ABSTRACT:
Nogales2008 - Genome-scale metabolic network
of Pseudomonas putida (iJN746)
This model is described in the article:
A genome-scale metabolic
reconstruction of Pseudomonas putida KT2440: iJN746 as a cell
factory.
Nogales J, Palsson BØ, Thiele
I.
BMC Syst Biol 2008; 2: 79
Abstract:
BACKGROUND: Pseudomonas putida is the best studied pollutant
degradative bacteria and is harnessed by industrial
biotechnology to synthesize fine chemicals. Since the
publication of P. putida KT2440's genome, some in silico
analyses of its metabolic and biotechnology capacities have
been published. However, global understanding of the
capabilities of P. putida KT2440 requires the construction of a
metabolic model that enables the integration of classical
experimental data along with genomic and high-throughput data.
The constraint-based reconstruction and analysis (COBRA)
approach has been successfully used to build and analyze in
silico genome-scale metabolic reconstructions. RESULTS: We
present a genome-scale reconstruction of P. putida KT2440's
metabolism, iJN746, which was constructed based on genomic,
biochemical, and physiological information. This
manually-curated reconstruction accounts for 746 genes, 950
reactions, and 911 metabolites. iJN746 captures
biotechnologically relevant pathways, including
polyhydroxyalkanoate synthesis and catabolic pathways of
aromatic compounds (e.g., toluene, benzoate, phenylacetate,
nicotinate), not described in other metabolic reconstructions
or biochemical databases. The predictive potential of iJN746
was validated using experimental data including growth
performance and gene deletion studies. Furthermore, in silico
growth on toluene was found to be oxygen-limited, suggesting
the existence of oxygen-efficient pathways not yet annotated in
P. putida's genome. Moreover, we evaluated the production
efficiency of polyhydroxyalkanoates from various carbon sources
and found fatty acids as the most prominent candidates, as
expected. CONCLUSION: Here we presented the first genome-scale
reconstruction of P. putida, a biotechnologically interesting
all-surrounder. Taken together, this work illustrates the
utility of iJN746 as i) a knowledge-base, ii) a discovery tool,
and iii) an engineering platform to explore P. putida's
potential in bioremediation and bioplastic production.
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Nicolas Le Novère 
