Eutrophobius brisbanensisTs


Citation

Formal styling
Eutrophobius brisbanensisTs Prabhu et al., 2024
Effective publication
Prabhu et al., 2024
SeqCode status
Valid (SeqCode)
Register List
seqco.de/r:sfdglxu8 (validated)
Canonical URL
https://seqco.de/i:46746

Nomenclature

Rank
Species
Syllabication
bris.ban.en'sis
Etymology
N.L. masc. adj. brisbanensis, of or belonging to Brisbane
Nomenclatural type
NCBI Assembly: GCA_038131795.1
Nomenclatural status
Validly published under the SeqCode

Taxonomy

Description
Inferred to break down a Chitin and Cellulose as well as carries genes for rTCA cycle to fix inorganic carbon (korABCD). Likely performing sulfate assimilation (cys), polyphosphate accumulation (ppk1) and osmoregulation (trkA, nqrF, mnh). Based on the genome reporting standards for MAGs , the estimated completeness was 98.24%, contamination 0.88%, and the presence of the 5S (110bp), 16S (1.540 bp), and 23S (2,877 bp) rRNA gene and 46 tRNAs. Type genome is defined as “high-quality” draft MAG,with genome size of 2.7Mbps.
Classification
Bacteria » Pseudomonadota » Gammaproteobacteria » Eutrophobiales » Eutrophobiaceae » Eutrophobius » Eutrophobius brisbanensisTs
Parent
Eutrophobius

Genomics

Accession
NCBI Assembly:GCA_038131795.1
Type
Metagenome-Assembled Genome (MAG)
Estimated Quality Metrics
  • Completeness: 98.24%
  • Contamination: 0.88%
  • Quality: 93.84
Ribosomal and transfer RNA genes
  • 1 16S rRNA (up to 100.0%)
  • 1 23S rRNA (up to 100.0%)
  • tRNAs for 20 amino acids
Source
Other features
  • G+C Content: 45.5%
  • Coding Density: 91.15%
  • Codon Table: 11
  • N50: 2,524,515 bp
  • Contigs: 9
  • Largest Contig: 2,524,515 bp
  • Assembly Length: 2,748,242 bp
  • Ambiguous Assembly Fraction: 0.0%
Submitter comments
Completeness and contamination were evaluated using CheckM v 1.1.3
Automated checks
Complete
See additional details

Metadata

Outside links and data sources
Search sequences
Local history
Registered by
Chuvochina, Maria 5 months ago
Submitted by
Chuvochina, Maria 3 months ago
Curators
Validated by
Rodriguez-R, Luis M 3 months ago
Date of priority
2024-08-12 01:22 AM (UTC)

Publications
1

Citation Title
Prabhu et al., 2024, ISME Communications Machine learning and metagenomics identifies uncharacterized taxa inferred to drive biogeochemical cycles in a subtropical hypereutrophic estuary
Effective publication



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