Streptacidiphilus melanogenes SB-B34 is an aerobe, spore-forming, mesophilic prokaryote that was isolated from soil.
spore-forming Gram-positive aerobe mesophilic genome sequence 16S sequence| @ref 20215 |
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| Domain Bacillati |
| Phylum Actinomycetota |
| Class Actinomycetes |
| Order Kitasatosporales |
| Family Streptomycetaceae |
| Genus Streptacidiphilus |
| Species Streptacidiphilus melanogenes |
| Full scientific name Streptacidiphilus melanogenes Cho et al. 2008 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 64723 | ROLLED OATS MINERAL MEDIUM (DSMZ Medium 84) | Medium recipe at MediaDive | Name: ROLLED OATS MINERAL MEDIUM (DSMZ Medium 84) Composition: Agar 20.0 g/l Rolled oats 20.0 g/l ZnSO4 x 7 H2O 0.001 g/l MnCl2 x 4 H2O 0.001 g/l FeSO4 x 7 H2O 0.001 g/l Distilled water | ||
| 64723 | GYM STREPTOMYCES MEDIUM (DSMZ Medium 65) | Medium recipe at MediaDive | Name: GYM STREPTOMYCES MEDIUM (DSMZ Medium 65) Composition: Agar 18.0 g/l Malt extract 10.0 g/l Yeast extract 4.0 g/l Glucose 4.0 g/l CaCO3 2.0 g/l Distilled water | ||
| 64723 | ISP2 MEDIUM (DSMZ Medium 987) | Medium recipe at MediaDive | Name: ISP 2 MEDIUM (DSMZ Medium 987) Composition: Agar 20.0 g/l Malt extract 10.0 g/l Dextrose 4.0 g/l Yeast extract 4.0 g/l Distilled water |
| @ref | Ability | Type | PH | PH range | |
|---|---|---|---|---|---|
| 32427 | positive | growth | 03-08 | acidophile |
| 67770 | Observationquinones: MK-9(H8), MK-9(H6) |
| @ref | Chebi-ID | Metabolite | Utilization activity | Kind of utilization tested | |
|---|---|---|---|---|---|
| 32427 | 29016 ChEBI | arginine | + | carbon source | |
| 32427 | 24265 ChEBI | gluconate | + | carbon source | |
| 32427 | 17754 ChEBI | glycerol | + | carbon source | |
| 32427 | 28053 ChEBI | melibiose | + | carbon source | |
| 32427 | 17268 ChEBI | myo-inositol | + | carbon source | |
| 32427 | 30911 ChEBI | sorbitol | + | carbon source | |
| 32427 | 17992 ChEBI | sucrose | + | carbon source | |
| 32427 | 18222 ChEBI | xylose | + | carbon source |
| @ref | Sample type | Host species | Geographic location | Country | Country ISO 3 Code | Continent | |
|---|---|---|---|---|---|---|---|
| 32427 | soil | ||||||
| 64723 | soil of Pinus thunbergii | Sambong, Tae-an, Chungnam | Republic of Korea | KOR | Asia | ||
| 67770 | Pinus-associated soil | Pinus | Sambong, near the coastal areas of Tae-An, Chungnam | Republic of Korea | KOR | Asia | |
| 67771 | From `Pinus` soil | Republic of Korea | KOR | Asia |
Global distribution of 16S sequence DQ994689 (>99% sequence identity) for Streptacidiphilus from Microbeatlas ![]()
| @ref | Biosafety level | Biosafety level comment | |
|---|---|---|---|
| 64723 | 1 | Risk group (German classification) |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 67770 | ASM78783v1 assembly for Streptacidiphilus melanogenes NBRC 103184 | scaffold | 411235 | 21.22 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 64723 | Streptacidiphilus melanogenes strain SB-B34 16S ribosomal RNA gene, partial sequence | DQ994689 | 1428 | 411235 |
| @ref | GC-content (mol%) | Method | |
|---|---|---|---|
| 67770 | 72 | genome sequence analysis |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | yes | 94.60 | no |
| 125439 | motility | BacteriaNetⓘ | no | 93.80 | no |
| 125439 | gram_stain | BacteriaNetⓘ | positive | 99.90 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 98.00 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 90.52 | yes |
| 125438 | anaerobic | anaerobicⓘ | no | 94.38 | yes |
| 125438 | spore-forming | spore-formingⓘ | yes | 89.12 | yes |
| 125438 | aerobic | aerobicⓘ | yes | 90.70 | yes |
| 125438 | thermophilic | thermophileⓘ | no | 96.75 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 86.10 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Phylogeny | Streptacidiphilus fuscans sp. nov., a novel actinobacterium isolated from the root of pumpkin (Cucurbita moschata). | Yu B, Han C, Zhao J, Zhang Y, Shan Q, Wu Y, Ju H, Xiang W, Wang X | Int J Syst Evol Microbiol | 10.1099/ijsem.0.004824 | 2021 | |
| Phylogeny | Streptacidiphilus pinicola sp. nov., isolated from pine grove soil. | Roh SG, Kim MK, Park S, Yun BR, Park J, Kim MJ, Kim YS, Kim SB | Int J Syst Evol Microbiol | 10.1099/ijsem.0.002957 | 2018 | |
| Phylogeny | Streptacidiphilus monticola sp. nov., a novel actinomycete isolated from soil. | Song W, Duan L, Jin L, Zhao J, Jiang S, Sun T, Guo XW, Xiang W, Wang X | Int J Syst Evol Microbiol | 10.1099/ijsem.0.002751 | 2018 | |
| Phylogeny | Streptacidiphilus anmyonensis sp. nov., Streptacidiphilus rugosus sp. nov. and Streptacidiphilus melanogenes sp. nov., acidophilic actinobacteria isolated from Pinus soils. | Cho SH, Han JH, Ko HY, Kim SB | Int J Syst Evol Microbiol | 10.1099/ijs.0.65480-0 | 2008 |
| #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 ) |
| #28650 | IJSEM 1566 2008 ( DOI 10.1099/ijs.0.65480-0 , PubMed 18599696 ) |
| #32427 | 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 #28650 |
| #64723 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 108659 |
| #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 . |
| #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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