Analysis of the cyanobacterial amino acid metabolism with a precise genome-scale metabolic reconstruction of Anabaena sp. UTEX 2576
•Anabaena cells are photosynthetic and diazotrophic factories of specialty chemicals.•The metabolic network of Anabaena is represented by the genome-scale model iDN1004.•Flux analysis predicted phycocyanobilin and amino-acid production rates.•Amino acids represent branching points to produce valuabl...
Gespeichert in:
Veröffentlicht in: | Biochemical engineering journal 2021-07, Vol.171 (C), p.108008, Article 108008 |
---|---|
Hauptverfasser: | , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | •Anabaena cells are photosynthetic and diazotrophic factories of specialty chemicals.•The metabolic network of Anabaena is represented by the genome-scale model iDN1004.•Flux analysis predicted phycocyanobilin and amino-acid production rates.•Amino acids represent branching points to produce valuable secondary metabolites.
Filamentous cyanobacteria such as Anabaena sp. UTEX 2576 (a.k.a., Nostoc sp. PCC 7120) are a sustainable platform for commodity and specialty chemical production. Anabaena is a model cyanobacterium adopted to study production of nitrogen-containing metabolites useful for chemical, cosmetic, and pharmaceutical industries. Therefore, a precise description of the Anabaena metabolic network is desired to analyze their amino-acid metabolism and elucidate potential applications of these cyanobacteria as host organisms for biotechnological production. Secondary metabolite production depends on the metabolic availability of amino acids. Here, we provide new insight on the biotechnological utilization of Anabaena after predicting phycocyanobilin and amino-acid production rates, using a genome-scale metabolic model (iDN1004). This metabolic reconstruction is a highly comprehensive representation of the global metabolism of Anabaena, which also contains experimental biomass equations and constraints under photoautotrophic and photodiazotrophic growth. Modelling results ranked proteinogenic amino acids based on predicted metabolic fluxes through amino-acid producing reactions. From these, l-aspartate, glycine, l-serine, l-valine, l-alanine, l-threonine, and l-leucine were selected as the best branching points to conduct metabolic engineering, where l-aspartate, l-serine, l-valine and glycine serve as potential precursors of the secondary metabolites Schizokinen (a siderophore), Sphingosine (a ceramide), Lyngbyatoxin A (an alkaloid), and Shinorine (a sunscreen). |
---|---|
ISSN: | 1369-703X 1873-295X |
DOI: | 10.1016/j.bej.2021.108008 |