Marisalimonas marinaTs


Citation

Formal styling
Marisalimonas 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:46735

Nomenclature

Rank
Species
Syllabication
ma.ri'na
Etymology
L. fem. adj. marina, of the sea, marine
Nomenclatural type
NCBI Assembly: GCA_038131365.1
Nomenclatural status
Validly published under the SeqCode

Taxonomy

Description
Inferred to break down a wide range of organic carbon substrates (Chitin, Pectin, Mucin and Starch) as well as fix inorganic carbon via the Calvin cyle (rbcLS). Capable of nitrate (NRT2), sulphate (ssu) and phosphorus uptake (pst, pho) and regulation, as well as osmoregulate via multiple genes (trkA, nqrF, mnh, proXV). Could have possible motility using motAB and fliGMN genes. Based on the genome reporting standards for MAGs, the estimated completeness 91.69%, contamination 0.14%, and the presence of the 5S (109 bp), 16S (1,482 bp), and 23S (2,712 bp) rRNA gene and 32 tRNAs. Type genome is defined as “high-quality” draft MAG, with six contigs, genome size of 1.9Mbps.
Classification
Bacteria » Pseudomonadota » Alphaproteobacteria » Puniceispirillales » Marisalimonadaceae » Marisalimonas » Marisalimonas marinaTs
Parent
Marisalimonas

Genomics

Accession
NCBI Assembly:GCA_038131365.1
Type
Metagenome-Assembled Genome (MAG)
Estimated Quality Metrics
  • Completeness: 91.69%
  • Contamination: 0.14%
  • Quality: 90.99
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: 32.0%
  • Coding Density: 92.64%
  • Codon Table: 11
  • N50: 550,509 bp
  • Contigs: 6
  • Largest Contig: 711,806 bp
  • Assembly Length: 1,968,237 bp
  • Ambiguous Assembly Fraction: 0.0%
Automated checks
Complete
See additional details

Last modified 8 days ago

Metadata

Outside links and data sources
Search sequences
Local history
Registered by
Chuvochina, Maria 6 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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