Related Experiment Video
Updated: Feb 17, 2026

Author Spotlight: Designing Simple and Inexpensive Techniques to Grow Methane-Oxidizing Bacteria in the Laboratory
Published on: September 6, 2024
Metabolic Model Reconstruction and Analysis of an Artificial Microbial Ecosystem
Chao Ye1, Nan Xu1, Xiulai Chen1
1State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu, China.
Abstract:
Microbial communities are widespread in the environment, and to isolate and identify species or to determine relations among microorganisms, some 'omics methods like metagenomics, proteomics, and metabolomics have been used. When combined with various 'omics data, models known as artificial microbial ecosystems (AME) are powerful methods that can make functional predictions about microbial communities. Reconstruction of an AME model is the first step for model analysis. Many techniques have been applied to the construction of AME models, e.g., the compartmentalization approach, community objectives method, and dynamic analysis approach. Of these approaches, species compartmentalization is the most relevant to genetics. Besides, some algorithms have been developed for the analysis of AME models. In this chapter, we present a general protocol for the use of the species compartmentalization method to reconstruct a model of microbial communities. Then, the analysis of an AME is discussed.
Related Concept Videos
Metabolism of Chemolithotrophs
Overview of Archaea
Microbial Fermentation
Microbial Growth Measurement: Indirect Methods
Operon Model

