Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Hot springs metagenome

ABSTRACT: Metagenome study of Peruvian hotsprings

PROVIDER: PRJNA323673 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR3608531_1.fastq.gz	Fastqsanger.gz
	SRR3608531_2.fastq.gz	Fastqsanger.gz
	SRR3608532_1.fastq.gz	Fastqsanger.gz
	SRR3608532_2.fastq.gz	Fastqsanger.gz
	SRR3608533_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 18

Similar Datasets

hot springs metagenome

Project description:Metagenome study of Peruvian hotsprings(MS Samples)

| PRJNA323679 | ENA

hot springs metagenome

Project description:Metagenome study of Peruvian hotsprings (Hua sample)

| PRJNA323680 | ENA

hot springs metagenome

Project description:Metagenome study of Peruvian hotsprings(CS sample)

| PRJNA323674 | ENA

hot springs metagenome

Project description:Metagenome study of Peruvian hotsprings(AA2 sample)

| PRJNA323676 | ENA

hot springs metagenome

Project description:Metagenome study of Peruvian hotsprings(AS2 sample)

| PRJNA323677 | ENA

hot springs metagenome

Project description:Microbial genome sequencing and assembly of isolates from hotsprings of India

| PRJNA356103 | ENA

Soil metagenome from avocado orchards in Channybearup, Western Australia in 2024

Project description:Metagenome data from soil samples were collected at 0 to 10cm deep from 2 avocado orchards in Channybearup, Western Australia, in 2024. Amplicon sequence variant (ASV) tables were constructed based on the DADA2 pipeline with default parameters.

2025-06-15 | GSE298403 | GEO

Investigation of Microbial Diversity in Geothermal Hot Springs in Unkeshwar, India, Based on 16S rRNA Amplicon Metagenome Sequencing.

Project description:Microbial diversity in geothermal waters of the Unkeshwar hot springs in Maharashtra, India, was studied using 16S rRNA amplicon metagenomic sequencing. Taxonomic analysis revealed the presence of Bacteroidetes, Proteobacteria, Cyanobacteria, Actinobacteria, Archeae, and OD1 phyla. Metabolic function prediction analysis indicated a battery of biological information systems indicating rich and novel microbial diversity, with potential biotechnological applications in this niche.

| S-EPMC4767922 | biostudies-literature

Yellowstone Hot Springs are Organic Chemodiversity Hot Spots.

Project description:Yellowstone National Park hydrothermal springs were investigated according to their organic geochemistry with a special focus on the Yellowstone hot spring dissolved organic matter (YDOM) that was solid-phase extracted. Here we show that YDOM has a unique chemodiversity that has not yet been observed anywhere else in aquatic surface environments and that Yellowstone hot springs are organic chemodiversity hot spots. Four main geochemically classified hot spring types (alkaline-chloride, mixed alkaline-chloride, acid-chloride-sulfate and travertine-precipitating) exhibited distinct organic molecular signatures that correlated remarkably well with the known inorganic geochemistry and manifested themselves in excitation emission matrix fluorescence, nuclear magnetic resonance, and ultrahigh resolution mass spectra. YDOM contained thousands of molecular formulas unique to Yellowstone of which 80% contained sulfur, even in low hydrogen sulfide containing alkaline-chloride springs. This unique YDOM reflects the extreme organic geochemistry present in the hydrothermal features of Yellowstone National Park.

| S-EPMC6147864 | biostudies-literature

hot springs metagenome

Project description:Hot spring microbial communities from Beatty, Nevada to study Microbial Dark Matter (Phase II) - OV2 TP1 metagenome

| PRJNA367387 | ENA