Bartonella tamiae (NCTC 13398, ATCC BAA-1343, JCM 14580)

Name: Bartonella tamiae (NCTC 13398, ATCC BAA-1343, JCM 14580)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 161502

Type strain

Culture col. no. NCTC 13398 ATCC BAA-1343 JCM 14580

NCBI tax ID(s) 373638

Special Collections JCM

History M. Kosoy Th239.

Links

Bartonella tamiae JCM 14580 is a mesophilic prokaryote that was isolated from 38-year-old male patient with fatigue, myalgia, a headache, a maculopapular rash and a fever.

mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 24979

NCTC 13398,JCM 14580

@ref 20215

Last LPSN update 2026-02-09 11:39:10

Domain Bacteria

Phylum Pseudomonadota

Class Alphaproteobacteria

Order Hyphomicrobiales

Family Bartonellaceae

Genus Bartonella

Species Bartonella tamiae

Full scientific name Bartonella tamiae Kosoy et al. 2024

Synonyms (1)

"Attibartonella tamiae"

BacDive ID	Other strains from **Bartonella tamiae** (1)	Type strain
154366	B. tamiae CCUG 53262

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	negative	99.4
125438	negative	99.5

Culture and growth conditions

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
67770	positive	growth	35	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	94.5

Spore formation

@ref	Spore formation	Confidence
125439		99.7
125438		93.409

Isolation, sampling and environmental information

Isolation

67770

Sample type38-year-old male patient with fatigue, myalgia, a headache, a maculopapular rash and a fever

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
67770	Bart_tami_Th239_V1 assembly for Bartonella tamiae Th239	scaffold	GCA_000278275	1094558.3	2529293189	1094558	76.26

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
67770	Bartonella tamiae strain Th239 16S ribosomal RNA gene, partial sequence	DQ395176	1246		373638
67770	Bartonella tamiae strain Th239 16S-23S ribosomal RNA intergenic spacer, partial sequence	DQ395180	415		373638

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Bartonella tamiae Th239
NCBI: GCA_000278275

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	99.70	no
125439	motility	BacteriaNetⓘ	yes	51.20	no
125439	gram_stain	BacteriaNetⓘ	negative	99.40	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	94.50	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Bartonella tamiae Th239 Th239
NCBI: GCA_000278275.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	99.50	no
125438	anaerobic	anaerobicⓘ	no	92.09	no
125438	aerobic	aerobicⓘ	yes	62.15	no
125438	spore-forming	spore-formingⓘ	no	93.41	no
125438	thermophilic	thermophileⓘ	no	96.27	yes
125438	flagellated	motile2+ⓘ	no	79.50	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	Validation List no. 220. Valid publication of new names and new combinations effectively published outside the IJSEM.	Oren A, Goker M.	Int J Syst Evol Microbiol	10.1099/ijsem.0.006501	2024
Enzymology	Combining culture techniques for Bartonella: the best of both worlds.	Lynch T, Iverson J, Kosoy M.	J Clin Microbiol	10.1128/jcm.02403-10	2011
Phylogeny	Bartonella tamiae sp. nov., a newly recognized pathogen isolated from three human patients from Thailand.	Kosoy M, Morway C, Sheff KW, Bai Y, Colborn J, Chalcraft L, Dowell SF, Peruski LF, Maloney SA, Baggett H, Sutthirattana S, Sidhirat A, Maruyama S, Kabeya H, Chomel BB, Kasten R, Popov V, Robinson J, Kruglov A, Petersen LR.	J Clin Microbiol	10.1128/jcm.02120-07	2008

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 )
#67770	Japan Collection of Microorganism (JCM) ; Curators of the JCM;
#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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Bartonella tamiae (NCTC 13398, ATCC BAA-1343, JCM 14580)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Isolation, sampling and environmental information

Isolation

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_000278275

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

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