[Engineering microbial consortia through synthetic biology approach].

communication division of labor synthetic biology synthetic microbial consortia

Journal

Sheng wu gong cheng xue bao = Chinese journal of biotechnology
ISSN: 1872-2075
Titre abrégé: Sheng Wu Gong Cheng Xue Bao
Pays: China
ID NLM: 9426463

Informations de publication

Date de publication:
25 Jun 2023
Historique:
medline: 5 7 2023
pubmed: 4 7 2023
entrez: 4 7 2023
Statut: ppublish

Résumé

There are a large number of natural microbial communities in nature. Different populations inside the consortia expand the performance boundary of a single microbial population through communication and division of labor, reducing the overall metabolic burden and increasing the environmental adaptability. Based on engineering principles, synthetic biology designs or modifies basic functional components, gene circuits, and chassis cells to purposefully reprogram the operational processes of the living cells, achieving rich and controllable biological functions. Introducing this engineering design principle to obtain structurally well-defined synthetic microbial communities can provide ideas for theoretical studies and shed light on versatile applications. This review discussed recent progresses on synthetic microbial consortia with regard to design principles, construction methods and applications, and prospected future perspectives.

Identifiants

pubmed: 37401607
doi: 10.13345/j.cjb.230062
doi:

Types de publication

Review English Abstract Journal Article

Langues

chi

Sous-ensembles de citation

IM

Pagination

2517-2545

Auteurs

Jiao Zhang (J)

Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, Guangdong, China.

Jiangfeng Chen (J)

Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, Guangdong, China.

Yixuan Chen (Y)

Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, Guangdong, China.

Lei Dai (L)

Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, Guangdong, China.

Zhuojun Dai (Z)

Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, Guangdong, China.

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Classifications MeSH