Australimonas brisbanensisTs


Citation

Formal styling
Australimonas 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:46731

Nomenclature

Rank
Species
Syllabication
bris.ban.en'sis
Etymology
N.L. fem. adj. brisbanensis, of or belonging to Brisbane
Nomenclatural type
NCBI Assembly: GCA_038147155.1
Nomenclatural status
Validly published under the SeqCode

Taxonomy

Description
This is a novel group of the order and family UBA2963. Inferred to degrade Mucin, and carry genes for phosphate and phosphonate transporters. Can perform osmoregulation using trkA (K+ transporter) and multicomponent Na+/H+ transportation (mnh). Based on the genome reporting standards for MAGs, the estimated completeness was 98.68%, contamination 0%, and the presence of the 16S (1,472 bp), and 23S (2,898 bp) rRNA gene and 46 tRNAs. Type genome is defined as “high-quality” draft MAG, and a genome size of 1.9Mbps.
Classification
Bacteria » Chloroflexota » Dehalococcoidia » Australimonadales » Australimonadaceae » Australimonas » Australimonas brisbanensisTs
Parent
Australimonas

Genomics

Accession
NCBI Assembly:GCA_038147155.1
Type
Metagenome-Assembled Genome (MAG)
Estimated Quality Metrics
  • Completeness: 98.68%
  • Contamination: 0.0%
  • Quality: 98.68
Ribosomal and transfer RNA genes
  • 1 16S rRNA (up to 100.0%)
  • 1 23S rRNA (up to 100.0%)
  • tRNAs for 21 amino acids
Source
Other features
  • G+C Content: 70.6%
  • Coding Density: 90.66%
  • Codon Table: 11
  • N50: 158,954 bp
  • Contigs: 18
  • Largest Contig: 394,769 bp
  • Assembly Length: 1,871,706 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



© 2022-2024 The SeqCode Initiative
  All information contributed to the SeqCode Registry is released under the terms of the Creative Commons Attribution (CC BY) 4.0 license