Eutrophosalina marinaTs


Citation

Formal styling
Eutrophosalina marinaTs 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:46729

Nomenclature

Rank
Species
Syllabication
ma.ri'na
Etymology
L. fem. adj. marina, of the sea, marine
Nomenclatural type
NCBI Assembly: GCA_038147175.1
Nomenclatural status
Validly published under the SeqCode

Taxonomy

Description
Inferred to be marine ecotype, and can break down a wide range of organic carbon substrates (Chitin, Pectin, Mucin, Cellulose, Sulfated polysaccharides and Starch). Also carries a polyphosphate kinase gene for polyphosphate accumulation, likely fuelling cytochrome c oxidase (coxABCD). Can perform osmoregulation using trk1 (K+ transporter) and nqrF (Na+ transporter). Based on the genome reporting standards for MAGs, the estimated completeness was 96.32%, contamination 0%, and the presence of the 16S (1,522 bp), and 23S (2,775 bp) rRNA gene and 34 tRNAs. Type genome is defined as “high-quality” draft MAG, having two contigs and a genome size of 1.5Mbps.
Classification
Bacteria » Bacteroidota » Flavobacteriia » Flavobacteriales » Flavobacteriaceae » Eutrophosalina » Eutrophosalina marinaTs
Parent
Eutrophosalina

Genomics

Accession
NCBI Assembly:GCA_038147175.1
Type
Metagenome-Assembled Genome (MAG)
Estimated Quality Metrics
  • Completeness: 96.32%
  • Contamination: 0.0%
  • Quality: 96.32
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: 29.5%
  • Coding Density: 94.94%
  • Codon Table: 11
  • N50: 1,478,525 bp
  • Contigs: 2
  • Largest Contig: 1,478,525 bp
  • Assembly Length: 1,520,509 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 3 months ago
Submitted by
Chuvochina, Maria about 1 month ago
Curators
Validated by
Rodriguez-R, Luis M 29 days 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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