Frontiers in metabolic reconstruction and modeling of plant genomes
- PMID: 22238452
- DOI: 10.1093/jxb/err371
Frontiers in metabolic reconstruction and modeling of plant genomes
Abstract
A major goal of post-genomic biology is to reconstruct and model in silico the metabolic networks of entire organisms. Work on bacteria is well advanced, and is now under way for plants and other eukaryotes. Genome-scale modelling in plants is much more challenging than in bacteria. The challenges come from features characteristic of higher organisms (subcellular compartmentation, tissue differentiation) and also from the particular severity in plants of a general problem: genome content whose functions remain undiscovered. This problem results in thousands of genes for which no function is known ('undiscovered genome content') and hundreds of enzymatic and transport functions for which no gene is yet identified. The severity of the undiscovered genome content problem in plants reflects their genome size and complexity. To bring the challenges of plant genome-scale modelling into focus, we first summarize the current status of plant genome-scale models. We then highlight the challenges - and ways to address them - in three areas: identifying genes for missing processes, modelling tissues as opposed to single cells, and finding metabolic functions encoded by undiscovered genome content. We also discuss the emerging view that a significant fraction of undiscovered genome content encodes functions that counter damage to metabolites inflicted by spontaneous chemical reactions or enzymatic mistakes.
Similar articles
-
Pathways and fluxes: exploring the plant metabolic network.J Exp Bot. 2012 Mar;63(6):2243-6. doi: 10.1093/jxb/ers073. Epub 2012 Mar 9. J Exp Bot. 2012. PMID: 22407647
-
Principal transcriptional regulation and genome-wide system interactions of the Asp-family and aromatic amino acid networks of amino acid metabolism in plants.Amino Acids. 2010 Oct;39(4):1023-8. doi: 10.1007/s00726-010-0566-7. Epub 2010 Apr 4. Amino Acids. 2010. PMID: 20364431
-
Genome-scale models of plant metabolism.Methods Mol Biol. 2014;1083:213-30. doi: 10.1007/978-1-62703-661-0_13. Methods Mol Biol. 2014. PMID: 24218218
-
The evolution of plant genomes: scaling up from a population perspective.Curr Opin Genet Dev. 2008 Dec;18(6):565-70. doi: 10.1016/j.gde.2008.11.005. Epub 2009 Jan 7. Curr Opin Genet Dev. 2008. PMID: 19131240 Review.
-
Plant genome-scale metabolic reconstruction and modelling.Curr Opin Biotechnol. 2013 Apr;24(2):271-7. doi: 10.1016/j.copbio.2012.08.007. Epub 2012 Sep 1. Curr Opin Biotechnol. 2013. PMID: 22947602 Review.
Cited by
-
Teleological role of L-2-hydroxyglutarate dehydrogenase in the kidney.Dis Model Mech. 2020 Nov 27;13(11):dmm045898. doi: 10.1242/dmm.045898. Dis Model Mech. 2020. PMID: 32928875 Free PMC article.
-
Integration of a constraint-based metabolic model of Brassica napus developing seeds with (13)C-metabolic flux analysis.Front Plant Sci. 2014 Dec 19;5:724. doi: 10.3389/fpls.2014.00724. eCollection 2014. Front Plant Sci. 2014. PMID: 25566296 Free PMC article.
-
Environment-coupled models of leaf metabolism.Biochem Soc Trans. 2021 Feb 26;49(1):119-129. doi: 10.1042/BST20200059. Biochem Soc Trans. 2021. PMID: 33492365 Free PMC article. Review.
-
The carotenoid biosynthetic pathway: thinking in all dimensions.Plant Sci. 2013 Jul;208:58-63. doi: 10.1016/j.plantsci.2013.03.012. Epub 2013 Mar 27. Plant Sci. 2013. PMID: 23683930 Free PMC article. Review.
-
Computational approaches for understanding energy metabolism.Wiley Interdiscip Rev Syst Biol Med. 2013 Nov-Dec;5(6):733-50. doi: 10.1002/wsbm.1238. Epub 2013 Jul 29. Wiley Interdiscip Rev Syst Biol Med. 2013. PMID: 23897661 Free PMC article. Review.
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources