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

Jinyi Qian; Yuzhou Wang; Xiner Liu; Zijian Hu; Nan Xu; Yuetong Wang; Tianqiong Shi; Chao Ye

doi:10.1016/j.compbiomed.2023.106833

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

Comput Biol Med. 2023 May:158:106833. doi: 10.1016/j.compbiomed.2023.106833. Epub 2023 Mar 31.

Authors

Jinyi Qian¹, Yuzhou Wang¹, Xiner Liu¹, Zijian Hu¹, Nan Xu², Yuetong Wang³, Tianqiong Shi⁴, Chao Ye⁵

Affiliations

¹ School of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing, 210023, PR China.
² College of Bioscience and Biotechnology, Yangzhou University, Yangzhou, 225009, PR China.
³ School of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing, 210023, PR China. Electronic address: wangyt@nnu.edu.cn.
⁴ School of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing, 210023, PR China. Electronic address: tqshi@njnu.edu.cn.
⁵ School of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing, 210023, PR China. Electronic address: chaoye09@njnu.edu.cn.

PMID: 37015178
DOI: 10.1016/j.compbiomed.2023.106833

Abstract

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.

Keywords: Acetoin; Bacillus amyloliquefaciens; Genome-scale metabolic network model; Potential targets.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Acetoin* / metabolism
Fermentation
Metabolic Engineering* / methods
Metabolic Networks and Pathways / genetics

Substances

Acetoin