Streptomyces rhizosphaericus A10P1 is a mesophilic prokaryote that was isolated from ectorhizosphere of Paraserianthes falcataria.
mesophilic genome sequence 16S sequence| @ref 20215 |
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| Domain Bacillati |
| Phylum Actinomycetota |
| Class Actinomycetes |
| Order Kitasatosporales |
| Family Streptomycetaceae |
| Genus Streptomyces |
| Species Streptomyces rhizosphaericus |
| Full scientific name Streptomyces rhizosphaericus corrig. Sembiring et al. 2001 |
| Synonyms (1) |
| BacDive ID | Other strains from Streptomyces rhizosphaericus (2) | Type strain |
|---|---|---|
| 160525 | S. rhizosphaericus A23R2, DSM 41762 | |
| 160526 | S. rhizosphaericus C9P3, DSM 41767 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 10553 | 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 | ||
| 10553 | 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 | ||
| 10553 | STARCH - MINERAL SALT - AGAR (STMS) (DSMZ Medium 252) | Medium recipe at MediaDive | Name: STARCH - MINERAL SALT - AGAR (STMS) (DSMZ Medium 252) Composition: Agar 14.985 g/l Starch 9.99001 g/l (NH4)2SO4 1.998 g/l CaCO3 1.998 g/l K2HPO4 0.999001 g/l MgSO4 x 7 H2O 0.999001 g/l NaCl 0.999001 g/l FeSO4 x 7 H2O 0.000999001 g/l MnCl2 x 4 H2O 0.000999001 g/l ZnSO4 x 7 H2O 0.000999001 g/l Distilled water |
| @ref | Sample type | Host species | Geographic location | Country | Country ISO 3 Code | Continent | |
|---|---|---|---|---|---|---|---|
| 10553 | ectorhizosphere of Paraserianthes falcataria | Paraserianthes falcataria | Java, Yogyakarta | Indonesia | IDN | Asia | |
| 67770 | Rhizosphere of the tropical legume, Paraserianthes falcataria | Paraserianthes falcataria | Yogyakarta | Indonesia | IDN | Asia |
Global distribution of 16S sequence AB249941 (>99% sequence identity) for Streptomyces from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM1794218v1 assembly for Streptomyces rhizosphaericus DSM 41760 | contig | 114699 | 77.34 | ||||
| 124043 | ASM4267492v1 assembly for Streptomyces rhizosphaericus JCM 11447 | contig | 114699 | 67.48 | ||||
| 124043 | ASM3952594v1 assembly for Streptomyces rhizosphaericus JCM 11447 | scaffold | 114699 | 4.83 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 20218 | Streptomyces sp. A10P1 (S27) partial 16S rRNA gene | AJ391834 | 1480 | 114699 | ||
| 20218 | Streptomyces rhizosphaericus strain DSM 41760 16S ribosomal RNA gene, partial sequence | FJ406121 | 1362 | 114699 | ||
| 20218 | Streptomyces rhizosphaericus gene for 16S rRNA, partial sequence, strain: NBRC 100778 | AB249941 | 1482 | 114699 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | yes | 92.70 | no |
| 125439 | motility | BacteriaNetⓘ | no | 92.80 | no |
| 125439 | gram_stain | BacteriaNetⓘ | positive | 99.80 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 95.90 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 86.43 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 95.54 | no |
| 125438 | spore-forming | spore-formingⓘ | yes | 93.62 | no |
| 125438 | aerobic | aerobicⓘ | yes | 91.10 | no |
| 125438 | thermophilic | thermophileⓘ | no | 97.00 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 88.00 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Genetics | Comparative Genomics Reveals a Remarkable Biosynthetic Potential of the Streptomyces Phylogenetic Lineage Associated with Rugose-Ornamented Spores. | Chung YH, Kim H, Ji CH, Je HW, Lee D, Shim SH, Joo HS, Kang HS. | mSystems | 10.1128/msystems.00489-21 | 2021 | |
| Phylogeny | Emended descriptions of Streptomyces javensis and Streptomyces rhizosphaericus based on reclassifications of Streptomyces yogyakartensis, Streptomyces cangkringensis, and Streptomyces indonesiensis. | Komaki H. | Int J Syst Evol Microbiol | 10.1099/ijsem.0.006881 | 2025 | |
| Phylogeny | Streptomyces solisilvae sp. nov., isolated from tropical forest soil. | Zhou S, Yang X, Huang D, Huang X | Int J Syst Evol Microbiol | 10.1099/ijsem.0.002166 | 2017 |
| #10553 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 41760 |
| #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 ) |
| #20218 | Verslyppe, B., De Smet, W., De Baets, B., De Vos, P., Dawyndt P.: StrainInfo introduces electronic passports for microorganisms.. Syst Appl Microbiol. 37: 42 - 50 2014 ( DOI 10.1016/j.syapm.2013.11.002 , PubMed 24321274 ) |
| #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) . |
| #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 . |
| #124043 | Isabel Schober, Julia Koblitz: Data extracted from sequence databases, automatically matched based on designation and taxonomy . |
| #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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