characteristics.text: ERC000047
characteristics.characteristic: ENA-CHECKLIST
characteristics.text: 2023-01-23T12:23:02Z
characteristics.characteristic: ENA-FIRST-PUBLIC
characteristics.text: 2023-01-23T12:23:02Z
characteristics.characteristic: ENA-LAST-UPDATE
characteristics.text: SAMEA112250314
characteristics.characteristic: External Id
characteristics.text: EMG
characteristics.characteristic: INSDC center name
characteristics.text: 2023-01-23T12:23:02Z
characteristics.characteristic: INSDC first public
characteristics.text: 2023-01-23T12:23:02Z
characteristics.characteristic: INSDC last update
characteristics.text: public
characteristics.characteristic: INSDC status
characteristics.text: ERS14361177
characteristics.characteristic: SRA accession
characteristics.text: SRR18243799_bin.43_metawrap_v1.3_MAG
characteristics.characteristic: Submitter Id
characteristics.text: Many fragments with little to no review of assembly other than reporting of standard assembly statistics
characteristics.characteristic: assembly quality
characteristics.text: metaSPAdes v3.15.3
characteristics.characteristic: assembly software
characteristics.text: MaxBin2, MetaBat2, Concoct with default parameter of the metaWRAP pipeline. Bin refinement module used from metaWRAP with default parameters.
characteristics.characteristic: binning parameters
characteristics.text: metawrap v1.3
characteristics.characteristic: binning software
characteristics.text: mouse digestive system
characteristics.characteristic: broad-scale environmental context
characteristics.text: EBI-EMG
characteristics.characteristic: broker name
characteristics.text: 2016-03-10
characteristics.characteristic: collection date
characteristics.text: 97.55
characteristics.unit: %
characteristics.characteristic: completeness score
characteristics.text: CheckM
characteristics.characteristic: completeness software
characteristics.text: 0.57
characteristics.unit: %
characteristics.characteristic: contamination score
characteristics.text: This sample represents a Third Party Annotation (TPA) Metagenome-Assembled Genome (MAG) assembled from the metagenomic run SRR18243799 of study SRP362674.
characteristics.characteristic: description
characteristics.text: feces
characteristics.characteristic: environmental medium
characteristics.text: Germany
characteristics.characteristic: geographic location (country and/or sea)
characteristics.text: 52.62686
characteristics.unit: DD
characteristics.characteristic: geographic location (latitude)
characteristics.text: 13.507567
characteristics.unit: DD
characteristics.characteristic: geographic location (longitude)
characteristics.text: metagenome-assembled genome
characteristics.characteristic: investigation type
characteristics.text: mouse gut metagenome
characteristics.characteristic: isolation_source
characteristics.text: digestive tube
characteristics.characteristic: local environmental context
characteristics.text: mouse gut metagenome
characteristics.characteristic: metagenomic source
characteristics.text: uncultured Muribaculaceae bacterium
characteristics.characteristic: organism
characteristics.text: Hypertension (HTN) can lead to heart and kidney damage. The gut microbiota has been linked to HTN, although it is difficult to estimate its significance due to the variety of other features known to influence HTN. In the present study, we used germ-free (GF) and colonized (COL) littermate mice to quantify the impact of microbial colonization on organ damage in HTN.&lt;/p&gt;&lt;p&gt;Four-week-old male GF C57BL/6J littermates were randomized to remain GF or receive microbial colonization. HTN was induced by subcutaneous infusion with angiotensin (Ang) II (1.44mg/kg/d) and 1% NaCl in the drinking water; sham-treated mice served as control. Renal damage was exacerbated in GF mice, whereas cardiac damage was more comparable between COL and GF, suggesting that the kidney is more sensitive to microbial influence. Multivariate analysis revealed a larger effect of HTN in GF mice. Serum metabolomics demonstrated that the colonization status influences circulating metabolites relevant to HTN. Importantly, GF mice were deficient in anti-inflammatory fecal short-chain fatty acids (SCFA). Flow cytometry showed that the microbiome has an impact on the induction of anti-hypertensive myeloid-derived suppressor cells and pro-inflammatory Th17 cells in HTN. In vitro inducibility of Th17 cells was significantly higher for cells isolated from GF than conventionally raised mice.&lt;/p&gt;&lt;p&gt;Microbial colonization status of mice had potent effects on their phenotypic response to a hypertensive stimulus, and the kidney is a highly microbiota-susceptible target organ in HTN. The magnitude of the pathogenic response in GF mice underscores the role of the microbiome in mediating inflammation in HTN.
characteristics.characteristic: project name
characteristics.text: SAMN26378637
characteristics.characteristic: sample derived from
characteristics.text: uncultured Muribaculaceae bacterium
characteristics.characteristic: scientific_name
characteristics.text: Illumina NovaSeq 6000
characteristics.characteristic: sequencing method
characteristics.text: The taxonomy of this metagenome-assembled genome was originally computed with GTDBtk, which assigned the following taxonomic annotation: d__Bacteria;p__Bacteroidetes;c__Bacteroidia;o__Bacteroidales;f__Muribaculaceae;g__;s__
characteristics.characteristic: taxonomic classification
characteristics.text: multi-marker approach
characteristics.characteristic: taxonomic identity marker
characteristics.text: Metagenome-assembled genome: SRR18243799_bin.43_metawrap_v1.3_MAG
characteristics.characteristic: title