Improving acetoin production through construction of a genome-scale metabolic model

Acetoin was widely used in food, medicine, and other industries, because of its unique fragrance. Bacillus amyloliquefaciens was recognized as a safe strain and a promising acetoin producer in fermentation. However, due to the complexity of its metabolic network, it had not been fully utilized. Ther...

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Vydáno v:Computers in biology and medicine Ročník 158; s. 106833
Hlavní autoři: Qian, Jinyi, Wang, Yuzhou, Liu, Xiner, Hu, Zijian, Xu, Nan, Wang, Yuetong, Shi, Tianqiong, Ye, Chao
Médium: Journal Article
Jazyk:angličtina
Vydáno: United States Elsevier Ltd 01.05.2023
Elsevier Limited
Témata:
Acetoin
Acetoin - metabolism
Algorithms
Amino acids
Automation
Bacillus amyloliquefaciens
Biosynthesis
Carbon
Chemical synthesis
Enzymes
Fermentation
Food industry
Genes
Genome-scale metabolic network model
Genomes
Glucose isomerase
Glucose-6-phosphate isomerase
Gram-positive bacteria
Industrial production
Internal Medicine
Ketoglutaric acid
Magnesium
Medical research
Metabolic engineering
Metabolic Engineering - methods
Metabolic networks
Metabolic Networks and Pathways - genetics
Metabolism
Metabolites
Nitrogen
Other
Potential targets
Pyruvic acid
Acetoin
Potential targets
Bacillus amyloliquefaciens
Genome-scale metabolic network model
ISSN:0010-4825, 1879-0534, 1879-0534
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Shrnutí:Acetoin was widely used in food, medicine, and other industries, because of its unique fragrance. Bacillus amyloliquefaciens was recognized as a safe strain and a promising acetoin producer in fermentation. However, due to the complexity of its metabolic network, it had not been fully utilized. Therefore, a genome-scale metabolic network model (iJYQ746) of B. amyloliquefaciens was constructed in this study, containing 746 genes, 1736 reactions, and 1611 metabolites. The results showed that Mg2+, Mn2+, and Fe2+ have inhibitory effects on acetoin. When the stirring speed was 400 rpm, the maximum titer was 49.8 g L−1. Minimization of metabolic adjustments (MOMA) was used to identify potential metabolic modification targets 2-oxoglutarate aminotransferase (serC, EC 2.6.1.52) and glucose-6-phosphate isomerase (pgi, EC 5.3.1.9). These targets could effectively accumulate acetoin by increasing pyruvate content, and the acetoin synthesis rate was increased by 610% and 10%, respectively. This provides a theoretical basis for metabolic engineering to reasonably transform B. amyloliquefaciens and produce acetoin. [Display omitted] •The model of Bacillus amyloliquefaciens (iJYQ749) was established.•The metabolic flux distribution was quantitatively calculated.•The optimal fermentation conditions were identified based on the model.•A series of metabolic engineering targets were predicted based on the model.
Bibliografie:ObjectType-Article-1
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ISSN:0010-4825
1879-0534
1879-0534
DOI:10.1016/j.compbiomed.2023.106833