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Dynamic modeling of subcellular phenylpropanoid metabolism in Arabidopsis lignifying cells

Journal Article · · Metabolic Engineering
 [1];  [2];  [2];  [2];  [2];  [2]
  1. Purdue Univ., West Lafayette, IN (United States); Davidson School of Chemical Engineering, Purdue University, West Lafayette, IN-47907, USA
  2. Purdue Univ., West Lafayette, IN (United States)
+ Show Author Affiliations
Lignin is a polymer that greatly inhibits saccharification of plant feedstocks. Adjusting the composition or reducing the total lignin content have both been demonstrated to result in an increase in sugar yield from biomass. Yet, because lignin is essential for plant growth, it cannot be manipulated with impunity. Thus, it is important to understand the control of carbon flux towards lignin biosynthesis such that optimal modifications to it can be made precisely. Phenylalanine (Phe) is the common precursor for all lignin subunits and it is commonly accepted that all biosynthetic steps, spanning multiple subcellular compartments, are known, yet an in vivo model of how flux towards lignin is controlled is lacking. To address this deficiency, we formulated and parameterized a kinetic model based on data from feeding Arabidopsis thaliana basal lignifying stems with ring labeled [13C6]-Phe. Several candidate models were compared by an information theoretic approach to select the one that best matched the experimental observations. Here we present a dynamic model of phenylpropanoid metabolism across several subcellular compartments that describes the allocation of carbon towards lignin biosynthesis in wild-type Arabidopsis stems. Flux control coefficients for the enzymes in the pathway starting from arogenate dehydratase through 4-coumarate: CoA ligase were calculated and show that the plastidial cationic amino-acid transporter has the highest impact on flux.
Research Organization:
Purdue Univ., West Lafayette, IN (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23)
Grant/Contract Number:
SC0008628
OSTI ID:
1597087
Alternate ID(s):
OSTI ID: 1538905
OSTI ID: 1548085
Journal Information:
Metabolic Engineering, Journal Name: Metabolic Engineering Journal Issue: C Vol. 49; ISSN 1096-7176
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English

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Cited By (1)

Metabolic flux analysis of secondary metabolism in plants journal June 2020

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09 BIOMASS FUELS
13C isotopic labeling
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Lignin biosynthesis
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