Secretomic Insight into Glucose Metabolism of Aspergillus brasiliensis in Solid-State Fermentation

The genus Aspergillus is ubiquitous in nature and includes various species extensively exploited industrially due to their ability to produce and secrete a variety of enzymes and metabolites. Most processes are performed in submerged fermentation (SmF); however, solid-state fermentation (SSF) offers...

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Bibliographic Details
Published in:Journal of proteome research 2016-10, Vol.15 (10), p.3856-3871
Main Authors: Volke-Sepulveda, Tania, Salgado-Bautista, Daniel, Bergmann, Carl, Wells, Lance, Gutierrez-Sanchez, Gerardo, Favela-Torres, Ernesto
Format: Article
Language:English
Subjects:
Aspergillus - enzymology
Aspergillus - metabolism
Biochemistry & Molecular Biology
Carbohydrate Metabolism
Carbon Dioxide - metabolism
Chromatography, Liquid
Electrophoresis, Polyacrylamide Gel
Fermentation
Gene Expression Regulation, Fungal - drug effects
Glucose - metabolism
Glucose - pharmacology
Mass Spectrometry
Metabolism - drug effects
Proteomics - methods
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Summary:The genus Aspergillus is ubiquitous in nature and includes various species extensively exploited industrially due to their ability to produce and secrete a variety of enzymes and metabolites. Most processes are performed in submerged fermentation (SmF); however, solid-state fermentation (SSF) offers several advantages, including lower catabolite repression and substrate inhibition and higher productivity and stability of the enzymes produced. This study aimed to explain the improved metabolic behavior of A. brasiliensis ATCC9642 in SSF at high glucose concentrations through a proteomic approach. Online respirometric analysis provided reproducible samples for secretomic studies when the maximum CO2 production rate occurred, ensuring consistent physiological states. Extracellular extracts from SSF cultures were treated by SDS-PAGE, digested with trypsin, and analyzed by LC–MS/MS. Of 531 sequences identified, 207 proteins were analyzed. Twenty-five were identified as the most abundant unregulated proteins; 87 were found to be up-regulated and 95 were down-regulated with increasing glucose concentration. Of the regulated proteins, 120 were enzymes, most involved in the metabolism of carbohydrates (51), amino acids (23), and nucleotides (9). This study shows the high protein secretory activity of A. brasiliensis under SSF conditions. High glucose concentration favors catabolic activities, while some stress-related proteins and those involved in proteolysis are down-regulated.
ISSN:1535-3893
1535-3907
DOI:10.1021/acs.jproteome.6b00663