Analysis of gene expression in Pseudonocardia dioxanivorans strain CB1190 during growth with dioxane, glycolate or pyruvate
Ontology highlight
ABSTRACT:
ORGANISM(S): Pseudonocardia dioxanivorans CB1190
PROVIDER: GSE33197 | GEO | 2012/02/21
SECONDARY ACCESSION(S): PRJNA149249
REPOSITORIES: GEO
Similar Datasets
Project description:Analysis of gene expression in Pseudonocardia dioxanivorans strain CB1190 during growth with dioxane, glycolate or pyruvate. Three treatments, based on carbon source used for growth: pyruvate, dioxane and glycolate. Triplicate microarrays (biological replicates) were prepared for each treatment. Pyruvate was used as the reference treatment for subsequent analysis. Gene expression changes were compared pair-wise: dioxane vs. pyruvate, and glycolate vs. pyruvate
2012-02-21 | E-GEOD-33197 | biostudies-arrayexpress
Project description:Analysis of gene expression in Pseudonocardia dioxanivorans strain CB1190 during growth on THF (tetradhydrofuran) or succinate, and re-analysis of GSE33197 published expression data. Two new treatments, based on carbon/energy source used for growth: THF and succinate. Three previously published treatments (pyruvate, dioxane, and glycolate) from GEO Series GSE33197 were also reanalyzed. Triplicate microarrays (biological replicates) were prepared for each treatment. Gene expression changes were compared directly between the new treatments (THF vs. succinate) and to previously published data during growth on pyruvate (GEO accession numbers GSM821862-GSM821864) in order to yield THF vs. pyruvate and succinate vs. pyruvate contrasts. Included as part of the re-analysis of GSE33197 were data from dioxane and glycolate treatments (GSM821865-GSM821870). The complete dataset representing: (1) the THF- and succinate-treated CB1190 Samples and (2) the pyruvate-, dioxane- and glycolate-treated CB1190 Samples from Series GSE33197 (re-processed using RMA), is linked below as a supplementary file (GSE48814_complete_data.txt).
2013-07-12 | E-GEOD-48814 | biostudies-arrayexpress
Project description:Analysis of gene expression in Pseudonocardia dioxanivorans strain CB1190 during growth with H2/bicarbonate or pyruvate
2013-04-24 | GSE41145 | GEO
Project description:Analysis of gene expression in Pseudonocardia dioxanivorans strain CB1190 during growth with H2/bicarbonate or pyruvate Two treatments, based on carbon/energy source used for growth: pyruvate and H2/bicarbonate. Triplicate microarrays (biological replicates) were prepared for each treatment. Pyruvate was used as the reference treatment for subsequent analysis. Gene expression changes were compared pair-wise: H2/bicarbonate vs. pyruvate
2013-04-24 | E-GEOD-41145 | biostudies-arrayexpress
Project description:Analysis of gene expression in Pseudonocardia dioxanivorans strain CB1190 during growth with dioxane, glycolate or pyruvate
| PRJNA149249 | ENA
Project description:Burkholderia caribensis MBA4 is able to metabolize monochloroacetate (MCA) as sole carbon and energy source for growth. A haloacid dehalogenase is mainly responsible for the cleavage of the carbon-halogen bond. The MCA will be hydrolyzed to glycolate which would be further transformed to glyoxylate by glycolate oxidase. In order to identify inducible genes involved in mineralization of MCA, transcriptomes of MBA4 cells grown on MCA, glycolate or pyruvate were determined using RNA-seq technology. After trimming and filtering, clean data of each transcriptome were mapped to an annotated genome of MBA4 and the expression values of various genes were calculated and compared. The results showed that there are specific sets of genes being induced by MCA and not by its dehalogenation product glycolate. Noticeably, among three glycolate oxidase operons identified in the genome their expressions were found to be varied individually in response to MCA, glycolate and pyruvate. One of the operons was minimally expressed no matter what was the growth substrate. Another operon was inducible both by MCA and glycolate. This is expected and which suggested that this operon is most likely responds to the presence of glycolate. The third operon contains the structural genes, glcDEF, for glycolate oxidase, glcG, for an uncharacterized protein associated with glycolate metabolism, and glcB, for malate synthase G. This operon was inducible by MCA only and not by glycolate nor pyruvate.
2017-01-01 | GSE72052 | GEO
Project description:Pyruvate fermentation pathway and energetics of Desulfovibrio alaskensis strain G20 under syntrophic coculture and fermentative monoculture conditions Expression data for Desulfovibrio alaskensis strain G20 grown in chemostats on pyruvate under respiratory conditions (sulfate-limited and pyruvate-limited monoculture, dilution rate 0.047 and 0.027 h-1), fermentative conditions (monoculture, dilution rate 0.036 h-1), and syntrophic conditions (coculture with Methanococcus maripaludis or Methanospirillum hungatei, dilution rate of 0.047 and 0.027 h-1) 2 replicates each for syntrophic coculture (M. maripaludis or M. hungatei pairing) and respiratory (sulfate- or pyruvate-limited) monoculture for both growth rates (0.027 and 0.047 h-1), and 4 replicates fermentative monoculture (gas flow rate through head space of bioreactor 10 ml/min (chemostats C91 and C93) or 1 ml/min (chemostats C92 and C94)
2013-12-12 | E-GEOD-53226 | biostudies-arrayexpress
Project description:Pyruvate fermentation pathway and energetics of Desulfovibrio alaskensis strain G20 under syntrophic coculture and fermentative monoculture conditions Expression data for Desulfovibrio alaskensis strain G20 grown in chemostats on pyruvate under respiratory conditions (sulfate-limited and pyruvate-limited monoculture, dilution rate 0.047 and 0.027 h-1), fermentative conditions (monoculture, dilution rate 0.036 h-1), and syntrophic conditions (coculture with Methanococcus maripaludis or Methanospirillum hungatei, dilution rate of 0.047 and 0.027 h-1)
2013-12-12 | GSE53226 | GEO
Project description:Two consortia (Consortium A and Consortium B) that can use 1,4-dioxane (a groundwater contaminant of emerging concern) as the sole carbon source were enriched from Rice University (Houston, TX, USA) campus soil. Phylogenetic analysis by 16S rRNA sequencing revealed the dominant genus in both of the consortia is Mycobacterium (56% in Consortium A and 49% in Consortium B). The predominance of Mycobacterium spp, in these consortia support the notion that this is an important and commonly encountered genus of dioxane degraders. Among other genera present that make at least 2% of these consortia, only Afipia encompasses a strain (i.e., Afipia sp. D1) that was reported to degrade dioxane as sole carbon and energy source. A nested PCR analysis using two degenerate primers to target the hydroxylase alpha subunit of groups 3 to 6 SDIMOs was performed to gain insights into which enzymes were responsible for dioxane degradation by these consortia. The purified products obtained from the second PCR run were sequenced and compared to genes databases (NCBI) encompassing all of the currently reported SDIMOs. The dominant SDIMO genes in Consortium A corresponded to a group-6 putative propane monooxygenase-like SDIMO (98.8%); while in Consortium B, SDIMO genes from both groups 5 (47.3%) and 6 (51.9%) were observed. In both consortia, the relative abundance of thmA/dxmA gene was negligible (0.03%), which is consistent with the negative amplification of these genes as verified in qPCR. Overall, the high relative abundance of group-6 putative propane monooxygenases in our two consortia suggests the novel finding that group 6-SDIMOs could also play an important role in dioxane degradation. This underscores the need for further research on genes and enzymes involved in dioxane biodegradation to develop novel biomarkers that can be useful for forensic analysis and performance assessment of bioremediation and natural attenuation at dioxane-impacted sites. DNA was extracted from bacteria biomass harvested in exponential growth phase, when half or more of the added dioxane (100 mg/L) was consumed. Total DNA extractions were performed using the UltraClean® Microbial DNA Isolation Kit (MO BIO, Carlsbad, CA, USA) according to the manufacturer’s protocol. The V4 region of the 16S rRNA gene was amplified by PCR using the forward 515F and reverse 806R primers. Sequencing was performed at MR DNA (www.mrdnalab.com, Shallowater, TX, USA) by Illumina MiSeq paired-end sequencing (approximately 2×300 bp as the read length). Sequence data were processed using MR DNA analysis pipeline. Operational taxonomic units (OTUs) were defined by clustering at 3% divergence (97% similarity). Final OTUs were taxonomically classified using BLASTn against the RDPII (http://rdp.cme.msu.edu) and NCBI (www.ncbi.nlm.nih.gov) databases.Previously designed degenerate primers NVC57, NVC58, NVC65 and NVC66 to target conserved regions in the soluble di-iron monooxygenases (SDIMO) alpha subunit gene (groups 3 to 6) were used to examine the presence and diversity of SDIMO genes in these two consortia. A nested PCR strategy was used to increase the PCR product yield. In the first run, the PCR mixture contained 1 µL of NVC65 and NVC58 primer mixture (10 µM), 20 ng of the extracted genomic DNA, 12.5 µL of KAPA HiFi HotStart ReadyMix (2X) (KAPA Biosystems, Wilmington, MA, USA), and nuclease-free water to yield a total volume of 25 µL. PCR was performed in a Bio-Rad Thermal Cycler (Bio-Rad, Hercules, CA, USA) with the following temperature profile: initial denaturation (94°C, 5 min), then 29 amplification cycles (94°C for 30 s, 55°C for 30 s, 72°C for 1 min per kb) and a final extension (72°C for 5 min). The length of the PCR products in the first run was checked by 1% agarose gel and DNA bands of the correct size (1100 bp) were excised and purified. 20 ng of the purified PCR product was used as the DNA template in the second run, with the second set of primers (NVC57 and NVC66). The purified product (420 bp) from the second PCR was sent to MR DNA (www.mrdnalab.com, Shallowater, TX, USA) for Illumina MiSeq paired-end sequencing (approximately 2×300 bp as the read length). Sequence data were processed using MR DNA analysis pipeline. Operational taxonomic units (OTUs) were defined by clustering at 3% divergence (97% similarity). A database including all of the currently reported SDIMO genes on NCBI was created and used to taxonomically classify the final OTUs.
2018-05-01 | GSE97757 | GEO
Project description:Two consortia (Consortium A and Consortium B) that can use 1,4-dioxane (a groundwater contaminant of emerging concern) as the sole carbon source were enriched from Rice University (Houston, TX, USA) campus soil. Phylogenetic analysis by 16S rRNA sequencing revealed the dominant genus in both of the consortia is Mycobacterium (56% in Consortium A and 49% in Consortium B). The predominance of Mycobacterium spp, in these consortia support the notion that this is an important and commonly encountered genus of dioxane degraders. Among other genera present that make at least 2% of these consortia, only Afipia encompasses a strain (i.e., Afipia sp. D1) that was reported to degrade dioxane as sole carbon and energy source. A nested PCR analysis using two degenerate primers to target the hydroxylase alpha subunit of groups 3 to 6 SDIMOs was performed to gain insights into which enzymes were responsible for dioxane degradation by these consortia. The purified products obtained from the second PCR run were sequenced and compared to genes databases (NCBI) encompassing all of the currently reported SDIMOs. The dominant SDIMO genes in Consortium A corresponded to a group-6 putative propane monooxygenase-like SDIMO (98.8%); while in Consortium B, SDIMO genes from both groups 5 (47.3%) and 6 (51.9%) were observed. In both consortia, the relative abundance of thmA/dxmA gene was negligible (0.03%), which is consistent with the negative amplification of these genes as verified in qPCR. Overall, the high relative abundance of group-6 putative propane monooxygenases in our two consortia suggests the novel finding that group 6-SDIMOs could also play an important role in dioxane degradation. This underscores the need for further research on genes and enzymes involved in dioxane biodegradation to develop novel biomarkers that can be useful for forensic analysis and performance assessment of bioremediation and natural attenuation at dioxane-impacted sites. DNA was extracted from bacteria biomass harvested in exponential growth phase, when half or more of the added dioxane (100 mg/L) was consumed. Total DNA extractions were performed using the UltraClean® Microbial DNA Isolation Kit (MO BIO, Carlsbad, CA, USA) according to the manufacturer’s protocol. The V4 region of the 16S rRNA gene was amplified by PCR using the forward 515F and reverse 806R primers. Sequencing was performed at MR DNA (www.mrdnalab.com, Shallowater, TX, USA) by Illumina MiSeq paired-end sequencing (approximately 2×300 bp as the read length). Sequence data were processed using MR DNA analysis pipeline. Operational taxonomic units (OTUs) were defined by clustering at 3% divergence (97% similarity). Final OTUs were taxonomically classified using BLASTn against the RDPII (http://rdp.cme.msu.edu) and NCBI (www.ncbi.nlm.nih.gov) databases.Previously designed degenerate primers NVC57, NVC58, NVC65 and NVC66 to target conserved regions in the soluble di-iron monooxygenases (SDIMO) alpha subunit gene (groups 3 to 6) were used to examine the presence and diversity of SDIMO genes in these two consortia. A nested PCR strategy was used to increase the PCR product yield. In the first run, the PCR mixture contained 1 µL of NVC65 and NVC58 primer mixture (10 µM), 20 ng of the extracted genomic DNA, 12.5 µL of KAPA HiFi HotStart ReadyMix (2X) (KAPA Biosystems, Wilmington, MA, USA), and nuclease-free water to yield a total volume of 25 µL. PCR was performed in a Bio-Rad Thermal Cycler (Bio-Rad, Hercules, CA, USA) with the following temperature profile: initial denaturation (94°C, 5 min), then 29 amplification cycles (94°C for 30 s, 55°C for 30 s, 72°C for 1 min per kb) and a final extension (72°C for 5 min). The length of the PCR products in the first run was checked by 1% agarose gel and DNA bands of the correct size (1100 bp) were excised and purified. 20 ng of the purified PCR product was used as the DNA template in the second run, with the second set of primers (NVC57 and NVC66). The purified product (420 bp) from the second PCR was sent to MR DNA (www.mrdnalab.com, Shallowater, TX, USA) for Illumina MiSeq paired-end sequencing (approximately 2×300 bp as the read length). Sequence data were processed using MR DNA analysis pipeline. Operational taxonomic units (OTUs) were defined by clustering at 3% divergence (97% similarity). A database including all of the currently reported SDIMO genes on NCBI was created and used to taxonomically classify the final OTUs.
2018-05-01 | GSE97756 | GEO