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iNovo479: Metabolic Modeling Provides a Roadmap to Optimize Bioproduct Yield from Deconstructed Lignin Aromatics by Novosphingobium aromaticivorans

1
DOE Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, Madison, WI 53726, USA
2
Wisconsin Energy Institute, University of Wisconsin-Madison, Madison, WI 53726, USA
3
Department of Civil and Environmental Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA
4
Department of Bacteriology, University of Wisconsin-Madison, Madison, WI 53706, USA
*
Author to whom correspondence should be addressed.
Academic Editors: Emily B. Graham, Hyun-Seob Song and Jianqiu Zheng
Metabolites 2022, 12(4), 366; https://doi.org/10.3390/metabo12040366
Received: 19 March 2022 / Revised: 2 April 2022 / Accepted: 9 April 2022 / Published: 18 April 2022
Lignin is an abundant renewable source of aromatics and precursors for the production of other organic chemicals. However, lignin is a heterogeneous polymer, so the mixture of aromatics released during its depolymerization can make its conversion to chemicals challenging. Microbes are a potential solution to this challenge, as some can catabolize multiple aromatic substrates into one product. Novosphingobium aromaticivorans has this ability, and its use as a bacterial chassis for lignin valorization could be improved by the ability to predict product yields based on thermodynamic and metabolic inputs. In this work, we built a genome-scale metabolic model of N. aromaticivorans, iNovo479, to guide the engineering of strains for aromatic conversion into products. iNovo479 predicted product yields from single or multiple aromatics, and the impact of combinations of aromatic and non-aromatic substrates on product yields. We show that enzyme reactions from other organisms can be added to iNovo479 to predict the feasibility and profitability of producing additional products by engineered strains. Thus, we conclude that iNovo479 can help guide the design of bacteria to convert lignin aromatics into valuable chemicals. View Full-Text
Keywords: metabolic modeling; aromatic metabolism; thermodynamics; lignin conversion metabolic modeling; aromatic metabolism; thermodynamics; lignin conversion
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MDPI and ACS Style

Linz, A.M.; Ma, Y.; Scholz, S.; Noguera, D.R.; Donohue, T.J. iNovo479: Metabolic Modeling Provides a Roadmap to Optimize Bioproduct Yield from Deconstructed Lignin Aromatics by Novosphingobium aromaticivorans. Metabolites 2022, 12, 366. https://doi.org/10.3390/metabo12040366

AMA Style

Linz AM, Ma Y, Scholz S, Noguera DR, Donohue TJ. iNovo479: Metabolic Modeling Provides a Roadmap to Optimize Bioproduct Yield from Deconstructed Lignin Aromatics by Novosphingobium aromaticivorans. Metabolites. 2022; 12(4):366. https://doi.org/10.3390/metabo12040366

Chicago/Turabian Style

Linz, Alexandra M., Yanjun Ma, Samuel Scholz, Daniel R. Noguera, and Timothy J. Donohue. 2022. "iNovo479: Metabolic Modeling Provides a Roadmap to Optimize Bioproduct Yield from Deconstructed Lignin Aromatics by Novosphingobium aromaticivorans" Metabolites 12, no. 4: 366. https://doi.org/10.3390/metabo12040366

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