Microbial community
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1078119 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR28019476_1.fastq.gz | Fastqsanger.gz | |||
| SRR28019476_2.fastq.gz | Fastqsanger.gz | |||
| SRR28019477_1.fastq.gz | Fastqsanger.gz | |||
| SRR28019477_2.fastq.gz | Fastqsanger.gz | |||
| SRR28019478_1.fastq.gz | Fastqsanger.gz |
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Project description:Background: Biological conversion of the surplus of renewable electricity to CH4 could support energy storage and strengthen the power grid. Biological methanation (BM) is closely linked to the activity of biogas-producing bacterial community and methanogenic Archaea in particular. During reactor operations, the microbiome is often subject to various changes whereby the microorganisms are challenged to adapt to the new conditions. In this study, a hydrogenotrophic-adapted microbial community in a laboratory-scale BM fermenter was monitored for its pH, gas production, conversion yields and composition. To investigate the robustness of BM regarding power oscillations, the biogas microbiome was exposed to five H2 starvations patterns for several hours.
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Project description:Multiple species of bacteria oxidize methane in the environment after it is produced by anaerobic ecosystems. These organisms provide a carbon and energy source for species that cannot oxidize methane themselves, thereby serving a key role in these niches while also sequestering this potent greenhouse gas before it enters the atmosphere. Deciphering the molecular details of how methane-oxidizing bacteria interact in the environment enables us to understand an important aspect that shapes the structure and function these communities. Here we show that many members of the Methylomonas genus possess a LuxR-type acyl-homoserine lactone (acyl-HSL) receptor/transcription factor highly homologous to MbaR from the quorum sensing (QS) system of Methylobacter tundripaludum, another methane-oxidizer that has been isolated from the same environment. We reconstitute this detection system in Escherichia coli and also use mutant and transcriptomic analysis to show that the receptor from Methylomonas species strain LW13 (LW13) is active and alters LW13 gene expression in response to the acyl-HSL produced by M. tundripaludum. These findings provide a molecular mechanism for how two species of bacteria that may compete for resources in the environment can interact in a specific manner through a chemical signal.
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Project description:Meta-proteomics analysis approach in the application of biogas production from anaerobic digestion has many advantages that has not been fully uncovered yet. This study aims to investigate biogas production from a stable 2-stage chicken manure fermentation system in chemical and biological perspective. The diversity and functional protein changes from the 1st stage to 2nd stage is a good indication to expose the differential metabolic processes in anaerobic digestion. The highlight of identified functional proteins explain the causation of accumulated ammonia and carbon sources for methane production. Due to the ammonia stress and nutrient limitation, the hydrogenotrophic methanogenic pathway is adopted as indicative of meta-proteomics data involving the key methanogenic substrates (formate and acetate). Unlike traditional meta-genomic analysis, this study could provide both species names of microorganism and enzymes to directly point the generation pathway of methane and carbon dioxide in investigating biogas production of chicken manure.
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Project description:Transcriptional profiling of methanotrophic bacteria (pmoA gene) in methane oxidation biocover soil by depth Three-different depth condition in methane oxidation biocover soil: top, middle and botton layer soil: genomic DNA extract. Three replicate per array.
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Project description:Transcriptional profiling of methanotrophic bacteria (pmoA gene) in methane oxidation biocover soil by depth
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Project description:Industrial anaerobic digestion (AD) represents a relevant energy source beyond today’s fossil fuels, wherein organic matter is recycled to methane gas via an intricate and complex microbial food web. Despite its potential, anaerobic reactors often undergo process instability over time, mainly caused by substrate composition perturbations, making the system unreliable for stable energy production. To ensure the reliability of AD technologies, it is crucial to identify microbial- and system responses to better understand the effect of such perturbations and ultimately detect signatures indicative of process failure . Here, we investigate the effect of microalgal organic loading rate (OLR) on the fermentation products profile, microbiome dynamics, and disruption/recovery of major microbial metabolisms. Reactors subjected to low- and high-OLR disturbances were operated and monitored for fermentation products and biogas production over time, while microbial responses were investigated via 16S rRNA gene amplicon data, shotgun metagenomics and metagenome-centric metaproteomics.
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