Metagenome-assembled genome: binchicken_co8_186
uncultured Spirochaetaceae bacterium
This sample represents a Third Party Annotation (TPA) Metagenome-assembled genome assembled from the metagenomic runs ERR1878617,ERR2407577 of study ERP021393.
ENA first public
2024-12-11
INSDC center name
CMR
INSDC status
public
Submitter Id
binchicken_co8_186
assembly quality
Many fragments with little to no review of assembly other than reporting of standard assembly statistics
assembly software
metaSPAdes;3.15.4;default
binning parameters
coverage and kmer
binning software
MetaBAT2;2.15;default
broad-scale environmental context
terrestrial
collection date
2013-12-02
completeness score
91.77
completeness software
CheckM2;1.0.2;default
contamination score
0.94
environmental medium
terrestrial
geographic location (country and/or sea)
Chile
geographic location (latitude)
-23.730056
geographic location (longitude)
-68.246861
investigation type
metagenome-assembled genome
isolation_source
microbial mat metagenome
local environmental context
microbial mat biome
metagenomic source
microbial mat metagenome
project name
High Andean Mountain lakes are a unique extreme environment all over the world since their locations are in high altitude saline deserts, largely influenced by volcanic activity. UV radiation, arsenic content, high salinity, and low dissolved oxygen content, together with extreme daily temperature fluctuations and oligotrophic conditions, shape up an environment that recreates the early earth and, even more, the extraterrestrial conditions. The discovery of living microbialites and microbial mats in 2009 has increased the interest in this area as an early earth counterpart. Since then, and up to now, we have started a prospection for this kind of environments in Argentina, Chile and Bolivia. In this study, we report our metagenomic WGS results from several of these unique environments
sample derived from
SAMEA81453418
sample name
binchicken_co8_186
scientific_name
uncultured Spirochaetaceae bacterium
sequencing method
Illumina HiSeq 1500
taxonomic identity marker
multi-marker approach