Ontology highlight
ABSTRACT:
PROVIDER: PRJNA560276 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR9973275_1.fastq.gz | Fastqsanger.gz | |||
| SRR9973275_2.fastq.gz | Fastqsanger.gz | |||
| SRR9973276_1.fastq.gz | Fastqsanger.gz | |||
| SRR9973276_2.fastq.gz | Fastqsanger.gz | |||
| SRR9973277_1.fastq.gz | Fastqsanger.gz |
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Project description:Anthropogenic perturbations to the nitrogen cycle, primarily through use of synthetic fertilizers, is driving an unprecedented increase in the emission of nitrous oxide (N2O), a potent greenhouse gas, and an ozone depleting substance, causing urgency in identifying the sources and sinks of N2O. Microbial denitrification is a primary contributor to the biotic production of N2O in anoxic regions of soil, marine systems, and wastewater treatment facilities. Here, through comprehensive genome analysis, we show that pathway partitioning is a ubiquitous mechanism of complete denitrification by microbial communities. We have further investigated the mechanisms and consequences of process partitioning through detailed physiological characterization and kinetic modeling of a synthetic community of Rhodanobacter R12 and Acidovorax 3H11. We have discovered that these two bacterial isolates from a heavily NO3- contaminated superfund site complete denitrification through the exchange of nitrite (NO2-) and nitric oxide (NO). Our findings further demonstrate that cooperativity within this denitrifying community emerges through process partitioning of denitrification and other processes, including amino acid metabolism. We demonstrate that certain contexts, such as high NO3-, cause unbalanced growth of community members, due to differences in their substrate utilization kinetics and inter-enzyme competition. The altered growth characteristics of community members drives accumulation of toxic NO2- , which disrupts denitrification causing N2O off gassing.
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Project description:This data was generated to identify the molecular pathways responsible for nitrous oxide synthesis by the green algae Chlamydomonas reinhardtii, when supplied with nitrite under aerobic conditions (oxia). RNA samples were collected at three time points, 15 min, 3 hours, and 24 hours after the start of the experiment. The control and treatment groups were grown under the same conditions, except treatment group was supplied with 10mM nitrite at time 0. Illumina TruSeq stranded RNA libraries were synthesised from the resulting RNA before sequencing on a HiSeq2500 (125bp). The resulting sequence run generated 241,151,809 paired-end 125bp reads, of which 200,946,839 remained following quality filtering. The short data was mapped to the published genome and read counts were generated with HT-Seq count with the default settings. The raw read count data was analysed by DESeq2 in order to identify genes differentially expressed during nitrous oxide production.
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