Treponema primitia (DSM 12427, ZAS-2, ATCC BAA-887)

Name: Treponema primitia (DSM 12427, ZAS-2, ATCC BAA-887)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 168900

Type strain

Strain Designation ZAS-2

Culture col. no. DSM 12427 ZAS-2 ATCC BAA-887

NCBI tax ID(s) 88058

Special Collections DSMZ

Links

Treponema primitia ZAS-2 is a prokaryote of the family Treponemataceae.

genome sequence 16S sequence

Name and taxonomic classification

SI-ID 49287

DSM 12427,ATCC BAA-887

@ref 20215

Last LPSN update 2026-02-09 11:40:54

Domain Bacteria

Phylum Spirochaetota

Class Spirochaetia

Order Spirochaetales

Family Treponemataceae

Genus Treponema

Species Treponema primitia

Full scientific name Treponema primitia Graber et al. 2004

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	negative	96.4

Culture and growth conditions

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	anaerobe	100

Isolation, sampling and environmental information

Taxonmaps

69479

Global distribution of 16S sequence AF093252 (>99% sequence identity) for Treponema primitia subclade from Microbeatlas

Aquatic Samples	60
Soil Samples	17
Animal Samples	102
Plant Samples	10
Total Samples	189

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
20215	1	Risk group

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM21437v1 assembly for Treponema primitia ZAS-2	complete	GCA_000214375	545694.3	650716102	545694	92.55

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
20215	Treponema sp. ZAS-2 small subunit ribosomal RNA gene, partial sequence	AF093252	1372		545694

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Treponema primitia ZAS-2
NCBI: GCA_000214375

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	89.90	no
125439	motility	BacteriaNetⓘ	no	57.00	no
125439	gram_stain	BacteriaNetⓘ	negative	96.40	no
125439	oxygen_tolerance	BacteriaNetⓘ	anaerobe	100.00	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Treponema primitia ZAS-2 ZAS-2
NCBI: GCA_000214375.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	82.18	no
125438	anaerobic	anaerobicⓘ	yes	87.83	no
125438	aerobic	aerobicⓘ	no	94.01	no
125438	spore-forming	spore-formingⓘ	no	72.76	no
125438	thermophilic	thermophileⓘ	no	81.23	no
125438	flagellated	motile2+ⓘ	yes	59.43	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Metabolism	Using gas mixtures of CO, CO₂ and H₂ as microbial substrates: the do's and don'ts of successful technology transfer from laboratory to production scale.	Takors R, Kopf M, Mampel J, Bluemke W, Blombach B, Eikmanns B, Bengelsdorf FR, Weuster-Botz D, Durre P.	Microb Biotechnol	10.1111/1751-7915.13270	2018
Metabolism	Genomic analysis reveals multiple [FeFe] hydrogenases and hydrogen sensors encoded by treponemes from the H(2)-rich termite gut.	Ballor NR, Paulsen I, Leadbetter JR	Microb Ecol	10.1007/s00248-011-9922-8	2011
Genetics	Catechol 2,3-dioxygenase and other meta-cleavage catabolic pathway genes in the 'anaerobic' termite gut spirochete Treponema primitia.	Lucey KS, Leadbetter JR	Mol Ecol	10.1111/mec.12598	2013
Metabolism	Physiology and nutrition of Treponema primitia, an H2/CO2-acetogenic spirochete from termite hindguts.	Graber JR, Breznak JA	Appl Environ Microbiol	10.1128/AEM.70.3.1307-1314.2004	2004
Phylogeny	Treponema isoptericolens sp. nov., a novel spirochaete from the hindgut of the termite Incisitermes tabogae.	Droge S, Rachel R, Radek R, Konig H	Int J Syst Evol Microbiol	10.1099/ijs.0.64699-0	2008
Phylogeny	Description of Treponema azotonutricium sp. nov. and Treponema primitia sp. nov., the first spirochetes isolated from termite guts.	Graber JR, Leadbetter JR, Breznak JA	Appl Environ Microbiol	10.1128/AEM.70.3.1315-1320.2004	2004

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) .
#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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Treponema primitia (DSM 12427, ZAS-2, ATCC BAA-887)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Physiology and metabolism

Oxygen tolerance

Isolation, sampling and environmental information

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_000214375

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

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