Sphaerisporangium melleum 3-28 is a mesophilic prokaryote that was isolated from sandy soil.
mesophilic genome sequence 16S sequence| @ref 20215 |
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| Domain Bacillati |
| Phylum Actinomycetota |
| Class Actinomycetes |
| Order Streptosporangiales |
| Family Streptosporangiaceae |
| Genus Sphaerisporangium |
| Species Sphaerisporangium melleum |
| Full scientific name Sphaerisporangium melleum corrig. Ara and Kudo 2007 |
| Synonyms (1) |
| BacDive ID | Other strains from Sphaerisporangium melleum (3) | Type strain |
|---|---|---|
| 161310 | S. melleum JCM 13065 | |
| 161311 | S. melleum JCM 13066 | |
| 161312 | S. melleum JCM 13068 |
| @ref | Gram stain | Confidence | |
|---|---|---|---|
| 125439 | positive | 99.2 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 12207 | 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 | ||
| 12207 | 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 |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM1686337v1 assembly for Sphaerisporangium melleum NBRC 107356 | contig | 321316 | 44.21 | ||||
| 124043 | ASM4243052v1 assembly for Sphaerisporangium melleum JCM 13064 | contig | 321316 | 37.88 | ||||
| 66792 | ASM1464669v1 assembly for Sphaerisporangium melleum JCM 13064 | scaffold | 321316 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 12207 | Sphaerisporangium melleum gene for 16S rRNA, partial sequence, strain: 3-28(8) | AB208714 | 1503 | 321316 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | yes | 71.30 | no |
| 125439 | motility | BacteriaNetⓘ | no | 83.10 | no |
| 125439 | gram_stain | BacteriaNetⓘ | positive | 99.20 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 97.90 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 88.00 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 87.53 | no |
| 125438 | aerobic | aerobicⓘ | yes | 87.03 | no |
| 125438 | spore-forming | spore-formingⓘ | yes | 87.06 | no |
| 125438 | thermophilic | thermophileⓘ | no | 95.50 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 84.00 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Phylogeny | Sphaerisporangium corydalis sp. nov., isolated from the root of Corydalis yanhusuo L. | Wang X, Liu C, Cheng J, Zhang Y, Ma Z, Li L, Wang X, Xiang W | Antonie Van Leeuwenhoek | 10.1007/s10482-015-0471-x | 2015 | |
| Phylogeny | Sphaerisporangium dianthi sp. nov., an endophytic actinomycete isolated from a root of Dianthus chinensis L. | Xing J, Liu C, Zhang Y, He H, Zhou Y, Li L, Zhao J, Liu S, Wang X, Xiang W | Antonie Van Leeuwenhoek | 10.1007/s10482-014-0298-x | 2014 |
| #12207 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 44954 |
| #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 ) |
| #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; |
| #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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https://doi.org/10.13145/bacdive16624.20251217.10
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BacDive in 2025: the core database for prokaryotic strain data