Groundwater metagenome
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA413305 | ENA |
REPOSITORIES: ENA
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Project description:HiSpOD is a new efficient functional microarrays probe design algorithm especially dedicated for the microbial ecology and environmental studies. It was used to design 3392 probes targeting 21 genes involved in chlorinated solvent biodegradation pathways and synthesized on a nimblegen microarray. In order to test the probe specificity, the microarray was firstly hybridized to 6 M-BM-5g of labelled aRNA from sheep rumen content (background aRNA). Secondly, hybridization of 1011 copies of labelled aRNA derived from in vitro transcription of three synthetic genes (mmoC, vcrA and tceA) and mixed with 6 M-BM-5g of the same complex background material were performed to test their sensibility. Finally, the expression analysis of a contaminated groundwater sample was performed. A 3 chip study was realized. The first one is a negative control performed with a complex background material (labelled antisense mRNA from sheep rumen content). The second one is a positive control realized with labelled antisense RNA derived from in vitro transcription of three synthetic genes mixed the same complex background material. The third consists in the hybridization of antisense mRNA retrieved from a contaminated groundwater. Each probe (3392) was synthetized in triplicate, and a total of 8,863 random probes was used to determine the background noise.
2011-04-13 | E-GEOD-21492 | biostudies-arrayexpress
Project description:HiSpOD is a new efficient functional microarrays probe design algorithm especially dedicated for the microbial ecology and environmental studies. It was used to design 3392 probes targeting 21 genes involved in chlorinated solvent biodegradation pathways and synthesized on a nimblegen microarray. In order to test the probe specificity, the microarray was firstly hybridized to 6 µg of labelled aRNA from sheep rumen content (background aRNA). Secondly, hybridization of 1011 copies of labelled aRNA derived from in vitro transcription of three synthetic genes (mmoC, vcrA and tceA) and mixed with 6 µg of the same complex background material were performed to test their sensibility. Finally, the expression analysis of a contaminated groundwater sample was performed.
2011-04-13 | GSE21492 | GEO
Project description:Uranium-contaminated groundwater metagenome
| PRJNA39533 | ENA
Project description:Metagenomes from contaminated groundwater
| PRJNA329043 | ENA
Project description:The ecophysiology of complete ammonia oxidizing Nitrospira (CMX) and their widespread occurrence in groundwater suggests that CMX bacteria have a competitive advantage over ammonia-oxidizing bacteria (AOB) and archaea (AOA) in these environments. However, the relevance of their activity from the ecosystem-level process perspective has remained unclear. We investigated oligotrophic carbonate rock aquifers as a model system to assess the contribution of CMX, AOA and AOB to nitrification and to identify the environmental drivers of their niche differentiation at different levels of ammonium and oxygen. CMX accounted for up to 95% of the ammonia oxidizer communities. Nitrification rates were positively correlated to CMX clade A-associated phylotypes and AOB affiliated with Nitrosomonas ureae. Surprisingly, short-term incubations amended with the nitrification inhibitors allylthiourea and chlorate suggested that AOB contributed more than 90% to overall ammonia oxidation, while metaproteomics analysis confirmed an active role of CMX in both ammonia and nitrite oxidation. Ecophysiological niche differentiation of CMX clades A and B, AOA and AOB was linked to their requirements for ammonium, oxygen tolerance, and metabolic versatility. Our results demonstrate that despite numerical predominance of CMX, the first step of nitrification in oligotrophic groundwater is primarily governed by AOB. Higher growth yields at lower NH4+ turnover rates and energy derived from nitrite oxidation most likely enable CMX to maintain consistently high populations. Activity measurements combined with differential inhibition allowed a refined understanding of ammonia oxidizer coexistence, competition and cooperation beyond the insights from molecular data alone.
2023-10-24 | PXD039573 | Pride
Project description:Bioremediated contaminated groundwater from EPA Superfund site, New Mexico - Sample SAE3-23 metagenome
| PRJNA366142 | ENA
Project description:Bioremediated contaminated groundwater from EPA Superfund site, New Mexico - Sample SAE3-00 metagenome
| PRJNA366140 | ENA
Project description:Bioremediated contaminated groundwater from EPA Superfund site, New Mexico - Sample SAE3-47 metagenome
| PRJNA366143 | ENA
Project description:Bioremediated contaminated groundwater from EPA Superfund site, New Mexico - Sample HSE6-05 metagenome
| PRJNA366144 | ENA
Project description:Bioremediated contaminated groundwater from EPA Superfund site, New Mexico - Sample HSE6-23 metagenome
| PRJNA366145 | ENA