Construction of a genome-scale metabolic network model for the halotolerant bacterium <i>Oceanimosas</i> sp. GK1

ZHANG Jia; HOU Yanan; SHEN Shaoheng; HUANG Cong

doi:10.13205/j.hjgc.202505005

Volume 43 Issue 5

May 2025

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ZHANG Jia, HOU Yanan, SHEN Shaoheng, HUANG Cong. Construction of a genome-scale metabolic network model for the halotolerant bacterium Oceanimosas sp. GK1[J]. ENVIRONMENTAL ENGINEERING , 2025, 43(5): 38-45. doi: 10.13205/j.hjgc.202505005

Citation:

ZHANG Jia, HOU Yanan, SHEN Shaoheng, HUANG Cong. Construction of a genome-scale metabolic network model for the halotolerant bacterium Oceanimosas sp. GK1[J]. ENVIRONMENTAL ENGINEERING , 2025, 43(5): 38-45. doi: 10.13205/j.hjgc.202505005

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Construction of a genome-scale metabolic network model for the halotolerant bacterium Oceanimosas sp. GK1

doi: 10.13205/j.hjgc.202505005

1. School of Environmental and Municipal Engineering, Tianjin Chengjian University, Tianjin 300384, China;
2. Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin 300308, China

Received Date: 2024-03-31
Accepted Date: 2024-05-31
Rev Recd Date: 2024-04-21

Available Online: 2025-09-11

Abstract

Abstract

In recent years， numerous industrial activities have discharged substantial amounts of saline wastewater. Although many halotolerant bacteria have been selected from natural environments， the complexity and interconnectivity of the metabolic networks that constitute biological systems make it impossible to manually clarify the hundreds to thousands of components within a target strain. With the advancement of high-throughput technologies， genome-scale metabolic network models （GEMs） have emerged as a novel model for understanding microbial biochemical phenotypes at the system level， enabling the description and prediction of strain behavior. The study constructed the first GEM of Oceanimonas. Through corrections of ATP synthesis， the respiratory chain， and biomass composition， the final model， named iZJ929， was established. Leveraging this model， the metabolic flux distribution in the central metabolic pathway of this strain was predicted。It was found that the fluxes of glycolysis and tricarboxylic acid cycle pathway increased under anaerobic conditions to meet the energy demands of the cell. The overexpression targets for ectoine production were analyzed. When glucose and acetate were used as simulated substrates， there were 8 and 7 potential amplification targets， respectively， which provided valuable information for subsequent genetic modifications. Overall， GEMs serve as effective tools in the field of environmental engineering， and the establishment of this model provides theoretical support for analyzing the growth phenotype of Oceanimonas sp. GK1.
- Oceanimonas sp.GK1,
- genome-scale metabolic network models,
- metabolic pathway,
- overexpression of the target,
- ectoine

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