Streptomyces lavendulae subsp. lavendulae A-9354 is a bacterium of the family Streptomycetaceae.
genome sequence Bacteria| @ref 20215 |
|
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| Domain Bacteria |
| Phylum Actinomycetota |
| Class Actinomycetes |
| Order Kitasatosporales |
| Family Streptomycetaceae |
| Genus Streptomyces |
| Species Streptomyces lavendulae subsp. lavendulae |
| Full scientific name Streptomyces lavendulae subsp. lavendulae (Waksman and Curtis 1916) Pridham 1970 (Approved Lists 1980) |
| @ref: | 10391 |
| multimedia content: | DSM_41571-1.jpg |
| multimedia.multimedia content: | https://www.dsmz.de/microorganisms/photos/DSM_41571-1.jpg |
| intellectual property rights: | © Leibniz-Institut DSMZ |
| manual_annotation: | 1 |
| @ref: | 10391 |
| multimedia content: | DSM_41571.jpg |
| multimedia.multimedia content: | https://www.dsmz.de/microorganisms/photos/DSM_41571.jpg |
| caption: | Medium 65 28°C |
| intellectual property rights: | © Leibniz-Institut DSMZ |
| manual_annotation: | 1 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 10391 | 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 |
| @ref | Growth | Type | Temperature (°C) | |
|---|---|---|---|---|
| 10391 | positive | growth | 28 |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 66792 | ASM215896v1 assembly for Streptomyces lavendulae subsp. lavendulae ATCC 13664 | contig | 58340 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | yes | 89.70 | no |
| 125439 | motility | BacteriaNetⓘ | no | 90.10 | no |
| 125439 | gram_stain | BacteriaNetⓘ | positive | 99.20 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 98.70 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 92.51 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 96.58 | no |
| 125438 | spore-forming | spore-formingⓘ | yes | 92.02 | no |
| 125438 | aerobic | aerobicⓘ | yes | 93.05 | no |
| 125438 | thermophilic | thermophileⓘ | no | 96.00 | no |
| 125438 | flagellated | motile2+ⓘ | no | 87.50 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Enzymology | Overexpression of penicillin V acylase from Streptomyces lavendulae and elucidation of its catalytic residues. | Torres-Bacete J, Hormigo D, Torres-Guzman R, Arroyo M, Castillon MP, Garcia L, Acebal C, de la Mata I. | Appl Environ Microbiol | 10.1128/aem.02352-14 | 2015 | |
| Enzymology | Optimization of culture medium and conditions for penicillin acylase production by Streptomyces lavendulae ATCC 13664. | Torres-Bacete J, Arroyo M, Torres-Guzman R, De La Mata I, Acebal C, Castillon MP. | Appl Biochem Biotechnol | 10.1385/abab:126:2:119 | 2005 | |
| Enzymology | A Novel Quorum-Quenching N-Acylhomoserine Lactone Acylase from Acidovorax sp. Strain MR-S7 Mediates Antibiotic Resistance. | Kusada H, Tamaki H, Kamagata Y, Hanada S, Kimura N. | Appl Environ Microbiol | 10.1128/aem.00080-17 | 2017 | |
| Penicillinacylase. | Hamilton-Miller JM. | Bacteriol Rev | 10.1128/br.30.4.761-771.1966 | 1966 |
| #10391 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 41571 |
| #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) . |
| #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/bacdive16306.20251217.10
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BacDive in 2025: the core database for prokaryotic strain data