Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Expression data from Pseudomonas putida KT2440 (RNA-Seq data)

ABSTRACT: We used cDNA generated from total mRNA for RNA-Seq analysis (Genome Analyzer II at GATC Biotech AG) to monitore the gene expression of P. putida after a cold shock from 30M-BM-0C to 10M-BM-0C Culture was grown in minimal medium supplemented with succinate at 30M-BM-0C. In mid-exp. phase cells were harvested for subsequent RNA extraction (standard condition) and medium was cooled down to 10M-BM-0C. Two hrs after reaching the temperature, cells were again harvested for RNA extraction.

ORGANISM(S): Pseudomonas putida KT2440

SUBMITTER: Sarah Frank

PROVIDER: E-GEOD-24175 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Functional genomics of the initial phase of cold adaptation of Pseudomonas putida KT2440.

Frank Sarah S Schmidt Frank F Klockgether Jens J Davenport Colin F CF Gesell Salazar Manuela M Völker Uwe U Tümmler Burkhard B

FEMS microbiology letters 20110301 1

The cold stress response of Pseudomonas putida KT2440 was investigated by genomewide deep cDNA sequencing and gel-free MS-based protein profiling. Transcriptome and proteome profiles were assessed at 30°C and 2 h after a downshift from 30 to 10°C. Pseudomonas putida adapted to lower ambient temperature by the activation of ribosome-associated functional modules that facilitate translational efficiency. The outer membrane profile was reorganized, anabolic pathways and core as well as energy metab ...[more]

PMID: 21306427

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Project description:Background Regulation of transcription is essential for any organism and Rhizobium etli (a multi-replicon, nitrogen-fixing symbiotic bacterium) is no exception. This bacterium is commonly found in the rhizosphere (free-living) or inside of root-nodules of the common bean (Phaseolus vulgaris) in a symbiotic relationship. Abiotic stresses, such as high soil temperatures and salinity, compromise the genetic stability of R. etli and therefore its symbiotic interaction with P. vulgaris. However, it is still unclear which genes are up- or down-regulated to cope with these stress conditions. The aim of this study was to identify the genes and non-coding RNAs (ncRNAs) that are differentially expressed under heat and saline shock, as well as the promoter regions of the up-regulated loci. Results Analysing the heat and saline shock responses of R. etli CE3 through RNA-Seq, we identified 756 and 392 differentially expressed genes, respectively, and 106 were up-regulated under both conditions. Notably, the set of genes over-expressed under either condition was preferentially encoded on plasmids, although this observation was more significant for the heat shock response. In contrast, during either saline shock or heat shock, the down-regulated genes were principally chromosomally encoded. Our functional analysis shows that genes encoding chaperone proteins were up-regulated during the heat shock response, whereas genes involved in the metabolism of compatible solutes were up-regulated following saline shock. Furthermore, we identified thirteen and nine ncRNAs that were differentially expressed under heat and saline shock, respectively, as well as eleven ncRNAs that had not been previously identified. Finally, using an in silico analysis, we studied the promoter motifs in all of the non-coding regions associated with the genes and ncRNAs up-regulated under both conditions. Conclusions Our data suggest that the replicon contribution is different for different stress responses and that the heat shock response is more complex than the saline shock response. In general, this work exemplifies how strategies that not only consider differentially regulated genes but also regulatory elements of the stress response provide a more comprehensive view of bacterial gene regulation. mRNA of nine independent cultures of wild type strain Rhizobium etli CE3 were sequenced using Illumina GAIIx. Our parameters were: all cultures were taken from exponential phase, at 30M-BM-0C for 30min in control condition; 42M-BM-0C for 30min for the culture subject to heat -shock, and 30min at 30M-BM-0C in supplementary PY medium with 80mM NaCl for the saline shock condition.

Project description:Diurnal temperature cycling is an intrinsic characteristic of many exposed microbial ecosystems. However, its influence on yeast physiology and transcriptome has not been studied in detail. In this study, 24-h sinoidal temperature cycles, oscillating between 12 and 30M-BM-0C, were imposed on anaerobic, glucose-limited chemostat cultures of Saccharomyces cerevisiae. After three diurnal temperature cycles (DTC), concentrations of glucose, and extracellular metabolites, as well as CO2-production rates showed regular, reproducible circadian rhytms. DTC also led to waves of transcriptional activation and repression, which involved one sixth of the yeast genome. A substantial fraction of these DTC-responsive genes appeared to primarily respond to changes in glucose concentration. Elimination of known glucose-responsive genes revealed overrepresentation of previously identified temperature-responsive genes as well as genes involved in cell cycle and de novo purine biosynthesis. Analyses of budding index and flow cytomery demonstrated that DTC led to a partial synchronization of the cell cycle of the yeast populations in the chemostat cultures, which was lost upon release from DTC. Comparison of DTC results with data from steady-state cultures showed that DTC was sufficiently slow to allow S. cerevisiae chemostat cultures to almost completely acclimatize their transcriptome and physiology at the DTC temperature maximum, and to approach acclimation at the DTC temperature minimum. The aim of this study was to investigate the impact of diurnal temperature cycles on the physiology and transcriptome of S. cerevisiae and to assess the extent to which these responses can be predicted from steady-state analyses. To this end, we used a continuous cultivation set-up, in which the yeast was grown under controlled conditions and subjected to 24-h sinoidal temperature cycles. Since the sampling volume was kept within 5% of the reactor volume during 24 h, sampling from two independent duplicate cultures for microarray analysis was spread over the fifth and sixth temperature cycle. Sample points from the fifth and sixth temperature cycle were combined, resulting in six sample points covering one temperature cycle (at temperatures of 30; 21; 14.6; 12; 21 and 27.4M-BM-0C). For the last time point, one additional analytical duplicate sample was taken. Furthermore, steady-state chemostat cultures at constant temperatures of 12M-BM-0C and 30M-BM-0C (independent duplicate cultures at both temperatures) were sampled for microarray analysis. All this resulted in a total array set of 17 arrays.

Dataset Information

Expression data from Pseudomonas putida KT2440 (RNA-Seq data)

Publications

Functional genomics of the initial phase of cold adaptation of Pseudomonas putida KT2440.

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