Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: Microbial diversity of Lake Taihu 2023-2024

PROVIDER: PRJNA1225125 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR32387347.fastq.gz	Fastqsanger.gz

Items per page:

1 - 1 of 1

Similar Datasets

Project description:Microbial diversity of sediments in North Taihu Lake.

| PRJNA672272 | ENA

Project description:Microbial diversity of sediments in North Taihu Lake.

| PRJNA663426 | ENA

Project description:Microbial diversity of sediments in North Taihu Lake.

| PRJNA663202 | ENA

Project description:Microbial deversity in Taihu Lake

| PRJNA982725 | ENA

Project description:Taihu Lake

| PRJNA950614 | ENA

Diel cycles of gene expression in oligotrophic, dystrophic, and eutrophic lakes to identify new gene functions and dissect carbon cycling metabolisms

Project description:Aquatic microbial communities contain a vast amount of genetic diversity and we have much to learn about how this manifests to functional diversity. Existing long-term time series data includes 16S tags, metagenomes, single amplified genomes (SAGs), and genomes from metagenomes (GFMs). Information about functional diversity and metabolic capabilities is often unavailable. The study sites include three lakes that are the subject of intense study through the North Temperate Lakes Long Term Ecological Research site: Sparkling Lake (oligotrophic), Lake Mendota (eutrophic), and Trout Bog Lake (dystrophic). The work (proposal:https://doi.org/10.46936/10.25585/60000947) 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.

2023-11-02 | MSV000093272 | 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

Climate warming and nutrient enrichment jointly affect microbial functional potentials important to nutrient cycling in shallow-lake mesocosms

Project description:Here, we applied a microarray-based metagenomics technology termed GeoChip 5.0 to investigate spring microbial functional genes in mesocosm-simulated shallow lake ecosystems having been undergoing nutrient enrichment and warming for nine years.

2020-12-30 | GSE155582 | GEO

Project description:Taihu lake sample sequence

| PRJNA655597 | ENA

aquatic metagenome

Project description:Taihu Lake Random survey

| PRJNA181101 | ENA