Expanding the toolbox of probiotic Escherichia coli Nissle 1917 for synthetic biology.

Escherichia coli Nissle 1917 cell-free protein synthesis cryptic plasmid integrase synthetic biology

Journal

Biotechnology journal
ISSN: 1860-7314
Titre abrégé: Biotechnol J
Pays: Germany
ID NLM: 101265833

Informations de publication

Date de publication:
06 Oct 2023
Historique:
revised: 11 09 2023
received: 06 07 2023
accepted: 27 09 2023
pubmed: 6 10 2023
medline: 6 10 2023
entrez: 6 10 2023
Statut: aheadofprint

Résumé

Escherichia coli Nissle 1917 (EcN) is a probiotic microbe that has the potential to be developed as a promising chassis for synthetic biology applications. However, the molecular tools and techniques for utilizing EcN remain to be further explored. To address this opportunity, the EcN-based toolbox was systematically expanded, enabling EcN as a powerful platform for more applications. First, two EcN cryptic plasmids and other compatible plasmids were genetically engineered to enrich the manipulable plasmid toolbox for multiple gene coexpression. Next, two EcN-based technologies were developed, including the conjugation strategy for DNA transfer, and quantification of protein expression capability. Finally, the EcN-based applications were further expanded by developing EcN native integrase-mediated genetic engineering and establishing an in vitro cell-free protein synthesis (CFPS) system. Overall, this study expanded the toolbox for manipulating and making full use of EcN as a commonly used probiotic chassis, providing several simplified, dependable, and predictable strategies for researchers working in synthetic biology fields.

Identifiants

pubmed: 37800393
doi: 10.1002/biot.202300327
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e2300327

Subventions

Organisme : National Natural Science Foundation of China
ID : 32171427
Organisme : National Natural Science Foundation of China
ID : 31971348

Informations de copyright

© 2023 Wiley-VCH GmbH.

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Auteurs

Fang Ba (F)

School of Physical Science and Technology, ShanghaiTech University, Shanghai, China.

Yufei Zhang (Y)

School of Physical Science and Technology, ShanghaiTech University, Shanghai, China.

Xiangyang Ji (X)

School of Physical Science and Technology, ShanghaiTech University, Shanghai, China.

Wan-Qiu Liu (WQ)

School of Physical Science and Technology, ShanghaiTech University, Shanghai, China.

Shengjie Ling (S)

School of Physical Science and Technology, ShanghaiTech University, Shanghai, China.

Jian Li (J)

School of Physical Science and Technology, ShanghaiTech University, Shanghai, China.

Classifications MeSH