Mathematical models of plant metabolism
Open accessAbstract
Among various modeling approaches in plant metabolic research, applications of Constraint-Based modeling are fast increasing in recent years, apparently driven by current advances in genomics and genome sequencing. Constraint-Based modeling, the functional analysis of metabolic networks at the whole cell or genome scale, is more difficult to apply to plants than to microbes. Here we discuss recent developments in Constraint-Based modeling in plants with focus on issues of model reconstruction and flux prediction. Another topic is the emerging application of integration of Constraint-Based modeling with omics data to increase predictive power. Furthermore, advances in experimental measurements of cellular fluxes by (13)C-Metabolic Flux Analysis are highlighted, including instationary (13)C-MFA used to probe autotrophic metabolism in photosynthetic tissue in the light.
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Flux balance analysis is readily scaled to incorporate the entire metabolic system of a cell.
“In contrast, a second modeling approach, flux balance analysis (FBA), is readily scaled to incorporate the entire metabolic system of a cell (Sweetlove and Ratcliffe, 2011; Shi and Schwender, 2016; Gomes de Oliveira Dal’Molin and Nielsen, 2018).”
From Leaf Energy Balance Requires Mitochondrial Respiration and Export of Chloroplast NADPH in the Light (2019) · cites this paper as Shi and Schwender, 2016
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Leaf Energy Balance Requires Mitochondrial Respiration and Export of Chloroplast NADPH in the Light
Shameer, S., Ratcliffe, R. G., & Sweetlove, L. J. (2019) · Plant Physiology · doi:10.1104/pp.19.00624 · Cited by 118 · see citing works
- Authors
- Shi, H., & Schwender, J.
- Affiliations
- Brookhaven National Laboratory (US)
- Corresponding author
- Schwender, Jörg
- Venue
- Current Opinion in Biotechnology
- Publisher
- Elsevier BV
- Published
- 2016-02
- Volume
- 37
- Pages
- 143-152
- ISSN
- 0958-1669 (ISSN-L)
- OpenAlex
- W2205015584
- Cited by
- 21
- References
- 7
- Citations by year
- 2026: 1 · 2025: 2 · 2023: 1 · 2022: 2 · 2021: 2 · 2020: 3 · 2019: 2 · 2018: 2 · 2017: 4 · 2016: 2
- FWCI
- 0.26
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- www.elsevier.com/open-access/userlicense/1.0/ (am, 325 d)
- doi.org/10.15223/policy-017 (stm-asf)
- doi.org/10.15223/policy-037 (stm-asf)
- doi.org/10.15223/policy-012 (stm-asf)
- doi.org/10.15223/policy-029 (stm-asf)
- doi.org/10.15223/policy-004 (stm-asf)
- Locations
- Current Opinion in Biotechnology (acceptedVersion)
- PubMed (publishedVersion)
- OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion)
- Funders
- US Department of Energy (DEAC0298CH10886)
- Laboratory Directed Research and Development program (LDRD)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Microbial Metabolic Engineering and Bioproduction
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene Regulatory Network Analysis
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
- Keywords
- plant metabolism, constraint-based modeling, metabolic network reconstruction, flux prediction, multi-omics integration, 13C metabolic flux analysis, autotrophic metabolism, photosynthesis, genome-scale metabolic models
- MeSH terms
- Models, Biological, Models, Theoretical, Photosynthesis, Plants, Genome, Plant, Metabolic Networks and Pathways, Metabolic Flux Analysis
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