Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1118425 | ENA |
REPOSITORIES: ENA
Similar Datasets
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.
2016-05-28 | GSE82006 | GEO
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. 18 samples were collected from 3 plots in Haibei Station, with 6 replicates in each plot
2016-05-28 | E-GEOD-82006 | biostudies-arrayexpress
Project description:To obtain deeper understanding of atmospheric dynamics of the potent greenhouse gas methane, controlling factors of methanotrophs, as the sole biological methane sink, is necessary. Recent research has revealed complex interactions between methanotrophs and heterotrophs, involving volatile organic compounds (VOCs). In environments with high methane concentrations VOC-mediated interactions significantly influence methane cycling and emissions. Here, we employed a multidisciplinary approach, utilizing proteomics, volatile analysis, and measurements of bacterial growth and methane oxidation to elucidate underlying mechanisms of VOC-mediated interactions between heterotrophs and methanotrophs. The results demonstrate that specific VOCs, like dimethylpolysulfides, released by heterotrophic bacteria can inhibit growth and methane uptake of methanotrophs, while other VOCs had the opposite effect. Proteomics analysis revealed differential protein expression patterns depending on exposure to the volatolome of a heterotrophic bacterium or with CO2 added, which was most pronounced with the particulate and soluble methane monooxygenase. The current study demonstrated potential biotic modulation of methanotrophy without direct contact, caused by VOC or CO2 from respiration, or both, with a proteomic response. Although further research is needed to elucidate the specific mechanisms involved, it is clear that methanotroph-heterotroph interactions need to be investigated closer to informs strategies for mitigating emission of the greenhouse gas methane.
2024-08-08 | PXD051964 | Pride
Project description:The marbled crayfish (Procambarus virginalis) is a unique freshwater crayfish characterized by genetic uniformity, phenotypic variability, and substantial invasive potential. As invasion into different habitats occurs in the absence of genetic variation, epigenetic mechanisms have been suggested to mediate phenotypic adaptation. However, epigenetic regulation has not been analyzed in this organism yet. Here we show that the recently published P. virginalis draft genome sequence encodes a conserved DNA methylation system. Whole-genome bisulfite sequencing of multiple replicates and different tissues revealed a methylation pattern that is characterized by gene body methylation of housekeeping genes. Interestingly, this pattern was largely tissue-invariant, suggesting a function that is unrelated to cell-fate specification. Indeed, integrative analysis of RNA-seq datasets showed that gene body methylation correlated with stable gene expression, while unmethylated genes often showed a high degree of inter-individual expression variation. Our findings thus establish the methylome of an emerging model organism and suggest that methylation-dependent regulation of gene expression variability may facilitate the phenotypic adaptation and invasive spread of this animal.
2018-10-11 | GSE112410 | GEO