Thioalkalivibrio sp. (DSM 13533, ALRh)

Name: Thioalkalivibrio sp. (DSM 13533, ALRh)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 4293

Type strain

Strain Designation ALRh

Culture col. no. DSM 13533 ALRh

NCBI tax ID(s) 1266911

Special Collections DSMZ

History DSMZ <- D. Y. Sorokin; ALRh

Links

ALRh is a bacterium that was isolated from soda lake.

genome sequence Bacteria

Name and taxonomic classification

SI-ID 113525

DSM 13533

@ref 20215

Last LPSN update 2026-05-29 08:25:54

Domain Bacteria

Phylum Pseudomonadota

Class Gammaproteobacteria

Order Chromatiales

Family Ectothiorhodospiraceae

Genus Thioalkalivibrio

Full scientific name Thioalkalivibrio corrig. Sorokin et al. 2001

Synonyms (1)

Thialkalivibrio

Morphology

Cell morphology

@ref	Gram stain	Confidence
125438	negative	99

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
5081	ALKALIPHILIC SULPHUR RESPIRING STRAINS MEDIUM (DSMZ Medium 925)		Medium recipe at MediaDive	Name: ALKALIPHILIC SULPHUR RESPIRING STRAINS MEDIUM (DSMZ Medium 925) Composition: Na2CO3 20.0 g/l NaHCO3 10.0 g/l NaCl 5.0 g/l K2HPO4 1.0 g/l MgCl2 x 6 H2O 0.2 g/l H3BO3 0.0006 g/l CoCl2 x 6 H2O 0.0004 g/l ZnSO4 x 7 H2O 0.0002 g/l Na2MoO4 x 2 H2O 6e-05 g/l MnCl2 x 4 H2O 6e-05 g/l NiCl2 x 6 H2O 4e-05 g/l CuCl2 x 2 H2O 2e-05 g/l EDTA 1e-05 g/l FeSO4 x 7 H2O 4e-06 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
5081	positive	growth	30

Physiology and metabolism

Spore formation

@ref	Spore formation	Confidence
125438		90.127
125439		96.875

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Aquatic	#Lake (large)
#Condition	#Alkaline	-

Isolation

@ref	Sample type	Country	Country ISO 3 Code	Continent
5081	soda lake	Kenya	KEN	Africa

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM38142v1 assembly for Thioalkalivibrio sp. ALRh	scaffold	GCA_000381425	1266911.3	2521172674	1266911	76.07

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM38142v1 assembly for Thioalkalivibrio sp. ALRh
BV-BRC: 1266911.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	62.60	no
125439	gram_stain	BacteriaNetⓘ	negative	49.34	no
125439	motility	BacteriaNetⓘ	yes	54.44	no
125439	spore_formation	BacteriaNetⓘ	no	96.88	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Thioalkalivibrio sp. ALRh ALRh
NCBI: GCA_000381425.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	99.00	no
125438	anaerobic	anaerobicⓘ	no	59.75	no
125438	aerobic	aerobicⓘ	yes	51.29	no
125438	spore-forming	spore-formingⓘ	no	90.13	no
125438	thermophilic	thermophileⓘ	no	93.96	no
125438	flagellated	motile2+ⓘ	yes	73.86	no

Literature

References

#5081	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 13533
#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 .
#126262	A. Lissin, I. Schober, J. F. Witte, H. Lüken, A. Podstawka, J. Koblitz, B. Bunk, P. Dawyndt, P. Vandamme, P. de Vos, J. Overmann, L. C. Reimer: StrainInfo—the central database for linked microbial strain identifiers. ( DOI 10.1093/database/baaf059 )

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