Anaerobranca gottschalkii (DSM 13577, LBS3)

Name: Anaerobranca gottschalkii (DSM 13577, LBS3)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 17963

Type strain

Strain Designation LBS3

Culture col. no. DSM 13577 LBS3

NCBI tax ID(s) 1120990 108328

Special Collections DSMZ

History <- S. G. Prowe and G. Antranikian, Techn. Univ. Hamburg-Harburg, Germany; LBS3 <- S. G. Prowe and G. Antranikian {1994}

Links

Anaerobranca gottschalkii LBS3 is an anaerobe, thermophilic prokaryote that was isolated from hot water inlet.

anaerobe thermophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 49491

DSM 13577,ATCC BAA-51

@ref 20215

Last LPSN update 2026-02-09 11:22:21

Domain Bacteria

Phylum Bacillota

Class Syntrophomonadia

Order Syntrophomonadales

Family Syntrophomonadaceae

Genus Anaerobranca

Species Anaerobranca gottschalkii

Full scientific name Anaerobranca gottschalkii Prowe and Antranikian 2001

Morphology

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
5093	ANAEROBRANCA GOTTSCHALKII MEDIUM (DSMZ Medium 895)		Medium recipe at MediaDive	Name: ANAEROBRANCA GOTTSCHALKII MEDIUM (DSMZ Medium 895) Composition: Na2CO3 2.9615 g/l Starch 1.97433 g/l (NH4)2SO4 0.987167 g/l K2HPO4 0.493583 g/l L-Cysteine HCl x H2O 0.493583 g/l NH4Cl 0.394867 g/l Tryptone 0.246792 g/l Yeast extract 0.246792 g/l Na2S2O3 x 5 H2O 0.0987167 g/l MgSO4 x 7 H2O 0.029615 g/l Nitrilotriacetic acid 0.0148075 g/l NaCl 0.00987167 g/l MnSO4 x H2O 0.00493583 g/l CoSO4 x 7 H2O 0.0017769 g/l ZnSO4 x 7 H2O 0.0017769 g/l CaCl2 x 2 H2O 0.000987167 g/l FeSO4 x 7 H2O 0.000987167 g/l Sodium resazurin 0.000493583 g/l NiCl2 x 6 H2O 0.00029615 g/l AlK(SO4)2 x 12 H2O 0.000197433 g/l CuSO4 x 5 H2O 9.87167e-05 g/l H3BO3 9.87167e-05 g/l Pyridoxine hydrochloride 9.87167e-05 g/l Na2MoO4 x 2 H2O 9.87167e-05 g/l p-Aminobenzoic acid 4.93583e-05 g/l (DL)-alpha-Lipoic acid 4.93583e-05 g/l Calcium D-(+)-pantothenate 4.93583e-05 g/l Nicotinic acid 4.93583e-05 g/l Riboflavin 4.93583e-05 g/l Thiamine HCl 4.93583e-05 g/l Folic acid 1.97433e-05 g/l Biotin 1.97433e-05 g/l Na2WO4 x 2 H2O 3.94867e-06 g/l Na2SeO3 x 5 H2O 2.9615e-06 g/l Vitamin B12 9.87167e-07 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
5093	positive	growth	50	thermophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
5093	anaerobe
125439	anaerobe	99

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2
#Engineered	#Built environment
#Environmental	#Aquatic
#Condition	#Thermophilic (>45°C)

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
5093	hot water inlet	Lake Bogoria	Kenya	KEN	Africa

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
5093	1	Risk group (German classification) According to TRBA 466

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	IMG-taxon 2602042032 annotated assembly for Anaerobranca gottschalkii DSM 13577	scaffold	GCA_900111575	1120990.3	2602042032	1120990	53.71

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
5093	Anaerobranca bogoriae 16S ribosomal RNA gene, complete sequence	AF203703	1433		108328

GC content

@ref	GC-content (mol%)	Method
5093	30.9	high performance liquid chromatography (HPLC)

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Anaerobranca gottschalkii DSM 13577
NCBI: GCA_900111575

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	anaerobe	99.00	no
125439	gram_stain	BacteriaNetⓘ	variable	84.10	no
125439	motility	BacteriaNetⓘ	yes	81.00	no
125439	spore_formation	BacteriaNetⓘ	yes	89.60	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Anaerobranca gottschalkii DSM 13577 DSM 13577
NCBI: GCA_900111575.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	53.85	no
125438	anaerobic	anaerobicⓘ	yes	85.30	yes
125438	aerobic	aerobicⓘ	no	95.97	yes
125438	spore-forming	spore-formingⓘ	yes	63.04	no
125438	thermophilic	thermophileⓘ	yes	65.27	yes
125438	flagellated	motile2+ⓘ	yes	69.31	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Enzymology	AmyA, an alpha-amylase with beta-cyclodextrin-forming activity, and AmyB from the thermoalkaliphilic organism Anaerobranca gottschalkii: two alpha-amylases adapted to their different cellular localizations.	Ballschmiter M, Armbrecht M, Ivanova K, Antranikian G, Liebl W.	Appl Environ Microbiol	10.1128/aem.71.7.3709-3715.2005	2005
Enzymology	Cloning, sequencing, and characterization of a heat- and alkali-stable type I pullulanase from Anaerobranca gottschalkii.	Bertoldo C, Armbrecht M, Becker F, Schafer T, Antranikian G, Liebl W.	Appl Environ Microbiol	10.1128/aem.70.6.3407-3416.2004	2004
Phylogeny	Proteinivorax tanatarense gen. nov., sp. nov., an anaerobic, haloalkaliphilic, proteolytic bacterium isolated from a decaying algal bloom, and proposal of Proteinivoraceae fam. nov.	Kevbrin V, Boltyanskaya Y, Zhilina T, Kolganova T, Lavrentjeva E, Kuznetsov B	Extremophiles	10.1007/s00792-013-0557-1	2013
Phylogeny	Anaerobranca gottschalkii sp. nov., a novel thermoalkaliphilic bacterium that grows anaerobically at high pH and temperature.	Prowe SG, Antranikian G	Int J Syst Evol Microbiol	10.1099/00207713-51-2-457	2001

References

#5093	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 13577
#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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Anaerobranca gottschalkii (DSM 13577, LBS3)

Name and taxonomic classification

Morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Isolation, sampling and environmental information

Isolation source categories

Isolation

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_900111575

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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