Pseudomonas putida strain:EM42_CP-X
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1172556 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| Other | ||||
| SRR31033117_1.fastq.gz | Fastqsanger.gz | |||
| SRR31033118_1.fastq.gz | Fastqsanger.gz |
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Project description:KaiC is the central cog of the circadian clock in Cyanobacteria. Close homologs of this protein are widespread among bacteria not known to have a circadian physiology. The function, interaction network, and mechanism of action of these KaiC homologs are still largely unknown. Here, we focus on KaiC homologs found in environmental Pseudomonas species. We characterize experimentally the only KaiC homolog present in Pseudomonas putida KT2440 and Pseudomonas protegens CHA0. Through phenotypic assays and transcriptomics, we show that KaiC is involved in osmotic and oxidative stress resistance in P. putida and in biofilm production in both P. putida and P. protegens.
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Project description:Transcription profiling of Pseudomonas putida PP3546 mutant
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Project description:Transcriptome of the wildtype or evolved Pseudomonas putida KT2440
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Project description:The bacterium Pseudomonas putida KT2440 has the ability to reduce selenite forming nanoparticles of elemental selenium. This is the transcriptome of the organism when cultured in the presence of selenite.
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Project description:The entire set of flagellar structural components and flagellar-specific transcriptional regulators, as well as much of the core chemotaxis machinery, is encoded into a >70 kbp cluster in Pseudomonas putida KT2440 genome. We have performed RNA-seq of the wild-type strain in order to identify operon boundaries and promoters location in this cluster.
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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
Project description:Sohn2010 - Genome-scale metabolic network of
Pseudomonas putida (PpuMBEL1071)
This model is described in the article:
In silico genome-scale
metabolic analysis of Pseudomonas putida KT2440 for
polyhydroxyalkanoate synthesis, degradation of aromatics and
anaerobic survival.
Sohn SB, Kim TY, Park JM, Lee
SY.
Biotechnol J 2010 Jul; 5(7):
739-750
Abstract:
Genome-scale metabolic models have been appearing with
increasing frequency and have been employed in a wide range of
biotechnological applications as well as in biological studies.
With the metabolic model as a platform, engineering strategies
have become more systematic and focused, unlike the random
shotgun approach used in the past. Here we present the
genome-scale metabolic model of the versatile Gram-negative
bacterium Pseudomonas putida, which has gained widespread
interest for various biotechnological applications. With the
construction of the genome-scale metabolic model of P. putida
KT2440, PpuMBEL1071, we investigated various characteristics of
P. putida, such as its capacity for synthesizing
polyhydroxyalkanoates (PHA) and degrading aromatics. Although
P. putida has been characterized as a strict aerobic bacterium,
the physiological characteristics required to achieve anaerobic
survival were investigated. Through analysis of PpuMBEL1071,
extended survival of P. putida under anaerobic stress was
achieved by introducing the ackA gene from Pseudomonas
aeruginosa and Escherichia coli.
This model is hosted on
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and identified by:
MODEL1507180043.
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To the extent possible under law, all copyright and related or
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2015-07-30 | MODEL1507180043 | BioModels
Project description:Pseudomonas species have become promising cell factories for the production of natural products due to their inherent robustness. Here, we explored membrane adaptations of Pseudomonas putida KT2440, in particular outer membrane vesicle (OMV) formation in response to 1-octanol, PQS and prodigiosin, causing chemical membrane stress via RNA-seq of mRNA. Pseudomonas putida wild type KT2440 (Nelson et al. 2002) and the derived strains P. putida pig21 were cultivated in biological triplicates under continuous shaking (130 rpm) at 30 °C in 10 mL LB (lysogeny broth) medium (10 g L-1 tryptone, 5 g L-1 yeast extract, 10 g L-1 sodium chloride; Carl Roth®, Karlsruhe, Germany). Antibiotics were added to the culture medium when appropriate to the following final concentrations: 25 µg mL-1 kanamycin, 25 µg mL-1 irgasan, 25 µg mL-1 gentamicin, 50 µg mL-1 tetracycline. For chemical induction of OMV formation, P. putida KT2440 was exposed to 1 mM 1-octanol or 50 µM PQS (Pseudomonas quinolone signal) after reaching the logarithmic growth phase. For transcriptome analysis, cells were cultivated as described above, the cell pellet was harvested after 7 h, adjusted to an optical density (OD700 nm) of 1 and flash frozen . Total RNA was isolated from 3 biological replicates using Quick-RNA Miniprep Plus kit (Zymo Research). The samples were treated with DNase (Zymo Research) and RNA was again purified with an RNA Clean&Concentrator-5 kit (Zymo Research). Ribosomal rRNA was removed with a riboPOOL for bacteria (siTOOLs Biotech GmbH). The purity of RNA and removal of rRNA was then tested with an Agilent RNA Pico 6000 kit and an Agilent 2100 Bioanalyzer (Agilent Technologies). TruSeq Stranded mRNA Sample Preparation guide (Illumina) was then used to construct the cDNA library. The constructed cDNA library was then sequenced with Illumina NextSeq500 high output mode paired end using a read length of 75 bases.
2023-01-09 | E-MTAB-12470 | biostudies-arrayexpress
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: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. cDNA libraries from Pseudomonas supplemented with different carbon sources (glucose, glycerol, fructose, succinate) were sequenced using HiSeq 2000 to yield 91 paired-end reads. Gene expression values were compared.
2013-07-23 | E-GEOD-46491 | biostudies-arrayexpress