Development of platforms for functional characterization and production of phenazines using a multi-chassis approach via CRAGE.
CRAGE
Chassis-Independent Recombinase-Assisted Genome Engineering
Multi-Chassis Engineering
Natural Products
Phenazines
Secondary metabolites
Journal
Metabolic engineering
ISSN: 1096-7184
Titre abrégé: Metab Eng
Pays: Belgium
ID NLM: 9815657
Informations de publication
Date de publication:
01 2022
01 2022
Historique:
received:
20
09
2021
revised:
24
11
2021
accepted:
30
11
2021
pubmed:
11
12
2021
medline:
15
3
2022
entrez:
10
12
2021
Statut:
ppublish
Résumé
Phenazines (Phzs), a family of chemicals with a phenazine backbone, are secondary metabolites with diverse properties such as antibacterial, anti-fungal, or anticancer activity. The core derivatives of phenazine, phenazine-1-carboxylic acid (PCA) and phenazine-1,6-dicarboxylic acid (PDC), are themselves precursors for various other derivatives. Recent advances in genome mining tools have enabled researchers to identify many biosynthetic gene clusters (BGCs) that might produce novel Phzs. To characterize the function of these BGCs efficiently, we performed modular construct assembly and subsequent multi-chassis heterologous expression using chassis-independent recombinase-assisted genome engineering (CRAGE). CRAGE allowed rapid integration of a PCA BGC into 23 diverse γ-proteobacteria species and allowed us to identify top PCA producers. We then used the top five chassis hosts to express four partially refactored PDC BGCs. A few of these platforms produced high levels of PDC. Specifically, Xenorhabdus doucetiae and Pseudomonas simiae produced PDC at a titer of 293 mg/L and 373 mg/L, respectively, in minimal media. These titers are significantly higher than those previously reported. Furthermore, selectivity toward PDC production over PCA production was improved by up to 9-fold. The results show that these strains are promising chassis for production of PCA, PDC, and their derivatives, as well as for function characterization of Phz BGCs identified via bioinformatics mining.
Identifiants
pubmed: 34890798
pii: S1096-7176(21)00183-X
doi: 10.1016/j.ymben.2021.11.012
pii:
doi:
Substances chimiques
Phenazines
0
Recombinases
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S.
Langues
eng
Sous-ensembles de citation
IM
Pagination
188-197Informations de copyright
Copyright © 2021. Published by Elsevier Inc.