A Genome-Scale Metabolic Reconstruction of Mycoplasma genitalium, iPS189

被引:105
作者
Suthers, Patrick F. [1 ]
Dasika, Madhukar S. [1 ]
Kumar, Vinay Satish [2 ]
Denisov, Gennady [3 ]
Glass, John I. [3 ]
Maranas, Costas D. [1 ]
机构
[1] Penn State Univ, Dept Chem Engn, University Pk, PA 16802 USA
[2] Penn State Univ, Dept Ind Engn, University Pk, PA 16802 USA
[3] J Craig Venter Inst, Rockville, MD USA
关键词
MINIMAL-GENE-SET; DEFINED MEDIUM; 2-DIMENSIONAL ANNOTATION; FLUX DISTRIBUTIONS; NETWORK; MODEL; FRAMEWORK; BACTERIUM; DATABASE; ENZYME;
D O I
10.1371/journal.pcbi.1000285
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
With a genome size of similar to 580 kb and approximately 480 protein coding regions, Mycoplasma genitalium is one of the smallest known self-replicating organisms and, additionally, has extremely fastidious nutrient requirements. The reduced genomic content of M. genitalium has led researchers to suggest that the molecular assembly contained in this organism may be a close approximation to the minimal set of genes required for bacterial growth. Here, we introduce a systematic approach for the construction and curation of a genome-scale in silico metabolic model for M. genitalium. Key challenges included estimation of biomass composition, handling of enzymes with broad specificities, and the lack of a defined medium. Computational tools were subsequently employed to identify and resolve connectivity gaps in the model as well as growth prediction inconsistencies with gene essentiality experimental data. The curated model, M. genitalium iPS189 (262 reactions, 274 metabolites), is 87% accurate in recapitulating in vivo gene essentiality results for M. genitalium. Approaches and tools described herein provide a roadmap for the automated construction of in silico metabolic models of other organisms.
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页数:14
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共 80 条
[1]   Global organization of metabolic fluxes in the bacterium Escherichia coli [J].
Almaas, E ;
Kovács, B ;
Vicsek, T ;
Oltvai, ZN ;
Barabási, AL .
NATURE, 2004, 427 (6977) :839-843
[2]   Identifying gene targets for the metabolic engineering of lycopene biosynthesis in Escherichia coli [J].
Alper, H ;
Jin, YS ;
Moxley, JF ;
Stephanopoulos, G .
METABOLIC ENGINEERING, 2005, 7 (03) :155-164
[3]   Modeling Neisseria meningitidis metabolism:: from genome to metabolic fluxes [J].
Baart, Gino J. E. ;
Zomer, Bert ;
de Haan, Alex ;
van der Pol, Leo A. ;
Beuvery, E. Coen ;
Tramper, Johannes ;
Martens, Dirk E. .
GENOME BIOLOGY, 2007, 8 (07)
[4]   Genome-scale reconstruction of the metabolic network in Staphylococcus aureus N315: an initial draft to the two-dimensional annotation [J].
Becker, SA ;
Palsson, BO .
BMC MICROBIOLOGY, 2005, 5 (1)
[5]   Three factors underlying incorrect in silico predictions of essential metabolic genes [J].
Becker, Scott A. ;
Palsson, Bernhard O. .
BMC SYSTEMS BIOLOGY, 2008, 2
[6]   THE GLPP AND GLPF GENES OF THE GLYCEROL REGULON IN BACILLUS-SUBTILIS [J].
BEIJER, L ;
NILSSON, RP ;
HOLMBERG, C ;
RUTBERG, L .
JOURNAL OF GENERAL MICROBIOLOGY, 1993, 139 :349-359
[7]   Purine and pyrimidine nucleotide metabolism in mollicutes [J].
Bizarro, Cristiano Valim ;
Schuck, Desiree Cigaran .
GENETICS AND MOLECULAR BIOLOGY, 2007, 30 (01) :190-201
[8]   Errors in genome annotation [J].
Brenner, SE .
TRENDS IN GENETICS, 1999, 15 (04) :132-133
[9]   OptKnock: A bilevel programming framework for identifying gene knockout strategies for microbial strain optimization [J].
Burgard, AP ;
Pharkya, P ;
Maranas, CD .
BIOTECHNOLOGY AND BIOENGINEERING, 2003, 84 (06) :647-657
[10]   Minimal reaction sets for Escherichia coli metabolism under different growth requirements and uptake environments [J].
Burgard, AP ;
Vaidyaraman, S ;
Maranas, CD .
BIOTECHNOLOGY PROGRESS, 2001, 17 (05) :791-797