Sporosarcina newyorkensis R-31323 is an aerobe, mesophilic prokaryote that was isolated from raw milk.
aerobe mesophilic genome sequence 16S sequence| @ref 20215 |
|
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| Domain Bacteria |
| Phylum Bacillota |
| Class Bacilli |
| Order Caryophanales |
| Family Caryophanaceae |
| Genus Sporosarcina |
| Species Sporosarcina newyorkensis |
| Full scientific name Sporosarcina newyorkensis Wolfgang et al. 2012 |
| BacDive ID | Other strains from Sporosarcina newyorkensis (5) | Type strain |
|---|---|---|
| 12006 | S. newyorkensis 6062, DSM 23544, CCUG 59649, LMG 26022 (type strain) | |
| 12002 | S. newyorkensis 2681, DSM 23540, CCUG 59651, LMG 26024 | |
| 12003 | S. newyorkensis 1655, DSM 23541, CCUG 59648, LMG 26023 | |
| 12004 | S. newyorkensis 4331, DSM 23542, CCUG 59647, LMG 26020 | |
| 12005 | S. newyorkensis 5868, DSM 23543, CCUG 59650, LMG 26021 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 17457 | CASO AGAR (MERCK 105458) (DSMZ Medium 220) | Medium recipe at MediaDive | Name: CASO AGAR (Merck 105458) (DSMZ Medium 220; with strain-specific modifications) Composition: Agar 15.0 g/l Casein peptone 15.0 g/l NaCl 5.0 g/l Soy peptone 5.0 g/l MnSO4 0.01 g/l Distilled water |
Global distribution of 16S sequence AM910326 (>99% sequence identity) for Sporosarcina newyorkensis subclade from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | IMG-taxon 2596583703 annotated assembly for Sporosarcina newyorkensis DSM 23966 | scaffold | 759851 | 74.02 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 17457 | Sporosarcina newyorkensis partial 16S rRNA gene, strain R-31323 | AM910326 | 1514 | 759851 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | yes | 83.40 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 75.70 | no |
| 125439 | gram_stain | BacteriaNetⓘ | variable | 80.80 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 91.20 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 75.03 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 95.69 | yes |
| 125438 | aerobic | aerobicⓘ | yes | 77.08 | no |
| 125438 | spore-forming | spore-formingⓘ | yes | 85.21 | no |
| 125438 | thermophilic | thermophileⓘ | no | 90.21 | yes |
| 125438 | flagellated | motile2+ⓘ | yes | 82.00 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Phenotypic Characterization and Draft Genome Sequence Analyses of Two Novel Endospore-Forming Sporosarcina spp. Isolated from Canada Goose (Branta canadensis) Feces. | Keshri J, Smith KM, Svendsen MK, Keillor HR, Moss ML, Jordan HJ, Larkin AM, Garrish JK, Line JE, Ball PN, Oakley BB, Seal BS. | Microorganisms | 10.3390/microorganisms12010070 | 2023 | ||
| Phylogeny | Probing the microbial diversity and probiotic candidates from Pakistani foods: isolation, characterization, and functional profiling. | Mumtaz A, Ali A, Batool R, Mughal AF, Ahmad N, Batool Z, Abbas S, Khalid N, Ahmed I. | 3 Biotech | 10.1007/s13205-023-03903-6 | 2024 |
| #17457 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 23966 |
| #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 ) |
| #62235 | Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 60203 |
| #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/bacdive12007.20251217.10
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BacDive in 2025: the core database for prokaryotic strain data