Amycolatopsis umgeniensis UM16 is a bacterium that was isolated from soil.
genome sequence 16S sequence Bacteria| @ref 20215 |
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| Domain Bacteria |
| Phylum Actinomycetota |
| Class Actinomycetes |
| Order Pseudonocardiales |
| Family Pseudonocardiaceae |
| Genus Amycolatopsis |
| Species Amycolatopsis umgeniensis |
| Full scientific name Amycolatopsis umgeniensis Everest et al. 2013 |
| @ref: | 19273 |
| multimedia content: | DSM_45272.jpg |
| multimedia.multimedia content: | https://www.dsmz.de/microorganisms/photos/DSM_45272.jpg |
| caption: | Medium 65 28°C |
| intellectual property rights: | © Leibniz-Institut DSMZ |
| manual_annotation: | 1 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 19273 | 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 | Sample type | Geographic location | Country | Country ISO 3 Code | Continent | Latitude | Longitude | |
|---|---|---|---|---|---|---|---|---|
| 19273 | soil | KwaZulu Natal province, banks of Umgeni River (29° 28' 23'' S, 30° 28' 6'' E) | South Africa | ZAF | Africa | -29.4731 | 30.4683 -29.4731/30.4683 | |
| 67770 | Soil from the banks of the Umgeni River | KwaZulu Natal Province | South Africa | ZAF | Africa |
Global distribution of 16S sequence DQ110876 (>99% sequence identity) for Amycolatopsis from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM1420515v1 assembly for Amycolatopsis umgeniensis DSM 45272 | contig | 336628 | 75.67 | ||||
| 124043 | ASM4267656v1 assembly for Amycolatopsis umgeniensis JCM 31205 | scaffold | 336628 | 62.06 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 19273 | Amycolatopsis umgeniensis strain UM16 16S ribosomal RNA gene, partial sequence | DQ110876 | 1446 | 336628 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 98.32 | no |
| 125439 | gram_stain | BacteriaNetⓘ | positive | 79.08 | no |
| 125439 | spore_formation | BacteriaNetⓘ | no | 65.54 | no |
| 125439 | motility | BacteriaNetⓘ | no | 79.86 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 87.04 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 96.88 | no |
| 125438 | spore-forming | spore-formingⓘ | yes | 81.51 | no |
| 125438 | aerobic | aerobicⓘ | yes | 90.24 | no |
| 125438 | thermophilic | thermophileⓘ | no | 97.09 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 89.00 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Phylogeny | Amycolatopsis umgeniensis sp. nov., isolated from soil from the banks of the Umgeni River in South Africa. | Everest GJ, le Roes-Hill M, Omorogie C, Cheung SK, Cook AE, Goodwin CM, Meyers PR | Antonie Van Leeuwenhoek | 10.1007/s10482-012-9851-7 | 2012 |
| #19273 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 45272 |
| #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; |
| #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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https://doi.org/10.13145/bacdive23215.20260601.11
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