In Silico Analysis of Functionalized Hydrocarbon Production Using Ehrlich Pathway and Fatty Acid Derivatives in an Endophytic Fungus

Functionalized hydrocarbons have various ecological and industrial uses, from signaling molecules and antifungal/antibacterial agents to fuels and specialty chemicals. The potential to produce functionalized hydrocarbons using the cellulolytic, endophytic fungus, <i>Ascocoryne sarcoides</i&...

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Main Authors: Kristopher A. Hunt, Natasha D. Mallette, Brent M. Peyton, Ross P. Carlson
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Journal of Fungi
Subjects:
fba
Online Access:https://www.mdpi.com/2309-608X/7/6/435
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spelling doaj-fe74cd1ecf02441ead4bcca46d8e5e1f2021-06-01T01:38:23ZengMDPI AGJournal of Fungi2309-608X2021-05-01743543510.3390/jof7060435In Silico Analysis of Functionalized Hydrocarbon Production Using Ehrlich Pathway and Fatty Acid Derivatives in an Endophytic FungusKristopher A. Hunt0Natasha D. Mallette1Brent M. Peyton2Ross P. Carlson3Center for Biofilm Engineering, Montana State University, Bozeman, MT 59717, USACenter for Biofilm Engineering, Montana State University, Bozeman, MT 59717, USACenter for Biofilm Engineering, Montana State University, Bozeman, MT 59717, USACenter for Biofilm Engineering, Montana State University, Bozeman, MT 59717, USAFunctionalized hydrocarbons have various ecological and industrial uses, from signaling molecules and antifungal/antibacterial agents to fuels and specialty chemicals. The potential to produce functionalized hydrocarbons using the cellulolytic, endophytic fungus, <i>Ascocoryne sarcoides</i>, was quantified using genome-enabled, stoichiometric modeling. In silico analysis identified available routes to produce these hydrocarbons, including both anabolic- and catabolic-associated strategies, and determined correlations between the type and size of the hydrocarbons and culturing conditions. The analysis quantified the limits of the wild-type metabolic network to produce functionalized hydrocarbons from cellulose-based substrates and identified metabolic engineering targets, including cellobiose phosphorylase (CP) and cytosolic pyruvate dehydrogenase complex (PDHcyt). CP and PDHcyt activity increased the theoretical production limits under anoxic conditions where less energy was extracted from the substrate. The incorporation of both engineering targets resulted in near-complete conservation of substrate electrons in functionalized hydrocarbons. The in silico framework was integrated with in vitro fungal batch growth experiments to support O<sub>2</sub> limitation and functionalized hydrocarbon production predictions. The metabolic reconstruction of this endophytic filamentous fungus describes pathways for both specific and general production strategies of 161 functionalized hydrocarbons applicable to many eukaryotic hosts.https://www.mdpi.com/2309-608X/7/6/435endophyteconsolidated bioprocessingefmafbacytosolic pyruvate dehydrogenase
collection DOAJ
language English
format Article
sources DOAJ
author Kristopher A. Hunt
Natasha D. Mallette
Brent M. Peyton
Ross P. Carlson
spellingShingle Kristopher A. Hunt
Natasha D. Mallette
Brent M. Peyton
Ross P. Carlson
In Silico Analysis of Functionalized Hydrocarbon Production Using Ehrlich Pathway and Fatty Acid Derivatives in an Endophytic Fungus
Journal of Fungi
endophyte
consolidated bioprocessing
efma
fba
cytosolic pyruvate dehydrogenase
author_facet Kristopher A. Hunt
Natasha D. Mallette
Brent M. Peyton
Ross P. Carlson
author_sort Kristopher A. Hunt
title In Silico Analysis of Functionalized Hydrocarbon Production Using Ehrlich Pathway and Fatty Acid Derivatives in an Endophytic Fungus
title_short In Silico Analysis of Functionalized Hydrocarbon Production Using Ehrlich Pathway and Fatty Acid Derivatives in an Endophytic Fungus
title_full In Silico Analysis of Functionalized Hydrocarbon Production Using Ehrlich Pathway and Fatty Acid Derivatives in an Endophytic Fungus
title_fullStr In Silico Analysis of Functionalized Hydrocarbon Production Using Ehrlich Pathway and Fatty Acid Derivatives in an Endophytic Fungus
title_full_unstemmed In Silico Analysis of Functionalized Hydrocarbon Production Using Ehrlich Pathway and Fatty Acid Derivatives in an Endophytic Fungus
title_sort in silico analysis of functionalized hydrocarbon production using ehrlich pathway and fatty acid derivatives in an endophytic fungus
publisher MDPI AG
series Journal of Fungi
issn 2309-608X
publishDate 2021-05-01
description Functionalized hydrocarbons have various ecological and industrial uses, from signaling molecules and antifungal/antibacterial agents to fuels and specialty chemicals. The potential to produce functionalized hydrocarbons using the cellulolytic, endophytic fungus, <i>Ascocoryne sarcoides</i>, was quantified using genome-enabled, stoichiometric modeling. In silico analysis identified available routes to produce these hydrocarbons, including both anabolic- and catabolic-associated strategies, and determined correlations between the type and size of the hydrocarbons and culturing conditions. The analysis quantified the limits of the wild-type metabolic network to produce functionalized hydrocarbons from cellulose-based substrates and identified metabolic engineering targets, including cellobiose phosphorylase (CP) and cytosolic pyruvate dehydrogenase complex (PDHcyt). CP and PDHcyt activity increased the theoretical production limits under anoxic conditions where less energy was extracted from the substrate. The incorporation of both engineering targets resulted in near-complete conservation of substrate electrons in functionalized hydrocarbons. The in silico framework was integrated with in vitro fungal batch growth experiments to support O<sub>2</sub> limitation and functionalized hydrocarbon production predictions. The metabolic reconstruction of this endophytic filamentous fungus describes pathways for both specific and general production strategies of 161 functionalized hydrocarbons applicable to many eukaryotic hosts.
topic endophyte
consolidated bioprocessing
efma
fba
cytosolic pyruvate dehydrogenase
url https://www.mdpi.com/2309-608X/7/6/435
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