Salimicrobium salexigens 29CMI is a bacterium that was isolated from salted cowskin obtained from Australia.
genome sequence 16S sequence Bacteria| @ref 20215 |
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| Domain Bacteria |
| Phylum Bacillota |
| Class Bacilli |
| Order Caryophanales |
| Family Bacillaceae |
| Genus Salimicrobium |
| Species Salimicrobium salexigens |
| Full scientific name Salimicrobium salexigens de la Haba et al. 2011 |
| BacDive ID | Other strains from Salimicrobium salexigens (1) | Type strain |
|---|---|---|
| 161771 | S. salexigens JCM 16415 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 16515 | BACTO MARINE BROTH (DIFCO 2216) (DSMZ Medium 514) | Medium recipe at MediaDive | Name: BACTO MARINE BROTH (DIFCO 2216) (DSMZ Medium 514; with strain-specific modifications) Composition: NaCl 50.0 g/l MgCl2 5.9 g/l Bacto peptone 5.0 g/l Na2SO4 3.24 g/l CaCl2 1.8 g/l Yeast extract 1.0 g/l KCl 0.55 g/l NaHCO3 0.16 g/l Fe(III) citrate 0.1 g/l KBr 0.08 g/l SrCl2 0.034 g/l H3BO3 0.022 g/l Na2HPO4 0.008 g/l Na-silicate 0.004 g/l NaF 0.0024 g/l (NH4)NO3 0.0016 g/l Distilled water |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 67770 | IMG-taxon 2681813520 annotated assembly for Salimicrobium salexigens DSM 22782 | scaffold | 908941 | 68.64 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 16515 | Salimicrobium salexigens 16S rRNA gene, type strain 29CMIT | FR714935 | 1481 | 908941 |
| @ref | GC-content (mol%) | Method | |
|---|---|---|---|
| 16515 | 50.7 | thermal denaturation, midpoint method (Tm) |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | yes | 92.70 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 86.50 | no |
| 125439 | gram_stain | BacteriaNetⓘ | variable | 86.30 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | facultative anaerobe | 85.10 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 79.71 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 95.97 | no |
| 125438 | aerobic | aerobicⓘ | yes | 80.31 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 51.21 | no |
| 125438 | thermophilic | thermophileⓘ | no | 86.08 | no |
| 125438 | flagellated | motile2+ⓘ | yes | 65.18 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Diversity and Biotechnological Potential of Cultivable Halophilic and Halotolerant Bacteria from the "Los Negritos" Geothermal Area. | Guevara-Luna J, Arroyo-Herrera I, Tapia-Garcia EY, Estrada-de Los Santos P, Ortega-Nava AJ, Vasquez-Murrieta MS. | Microorganisms | 10.3390/microorganisms12030482 | 2024 | ||
| Phylogeny | Salimicrobium humidisoli sp. nov., Isolated from Saline-Alkaline Soil. | Xiong Q, Liu Y, Zhao J, Fang Z, Zhang G | Curr Microbiol | 10.1007/s00284-021-02551-4 | 2021 | |
| Phylogeny | Salimicrobium jeotgali sp. nov., isolated from salted, fermented seafood. | Choi EJ, Jin HM, Kim KH, Jeon CO | Int J Syst Evol Microbiol | 10.1099/ijs.0.062042-0 | 2014 | |
| Phylogeny | Salimicrobium salexigens sp. nov., a moderately halophilic bacterium from salted hides. | de la Haba RR, Yilmaz P, Sanchez-Porro C, Birbir M, Ventosa A | Syst Appl Microbiol | 10.1016/j.syapm.2011.04.002 | 2011 |
| #16515 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 22782 |
| #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 ) |
| #67770 | Japan Collection of Microorganism (JCM) ; Curators of the JCM; |
| #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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If you want to cite this particular strain cite the following doi:
https://doi.org/10.13145/bacdive1552.20251217.10
When using BacDive for research please cite the following paper
BacDive in 2025: the core database for prokaryotic strain data