Analysis of the cyanobacterial amino acid metabolism with a precise genome-scale metabolic reconstruction of Anabaena sp. UTEX 2576

Norena-Caro, Daniel A.; Zuniga, Cristal; Pete, Amber J.; Saemundsson, Sven A.; Donaldson, Morgan R.; Adams, Alexandria J.; Dooley, Kerry M.; Zengler, Karsten; Benton, Michael G.

doi:10.1016/j.bej.2021.108008

Analysis of the cyanobacterial amino acid metabolism with a precise genome-scale metabolic reconstruction of Anabaena sp. UTEX 2576

Journal Article · Wed Apr 07 00:00:00 EDT 2021 · Biochemical Engineering Journal

DOI:https://doi.org/10.1016/j.bej.2021.108008· OSTI ID:1851726

^[1]; Zuniga, Cristal ^[2]; Pete, Amber J. ^[3]; Saemundsson, Sven A. ^[3]; ^[3]; Adams, Alexandria J. ^[3]; ^[3]; Zengler, Karsten ^[4]; Benton, Michael G. ^[3]

Louisiana State University and A&M College, Baton Rouge, LA (United States); OSTI
University of California San Diego, La Jolla, CA (United States)
Louisiana State University and A&M College, Baton Rouge, LA (United States)
University of California San Diego, La Jolla, CA (United States); University of California San Diego, San Diego, CA (United States)

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. 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).

View Accepted Manuscript (DOE)

Research Organization:: Johns Hopkins University, Baltimore, MD (United States)

Sponsoring Organization:: USDOE; USDOE Office of Science (SC)

Grant/Contract Number:: SC0012658; SC0019388

OSTI ID:: 1851726

Alternate ID(s):: OSTI ID: 1777557

Journal Information:: Biochemical Engineering Journal, Journal Name: Biochemical Engineering Journal Journal Issue: C Vol. 171; ISSN 1369-703X

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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Nitrogen Sources and Iron Availability Affect Pigment Biosynthesis and Nutrient Consumption in Anabaena sp. UTEX 2576 Norena-Caro, Daniel A.; Malone, Tara M.; Benton, Michael G. Microorganisms, Vol. 9, Issue 2 https://doi.org/10.3390/microorganisms9020431	journal	February 2021

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59 BASIC BIOLOGICAL SCIENCES
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genome-scale metabolic reconstruction
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Analysis of the cyanobacterial amino acid metabolism with a precise genome-scale metabolic reconstruction of Anabaena sp. UTEX 2576

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