11 research outputs found
Genome-Scale Reconstruction and Analysis of the Pseudomonas putida KT2440 Metabolic Network Facilitates Applications in Biotechnology
A cornerstone of biotechnology is the use of microorganisms for the efficient
production of chemicals and the elimination of harmful waste.
Pseudomonas putida is an archetype of such microbes due to
its metabolic versatility, stress resistance, amenability to genetic
modifications, and vast potential for environmental and industrial applications.
To address both the elucidation of the metabolic wiring in P.
putida and its uses in biocatalysis, in particular for the production
of non-growth-related biochemicals, we developed and present here a genome-scale
constraint-based model of the metabolism of P. putida KT2440.
Network reconstruction and flux balance analysis (FBA) enabled definition of the
structure of the metabolic network, identification of knowledge gaps, and
pin-pointing of essential metabolic functions, facilitating thereby the
refinement of gene annotations. FBA and flux variability analysis were used to
analyze the properties, potential, and limits of the model. These analyses
allowed identification, under various conditions, of key features of metabolism
such as growth yield, resource distribution, network robustness, and gene
essentiality. The model was validated with data from continuous cell cultures,
high-throughput phenotyping data, 13C-measurement of internal flux
distributions, and specifically generated knock-out mutants. Auxotrophy was
correctly predicted in 75% of the cases. These systematic analyses
revealed that the metabolic network structure is the main factor determining the
accuracy of predictions, whereas biomass composition has negligible influence.
Finally, we drew on the model to devise metabolic engineering strategies to
improve production of polyhydroxyalkanoates, a class of biotechnologically
useful compounds whose synthesis is not coupled to cell survival. The solidly
validated model yields valuable insights into genotype–phenotype
relationships and provides a sound framework to explore this versatile bacterium
and to capitalize on its vast biotechnological potential