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Bottom-up Metabolic Reconstruction of Arabidopsis and Its Application to Determining the Metabolic Costs of Enzyme Production
Open accessAbstract
Large-scale modeling of plant metabolism provides the possibility to compare and contrast different cellular and environmental scenarios with the ultimate aim of identifying the components underlying the respective plant behavior. The existing models of Arabidopsis (Arabidopsis thaliana) are top-down assembled, whereby the starting point is the annotated genome, in particular, the metabolic genes. Hence, dead-end metabolites and blocked reactions can arise that are subsequently addressed by using gap-filling algorithms in combination with species-unspecific genes. Here, we present a bottom-up-assembled, large-scale model that relies solely on Arabidopsis-specific annotations and results in the inclusion of only manually curated reactions. While the existing models are largely condition unspecific by employing a single biomass reaction, we provide three biomass compositions that pertain to realistic and frequently examined scenarios: carbon-limiting, nitrogen-limiting, and optimal growth conditions. The comparative analysis indicates that the proposed Arabidopsis core model exhibits comparable efficiency in carbon utilization and flexibility to the existing network alternatives. Moreover, the model is utilized to quantify the energy demand of amino acid and enzyme de novo synthesis in photoautotrophic growth conditions. Illustrated by the case of the most abundant protein in the world, Rubisco, we determine its synthesis cost in terms of ATP requirements. This, in turn, allows us to explore the tradeoff between protein synthesis and growth in Arabidopsis. Altogether, the model provides a solid basis for completely species-specific integration of high-throughput data, such as gene expression levels, and for condition-specific investigations of in silico metabolic engineering strategies.
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“A number of studies have applied FBA to C3 leaf metabolism (de Oliveira Dal’Molin et al., 2010, 2016; Poolman et al., 2013, 2014; Arnold and Nikoloski, 2014; Cheung et al., 2014, 2015; Lakshmanan et al., 2015)”
From Leaf Energy Balance Requires Mitochondrial Respiration and Export of Chloroplast NADPH in the Light (2019) · cites this paper as Arnold and Nikoloski, 2014
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Systematic comparison of local approaches for isotopically nonstationary metabolic flux analysis
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Self-citationIdentification of flux trade-offs in metabolic networks
Hashemi, S., Razaghi‐Moghadam, Z., & Nikoloski, Z. (2021) · Scientific Reports · doi:10.1038/s41598-021-03224-9 · Cited by 7
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The unraveling of balanced complexes in metabolic networks
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Metadata
- Authors
- Arnold, A., & Nikoloski, Z.
- Affiliations
- Max Planck Institute of Molecular Plant Physiology (DE)
- Venue
- Plant Physiology
- Publisher
- Oxford University Press (OUP)
- Published
- 2014-05-07
- Volume
- 165
- Issue
- 3
- Pages
- 1380-1391
- ISSN
- 0032-0889 (ISSN-L)
- 1532-2548
- PMC
- PMC4081344
- OpenAlex
- W2055280476
- Cited by
- 131
- References
- 62
- Citations by year
- 2026: 5 · 2025: 14 · 2024: 7 · 2023: 18 · 2022: 7 · 2021: 18 · 2020: 11 · 2019: 10 · 2018: 13 · 2017: 5 · 2016: 8 · 2015: 10 · 2014: 5
- FWCI
- 3.83
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- PLANT PHYSIOLOGY (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Max Planck Digital Library (submittedVersion)
- MPG.PuRe (Max Planck Society) (submittedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Microbial Metabolic Engineering and Bioproduction
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene Regulatory Network Analysis
- Keywords
- Arabidopsis thaliana, biomass composition, carbon limitation, nitrogen limitation, photoautotrophic growth, ATP requirement, metabolic engineering
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