Bartonella acomydis KS2-1 is an aerobe, Gram-negative, ovoid-shaped bacterium that was isolated from blood of golden spiny mouse ; imported pet.
Gram-negative ovoid-shaped aerobe genome sequence 16S sequence Bacteria| @ref 20215 |
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| Domain Bacteria |
| Phylum Pseudomonadota |
| Class Alphaproteobacteria |
| Order Hyphomicrobiales |
| Family Bartonellaceae |
| Genus Bartonella |
| Species Bartonella acomydis |
| Full scientific name Bartonella acomydis Sato et al. 2013 |
| BacDive ID | Other strains from Bartonella acomydis (1) | Type strain |
|---|---|---|
| 162080 | B. acomydis JCM 17707, KCTC 23908 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 20451 | COLUMBIA BLOOD AGAR (DSMZ Medium 429) | Medium recipe at MediaDive | Name: COLUMBIA BLOOD AGAR (DSMZ Medium 429; with strain-specific modifications) Composition: Horse blood 100.0 g/l Columbia agar base |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Host | #Mammals | #Muridae (Mouse/Rat) | |
| #Host Body Product | #Fluids | #Blood |
Global distribution of 16S sequence AB602533 (>99% sequence identity) for Bartonella from Microbeatlas ![]()
| @ref | Pathogenicity animal | Biosafety level | Biosafety level comment | |
|---|---|---|---|---|
| 20451 | yes, in single cases | 1 | Risk group (German classification) |
| @ref | Description | Assembly level | INSDC accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|
| 124043 | ASM3954302v1 assembly for Bartonella acomydis JCM 17706 | contig | 686234 | 59.91 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 20451 | Bartonella acomydis gene for 16S rRNA, partial sequence, strain: KS2-1 | AB602533 | 1349 | 686234 |
| 20451 | GC-content (mol%)37.2 |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Phylogeny | Bartonella jaculi sp. nov., Bartonella callosciuri sp. nov., Bartonella pachyuromydis sp. nov. and Bartonella acomydis sp. nov., isolated from wild Rodentia. | Sato S, Kabeya H, Fujinaga Y, Inoue K, Une Y, Yoshikawa Y, Maruyama S | Int J Syst Evol Microbiol | 10.1099/ijs.0.041939-0 | 2012 |
| #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 ) |
| #20451 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 28537 |
| #27014 | IJSEM 1734 2013 ( DOI 10.1099/ijs.0.041939-0 , PubMed 22941296 ) |
| #30683 | Barberan A, Caceres Velazquez H, Jones S, Fierer N.: Hiding in Plain Sight: Mining Bacterial Species Records for Phenotypic Trait Information. mSphere 2: 2017 ( DOI 10.1128/mSphere.00237-17 , PubMed 28776041 ) - originally annotated from #27014 |
| #67770 | Japan Collection of Microorganism (JCM) ; Curators of the JCM; |
| #67771 | Korean Collection for Type Cultures (KCTC) ; Curators of the KCTC; |
| #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 . |
| #124043 | Isabel Schober, Julia Koblitz: Data extracted from sequence databases, automatically matched based on designation and taxonomy . |
| #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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https://doi.org/10.13145/bacdive23781.20260601.11
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BacDive in 2025: the core database for prokaryotic strain data