Integrative Modeling of Gene Expression and Metabolic Networks of
dynamic modeling
fatty acids
gene expression
metabolic networks
plant embryo
Journal
Frontiers in plant science
ISSN: 1664-462X
Titre abrégé: Front Plant Sci
Pays: Switzerland
ID NLM: 101568200
Informations de publication
Date de publication:
2021
2021
Historique:
received:
17
12
2020
accepted:
11
03
2021
entrez:
23
4
2021
pubmed:
24
4
2021
medline:
24
4
2021
Statut:
epublish
Résumé
Fatty acids in crop seeds are a major source for both vegetable oils and industrial applications. Genetic improvement of fatty acid composition and oil content is critical to meet the current and future demands of plant-based renewable seed oils. Addressing this challenge can be approached by network modeling to capture key contributors of seed metabolism and to identify underpinning genetic targets for engineering the traits associated with seed oil composition and content. Here, we present a dynamic model, using an Ordinary Differential Equations model and integrated time-course gene expression data, to describe metabolic networks during
Identifiants
pubmed: 33889166
doi: 10.3389/fpls.2021.642938
pmc: PMC8056077
doi:
Types de publication
Journal Article
Langues
eng
Pagination
642938Informations de copyright
Copyright © 2021 Cloutier, Xiang, Gao, Kochian, Zou, Datla and Wang.
Déclaration de conflit d'intérêts
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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