Metagenome-assembled genome: ERP110561_co1_16
uncultured Gammaproteobacteria bacterium
This sample represents a Third Party Annotation (TPA) Metagenome-assembled genome assembled from the metagenomic runs ERR3265217,ERR3265218 of study ERP110561.
ENA first public
2024-12-11
INSDC center name
CMR
INSDC status
public
Submitter Id
ERP110561_co1_16
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
host
collection date
2015-11-20
completeness score
88.19
completeness software
CheckM2;1.0.2;default
contamination score
0.18
environmental medium
host
geographic location (country and/or sea)
USA
geographic location (latitude)
26.0112
geographic location (longitude)
-80.1495
investigation type
metagenome-assembled genome
isolation_source
sponge metagenome
local environmental context
sponge biome
metagenomic source
sponge metagenome
project name
Cinachyrella keukenthali is quickly emerging as a model sponge. Its small size makes it ideal for laboratory sized aquaria and long-term experiments. It is also on the Global Invertebrate Genome Alliance's priority list for genome sequencing. Other experiments have also included a focused amplicon sequencing experiment wherein, two subtypes of Cinachyrella keukenthali may be present in the environment based on microbiome results and some of the ongoing efforts of the global sponge microbiome project. What is poorly understood is the functional potential of the sponge microbiota. We analysed two metagenomes of C. keukenthali to determine non-PCR biased taxonomic makeup, functional potential, metabonomic analysis, and an early look into the microeukaryotes that might be present in the sponge
sample derived from
SAMEA5554618,SAMEA5554619
sample name
ERP110561_co1_16
scientific_name
uncultured Gammaproteobacteria bacterium
sequencing method
NextSeq 500
taxonomic identity marker
multi-marker approach