Intermittent Oxygen Supply Facilitates Co-degradation of Trichloroethene and Toluene by Anaerobic Consortia
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PROVIDER: PRJEB60473 | ENA |
REPOSITORIES: ENA
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Project description:We report the application of a high-throughput technique, RNA-seq, to study the transcriptomic response of P. putida KT2440 and DOT-T1E in the presence of toluene with the aim to study in more detail the mechanisms involved in toluene response in a toluene-sensitive and a toluene-tolerant strains.
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Project description:The effects of the aromatic hydrocarbons benzene and toluene on Nitrosomonas europaea, a nitrifying bacterium that plays an important role in the removal of nitrogen from wastewater treatment plants, were studied in batch reactors. Exposure to 20 M toluene and 40 M benzene resulted in a 50% reduction in nitrifying activity after 1 h. However, Affymetrix microarray experiments detected no significant changes in gene expression in toluene exposed cells. Cells exposed to benzene were found to up-regulate a gene cluster (NE 1545 - NE 1551). This gene cluster appears to be involved with fatty-acid metabolism, lipid and membrane protein biosynthesis. TEM experiments reveal that cells exposed to benzene decrease the thickness of their membrane and the membrane becomes more structured. Keywords: stress response, benzene, toluene
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Project description:Toluene is an industrial raw material and solvent that can be found abundantly in our daily life products. The amount of toluene vapor is one of the most important measurements for evaluating air quality. The evaluation of toluene scavenging ability of different plants has been reported, but the mechanism of plant response to toluene is only partially understood. In this study, we performed RNA sequencing (RNA-seq) analysis to detect differential gene expression in toluene-treated and untreated leaves of Ardisia pusilla. A total of 88,444 unigenes were identified by RNA-seq analysis, of which 49,623 were successfully annotated and 4,101 were differentially expressed. Gene ontology analysis revealed several sub-categories of genes related to toluene response, including cell part, cellular process, organelle, and metabolic processes. We mapped the main metabolic pathways of genes related to toluene response and found that the differentially expressed genes were mainly involved in glycolysis/gluconeogenesis, starch and sucrose metabolism, glycerophospholipid metabolism, carotenoid biosynthesis, phenylpropanoid biosynthesis, and flavonoid biosynthesis. In addition, 53 transcription factors belonging to 13 transcription factor families were identified. We verified 10 differentially expressed genes related to metabolic pathways using quantitative real-time PCR and found that the results of RNA-seq were positively correlated with them, indicating that the transcriptome data were reliable. This study provides insights into the metabolic pathways involved in toluene response in plants.
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Project description:The physiological and transcriptional response of Nitrosomonas europaea biofilms to phenol and toluene was examined and compared to suspended cells. Biofilms were grown in Drip Flow Biofilm Reactors under continuous flow conditions of growth medium containing ammonia as growth substrate. The responses of N. europaea biofilms to the aromatic hydrocarbons phenol and toluene were determined during short-term (3 h) additions of each compound to the biofilms. Ammonia oxidation in the biofilms was inhibited 50% by 60 uM phenol and 100 uM toluene. These concentrations were chosen for microarray analysis of phenol- and toluene-exposed N. europaea biofilms. Liquid batch cultures of exponentially growing N. europaea cells were harvested alongside the biofilms to determine differential gene expression between attached and suspended growth of N. europaea.
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Project description:Expression data from mice exposed to intermittent hypoxia and mice reared for 12 months. We used microarrays to analyze the transcriptome of hippocampus from mice exposed to intermittent hypoxia or aged mice.
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Project description:Toluene-treatment bioreactor microbiome Raw sequence reads
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