Kurthia massiliensis JC30 is a mesophilic prokaryote that was isolated from human stool.
mesophilic genome sequence 16S sequence| @ref 20215 |
|
|
| Domain Bacillati |
| Phylum Bacillota |
| Class Bacilli |
| Order Caryophanales |
| Family Caryophanaceae |
| Genus Kurthia |
| Species Kurthia massiliensis |
| Full scientific name Kurthia massiliensis Roux et al. 2013 |
| BacDive ID | Other strains from Kurthia massiliensis (1) | Type strain |
|---|---|---|
| 23195 | K. massiliensis JC31, DSM 24640 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 19267 | TRYPTICASE SOY YEAST EXTRACT MEDIUM (DSMZ Medium 92) | Medium recipe at MediaDive | Name: TRYPTICASE SOY YEAST EXTRACT MEDIUM (DSMZ Medium 92) Composition: Trypticase soy broth 30.0 g/l Agar 15.0 g/l Yeast extract 3.0 g/l Distilled water |
| @ref | Growth | Type | Temperature (°C) | Range | |
|---|---|---|---|---|---|
| 19267 | positive | growth | 28 | mesophilic |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Host Body Product | #Gastrointestinal tract | #Feces (Stool) | |
| #Host | #Human | - |
| @ref | Sample type | Geographic location | Country | Country ISO 3 Code | Continent | |
|---|---|---|---|---|---|---|
| 19267 | human stool | Dielmo | Senegal | SEN | Africa |
Global distribution of 16S sequence JF824795 (>99% sequence identity) for Kurthia massiliensis subclade from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM28555v1 assembly for Kurthia massiliensis JC30 | scaffold | 1033739 | 50.03 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 19267 | Kurthia massiliensis 16S ribosomal RNA gene, partial sequence | JF824795 | 1471 | 1033739 |
| 19267 | GC-content (mol%)39.26 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 52.80 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 56.20 | no |
| 125439 | gram_stain | BacteriaNetⓘ | variable | 84.60 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 95.50 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 74.67 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 93.56 | no |
| 125438 | aerobic | aerobicⓘ | yes | 74.69 | no |
| 125438 | spore-forming | spore-formingⓘ | yes | 66.27 | no |
| 125438 | thermophilic | thermophileⓘ | no | 89.58 | yes |
| 125438 | flagellated | motile2+ⓘ | yes | 77.72 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Transcriptome | Multilocus sequence analysis of the genus Kurthia, and a description of Kurthia populi sp. nov. | Fang W, Guo MW, Ruan ZY, Xue H, Wang LF, Tian GZ, Piao CG, Li Y | Int J Syst Evol Microbiol | 10.1099/ijsem.0.000494 | 2015 | |
| Phylogeny | Kurthia huakuii sp. nov., isolated from biogas slurry, and emended description of the genus Kurthia. | Ruan Z, Wang Y, Song J, Jiang S, Wang H, Li Y, Zhao B, Jiang R, Zhao B | Int J Syst Evol Microbiol | 10.1099/ijs.0.056044-0 | 2013 |
| #19267 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 24639 |
| #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) . |
| #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 ) |
| #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/bacdive23194.20251217.10
When using BacDive for research please cite the following paper
BacDive in 2025: the core database for prokaryotic strain data