Structural analyses of a hypothetical minimal metabolism - PubMed (original) (raw)
Structural analyses of a hypothetical minimal metabolism
Toni Gabaldón et al. Philos Trans R Soc Lond B Biol Sci. 2007.
Abstract
By integrating data from comparative genomics and large-scale deletion studies, we previously proposed a minimal gene set comprising 206 protein-coding genes. To evaluate the consistency of the metabolism encoded by such a minimal genome, we have carried out a series of computational analyses. Firstly, the topology of the minimal metabolism was compared with that of the reconstructed networks from natural bacterial genomes. Secondly, the robustness of the metabolic network was evaluated by simulated mutagenesis and, finally, the stoichiometric consistency was assessed by automatically deriving the steady-state solutions from the reaction set. The results indicated that the proposed minimal metabolism presents stoichiometric consistency and that it is organized as a complex power-law network with topological parameters falling within the expected range for a natural metabolism of its size. The robustness analyses revealed that most random mutations do not alter the topology of the network significantly, but do cause significant damage by preventing the synthesis of several compounds or compromising the stoichiometric consistency of the metabolism. The implications that these results have on the origins of metabolic complexity and the theoretical design of an artificial minimal cell are discussed.
Figures
Figure 1
A simplified overview of the metabolic network implemented by a hypothetical minimal genome of 208 protein-coding genes derived by an integrated approach (modified from Gil et al. 2004). Names of substrates freely available for the hypothetical minimal cell are represented inside a frame. Two sink metabolites are labelled in grey. Coenzyme metabolism (except the folate metabolism linked to TTP biosynthesis) is shown in the inset and was not considered in the stoichiometric analysis. Wider arrows in the glycolytic pathway indicate the two steps where ATP is synthesized by substrate-level phosphorylation.
Figure 2
Effect of network size on the deviation of the clustering coefficient from the expected random scenario.
Figure 3
Network damage analysis for the minimal metabolic network. Frequency of deletions causing a given network damage (d), measured as the number of metabolites whose synthesis is prevented by that mutation.
Figure 4
Elementary flux modes (EFM) as a function of the ES. v i Represents denormalized rate of the subset i at every EFM. The input (Ji) and output (Jo) fluxes involved in each ES are also indicated.
Figure 5
The new ES emerging as a consequence of deleting the NDK5 reaction. See table 2 for abbreviations.
Similar articles
- Regularizing capacity of metabolic networks.
Marr C, Müller-Linow M, Hütt MT. Marr C, et al. Phys Rev E Stat Nonlin Soft Matter Phys. 2007 Apr;75(4 Pt 1):041917. doi: 10.1103/PhysRevE.75.041917. Epub 2007 Apr 26. Phys Rev E Stat Nonlin Soft Matter Phys. 2007. PMID: 17500931 - Comparing methods for metabolic network analysis and an application to metabolic engineering.
Tomar N, De RK. Tomar N, et al. Gene. 2013 May 25;521(1):1-14. doi: 10.1016/j.gene.2013.03.017. Epub 2013 Mar 26. Gene. 2013. PMID: 23537990 Review. - Quantitative prediction of cellular metabolism with constraint-based models: the COBRA Toolbox.
Becker SA, Feist AM, Mo ML, Hannum G, Palsson BØ, Herrgard MJ. Becker SA, et al. Nat Protoc. 2007;2(3):727-38. doi: 10.1038/nprot.2007.99. Nat Protoc. 2007. PMID: 17406635 - Structural comparison of metabolic networks in selected single cell organisms.
Zhu D, Qin ZS. Zhu D, et al. BMC Bioinformatics. 2005 Jan 14;6:8. doi: 10.1186/1471-2105-6-8. BMC Bioinformatics. 2005. PMID: 15649332 Free PMC article. - The powerful law of the power law and other myths in network biology.
Lima-Mendez G, van Helden J. Lima-Mendez G, et al. Mol Biosyst. 2009 Dec;5(12):1482-93. doi: 10.1039/b908681a. Epub 2009 Oct 2. Mol Biosyst. 2009. PMID: 20023717 Review.
Cited by
- Catalytic promiscuity in the RNA World may have aided the evolution of prebiotic metabolism.
Vörös D, Könnyű B, Czárán T. Vörös D, et al. PLoS Comput Biol. 2021 Jan 26;17(1):e1008634. doi: 10.1371/journal.pcbi.1008634. eCollection 2021 Jan. PLoS Comput Biol. 2021. PMID: 33497378 Free PMC article. - The Metabolic Building Blocks of a Minimal Cell.
Reyes-Prieto M, Gil R, Llabrés M, Palmer-Rodríguez P, Moya A. Reyes-Prieto M, et al. Biology (Basel). 2020 Dec 24;10(1):5. doi: 10.3390/biology10010005. Biology (Basel). 2020. PMID: 33374107 Free PMC article. - Natural selection drove metabolic specialization of the chromatophore in Paulinella chromatophora.
Valadez-Cano C, Olivares-Hernández R, Resendis-Antonio O, DeLuna A, Delaye L. Valadez-Cano C, et al. BMC Evol Biol. 2017 Apr 14;17(1):99. doi: 10.1186/s12862-017-0947-6. BMC Evol Biol. 2017. PMID: 28410570 Free PMC article. - A novel proposal of a simplified bacterial gene set and the neo-construction of a general minimized metabolic network.
Ye YN, Ma BG, Dong C, Zhang H, Chen LL, Guo FB. Ye YN, et al. Sci Rep. 2016 Oct 7;6:35082. doi: 10.1038/srep35082. Sci Rep. 2016. PMID: 27713529 Free PMC article. - Synthetic transitions: towards a new synthesis.
Solé R. Solé R. Philos Trans R Soc Lond B Biol Sci. 2016 Aug 19;371(1701):20150438. doi: 10.1098/rstb.2015.0438. Philos Trans R Soc Lond B Biol Sci. 2016. PMID: 27431516 Free PMC article. Review.
References
- Albert R, Barabási A.L. Statistical mechanics of complex networks. Rev. Mod. Phys. 2002;74:47–97. doi:10.1103/RevModPhys.74.47 - DOI
- Arita M. The metabolic world of Escherichia coli is not small. Proc. Natl Acad. Sci. USA. 2004;101:1543–1547. doi:10.1073/pnas.0306458101 - DOI - PMC - PubMed
- Boeneman K, Crooke E. Chromosomal replication and the cell membrane. Curr. Opin. Microbiol. 2005;8:143–148. doi:10.1016/j.mib.2005.02.006 - DOI - PubMed
- Broder A, Kumar R, Maghoul F, Raghavan P, Rajagopalan S, Stata R, Tomkins A, Wiener J. Graph structure in the web. Comput. Netw. 2000;33:309–320. doi:10.1016/S1389-1286(00)00083-9 - DOI
- de Duve C. Cambridge University Press; Cambridge, UK: 2005. Singularities. Landmarks on the pathways of life.
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources