Similar Datasets
Project description:Microbial-upcycling of polyamides using engineered Pseudomonas putida
| PRJNA1026527 | ENA
Project description:Pseudomonas putida KT2440 is a well-known model organism for the medium chain length (mcl) PHA accumulation. (R)-Specific enoyl-coenzyme A hydratase (PhaJ) was considered to be the main supplier of monomers for PHA synthesis by converting the -oxidation intermediate, trans-2-enoyl-CoA to (R)-3-hydroxyacyl-CoA when fatty acids (FA) are used. Three PhaJ homologues, PhaJ1, PhaJ4 and MaoC are annotated in P. putida KT2440. To investigate the relationship of fatty acids - PHA metabolism and the role of each PhaJ in PHA biosynthesis in P. putida KT2440, a series of P. putida KT2440 knockouts was obtained. PHA content and monomer composition in WT and mutants under different growth conditions were analysed. However, when all three PhaJ homologues were deleted, the mutant still accumulated PHA up to 10.7 % of the cell dry weight (CDW). To identify other potential PHA monomer suppliers by analysing the proteome of the phaJ1maoCphaJ4. The deletion of (R)-3-hydroxydecanoyl-ACP:CoA transacylase (PhaG), which connects de novo FA and PHA synthesis pathways, while causing further 1.8-fold decrease in PHA content, did not abolish PHA accumulation. Further proteome analysis revealed quinoprotein alcohol dehydrogeanses PedE and PedH as potential monomer suppliers, but when these were deleted PHA level remained at 2.2 – 14.8 % CDW depending on the fatty acid used, and whether nitrogen limitation was applied. To identify the other non-specific dehydrogenases supply monomers for PHA synthesis, we analysed the proteome of the sextuple mutant under nitrogen limiting and non-limiting conditions.
2023-05-10 | PXD037937 | Pride
Project description:We report the transcriptomic profiles of 2 different Pseudomonas putida derivatives when they are grown in MME medium supplemented with either ammonium or nitrate as the sole nitrogen source. Expression of both heterologous and native genes are examined.
2021-01-12 | GSE147420 | GEO
Project description:This dataset has been used to establish GroEL-proteotyping, a targeted proteotyping approach for assessing bacterial community compositions using the taxonomic marker protein GroEL. This dataset contains raw data of two experiments: 1. Pure cultures of T. aromatica (sample names: TA, TB, TC) and P. putida (sample names: PA, PB, PC) were analyzed individually after in-solution digestion 2. T. aromatica and P. putida were cultivated independently and crude extracts were mixed in defined ratios. GroEL was pre-separated by SDS-PAGE (sample names: LOD_..., in-gel digestion)
2023-10-27 | PXD046460 | Pride
Project description:Pseudomonas putida KT2440 is a well-known model organism for the medium chain length (mcl) PHA accumulation. (R)-Specific enoyl-coenzyme A hydratase (PhaJ) was considered to be the main supplier of monomers for PHA synthesis by converting the -oxidation intermediate, trans-2-enoyl-CoA to (R)-3-hydroxyacyl-CoA when fatty acids (FA) are used. Three PhaJ homologues, PhaJ1, PhaJ4 and MaoC are annotated in P. putida KT2440. To investigate the relationship of fatty acids - PHA metabolism and the role of each PhaJ in PHA biosynthesis in P. putida KT2440, a series of P. putida KT2440 knockouts was obtained. PHA content and monomer composition in WT and mutants under different growth conditions were analysed. However, when all three PhaJ homologues were deleted, the mutant still accumulated PHA up to 10.7 % of the cell dry weight (CDW). To identify other potential PHA monomer suppliers by analysing the proteome of the phaJ1maoCphaJ4. The proteomes of the WT, phaJ1phaJ4 and phaJ1maoCphaJ4 strains in MSM medium with octanoate under nitrogen limited condition were detected. In addition, we found that the deletion of PhaJ1 in P. putida KT2440 has a negative impact on the PHA accumulation in cells cultivated on glucose with nitrogen limitation conditions. It seems PhaJ1 also mediates the synthesis of PHA when glucose was used as the carbon and energy source. To investigate the role of PhaJ1 in PHA accumulation with glucose, the proteomes of P. putida KT2440 wild type, phaJ1, phaJ1phaJ4 and phaJ1maoCphaJ4 mutant growing on glucose were detected and compared.
2023-05-10 | PXD037932 | Pride
Project description:We used Progenika oligonucleotide arrays to monitor the gene expression after cold shock from 30°C to 10°C. The 10°C samples of the P. putida wild type were compared to those of the respective P. putida KT2440 Tn5 mutants affected in either cbrA (PP4695), cbrB (PP4696), pcnB (PP4697), vacB (PP4880) or bipA (PP5044).
2014-02-01 | GSE28257 | GEO
Project description:This dataset is a part of putidaPRECISE321, which was utilized to unveil the trnascriptional regulatory network of Pseudomonas putida KT244. Bacterial gene expression is orchestrated by numerous transcription factors (TFs). Elucidating how gene expression is regulated is fundamental to understanding bacterial physiology and engineering it for practical use. In this study, a machine-learning approach was applied to uncover the genome-scale transcriptional regulatory network (TRN) in Pseudomonas putida, an important organism for bioproduction. We performed independent component analysis of a compendium of 321 high-quality gene expression profiles, which were previously published or newly generated in this study. We identified 84 groups of independently modulated genes (iModulons) that explain 75.7% of the total variance in the compendium. With these iModulons, we (i) expand our understanding of the regulatory functions of 39 iModulon associated TFs (e.g., HexR, Zur) by systematic comparison with 1,993 previously reported TF-gene interactions; (ii) outline transcriptional changes after the transition from the exponential growth to stationary phases; (iii) capture group of genes required for utilizing diverse carbon sources and increased stationary response with slower growth rates; (iv) unveil multiple evolutionary strategies of transcriptome reallocation to achieve fast growth rates; and (v) define an osmotic stimulon, which includes the Type VI secretion system, as coordination of multiple iModulon activity changes. Taken together, this study provides the first quantitative genome-scale TRN for P. putida and a basis for a comprehensive understanding of its complex transcriptome changes in a variety of physiological states.
2022-04-28 | GSE198395 | GEO
Project description:Transcriptional profiling of P. putida KT2440 cells comparing control untreated cells with 1 mM indole treated cells
2012-10-02 | GSE41254 | GEO
Project description:Pseudomonas putida KT2440 is a metabolically versatile soil bacterium useful both as a model biodegradative organism and as a host of catalytic activities of biotechnological interest. In this report, we present the high-resolution transcriptome of P. putida grown in different carbon sources as revealed by deep sequencing of the corresponding RNA pools. Examination of the data from growth on glycolytic (glucose, fructose) and gluconeogenic (succinate or glycerol) substrates revealed that > 20% of the P. putida genome is differentially expressed depending on the ensuing metabolic regime. Changes affected not only metabolic genes but also a suite of global regulators, e.g. the rpoS sigma subunit of RNAP, various cold-shock proteins and the three HU histone-like proteins. Specifically, the genes encoding HU subunit variants hupA, hupB and hupN drastically altered their expression levels (and thus their ability to form heterodimeric combinations) under the different growth conditions. Furthermore, we found that the two small RNAs crcZ and crcY, known to inhibit the Crc protein that mediates catabolite repression in P. putida, were both down-regulated by glucose.
2013-07-23 | GSE46491 | GEO
Project description:Gene expression patterns of the plant colonizing bacterium,Pseudomonas putida KT2440 were evaluated as a function of growth in the Arabidopsis thaliana rhizosphere. Gene expression in rhizosphere grown P. putida cells was compared to gene expression in non-rhizosphere grown cells. Keywords: Gene expression
2008-01-11 | GSE9005 | GEO