Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Marchantiaceae

ABSTRACT: Taxonomic study on the family Marchantiaceae

PROVIDER: PRJDB14679 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	DRR436622_1.fastq.gz	Fastqsanger.gz
	DRR436622_2.fastq.gz	Fastqsanger.gz

Items per page:

1 - 2 of 2

Similar Datasets

Legionella species review

Project description:Taxonomic review of the Legionellacea family

| PRJEB84470 | ENA

Pleosporales taxonomy

Project description:Taxonomic study in Pleosporales

| PRJEB23733 | ENA

Homo sapiens

Project description:Autoimmune family study

| PRJNA93399 | ENA

Fungal diversity notes: taxonomic and phylogenetic contributions on genera and species of fungal taxa

Project description:Taxonomic study on marasmioid fungi.

| PRJEB53536 | ENA

Appropriate taxonomic classification of intestinal microbiome by 16S rRNA gene targeting metagenomic approach

Project description:16S metagenomic analysis has provided much information about the intestinal microbiome. However, there are no reports that describe their appropriate taxonomic classification rank. Moreover, studies differ on the taxonomic ranking of the same microorganism. Intestinal microbiome exerts a significant degree of influence on the host via the metabolome. In the present study, we searched for their appropriate classification ranks based on the correlation between the metabolome and microbiome. Over 200 metabolites were identified by capillary electrophoresis and time-of-flight mass spectrometry (CE-TOFMS) based metabolomics of faeces from antibiotics-treated and untreated mice. Nine phyla, 15 orders, 22 classes, 40 families, and 59 genera were identified by 16S metagenomic analysis. Principle component analysis (PCA) of the intestinal microbiome at each taxonomic rank revealed differences between the antibiotic-treated and untreated groups on the first principle component in the family and genus-level analyses. These differences were similar to those found in the metabolome PCA. In addition, a strong correlation between principle component score of the metabolome and that of the microbiome was observed in the case of family and genus-level analyses. From these results, we hypothesize that lower taxonomic ranks such as family or genus are preferable while using 16S metagenome analysis for investigating the crosstalk, via metabolites, between intestinal microbiome and the host.

2017-02-20 | MTBLS376 | MetaboLights

Taxonomic study of Paraburkholderia sp. Msb3

Project description:Taxonomic study of Paraburkholderia sp. Msb3

| PRJEB39367 | ENA

Massilia sp. strain:CCM8941

Project description:Taxonomic study of Antarctic environmental strains

| PRJNA791544 | ENA

E-GEOD-52774

Project description:Gene expression study in CLL of B-cell receptor triggering (mRNA Study)

2025-01-24 | E-GEOD-52774 | ExpressionAtlas

Project description:Integrative taxonomic review of the family Goniodorididae (Mollusca, Gastropoda, Nudibranchia)

| PRJNA1051643 | ENA