Acidiphilium multivorum DSM 11245 is a bacterium that was isolated from acid mine water.
genome sequence 16S sequence Bacteria| @ref 20215 |
|
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| Domain Bacteria |
| Phylum Pseudomonadota |
| Class Alphaproteobacteria |
| Order Rhodospirillales |
| Family Acetobacteraceae |
| Genus Acidiphilium |
| Species Acidiphilium multivorum |
| Full scientific name Acidiphilium multivorum Wakao et al. 1995 |
| BacDive ID | Other strains from Acidiphilium multivorum (3) | Type strain |
|---|---|---|
| 165962 | A. multivorum JCM 8869, NBRC 100884 | |
| 165963 | A. multivorum JCM 8871, NBRC 100885 | |
| 165964 | A. multivorum JCM 8872, NBRC 100886 |
| @ref | Gram stain | Confidence | |
|---|---|---|---|
| 125438 | negative | 94.66 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 4256 | ACIDIPHILIUM MEDIUM (DSMZ Medium 269) | Medium recipe at MediaDive | Name: ACIDIPHILIUM MEDIUM (DSMZ Medium 269; with strain-specific modifications) Composition: (NH4)2SO4 2.0 g/l D-Glucose 1.0 g/l MgSO4 x 7 H2O 0.5 g/l K2HPO4 0.5 g/l KCl 0.1 g/l Trypticase soy broth 0.1 g/l Distilled water |
| 67770 | Observationquinones: Q-10 |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Engineered | #Other | #Mine | |
| #Environmental | #Aquatic | - | |
| #Condition | #Acidic | - |
Global distribution of 16S sequence NR_074327 (>99% sequence identity) for Acidiphilium from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 67770 | ASM20283v1 assembly for Acidiphilium multivorum AIU301 | complete | 926570 | 96.94 | ||||
| 67770 | ASM96434v1 assembly for Acidiphilium multivorum AIU301 | scaffold | 926570 | 0 |
| @ref | GC-content (mol%) | Method | |
|---|---|---|---|
| 4256 | 67.6 | high performance liquid chromatography (HPLC) |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 89.97 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 83.69 | no |
| 125439 | motility | BacteriaNetⓘ | no | 62.40 | no |
| 125439 | spore_formation | BacteriaNetⓘ | no | 86.02 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 94.66 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 85.00 | no |
| 125438 | aerobic | aerobicⓘ | yes | 72.09 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 86.71 | no |
| 125438 | thermophilic | thermophileⓘ | no | 94.05 | yes |
| 125438 | flagellated | motile2+ⓘ | yes | 71.54 | no |
| Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|
| Nucleotide sequence analysis of cryptic plasmid pAM5 from Acidiphilium multivorum. | Singh SK, Banerjee PC. | Plasmid | 10.1016/j.plasmid.2007.01.005 | 2007 |
| #4256 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 11245 |
| #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; |
| #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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https://doi.org/10.13145/bacdive31.20260601.11
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BacDive in 2025: the core database for prokaryotic strain data