Desulfofundulus australicus (DSM 11792, ACM 3917, KCTC 15817)

Name: Desulfofundulus australicus (DSM 11792, ACM 3917, KCTC 15817)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 11821

Type strain

Strain Designation AB33

Culture col. no. DSM 11792 ACM 3917 KCTC 15817 AB33 JCM 34022

NCBI tax ID(s) 1121425 1566

Special Collections DSMZ JCM KCTC

History <- ACM; ACM 3917 <- A. C. Love, CSIRO Division of Oceanography, Hobart, Tasmania, Australia; AB33 <- Stefan Spring, DSM <- ACM <- CA Love, AB33 DSM 11792 <-- ACM 3917 <-- C. A. Love; Griffith Univ., Australia; AB33.

Links

Desulfofundulus australicus AB33 is an anaerobe, spore-forming, Gram-positive bacterium that was isolated from runoff channel of bore well.

spore-forming Gram-positive anaerobe genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 49182

KCTC 15817,DSM 11792,ACM 3917

@ref 20215

Last LPSN update 2026-02-09 11:20:40

Domain Bacteria

Phylum Bacillota

Class Clostridia

Order Eubacteriales

Family Peptococcaceae

Genus Desulfofundulus

Species Desulfofundulus australicus

Full scientific name Desulfofundulus australicus (Love et al. 1993) Watanabe et al. 2018

Synonyms (1)

Desulfotomaculum australicum

Morphology

Cell morphology

67771

Gram stainpositive

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
4492	DESULFOVIBRIO (POSTGATE) MEDIUM (DSMZ Medium 63)		Medium recipe at MediaDive	Name: DESULFOVIBRIO (POSTGATE) MEDIUM (DSMZ Medium 63) Composition: MgSO4 x 7 H2O 2.0 g/l Na-DL-lactate 2.0 g/l NH4Cl 1.0 g/l Yeast extract 1.0 g/l Na2SO4 1.0 g/l FeSO4 x 7 H2O 0.5 g/l K2HPO4 0.5 g/l CaCl2 x 2 H2O 0.1 g/l Na-thioglycolate 0.1 g/l Ascorbic acid 0.1 g/l Sodium resazurin 0.0005 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
4492	positive	growth	65
67770	positive	growth	65
67771	positive	growth	65

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
4492	anaerobe
67771	anaerobe
125438	anaerobe	94.678
125439	anaerobe	99.6

Spore formation

@ref	Type of spore	Spore formation
67771	spore

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Engineered	#Industrial	#Engineered product
#Engineered	#Waste	#Wastewater

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
4492	runoff channel of bore well	Great Artesian basin	Australia	AUS	Australia and Oceania
67771	From runoff channel of bore well	Great Artesian basin	Australia	AUS	Australia and Oceania
67770	Runoff channels formed by the bore wells of the non-volcanically heated waters of the Great Artesian Waters		Australia	AUS	Australia and Oceania

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
4492	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
67770	IMG-taxon 2582580749 annotated assembly for Desulfofundulus australicus DSM 11792	scaffold	GCA_900129285	1121425.3	2582580749	1121425	61.04

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
4492	Desulfotomaculum australicum 16 S ribosomal RNA	M96665	1565		1121425
67770	Desulfofundulus australicus DSM 11792 strain AB33 16S ribosomal RNA, partial sequence	NR_037008	1561		1121425

GC content

@ref	GC-content (mol%)	Method
4492	48.1	thermal denaturation, midpoint method (Tm)

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Desulfofundulus australicus DSM 11792
NCBI: GCA_900129285

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	anaerobe	99.60	no
125439	gram_stain	BacteriaNetⓘ	negative	63.40	no
125439	motility	BacteriaNetⓘ	yes	66.10	no
125439	spore_formation	BacteriaNetⓘ	yes	84.80	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Desulfotomaculum australicum DSM 11792 strain DSM 11792
PATRIC: 1121425.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	68.73	yes
125438	anaerobic	anaerobicⓘ	yes	94.68	no
125438	spore-forming	spore-formingⓘ	yes	83.82	yes
125438	aerobic	aerobicⓘ	no	96.03	yes
125438	thermophilic	thermophileⓘ	yes	81.15	yes
125438	flagellated	motile2+ⓘ	yes	64.15	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Genetics	Effect of Sulfate on Carbon Monoxide Conversion by a Thermophilic Syngas-Fermenting Culture Dominated by a Desulfofundulus Species.	Alves JI, Visser M, Arantes AL, Nijsse B, Plugge CM, Alves MM, Stams AJM, Sousa DZ.	Front Microbiol	10.3389/fmicb.2020.588468	2020
Genetics	Distribution and Activity of Sulfur-Metabolizing Bacteria along the Temperature Gradient in Phototrophic Mats of the Chilean Hot Spring Porcelana.	Konrad R, Vergara-Barros P, Alcorta J, Alcaman-Arias ME, Levican G, Ridley C, Diez B.	Microorganisms	10.3390/microorganisms11071803	2023
	The low-temperature germinating spores of the thermophilic Desulfofundulus contribute to an extremely high sulfate reduction in burning coal seams.	Karnachuk OV, Rusanov II, Panova IA, Kadnikov VV, Avakyan MR, Ikkert OP, Lukina AP, Beletsky AV, Mardanov AV, Knyazev YV, Volochaev MN, Pimenov NV, Ravin NV.	Front Microbiol	10.3389/fmicb.2023.1204102	2023
Phylogeny	Desulfofundulus australicus Wantanabe et al. 2018 is represented by a single deposit is one internationally operating collection.	Tindall BJ	Int J Syst Evol Microbiol	10.1099/ijsem.0.003201	2019

References

#4492	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 11792
#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 )
#67770	Japan Collection of Microorganism (JCM) ; Curators of the JCM;
#67771	Korean Collection for Type Cultures (KCTC) ; Curators of the KCTC;
#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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Desulfofundulus australicus (DSM 11792, ACM 3917, KCTC 15817)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Isolation, sampling and environmental information

Isolation source categories

Isolation

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_900129285

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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