Name: Haladaptatus salinisoli PSR8
Creator: BacDive
License: https://creativecommons.org/licenses/by/4.0/

Strain identifier

BacDive ID: 170243

Type strain:

Species: Haladaptatus salinisoli

Strain Designation: PSR8

Culture col. no.: CGMCC 1.17025, JCM 34142

NCBI tax ID(s): 2884876 (species)

Special Collections

When using BacDive for research please cite our paper

Haladaptatus salinisoli PSR8 is an archaeon of the family Halobacteriaceae.

16S sequence
Archaea
genome sequence

Information on the name and the taxonomic classification. Name and taxonomic classification

	Last LPSN update	09-12-2024 (DD-MM-YYYY)
	Domain	*Archaea*
	Phylum	*Methanobacteriota*
	Class	*Halobacteria*
	Order	*Halobacteriales*
	Family	*Halobacteriaceae*
	Genus	*Haladaptatus*
	Species	**Haladaptatus salinisoli**
	Full Scientific Name (LPSN)	Haladaptatus salinisoli Xin et al. 2022

Information on physiology and metabolism Physiology and metabolism

[Ref.: #125439]

Ability of spore formation

no Confidence in %91.8

Information on genomic background e.g. entries in nucleic sequence databass Sequence information

16S Sequence information:

	Sequence accession description	Seq. accession number	Sequence length (bp)	Sequence database	Associated NCBI tax ID
[Ref.: #20215]	Haladaptatus salinisoli strain PSR8 16S ribosomal RNA gene, partial sequence	MK680098	1472	GenBank ENA	2884876 tax ID	*

Genome sequence information:

	Sequence accession description	Seq. accession number	Assembly level	Sequence database	Associated NCBI tax ID
[Ref.: #66792]	Haladaptatus salinisoli PSR8	GCA_020614375	complete	GenBank ENA	2884876 tax ID	*

Data predicted using genome information as a basis Genome-based predictions

	Model	Trait	Prediction	Confidence in %	In training data
	Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Haladaptatus salinisoli PSR8 NCBI: GCA_020614375.1
[Ref.: #125438]	gram-positive	gram-positiveⓘ	no	74.301	no
[Ref.: #125438]	anaerobic	anaerobicⓘ	no	83.407	no
[Ref.: #125438]	aerobic	aerobicⓘ	yes	83.315	no
[Ref.: #125438]	spore-forming	spore-formingⓘ	no	80.481	no
[Ref.: #125438]	thermophile	thermophilicⓘ	no	72.65	no
[Ref.: #125438]	motile2+	flagellatedⓘ	no	86	no

	Model	Trait	Prediction	Confidence in %
	Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Haladaptatus salinisoli PSR8 NCBI: GCA_020614375
[Ref.: #125439]	BacteriaNet	spore_formationⓘ	no	91.8
[Ref.: #125439]	BacteriaNet	motilityⓘ	no	56.5
[Ref.: #125439]	BacteriaNet	gram_stainⓘ	negative	89.2
[Ref.: #125439]	BacteriaNet	oxygen_toleranceⓘ	aerobe	79.3

Availability in culture collections External links

[Ref.: #20215]

Culture collection no.

CGMCC 1.17025, JCM 34142

Literature:

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Haladaptatus halobius sp. nov. and Haladaptatus salinisoli sp. nov., two extremely halophilic archaea isolated from Gobi saline soil.	Xin YJ, Bao CX, Tan S, Hou J, Cui HL	Int J Syst Evol Microbiol	10.1099/ijsem.0.005543	2022	*

References

#20215

Parte, 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 DSMZ. IJSEM ( DOI 10.1099/ijsem.0.004332 )

#66792

Julia Koblitz, Joaquim Sardà, Lorenz Christian Reimer, Boyke Bunk, Jörg Overmann: Automatically annotated for the DiASPora project (Digital Approaches for the Synthesis of Poorly Accessible Biodiversity Information) .

#125438

Julia Koblitz, Lorenz Christian Reimer, Rüdiger Pukall, Jörg Overmann: Predicting bacterial phenotypic traits through improved machine learning using high-quality, curated datasets. 2024 ( DOI 10.1101/2024.08.12.607695 )

#125439

Philipp Münch, René Mreches, Martin Binder, Hüseyin Anil Gündüz, Xiao-Yin To, Alice McHardy: deepG: Deep Learning for Genome Sequence Data. R package version 0.3.1 .

* These data were automatically processed and therefore are not curated

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