Saccharomonospora iraqiensis IQ-H1 is a bacterium that was isolated from saline soil.
genome sequence 16S sequence Bacteria| @ref 20215 |
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| Domain Bacteria |
| Phylum Actinomycetota |
| Class Actinomycetes |
| Order Pseudonocardiales |
| Family Pseudonocardiaceae |
| Genus Saccharomonospora |
| Species Saccharomonospora iraqiensis |
| Full scientific name Saccharomonospora iraqiensis (Ruan et al. 1994) Nouioui et al. 2018 |
| Synonyms (1) |
| @ref: | 11949 |
| multimedia content: | DSM_44640.jpg |
| multimedia.multimedia content: | https://www.dsmz.de/microorganisms/photos/DSM_44640.jpg |
| caption: | Medium 1159 28°C |
| intellectual property rights: | © Leibniz-Institut DSMZ |
| manual_annotation: | 1 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 11949 | MODIFIED CM+YE MEDIUM (B) (DSMZ Medium 910) | Medium recipe at MediaDive | Name: MODIFIED CM+YE MEDIUM (B) (DSMZ Medium 910) Composition: NaCl 100.0 g/l Agar 15.0 g/l MgSO4 x 7 H2O 10.0 g/l Yeast extract 10.0 g/l Casamino acids 7.5 g/l Trisodium citrate x 2 H2O 3.0 g/l KCl 2.0 g/l FeSO4 x 7 H2O 0.0498 g/l Distilled water | ||
| 11949 | GYM STREPTOMYCES MEDIUM 10% NACL (DSMZ Medium 1159) | Medium recipe at MediaDive | Name: GYM STREPTOMYCES MEDIUM 10% NACL (DSMZ Medium 1159) Composition: NaCl 100.0 g/l Agar 15.0 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 |
| 67770 | Observationquinones: MK-9(H4) |
Global distribution of 16S sequence EF372523 (>99% sequence identity) for Saccharomonospora from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | |
|---|---|---|---|---|---|---|---|
| 67770 | ASM43044v1 assembly for Saccharomonospora iraqiensis subsp. iraqiensis IQ-H1 | scaffold | 882080 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 20218 | Actinopolyspora iraqiensis strain A.S. 4.1193 16S ribosomal RNA gene, partial sequence | EF372522 | 1516 | 882080 | ||
| 20218 | A.iraqiensis (IQ-H1T) DNA for 16S-23S rRNA intergenic spacer | Z46602 | 329 | 882080 | ||
| 11949 | Actinopolyspora iraqiensis strain DSM 44640 16S ribosomal RNA gene, partial sequence | EF372523 | 1434 | 882080 |
| @ref | GC-content (mol%) | Method | |
|---|---|---|---|
| 67770 | 71.5 | genome sequence analysis |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 90.80 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 91.92 | no |
| 125438 | aerobic | aerobicⓘ | yes | 85.89 | no |
| 125438 | spore-forming | spore-formingⓘ | yes | 69.25 | no |
| 125438 | thermophilic | thermophileⓘ | no | 79.87 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 92.50 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Genetics | Genome-Based Taxonomic Classification of the Phylum Actinobacteria. | Nouioui I, Carro L, Garcia-Lopez M, Meier-Kolthoff JP, Woyke T, Kyrpides NC, Pukall R, Klenk HP, Goodfellow M, Goker M. | Front Microbiol | 10.3389/fmicb.2018.02007 | 2018 |
| #11949 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 44640 |
| #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 ) |
| #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 . |
| #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 ) |
| #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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