Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Fuxian Lake sediment metagenome - Biao Li

ABSTRACT: Fuxian Lake sediment metagenome - Biao Li

SUBMITTER: Peng Xing

PROVIDER: OEX00020424 | NODE | 2022-08-20

REPOSITORIES: NODE

ACCESS DATA

Json Xml

Similar Datasets

Lake sediment samples LCMS data analysis

Project description:Lake sediment samples for biosurfactants analysis

2023-07-02 | MSV000092330 | MassIVE

A transcriptomics approach to compare transcriptomes of individual methylotrophs from Lake Washington sediment in artificial communities and in pure cultures.

Project description:We established simple synthetic microbial communities in a microcosm model system to determine the mechanisms that underlay cross-feeding in microbial methane-consuming communities. Co-occurring strains from Lake Washington sediment were used that are involved in methane consumption, a methanotroph and two non-methanotrophic methylotrophs.

2016-12-26 | GSE85736 | GEO

GNPS - Lake sediment samples LCMS data analysis

Project description:Lake sediment samples for biosurfactants analysis

2023-07-02 | MSV000092330 | GNPS

lake sediment metagenome

Project description:lake sediment metagenome Raw sequence reads

| PRJNA859994 | ENA

Microbial consortia mediating lignocellulose turnover and denitrification in eutrophic lake sediment enrichments

Project description:Anthropogenic activities such as urbanization and agriculture can potentially pose a threat to neighboring freshwaters through nitrate and phosphorous contamination, which over time may lead to lake eutrophication. In such nitrogen-polluted environments, oxygen is depleted, and plants die and decompose. This enhances denitrifying microbes that respire under hypoxic/anoxic conditions by reducing nitrate instead of molecular oxygen and using plant remnants (lignocellulose) as carbon source. Microbial lignocellulose degradation has been well-studied for both aerobic- and anaerobic conditions; however, its degradation during denitrification remains largely unknown. Here we have applied a combination of gas kinetics and meta-omics techniques to enrich and analyze microbial communities from 10 eutrophic lakes to identify a set of core microbial metagenome-assembled genomes (MAGs) present in all the eutrophic lakes. We have further investigated their strategies and enzyme profiles for degrading lignocellulose under denitrifying conditions. We identified Pseudomonadota, Bacteroidota, Verrucomicrobiota, and Actinomycetota as the most abundant phyla and they were present in enrichments from all eutrophic lakes having a key role in denitrification and fermentation. Lignocellulose degradation was, however, dominated by species outside the core microbiome, i.e., there were differing key degraders between lakes, suggesting some level of lake-specialization. Among these we observed potential respiratory DNRA pathways, and they expressed a broad range of CAZymes targeting the various lignocellulose subfractions. Interestingly, many of the detected MAGs contained NO dismutases, enzymes postulated to convert NO to molecular oxygen and dinitrogen gas.

2026-04-30 | PXD069160 | Pride

Lake sediment core metagenome

Project description:Lake sediment core metagenome Raw sequence reads

| PRJNA669911 | ENA

Lake Taihu sediment metagenome

Project description:Lake Taihu sediment metagenome Raw sequence reads

| PRJNA831660 | ENA

Lake sediment samples LCMS data analysis

Project description:Metabolomic analysis of sediment samples specially for glycolipid analysis

2023-07-04 | MSV000092341 | MassIVE

Lake sediment

Project description:Lake sediment sequencing