Weathered Black Shale metagenome
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB21520 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Deep subterrestrial bioweathering of fossil organic matter and organic carbon redistribution of Kupferschiefer black shale – detection and identification of long-term bacterial processes in the mines
| PRJEB21522 | ENA
Project description:Black shale weathering profile Metagenome
| PRJNA210340 | ENA
Project description:The weathering of volcanic minerals makes a significant contribution to the global silicate weathering budget, influencing carbon dioxide drawdown and climate control. Basalt rocks may account for over 30% of the global carbon dioxide drawdown in silicate weathering. Yet the genetics of biological rock weathering are unknown. For the first time, we apply a DNA microarray to investigate the genes involved in weathering by the heavy metal resistant organism, Cupriavidus metallidurans CH34; in particular we investigate the sequestering of iron. The results show that the bacterium sequesters iron in the ferrous state (FeII); therefore, not requiring siderophores. Instead an energy efficient process involving upregulation of large porins is employed concomitantly with genes associated with biofilm formation. We hypothesise that rock weathering is induced by changes in chemical equilibrium at the microbe-mineral interface, reducing the saturation state of iron. We also demonstrate that low concentrations of metals in the basalt induce heavy metal resistant genes. Volcanic environments are analogous to some of the earliest environments on Earth. These results not only elucidate the mechanisms by which microorganisms might have sequestered nutrients on the early Earth but they also provide an explanation for the evolution of multiple heavy metal resistance genes long before the creation of contaminated industrial biotopes by human activity.
2009-12-31 | GSE12133 | GEO
Project description:Subsurface weathering of granitic minerals by microorganisms
| PRJNA523798 | ENA
Project description:shale gas metagenome Targeted loci environmental
| PRJNA521770 | ENA
Project description:The weathering of volcanic minerals makes a significant contribution to the global silicate weathering budget, influencing carbon dioxide drawdown and climate control. Basalt rocks may account for over 30% of the global carbon dioxide drawdown in silicate weathering. Yet the genetics of biological rock weathering are unknown. For the first time, we apply a DNA microarray to investigate the genes involved in weathering by the heavy metal resistant organism, Cupriavidus metallidurans CH34; in particular we investigate the sequestering of iron. The results show that the bacterium sequesters iron in the ferrous state (FeII); therefore, not requiring siderophores. Instead an energy efficient process involving upregulation of large porins is employed concomitantly with genes associated with biofilm formation. We hypothesise that rock weathering is induced by changes in chemical equilibrium at the microbe-mineral interface, reducing the saturation state of iron. We also demonstrate that low concentrations of metals in the basalt induce heavy metal resistant genes. Volcanic environments are analogous to some of the earliest environments on Earth. These results not only elucidate the mechanisms by which microorganisms might have sequestered nutrients on the early Earth but they also provide an explanation for the evolution of multiple heavy metal resistance genes long before the creation of contaminated industrial biotopes by human activity. Cultures of Cupriavidus metallidurans CH34 were grown in Tris buffered medium MM284 media (with iron), MM284 without iron and MM284 without iron with sterilized basalt at 25 rpm, 30°C until mid-log phase. RNA was extracted from the cells. Three biological replicates of both samples were differentially labeled (resp. Cy3 and Cy5) and hybridized to three CH34 60-mer oligonucleotide glass-spotted microarray carrying three technical repeats.
2009-12-30 | E-GEOD-12133 | biostudies-arrayexpress
Project description:To explore the mechanism underlying antioxidant activity of extracts from black soybean sprouts 0.5 cm long, Agilent-016772 G. max (Soybean) Oligo Microarray 4x44K was used to compare mRNA expression between the black soybean sprouts 0.5 cm long (n=4) and the black soybean sprouts 5 cm long (n=4). GO term enrichment analysis showed ten up-regulated genes (BE823689.1_567, GMFL01-02-F14-R_381, GMFL01-03-G22-R_364, GMFL01-14-M12-R_553, GMFL01-51-M23-R_265, AW757007.1_297, AW761420.1_260, BI788389.1_501, BQ273202.1_332 and GMFL01-10-I14-F_701) in the 0.5 cm seedlings were associated with response to oxidative stress. qRT-PCR assay confirmed the up-regulation of these ten genes in sprouts 0.5 cm long. In conclusion, these ten genes may contribute to antioxidant activity of sprout extract. Gene expressions in black soybean sprouts were measured using Agilent-016772 G. max (Soybean) Oligo Microarray 4x44K. Four independent experiments were performed in each group using different sprout sample.
2012-08-09 | E-GEOD-40002 | biostudies-arrayexpress
Project description:To explore the mechanism underlying antioxidant activity of extracts from black soybean sprouts 0.5 cm long, Agilent-016772 G. max (Soybean) Oligo Microarray 4x44K was used to compare mRNA expression between the black soybean sprouts 0.5 cm long (n=4) and the black soybean sprouts 5 cm long (n=4). GO term enrichment analysis showed ten up-regulated genes (BE823689.1_567, GMFL01-02-F14-R_381, GMFL01-03-G22-R_364, GMFL01-14-M12-R_553, GMFL01-51-M23-R_265, AW757007.1_297, AW761420.1_260, BI788389.1_501, BQ273202.1_332 and GMFL01-10-I14-F_701) in the 0.5 cm seedlings were associated with response to oxidative stress. qRT-PCR assay confirmed the up-regulation of these ten genes in sprouts 0.5 cm long. In conclusion, these ten genes may contribute to antioxidant activity of sprout extract.
2012-08-10 | GSE40002 | GEO
Project description:Shale gas from the ionosphere to the asthenosphere
| PRJNA378845 | ENA
Project description:Oklahoma shale metagenome sequencing and assembly
| PRJNA660036 | ENA