Ontology highlight
ABSTRACT:
PROVIDER: PRJNA674997 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| Other | ||||
| JADNQW01.dat.gz | Other | |||
| JADNQW01.fasta.gz | Fasta.gz | |||
| JADNQW01.master.dat | Other | |||
| JADNQX01.dat.gz | Other |
Items per page: 5 1 - 5 of 27 |
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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.
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Project description:To unravel complex dynamics of environmental disturbance and microbial metabolic activities, we set up laboratory microcosms to investigate the effects of SO42- and O2 alone or in combination on microbial activities and interactions, as well as the resulting fate of carbon within wetland soil. We used proteogenomics to characterize the biochemical and physiological responses of microbial communities to individual perturbations and their combined effects. Stoichiometric models were employed to deconvolute carbon exchanges among the main functional guilds. These findings can contribute to the development of mechanistic models for predicting greenhouse gas emissions from wetland ecosystems under various climate change scenarios.
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