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Deep sequencing analysis of transcriptomes in Aspergillus oryzae in response to salinity stress

  • Genomics, transcriptomics, proteomics
  • Published:
Applied Microbiology and Biotechnology Aims and scope Submit manuscript

Abstract

Characterization of the changes after various stimuli is crucial to comprehend the adaptation of cells to the changing condition. Aspergillus oryzae is widely used for the industrial production of soy sauce, which always encounter changes within a complex environment, such as salinity stress. However, the protective biochemical mechanisms of A. oryzae against salinity stress are poorly understood. In this study, we successfully characterized the fermentative behavior, transcriptomic profiles, and metabolite changes of A. oryzae in response to salinity stress. The results showed that salt treatment of A. oryzae inhibited the fungal development and conidia formation. Transcriptomic analysis showed an upregulated expression of the genes related to arginine accumulation and oleic acid synthesis. The results of qRT-PCR were further confirmed by the reliability and availability of the differentially expressed genes obtained from the transcriptome analysis. Metabolomic analysis revealed that the corresponding intracellular accumulation of arginine and oleic acid were also increased in response to the salinity stress. All of the results provide a global transcriptome characterization of the salt adaptation process in A. oryzae, and offer multiple target genes for salt tolerance improvement via genetic engineering.

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Funding

This study was funded by the National Natural Science Foundation of China (NSFC) (Grant No. 31171731, 31700068 and 31460447), International S&T Cooperation Project of Jiangxi Provincial (Grant No. 20142BDH80003), General Science and Technology Project of Nanchang City (Grant No. 3000035402), “555 Talent Project” of Jiangxi Province, Jiangxi Province Science Foundation for Youths (20114BAB205039 and 20171BAB214004) and Science and Technology Research Project of Jiangxi Provincial Department of Education (Grant No. GJJ160765 and GJJ160794).

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Author notes

  1. Bin He and Long Ma contributed equally to this work.

Authors and Affiliations

  1. Jiangxi Key Laboratory of Bioprocess Engineering and Co-Innovation Center for In-vitro Diagnostic Reagents and Devices of Jiangxi Province, College of Life Sciences, Jiangxi Science & Technology Normal University, Nanchang, 330013, China

    Bin He, Long Ma, Zhihong Hu, Haoran Li, Mingqiang Ai, Chuannan Long & Bin Zeng

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  1. Bin He
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  2. Long Ma
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  3. Zhihong Hu
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  4. Haoran Li
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  5. Mingqiang Ai
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  6. Chuannan Long
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  7. Bin Zeng
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Correspondence to Bin Zeng.

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He, B., Ma, L., Hu, Z. et al. Deep sequencing analysis of transcriptomes in Aspergillus oryzae in response to salinity stress. Appl Microbiol Biotechnol 102, 897–906 (2018). https://doi.org/10.1007/s00253-017-8603-z

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  • DOI: https://doi.org/10.1007/s00253-017-8603-z

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