Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1234829 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| Other | ||||
| SRR32663438_1.fastq.gz | Fastqsanger.gz | |||
| SRR32663438_2.fastq.gz | Fastqsanger.gz | |||
| SRR32663440_1.fastq.gz | Fastqsanger.gz | |||
| SRR32663440_2.fastq.gz | Fastqsanger.gz |
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Project description:Rice paddies contribute substantially to atmospheric methane (CH4) and these emissions are expected to increase as the need to feed the human population
grows. Here, we show that two independent rice genotypes overexpressing genes for PLANT PEPTIDES CONTAINING SULFATED TYROSINE (PSY) reduced cumulative CH4 emissions by 38% (PSY1) and 58% (PSY2) over the growth period compared with controls. Genome-resolved metatranscriptomic data from rhizosphere soils reveal lower ratios of gene activities for CH4 production versus consumption, decrease in activity of H2-producing genes, and increase in bacterial H2 oxidation pathways in the PSY genotypes. Metabolic modeling using metagenomic and metabolomic data predicts elevated levels of H2 oxidation and suppressed H2 production in the PSY rhizosphere. The H2- oxidizing bacteria have more genes for utilization of gluconeogenic acids than H2- producing counterparts, and their activities were likely stimulated by the observed enrichment of gluconeogenic acids (mostly amino acids) in PSY root exudates. Together these results suggest that decreased CH4 emission is due to the reduction of H2 available for hydrogenotrophic methanogenesis. The combination of rice phenotypic characterization, microbiome multi-omic analysis, and metabolic modeling described here provides a powerful strategy to discover the mechanisms by which specific plant genotypes can alter biogeochemical cycles to reduce CH4 emissions.
The work (proposal:https://doi.org/10.46936/10.25585/60008481) conducted by the U.S. Department of Energy Joint Genome Institute (https://ror.org/04xm1d337), a DOE Office of Science User Facility, is supported by the Office of Science of the U.S. Department of Energy operated under Contract No. DE-AC02-05CH11231.
2025-04-24 | MSV000097725 | MassIVE
Project description:Rice paddies contribute substantially to atmospheric methane (CH4) and these emissions are expected to increase as the need to feed the human populationgrows. Here, we show that two independent rice genotypes overexpressing genes for PLANT PEPTIDES CONTAINING SULFATED TYROSINE (PSY) reduced cumulative CH4 emissions by 38% (PSY1) and 58% (PSY2) over the growth period compared with controls. Genome-resolved metatranscriptomic data from rhizosphere soils reveal lower ratios of gene activities for CH4 production versus consumption, decrease in activity of H2-producing genes, and increase in bacterial H2 oxidation pathways in the PSY genotypes. Metabolic modeling using metagenomic and metabolomic data predicts elevated levels of H2 oxidation and suppressed H2 production in the PSY rhizosphere. The H2- oxidizing bacteria have more genes for utilization of gluconeogenic acids than H2- producing counterparts, and their activities were likely stimulated by the observed enrichment of gluconeogenic acids (mostly amino acids) in PSY root exudates. Together these results suggest that decreased CH4 emission is due to the reduction of H2 available for hydrogenotrophic methanogenesis. The combination of rice phenotypic characterization, microbiome multi-omic analysis, and metabolic modeling described here provides a powerful strategy to discover the mechanisms by which specific plant genotypes can alter biogeochemical cycles to reduce CH4 emissions.
The work (proposal:https://doi.org/10.46936/10.25585/60008481) conducted by the U.S. Department of Energy Joint Genome Institute (https://ror.org/04xm1d337), a DOE Office of Science User Facility, is supported by the Office of Science of the U.S. Department of Energy operated under Contract No. DE-AC02-05CH11231.
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Project description:Global warming substantially changes precipitation patterns in the Tibetan plateau, with projection of increased precipitation in southern and northern Tibet but decreased precipitation in the center. Understanding mechanisms of such changes in greenhouse gas emissions is of vital importance in predicting ecosystem feedbacks to climate changes. Nonetheless, it has been hampered by limited knowledge in soil microbial communities, one of the major drivers of greenhouse gas emission. Here, we report a field experiment simulating drying and wetting conditions in the Tibetan grassland. Our field site is located at the Haibei Alpine Grassland Ecosystem Research Station in the northeast of Tibet Plateau, China, and we employed GeoChip 5.0 180K to analyze microbial responses.
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Project description:In order to understand the mechanisms of Drought induced susceptibility (DIS) we’ve conducted a dual RNAseq experiment on rice infected tissues by Magnaporthe oryzae. At 4 days post inoculation tissues have been collected on mock inoculated and M. oryzae inoculated plants. Rice were conducted under two type of water regime: DIS Drought during three days before inoculation, NoDIS no drought before inoculation. RNAseq was conducted both on rice and fungal RNA.
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