The Flavonoid Pathway in Tomato Seedlings: Transcript Abundance and the Modeling of Metabolite Dynamics

Flavonoids are secondary metabolites present in all terrestrial plants. The flavonoid pathway has been extensively studied, and many of the involved genes and metabolites have been described in the literature. Despite this extensive knowledge, the functioning of the pathway in vivo is still poorly understood. Here, we study the flavonoid pathway using both experiments and mathematical models. We measured flavonoid metabolite dynamics in two tissues, hypocotyls and cotyledons, during tomato seedling development. Interestingly, the same backbone of interactions leads to very different accumulation patterns in the different tissues. Initially, we developed a mathematical model with constant enzyme concentrations that described the metabolic networks separately in both tissues. This model was unable to fit the measured flavonoid dynamics in the hypocotyls, even if we allowed unrealistic parameter values. This suggested us to investigate the effect of transcript abundance on flavonoid accumulation. We found that the expression of candidate flavonoid genes varies considerably with time. Variation in transcript abundance results in enzymatic variation, which could have a large effect on metabolite accumulation. Candidate transcript abundance was included in the mathematical model as representative for enzyme concentration. We fitted the resulting model to the flavonoid dynamics in the cotyledons, and tested it by applying it to the data from hypocotyls. When transcript abundance is included, we are indeed able to explain flavonoid dynamics in both tissues. Importantly, this is possible under the biologically relevant restriction that the enzymatic properties estimated by the model are conserved between the tissues.

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Main Authors: Groenenboom, M., Gomez-Roldan, V., Stigter, J.D., Astola, L., van Daelen, R., Beekwilder, M.J., Bovy, A.G., Hall, R.D., Molenaar, J.
Format: Article/Letter to editor biblioteca
Language:English
Subjects:accumulation, arabidopsis seedlings, biosynthesis, enzymes, evolution, fruit, gene-expression, plants, systems biology,
Online Access:https://research.wur.nl/en/publications/the-flavonoid-pathway-in-tomato-seedlings-transcript-abundance-an
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spelling dig-wur-nl-wurpubs-4417702025-01-10 Groenenboom, M. Gomez-Roldan, V. Stigter, J.D. Astola, L. van Daelen, R. Beekwilder, M.J. Bovy, A.G. Hall, R.D. Molenaar, J. Article/Letter to editor PLoS ONE 8 (2013) 7 ISSN: 1932-6203 The Flavonoid Pathway in Tomato Seedlings: Transcript Abundance and the Modeling of Metabolite Dynamics 2013 Flavonoids are secondary metabolites present in all terrestrial plants. The flavonoid pathway has been extensively studied, and many of the involved genes and metabolites have been described in the literature. Despite this extensive knowledge, the functioning of the pathway in vivo is still poorly understood. Here, we study the flavonoid pathway using both experiments and mathematical models. We measured flavonoid metabolite dynamics in two tissues, hypocotyls and cotyledons, during tomato seedling development. Interestingly, the same backbone of interactions leads to very different accumulation patterns in the different tissues. Initially, we developed a mathematical model with constant enzyme concentrations that described the metabolic networks separately in both tissues. This model was unable to fit the measured flavonoid dynamics in the hypocotyls, even if we allowed unrealistic parameter values. This suggested us to investigate the effect of transcript abundance on flavonoid accumulation. We found that the expression of candidate flavonoid genes varies considerably with time. Variation in transcript abundance results in enzymatic variation, which could have a large effect on metabolite accumulation. Candidate transcript abundance was included in the mathematical model as representative for enzyme concentration. We fitted the resulting model to the flavonoid dynamics in the cotyledons, and tested it by applying it to the data from hypocotyls. When transcript abundance is included, we are indeed able to explain flavonoid dynamics in both tissues. Importantly, this is possible under the biologically relevant restriction that the enzymatic properties estimated by the model are conserved between the tissues. en application/pdf https://research.wur.nl/en/publications/the-flavonoid-pathway-in-tomato-seedlings-transcript-abundance-an 10.1371/journal.pone.0068960 https://edepot.wur.nl/266333 accumulation arabidopsis seedlings biosynthesis enzymes evolution fruit gene-expression plants systems biology Wageningen University & Research
institution WUR NL
collection DSpace
country Países bajos
countrycode NL
component Bibliográfico
access En linea
databasecode dig-wur-nl
tag biblioteca
region Europa del Oeste
libraryname WUR Library Netherlands
language English
topic accumulation
arabidopsis seedlings
biosynthesis
enzymes
evolution
fruit
gene-expression
plants
systems biology
accumulation
arabidopsis seedlings
biosynthesis
enzymes
evolution
fruit
gene-expression
plants
systems biology
spellingShingle accumulation
arabidopsis seedlings
biosynthesis
enzymes
evolution
fruit
gene-expression
plants
systems biology
accumulation
arabidopsis seedlings
biosynthesis
enzymes
evolution
fruit
gene-expression
plants
systems biology
Groenenboom, M.
Gomez-Roldan, V.
Stigter, J.D.
Astola, L.
van Daelen, R.
Beekwilder, M.J.
Bovy, A.G.
Hall, R.D.
Molenaar, J.
The Flavonoid Pathway in Tomato Seedlings: Transcript Abundance and the Modeling of Metabolite Dynamics
description Flavonoids are secondary metabolites present in all terrestrial plants. The flavonoid pathway has been extensively studied, and many of the involved genes and metabolites have been described in the literature. Despite this extensive knowledge, the functioning of the pathway in vivo is still poorly understood. Here, we study the flavonoid pathway using both experiments and mathematical models. We measured flavonoid metabolite dynamics in two tissues, hypocotyls and cotyledons, during tomato seedling development. Interestingly, the same backbone of interactions leads to very different accumulation patterns in the different tissues. Initially, we developed a mathematical model with constant enzyme concentrations that described the metabolic networks separately in both tissues. This model was unable to fit the measured flavonoid dynamics in the hypocotyls, even if we allowed unrealistic parameter values. This suggested us to investigate the effect of transcript abundance on flavonoid accumulation. We found that the expression of candidate flavonoid genes varies considerably with time. Variation in transcript abundance results in enzymatic variation, which could have a large effect on metabolite accumulation. Candidate transcript abundance was included in the mathematical model as representative for enzyme concentration. We fitted the resulting model to the flavonoid dynamics in the cotyledons, and tested it by applying it to the data from hypocotyls. When transcript abundance is included, we are indeed able to explain flavonoid dynamics in both tissues. Importantly, this is possible under the biologically relevant restriction that the enzymatic properties estimated by the model are conserved between the tissues.
format Article/Letter to editor
topic_facet accumulation
arabidopsis seedlings
biosynthesis
enzymes
evolution
fruit
gene-expression
plants
systems biology
author Groenenboom, M.
Gomez-Roldan, V.
Stigter, J.D.
Astola, L.
van Daelen, R.
Beekwilder, M.J.
Bovy, A.G.
Hall, R.D.
Molenaar, J.
author_facet Groenenboom, M.
Gomez-Roldan, V.
Stigter, J.D.
Astola, L.
van Daelen, R.
Beekwilder, M.J.
Bovy, A.G.
Hall, R.D.
Molenaar, J.
author_sort Groenenboom, M.
title The Flavonoid Pathway in Tomato Seedlings: Transcript Abundance and the Modeling of Metabolite Dynamics
title_short The Flavonoid Pathway in Tomato Seedlings: Transcript Abundance and the Modeling of Metabolite Dynamics
title_full The Flavonoid Pathway in Tomato Seedlings: Transcript Abundance and the Modeling of Metabolite Dynamics
title_fullStr The Flavonoid Pathway in Tomato Seedlings: Transcript Abundance and the Modeling of Metabolite Dynamics
title_full_unstemmed The Flavonoid Pathway in Tomato Seedlings: Transcript Abundance and the Modeling of Metabolite Dynamics
title_sort flavonoid pathway in tomato seedlings: transcript abundance and the modeling of metabolite dynamics
url https://research.wur.nl/en/publications/the-flavonoid-pathway-in-tomato-seedlings-transcript-abundance-an
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