Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: Farmland Microbiome and the Functional Genes in Coal-Mining Subsidence Farmland

PROVIDER: PRJNA858132 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR20115018_1.fastq.gz	Fastqsanger.gz
	SRR20115018_2.fastq.gz	Fastqsanger.gz
	SRR20115019_1.fastq.gz	Fastqsanger.gz
	SRR20115019_2.fastq.gz	Fastqsanger.gz
	SRR20115020_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 12

Similar Datasets

Project description:Soil Nutrients Loss and Distribution of Farmland Microbiome and the Functional Genes in Coal-Mining Subsidence Farmland

| PRJNA857907 | ENA

Soil Bacterial Community in Coal Mining Subsidence Analysis

Project description:Soil Bacterial Community in Coal Mining Subsidence Analysis Raw sequence reads

| PRJNA631466 | ENA

Soil Bacterial Community in Coal Mining Subsidence Analysis

Project description:Soil Bacterial Community in Coal Mining Subsidence Analysis Raw sequence reads

| PRJNA633226 | ENA

Embryonic exposure to an aqueous coal dust extract results in gene expression alterations associated with development and function of connective tissue and the hematological system in zebrafish

Project description:Coal is a major energy source that generates diverse environmental impacts through its production, primarily by the release of coal dust particles. An aqueous coal dust extract was obtained from a mineral sample taken from one of the largest coal mines in Colombia (La Loma, Cesar), trace elements by ICP/MS were measured, and its toxicity evaluated using the zebrafish (Danio rerio) vertebrate model. In this study, zebrafish embryos were exposed to different concentrations of aqueous coal extract (0, 0.1, 1, 10, 100 and 1000 parts per million (ppm; μg/mL) to establish acute toxicity, as well as morphological and transcriptome alterations. Trace elements within the coal extract yielding the highest concentrations included Sr, Zn, Ba, As, Cu, Se, Li, Ni, Sb, Rb, Co, and Cr. In addition, Cd and Pb were found in lower concentrations. No significant difference in mortality was observed with survival near 90% in all treatments. A significant decrease in rate of hatching was observed in the 0.1 and 1000 ppm treatment groups at 72 hpf. Furthermore, no significant differences in total body length, head length, or head diameter was observed in any of the treatment groups. Transcriptomic results of zebrafish larvae revealed alterations in 77, 61, and 1,376 genes in the 1, 10, and 100 ppm treatments, respectively. Gene ontology analysis revealed gene alterations associated with hematological system development and function, tissue morphology and development, connective tissue development and function, and embryonic development. Overall, these findings are the first to identify gene expression alterations in response to a developmental aqueous coal dust residue from coal mining.

2017-11-30 | GSE94997 | GEO

Project description:Spatial variations of aquatic bacterial community structure and co-occurrence patterns in coal mining subsidence lake

| PRJNA864567 | ENA

Single cell RNA sequencing of rat lung tissues to characterize blast exposure-induced cell heterogeneity

Project description:Coal mining carries inherent risks of catastrophic gas explosions capable of inflicting severe lung injury. Using a rat model, we explored mechanisms underlying alveolar epithelial damage and repair following a gas explosion. By performing scRNA-sequencing, we revealed that alveolar epithelial cells exhibited the most profound transcriptomic changes after gas explosion compared to other pulmonary cell types.

2024-01-18 | GSE252844 | GEO

Project description:Seasonal succession of microbial community co-occurrence patterns and community assembly mechanism in coal mining subsidence lakes

| PRJNA923449 | ENA

Project description:Deciphering Soil Bacterial Community Structure in Subsidence by Underground Coal Mining in Arid and Semi-Arid Area

| PRJNA643014 | ENA

Nassar2022 - Microbiome target gene NER model

Project description:Microbiome target gene model is a Named Entity Recognition (NER) model that identifies and annotates microbiome target genes, phylogenetic marker genes or hypervariable regions in texts. This is the final model version used to annotate metagenomics publications in Europe PMC and enrich metagenomics studies in MGnify with target genes metadata from literature. For more information, please refer to the following blogs: http://blog.europepmc.org/2020/11/europe-pmc-publications-metagenomics-annotations.html https://www.ebi.ac.uk/about/news/service-news/enriched-metadata-fields-mgnify-based-text-mining-associated-publications

2022-02-21 | MODEL2202170005 | BioModels

Project description:Mining specific functional microorganisms in the soil microbiome

| PRJNA1112982 | ENA