Keywords: Aspergillus niger; genome; genome-scale metabolic network model; metabolome; omics integration; proteome; transcriptome.