Influence of putative exopolysaccharide genes on Pseudomonas putida KT2440 biofilm stability

We report a study of the role of putative exopolysaccharide gene clusters in the formation and stability of Pseudomonas putida KT2440 biofilm. Two novel putative exopolysaccharide gene clusters, pea and peb, were identified, and evidence is provided that they encode products that stabilize P. putida KT2440 biofilm. The gene clusters alg and bcs, which code for proteins mediating alginate and cellulose biosynthesis, were found to play minor roles in P. putida KT2440 biofilm formation and stability under the conditions tested. A P. putida KT2440 derivative devoid of any identifiable exopolysaccharide genes was found to form biofilm with a structure similar to wild-type biofilm, but with a stability lower than that of wild-type biofilm. Based on our data, we suggest that the formation of structured P. putida KT2440 biofilm can occur in the absence of exopolysaccharides; however, exopolysaccharides play a role as structural stabilizers.     

Pseudomonas putida KT2440 metabolism undergoes sequential modifications during exponential growth in a complete medium as compounds are gradually consumed

Pseudomonas putida is a soil bacterium with a versatile and robust metabolism. When confronted with mixtures of carbon sources, it prioritizes the utilization of the preferred compounds, optimizing metabolism and growth. This response is particularly strong when growing in a complex medium such as LB. This work examines the changes occurring in P. putida KT2440 metabolic fluxes, while it grows exponentially in LB medium and sequentially consumes the compounds available. Integrating the uptake rates for each compound at three different moments during the exponential growth with the changes observed in the proteome, and with the metabolic fluxes predicted by the iJN1411 metabolic model for this strain, allowed the metabolic rearrangements that occurred to be determined. The results indicate that the bacterium changes significantly the configuration of its metabolism during the early, mid and late exponential phases of growth. Sugars served as an energy source during the early phase and later as energy and carbon source. The configuration of the tricarboxylic acids cycle varied during growth, providing no energy in the early phase, and turning to a reductive mode in the mid phase and to an oxidative mode later on. This work highlights the dynamism and flexibility of P. putida metabolism.     

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, (13)C-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.     

Engineering Pseudomonas putida KT2440 for the production of isobutanol

We engineered P. putida for the production of isobutanol from glucose by preventing product and precursor degradation, inactivation of the soluble transhydrogenase SthA, overexpression of the native ilvC and ilvD genes, and implementation of the feedback‐resistant acetolactate synthase AlsS from Bacillus subtilis, ketoacid decarboxylase KivD from Lactococcus lactis, and aldehyde dehydrogenase YqhD from Escherichia coli. The resulting strain P. putida Iso2 produced isobutanol with a substrate specific product yield (Y_Iso/S) of 22 ± 2 mg per gram of glucose under aerobic conditions. Furthermore, we identified the ketoacid decarboxylase from Carnobacterium maltaromaticum to be a suitable alternative for isobutanol production, since replacement of kivD from L. lactis in P. putida Iso2 by the variant from C. maltaromaticum yielded an identical Y_Iso/S. Although P. putida is regarded as obligate aerobic, we show that under oxygen deprivation conditions this bacterium does not grow, remains metabolically active, and that engineered producer strains secreted isobutanol also under the non‐growing conditions.     

Global features of the Pseudomonas putida KT2440 genome sequence

The compositional bias of the G+C, di- and tetranucleotide contents in the 6 181 862 bp Pseudomonas putida KT2440 genome was analysed in sliding windows of 4000 bp in steps of 1000 bp. The genome has a low GC skew (mean 0.066) between the leading and lagging strand. The values of GC contents (mean 61.6%) and of dinucleotide relative abundance exhibit skewed Gaussian distributions. The variance of tetranucleotide frequencies, which increases linearly with increasing GC content, shows two overlapping Gaussian distributions of genome sections with low (minor fraction) or high variance (major fraction). Eighty per cent of the chromosome shares similar GC contents and oligonucleotide bias, but 105 islands of 4000 bp or more show atypical GC contents and/or oligonucleotide signature. Almost all islands provide added value to the metabolic proficiency of P. putida as a saprophytic omnivore. Major features are the uptake and degradation of organic chemicals, ion transport and the synthesis and secretion of secondary metabolites. Other islands endow P. putida with determinants of resistance and defenceor with constituents and appendages of the cell wall. A total of 29 islands carry the signature of mobile elements such as phage, transposons, insertion sequence (IS) elements and group II introns, indicating recent acquisition by horizontal gene transfer. The largest gene carries the most unusual sequence that encodes a multirepeat threonine-rich surface adhesion protein. Among the housekeeping genes, only genes of the translational apparatus were located in segments with an atypical signature, suggesting that the synthesis of ribosomal proteins is uncoupled from the rapidly changing translational demands of the cell by the separate utilization of tRNA pools.     

Production of medium chain length polyhydroxyalkanoate from acetate by engineered Pseudomonas putida KT2440

Journal of Industrial Microbiology & Biotechnology - Pseudomonas putida was metabolically engineered to produce medium chain length polyhydroxyalkanoate (mcl-PHA) from acetate, a promising...     

A genome-scale metabolic reconstruction of Pseudomonas putida KT2440: iJN746 as a cell factory

Background

The study of biological interaction networks is a central theme of systems biology. Here, we investigate the relationships between two distinct types of interaction networks: the metabolic pathway map and the protein-protein interaction network (PIN). It has long been established that successive enzymatic steps are often catalyzed by physically interacting proteins forming permanent or transient multi-enzymes complexes. Inspecting high-throughput PIN data, it was shown recently that, indeed, enzymes involved in successive reactions are generally more likely to interact than other protein pairs. In our study, we expanded this line of research to include comparisons of the underlying respective network topologies as well as to investigate whether the spatial organization of enzyme interactions correlates with metabolic efficiency.

Results

Analyzing yeast data, we detected long-range correlations between shortest paths between proteins in both network types suggesting a mutual correspondence of both network architectures. We discovered that the organizing principles of physical interactions between metabolic enzymes differ from the general PIN of all proteins. While physical interactions between proteins are generally dissortative, enzyme interactions were observed to be assortative. Thus, enzymes frequently interact with other enzymes of similar rather than different degree. Enzymes carrying high flux loads are more likely to physically interact than enzymes with lower metabolic throughput. In particular, enzymes associated with catabolic pathways as well as enzymes involved in the biosynthesis of complex molecules were found to exhibit high degrees of physical clustering. Single proteins were identified that connect major components of the cellular metabolism and may thus be essential for the structural integrity of several biosynthetic systems.

Conclusion

Our results reveal topological equivalences between the protein interaction network and the metabolic pathway network. Evolved protein interactions may contribute significantly towards increasing the efficiency of metabolic processes by permitting higher metabolic fluxes. Thus, our results shed further light on the unifying principles shaping the evolution of both the functional (metabolic) as well as the physical interaction network.     

Combined Physical and Genetic Map of the Pseudomonas putida KT2440 Chromosome

A combined physical and genetic map of the Pseudomonas putida KT2440 genome was constructed from data obtained by pulsed-field gel electrophoresis techniques (PFGE) and Southern hybridization. Circular genome size was estimated at 6.0 Mb by adding the sizes of 19 SwaI, 9 PmeI, 6 PacI, and 6 I-CeuI fragments. A complete physical map was achieved by combining the results of (i) analysis of PFGE of the DNA fragments resulting from digestion of the whole genome with PmeI, SwaI, I-CeuI, and PacI as well as double digestion with combinations of these enzymes and (ii) Southern hybridization analysis of the whole wild-type genome digested with different enzymes and hybridized against a series of probes obtained as cloned genes from different pseudomonads of rRNA group I and Escherichia coli, as P. putida DNA obtained by PCR amplification based on sequences deposited at the GenBank database, and by labeling of macrorestriction fragments of the P. putida genome eluted from agarose gels. As an alternative, 10 random mini-Tn5-Km mutants of P. putida KT2440 were used as a source of DNA, and the band carrying the mini-Tn5 in each mutant was identified after PFGE of a series of complete chromosomal digestions and hybridization with the kanamycin resistance gene of the mini-Tn5 as a probe. We established a circular genome map with an average resolution of 160 kb. Among the 63 genes located on the genetic map were key markers such as oriC, 6 rrn loci (rnnA to -F), recA, ftsZ, rpoS, rpoD, rpoN, and gyrB; auxotrophic markers; and catabolic genes for the metabolism of aromatic compounds. The genetic map of P. putida KT2440 was compared to those of Pseudomonas aeruginosa PAO1 and Pseudomonas fluorescens SBW25. The chromosomal backbone revealed some similarity in gene clustering among the three pseudomonads but differences in physical organization, probably as a result of intraspecific rearrangements.     

A survey of the cellular responses in Pseudomonas putida KT2440 growing in sterilized soil by microarray analysis

Genome-wide scanning of gene expression by microarray techniques was successfully performed on RNA extracted from sterilized soil inoculated with Pseudomonas putida KT2440/pSL1, which contains a chloroaromatic degrading plasmid, in the presence or absence of 3-chlorobenzoic acid (3CB). The genes showing significant changes in their expression in both the triplicate-microarray analysis using amplified RNA and the single-microarray analysis using unamplified RNA were investigated. Pathway analysis revealed that the benzoate degradation pathway underwent the most significant changes following treatment with 3CB. Analysis based on categorization of differentially expressed genes against 3CB revealed new findings about the cellular responses of the bacteria to 3CB. Genes specifically involved in the transport of 3CB were upregulated, including a K(+)/H(+) antiporter complex, a universal stress protein, two cytochrome P450 proteins and an efflux transporter. The downregulated expression of several genes involved in carbon metabolism and the genes belonging to a prophage in the presence of 3CB was observed. This study demonstrated the applicability of the method of soil RNA extraction for microarray analysis of gene expression in bacteria growing in sterilized soil.