Youngiibacter fragilis 232.1 is an anaerobe bacterium that was isolated from natural gas production water.
anaerobe genome sequence 16S sequence Bacteria| @ref 20215 |
|
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| Domain Bacteria |
| Phylum Bacillota |
| Class Clostridia |
| Order Eubacteriales |
| Family Clostridiaceae |
| Genus Youngiibacter |
| Species Youngiibacter fragilis |
| Full scientific name Youngiibacter fragilis Lawson et al. 2014 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 21300 | PY + X MEDIUM (DSMZ Medium 104b) | Medium recipe at MediaDive | Name: PY + X MEDIUM (DSMZ Medium 104b; with strain-specific modifications) Composition: NaCl 10.0 g/l Yeast extract 10.0 g/l D-Fructose 5.0 g/l Trypticase peptone 5.0 g/l Meat peptone 5.0 g/l L-Cysteine HCl x H2O 0.5 g/l NaHCO3 0.4 g/l KH2PO4 0.04 g/l K2HPO4 0.04 g/l MgSO4 x 7 H2O 0.02 g/l CaCl2 x 2 H2O 0.01 g/l Sodium resazurin 0.0005 g/l Distilled water |
| @ref | Growth | Type | Temperature (°C) | |
|---|---|---|---|---|
| 21300 | positive | growth | 30 |
| @ref | Sample type | Geographic location | Country | Country ISO 3 Code | Continent | |
|---|---|---|---|---|---|---|
| 21300 | natural gas production water | Alaska, Cook Inlet, Beluga River field | USA | USA | North America |
Global distribution of 16S sequence JF262039 (>99% sequence identity) for Youngiibacter fragilis from Microbeatlas ![]()
| @ref | Biosafety level | Biosafety level comment | |
|---|---|---|---|
| 21300 | 1 | Risk group (German classification) |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM49543v3 assembly for Youngiibacter fragilis 232.1 | scaffold | 994573 | 25.47 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 21300 | Youngiibacter fragilis 232.1 16S ribosomal RNA gene, partial sequence | JF262039 | 1442 | 994573 |
| @ref | GC-content (mol%) | Method | |
|---|---|---|---|
| 21300 | 45.5 | high performance liquid chromatography (HPLC) |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate anaerobe | 98.12 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 69.76 | no |
| 125439 | gram_stain | BacteriaNetⓘ | variable | 66.26 | no |
| 125439 | spore_formation | BacteriaNetⓘ | yes | 62.01 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 73.40 | no |
| 125438 | anaerobic | anaerobicⓘ | yes | 73.79 | no |
| 125438 | aerobic | aerobicⓘ | no | 90.07 | yes |
| 125438 | spore-forming | spore-formingⓘ | yes | 52.80 | no |
| 125438 | thermophilic | thermophileⓘ | no | 89.99 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 69.74 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Phylogeny | Proteiniclasticum aestuarii sp. nov., isolated from tidal flat sediment, and emended descriptions of the genus Proteiniclasticum and Proteiniclasticum ruminis. | Namirimu T, Yang JA, Yang SH, Yu J, Kim YJ, Kwon KK | Int J Syst Evol Microbiol | 10.1099/ijsem.0.005275 | 2022 | |
| Phylogeny | Youngiibacter fragilis gen. nov., sp. nov., isolated from natural gas production-water and reclassification of Acetivibrio multivorans as Youngiibacter multivorans comb. nov. | Lawson PA, Wawrik B, Allen TD, Johnson CN, Marks CR, Tanner RS, Harriman BH, Strapoc D, Callaghan AV | Int J Syst Evol Microbiol | 10.1099/ijs.0.053728-0 | 2013 |
| #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 ) |
| #21300 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 24749 |
| #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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https://doi.org/10.13145/bacdive23863.20260601.11
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BacDive in 2025: the core database for prokaryotic strain data