Insights into constructing a stable and efficient microbial consortium
Synthetic Biotechnology and Metabolic Engineering|Updated:2026-01-06
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Insights into constructing a stable and efficient microbial consortium
Chinese Journal of Chemical EngineeringVol. 29, Issue 2, Pages: 112-120(2021)
Affiliations:
1. Key Laboratory of Industrial Biocatalysis, Ministry of Education,Beijing,China,100084
2. Department of Chemical Engineering, Tsinghua University,Beijing,China,100084
3. Center for Synthetic and Systems Biology, Tsinghua University,Beijing,China,100084
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Published:2021
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Chunmeng Xu, Huimin Yu. Insights into constructing a stable and efficient microbial consortium[J]. Chinese Journal of Chemical Engineering, 2021, 29(2): 112-120.
DOI:
Chunmeng Xu, Huimin Yu. Insights into constructing a stable and efficient microbial consortium[J]. Chinese Journal of Chemical Engineering, 2021, 29(2): 112-120.DOI:
Insights into constructing a stable and efficient microbial consortium
in which multiple microbial species cooperate to complete some important tasks such as lignocellulose degradation. Because of the advantages such as reduced metabolic burden and robustness to environment disturbances
developing a microbial consortium is a promising approach for valuable product synthesis
lignocellulose utilization
human health care
bioremediation and sustainable energy
etc
. Despite the benefits
however
most artificial microbial consortia confront the problems of instability and low efficiency due to growth competition and metabolite incompatibility. To overcome these challenges
multiple strategies to design efficient synthetic microbial consortia have been reported. In this review
the interactions that determine the stability and performance of microbial consortia were described. Progress of artificial microbial consortia research was summarized
and the key strategies
i.e
.
spatial or temporal segregation
separated utilization of nutrients
nutrient cross-feeding and division of labor
that will be of great importance for achieving a stable and efficient microbial consortium were highlighted. Two novel
advanced tools
signaling molecule systems and computational models
were also introduced and discussed. We believed that combining the universal cell–cell signaling molecule systems with computational models will be promising for synthetic microbial consortia construction in the future.
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