A Caenorhabditis elegans genome-scale metabolic network model
Open accessAbstract
Caenorhabditis elegans is a powerful model to study metabolism and how it relates to nutrition, gene expression, and life history traits. However, while numerous experimental techniques that enable perturbation of its diet and gene function are available, a high-quality metabolic network model has been lacking. Here, we reconstruct an initial version of the C. elegans metabolic network. This network model contains 1,273 genes, 623 enzymes, and 1,985 metabolic reactions and is referred to as iCEL1273. Using flux balance analysis, we show that iCEL1273 is capable of representing the conversion of bacterial biomass into C. elegans biomass during growth and enables the predictions of gene essentiality and other phenotypes. In addition, we demonstrate that gene expression data can be integrated with the model by comparing metabolic rewiring in dauer animals versus growing larvae. iCEL1273 is available at a dedicated website (wormflux.umassmed.edu) and will enable the unraveling of the mechanisms by which different macro- and micronutrients contribute to the animal's physiology.
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Inbred lines have been generated for C. elegans and, recently, metabolic network models became available.
“Inbred lines have been generated for C. elegans (295) and, recently, metabolic network models became available (296, 297).”
From Metabolic Flexibility as an Adaptation to Energy Resources and Requirements in Health and Disease (2018) · cites this paper as [296]
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- Authors
- Yilmaz, L. S., & Walhout, A. J. M.
- Affiliations
- University of Massachusetts Chan Medical School (US)
- Corresponding author
- Yilmaz, L. Safak
- Walhout, Albertha J.M.
- Venue
- Cell Systems
- Publisher
- Elsevier BV
- Published
- 2016-05
- Volume
- 2
- Issue
- 5
- Pages
- 297-311
- ISSN
- 2405-4712 (ISSN-L)
- PMC
- PMC5387690
- OpenAlex
- W2398956125
- Cited by
- 88
- References
- 59
- Citations by year
- 2026: 4 · 2025: 8 · 2024: 8 · 2023: 6 · 2022: 7 · 2021: 11 · 2020: 16 · 2019: 10 · 2018: 8 · 2017: 8 · 2016: 2
- FWCI
- 4.85
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Cell Systems (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- The Journal of the American Medical Association (JAMA) Network (American Medical Association) (submittedVersion)
- Funders
- National Institutes of Health
- National Institute of General Medical Sciences (R21GM108045)
- 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
- Caenorhabditis elegans, genome-scale metabolic networks, metabolic network reconstruction, flux balance analysis, gene essentiality prediction, metabolic reprogramming, dauer larvae, gene expression data integration
- MeSH terms
- Animals, Models, Biological, Phenotype, Caenorhabditis elegans, Biomass, Micronutrients, Caenorhabditis elegans Proteins, Metabolic Networks and Pathways
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