Cite this strain

Thauera sp. (JCM 12309)

Name: Thauera sp. (JCM 12309)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 161213

Type strain

Culture col. no. JCM 12309

NCBI tax ID(s) 167065

Special Collections JCM

History N. Kato DNT-1.

Links

JCM 12309 is a bacterium that was isolated from Anaerobic sludge from a wastewater treatment plant.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 231872

JCM 12309

@ref 20215

Last LPSN update 2026-02-09 11:39:05

Domain Bacteria

Phylum Pseudomonadota

Class Betaproteobacteria

Order Rhodocyclales

Family Zoogloeaceae

Genus Thauera

Full scientific name Thauera Macy et al. 1993

Morphology

Cell morphology

@ref	Gram stain	Confidence
125438	negative	94.587

Culture and growth conditions

Culture temp

@ref	Growth	Type	Temperature (°C)
67770	positive	growth	30

Physiology and metabolism

Isolation, sampling and environmental information

Isolation

67770

Sample typeAnaerobic sludge from a wastewater treatment plant

Taxonmaps

69479

Global distribution of 16S sequence AB066262 (>99% sequence identity) for Thauera from Microbeatlas

Aquatic Samples	491
Soil Samples	20
Animal Samples	31
Plant Samples	6
Total Samples	548

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID
66792	ASM131083v1 assembly for Thauera sp. DNT-1 JCM 12309	contig	GCA_001310835	167065.3	2728369658	167065

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
67770	Thauera sp. DNT-1 gene for 16S ribosomal RNA	AB066262	1461		167065

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Thauera sp. DNT-1 JCM 12309
NCBI: GCA_001310835

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	83.00	no
125439	motility	BacteriaNetⓘ	yes	56.90	no
125439	gram_stain	BacteriaNetⓘ	positive	71.30	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	87.10	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Thauera sp. DNT-1 strain JCM 12309
PATRIC: 167065.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	94.59	no
125438	anaerobic	anaerobicⓘ	no	76.61	no
125438	spore-forming	spore-formingⓘ	no	86.86	no
125438	aerobic	aerobicⓘ	yes	52.95	no
125438	thermophilic	thermophileⓘ	no	92.44	yes
125438	flagellated	motile2+ⓘ	yes	63.97	no

Literature

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) .
#67770	Japan Collection of Microorganism (JCM) ; Curators of the JCM;
#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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