Thioalkalivibrio versutus (DSM 13738, CBS 100464, AL2)

Name: Thioalkalivibrio versutus (DSM 13738, CBS 100464, AL2)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 4288

Type strain

Strain Designation AL2

Culture col. no. DSM 13738 CBS 100464 AL2

NCBI tax ID(s) 106634

Special Collections DSMZ

History DSMZ <- D. Y. Sorokin; AL2

Links

Thioalkalivibrio versutus AL2 is a bacterium that was isolated from soda lake.

16S sequence Bacteria

Name and taxonomic classification

SI-ID 101026

CBS 100464,DSM 13738,NCCB 95055,LMD 95.55

@ref 20215

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

Domain Bacteria

Phylum Pseudomonadota

Class Gammaproteobacteria

Order Chromatiales

Family Ectothiorhodospiraceae

Genus Thioalkalivibrio

Species Thioalkalivibrio versutus

Full scientific name Thioalkalivibrio versutus corrig. Sorokin et al. 2001

Synonyms (1)

Thialkalivibrio versutus

Morphology

Cell morphology

@ref	Gram stain	Confidence
125438	negative	99

Multimedia

@ref:	66793
multimedia content:	EM_DSM_13738_1.jpg
multimedia.multimedia content:	EM_DSM_13738_1.jpg
caption:	electron microscopic image
intellectual property rights:	© HZI/Manfred Rohde
manual_annotation:	1

@ref:	66793
multimedia content:	EM_DSM_13738_2.jpg
multimedia.multimedia content:	EM_DSM_13738_2.jpg
caption:	electron microscopic image
intellectual property rights:	© HZI/Manfred Rohde
manual_annotation:	1

@ref:	66793
multimedia content:	EM_DSM_13738_3.jpg
multimedia.multimedia content:	EM_DSM_13738_3.jpg
caption:	electron microscopic image
intellectual property rights:	© HZI/Manfred Rohde
manual_annotation:	1

@ref:	66793
multimedia content:	EM_DSM_13738_4.jpg
multimedia.multimedia content:	EM_DSM_13738_4.jpg
caption:	electron microscopic image
intellectual property rights:	© HZI/Manfred Rohde
manual_annotation:	1

@ref:	66793
multimedia content:	EM_DSM_13738_5.jpg
multimedia.multimedia content:	EM_DSM_13738_5.jpg
caption:	electron microscopic image
intellectual property rights:	© HZI/Manfred Rohde
manual_annotation:	1

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
5136	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)
5136	positive	growth	30

Physiology and metabolism

Spore formation

@ref	Spore formation	Confidence
125439		95.793

Isolation, sampling and environmental information

Isolation source categories

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

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
5136	soda lake	Siberia	Russia	RUS	Asia

Taxonmaps

69479

Global distribution of 16S sequence FR749906 (>99% sequence identity) for Thioalkalivibrio versutus subclade from Microbeatlas

Aquatic Samples	620
Soil Samples	133
Animal Samples	264
Plant Samples	6
Total Samples	1023

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
5136	1	Risk group (German classification) According to TRBA 466

Sequence information

Genome sequences

@ref	Description	Assembly level	IMG accession	NCBI tax ID	Score	BV-BRC accession
66792	Thioalkalivibrio versutus AL2	complete	2517487020	886877	89.9
66792	Thioalkalivibrio versutus AL2	contig		886877	24.6	886877.3

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
5136	Thioalcalovibrio versutus 16S ribosomal RNA gene, partial sequence	AF126546	1433		886877
5136	Thioalkalivibrio versutus partial 16S rRNA gene, type strain DSM 13738T	FR749906	1538		106634

GC content

5136

GC-content (mol%)63.7

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Thioalkalivibrio versutus AL2
BV-BRC: 886877.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	aerobe	71.04	no
125439	gram_stain	BacteriaNetⓘ	negative	79.05	no
125439	motility	BacteriaNetⓘ	yes	65.37	no
125439	spore_formation	BacteriaNetⓘ	no	95.79	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Thioalkalivibrio versutus AL2
PATRIC: 886877.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	99.00	no
125438	anaerobic	anaerobicⓘ	no	62.82	no
125438	aerobic	aerobicⓘ	yes	52.51	no
125438	spore-forming	spore-formingⓘ	no	86.86	no
125438	thermophilic	thermophileⓘ	no	94.63	yes
125438	flagellated	motile2+ⓘ	yes	77.19	no

Literature

References

#5136	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 13738
#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) .
#66793	Mukherjee et al.: GEBA: 1,003 reference genomes of bacterial and archaeal isolates expand coverage of the tree of life. 35: 676 - 683 2017 ( DOI 10.1038/nbt.3886 , PubMed 28604660 )
#69479	João F Matias Rodrigues, Janko Tackmann,Gregor Rot, Thomas SB Schmidt, Lukas Malfertheiner, Mihai Danaila,Marija Dmitrijeva, Daniela Gaio, Nicolas Näpflin and Christian von Mering. University of Zurich.: MicrobeAtlas 1.0 beta .
#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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