Strain identifier

BacDive ID: 170243

Type strain: Yes

Species: Haladaptatus salinisoli

Strain Designation: PSR8

NCBI tax ID(s): 2884876 (species)

For citation purpose refer to the digital object identifier (doi) of the current version.
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General

@ref: 20215

BacDive-ID: 170243

keywords: genome sequence, 16S sequence, Archaea

description: Haladaptatus salinisoli PSR8 is an archaeon of the family Halobacteriaceae.

NCBI tax id

  • NCBI tax id: 2884876
  • Matching level: species

doi: 10.13145/bacdive170243.20250331.9.3

Name and taxonomic classification

LPSN

  • @ref: 20215
  • description: domain/archaea
  • keyword: phylum/methanobacteriota
  • domain: Archaea
  • phylum: Methanobacteriota
  • class: Halobacteria
  • order: Halobacteriales
  • family: Halobacteriaceae
  • genus: Haladaptatus
  • species: Haladaptatus salinisoli
  • full scientific name: Haladaptatus salinisoli Xin et al. 2022

@ref: 20215

domain: Archaea

phylum: Euryarchaeota

class: Halobacteria

order: Halobacteriales

family: Halobacteriaceae

genus: Haladaptatus

species: Haladaptatus salinisoli

full scientific name: Haladaptatus salinisoli Xin et al. 2022

strain designation: PSR8

type strain: yes

Physiology and metabolism

spore formation

  • @ref: 125439
  • spore formation: no
  • confidence: 91.8

Sequence information

16S sequences

  • @ref: 20215
  • description: Haladaptatus salinisoli strain PSR8 16S ribosomal RNA gene, partial sequence
  • accession: MK680098
  • length: 1472
  • database: nuccore
  • NCBI tax ID: 2884876

Genome sequences

  • @ref: 66792
  • description: Haladaptatus salinisoli PSR8
  • accession: GCA_020614375
  • assembly level: complete
  • database: ncbi
  • NCBI tax ID: 2884876

Genome-based predictions

predictions

@refmodeltraitdescriptionpredictionconfidencetraining_data
125438gram-positivegram-positivePositive reaction to Gram-stainingno74.301no
125438anaerobicanaerobicAbility to grow under anoxygenic conditions (including facultative anaerobes)no83.407no
125438aerobicaerobicAbility to grow under oxygenic conditions (including facultative aerobes)yes83.315no
125438spore-formingspore-formingAbility to form endo- or exosporesno80.481no
125438thermophilethermophilicAbility to grow at temperatures above or equal to 45°Cno72.65no
125438motile2+flagellatedAbility to perform flagellated movementno86no
125439BacteriaNetspore_formationAbility to form endo- or exosporesno91.8
125439BacteriaNetmotilityAbility to perform movementno56.5
125439BacteriaNetgram_stainReaction to gram-stainingnegative89.2
125439BacteriaNetoxygen_toleranceOxygenic conditions needed for growthaerobe79.3

External links

@ref: 20215

culture collection no.: CGMCC 1.17025, JCM 34142

literature

  • topic: Phylogeny
  • Pubmed-ID: 36256551
  • title: Haladaptatus halobius sp. nov. and Haladaptatus salinisoli sp. nov., two extremely halophilic archaea isolated from Gobi saline soil.
  • authors: Xin YJ, Bao CX, Tan S, Hou J, Cui HL
  • journal: Int J Syst Evol Microbiol
  • DOI: 10.1099/ijsem.0.005543
  • year: 2022
  • mesh: RNA, Ribosomal, 16S/genetics, Phylogeny, *Soil, DNA, Archaeal/genetics, Base Composition, Sequence Analysis, DNA, Fatty Acids/chemistry, DNA, Bacterial/genetics, Bacterial Typing Techniques, *Halobacteriaceae, Glycolipids/chemistry, Sulfates, Phosphatidylglycerols/analysis, Nucleotides, Amino Acids, Phosphatidic Acids/analysis, Esters
  • topic2: Transcriptome

Reference

@idauthorstitledoi/url
20215Parte, A.C., Sardà Carbasse, J., Meier-Kolthoff, J.P., Reimer, L.C. and Göker, M.List of Prokaryotic names with Standing in Nomenclature (LPSN) moves to the DSMZ10.1099/ijsem.0.004332
66792Julia Koblitz, Joaquim Sardà, Lorenz Christian Reimer, Boyke Bunk, Jörg OvermannAutomatically annotated for the DiASPora project (Digital Approaches for the Synthesis of Poorly Accessible Biodiversity Information)https://diaspora-project.de/progress.html#genomes
125438Julia Koblitz, Lorenz Christian Reimer, Rüdiger Pukall, Jörg OvermannPredicting bacterial phenotypic traits through improved machine learning using high-quality, curated datasets10.1101/2024.08.12.607695
125439Philipp Münch, René Mreches, Martin Binder, Hüseyin Anil Gündüz, Xiao-Yin To, Alice McHardydeepG: Deep Learning for Genome Sequence Data. R package version 0.3.1https://github.com/GenomeNet/deepG