Groundwater metagenome
Ontology highlight
ABSTRACT:
PROVIDER: PRJDB11653 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| DRR291491_1.fastq.gz | Fastqsanger.gz | |||
| DRR291491_2.fastq.gz | Fastqsanger.gz | |||
| DRR291492_1.fastq.gz | Fastqsanger.gz | |||
| DRR291492_2.fastq.gz | Fastqsanger.gz | |||
| DRR291493_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 22 |
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Project description:Microbial degradation of chlorinated ethenes
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Project description:Groundwater dechlorinating microbial communities from synthetic mineral medium in Toronto, Ontario, Canada - Site contaminated with chlorinated ethenes metagenome
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Project description:The genomes of three newly isolated Dehalococcoides strains (11a, 11a5 and MB) were compared against known genomes in the Dehalococcoides genus via a microarray targeting four sequenced Dehalococcoides strains (195, CBDB1, BAV1, and VS). All three strains exhibit different dechlorination patterns, with strains 11a dechlorinating TCE to ethene, 11a5 dechlorinating TCE to VC and MB dechlorinating PCE only to isomers of DCE. Hybridization of their respective genomic DNA to the microarrays showed that the genomes of strains 11a and 11a5 show great similarity to each other and to strains CBDB1 and BAV1 of the Pinellas subgroup, while strain MB shows strong genome similarity to members of the Cornell subgroup. All genes within the respective subgroups that were not detected by microarray are within the respective high plasticity regions or integrated elements of the sequenced strains. A large number of reductive dehalogenase (RDase)-encoding genes are present within each genome, and the presence of the vcrA and tceA genes in strains 11a and 11a5 respectively, and the absence of any of the four functionally-characterized chlorinated ethene RDases (pceA, tceA, vcrA, bvcA) within strain MB appear to dictate chlorinated ethene usages regardless of the respective core genome phylogeny of the three strains. Considering the current data set together with previous comparative genomics results from application of the Dehalococcoides genus microarray to two other un-sequenced strains, the observed incongruence between the core genome phylogeny and chlorinated ethene usage of Dehalococcoides strains is likely driven by horizontal gene transfer of functional RDases. The other genomic features that are repeatedly observed in the microarray analyses of all five un-sequenced Dehalococcoides strains as well as the environmental implications on this work are presented in this study. The genomic DNA (gDNA) of each culture was analyzed in triplicate. gDNA from the two newly isolated Dehalococcoides strains 11a and 11a5 were analyzed.
2013-03-01 | E-GEOD-27611 | biostudies-arrayexpress
Project description:Organohalide-respiring Dehalococcoidia bacteria are one of the few microorganisms capable of transforming chlorinated solvents to benign ethene in anoxic environments. The tceA gene found in these bacteria, coding the trichloroethene-dechlorinating RDase TceA, is frequently detected in contaminated groundwater but not recognized as a biomarker for vinyl chloride detoxification. Here, we demonstrate that the tceA-carrying Dehalococcoides mccartyi (Dhc) strains FL2 and 195 grow with VC as electron acceptor when sufficient vitamin B12 is provided. Global proteomic profiling confirmed the predominant TceA expression in VC-grown Dhc FL2 cells, providing a line of evidence for the implication of TceA in respiratory VC reductive dechlorination.
2020-10-09 | MSV000086254 | MassIVE
Project description:Positive-ionization DDA metabolomics data of anaerobic SDC-9 cultures, which perform dechlorination of chlorinated ethenes for bioremediation
2022-07-21 | MSV000089937 | GNPS
Project description:Negative-ionization DDA metabolomics data of anaerobic SDC-9 cultures, which perform dechlorination of chlorinated ethenes for bioremediation
2022-07-20 | MSV000089928 | GNPS
Project description:<p>Ultra-high performance liquid chromatography-high resolution mass spectrometry (UPHLC-HRMS) is used to discover and monitor single or sets of biomarkers informing about metabolic processes of interest. The technique can detect thousands of molecules (i.e., metabolites) in a single instrument run and provide a measurement of the global metabolome, which could be a fingerprint of activity. Despite the power of this approach, technical challenges have hindered the effective use of metabolomics to interrogate microbial communities implicated in the removal of priority contaminants. Herein, our efforts to circumvent these challenges and apply this emerging systems biology technique to synthetic microbiomes relevant for contaminant biodegradation will be discussed. Chlorinated ethenes impact many contaminated sites, and detoxification can be achieved by organohalide-respiring bacteria, a process currently assessed by quantitative gene-centric tools (e.g., quantitative PCR). </p><p><br></p><p>This laboratory study monitored the metabolome of the SDC-9 bioaugmentation consortium during cis-1,2-dichloroethene conversion to vinyl chloride and nontoxic ethene. Untargeted metabolomics using an UPLC-Orbitrap mass spectrometer and performed on SDC-9 cultures at different stages of the reductive dechlorination process detected ~10,000 spectral features per sample arising from water-soluble molecules with both known and unknown structures. Multivariate statistical techniques including partial least squares-discriminate analysis (PLS-DA) identified patterns of measurable spectral features (peak patterns) that correlated with dechlorination (in)activity. ANOVA analyses identified 18 potential biomarkers of reductive dechlorination activity. Statistical clustering of samples with these 18 features predicted dechlorination activity more reliably than clustering of samples based only on chlorinated ethene concentration and Dhc 16S rRNA gene abundance data, highlighting the value of metabolomic workflows as an innovative site assessment and bioremediation monitoring tool.</p>
2022-09-16 | MTBLS5219 | MetaboLights
Project description:A functional microarray targeting 24 genes involved in chlorinated solvent biodegradation pathways has been developed and used to monitor the gene expression in a contaminated site (site B) under ERD (enhanced reductive dechlorination) treatment. The microarray format provided by NimbleGen and used in this study is 12x135K. 4 µg of labelled antisense mRNA from 3 groundwater samples were hybridized on the microarray.
2012-04-03 | GSE28608 | GEO