Brooklawnia cerclae BL-34 is an anaerobe, mesophilic, Gram-positive prokaryote that was isolated from groundwater, contaminated by chlorosolvents and petrolium hydrocarbons.
Gram-positive rod-shaped anaerobe mesophilic genome sequence 16S sequence| @ref 20215 |
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| Domain Bacillati |
| Phylum Actinomycetota |
| Class Actinomycetes |
| Order Propionibacteriales |
| Family Propionibacteriaceae |
| Genus Brooklawnia |
| Species Brooklawnia cerclae |
| Full scientific name Brooklawnia cerclae Rainey et al. 2006 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 8126 | PYG MEDIUM (MODIFIED) (DSMZ Medium 104) | Medium recipe at MediaDive | Name: PYG MEDIUM (modified) (DSMZ Medium 104) Composition: Yeast extract 10.0 g/l Peptone 5.0 g/l Trypticase peptone 5.0 g/l Beef extract 5.0 g/l Glucose 5.0 g/l L-Cysteine HCl x H2O 0.5 g/l NaHCO3 0.4 g/l NaCl 0.08 g/l K2HPO4 0.04 g/l KH2PO4 0.04 g/l MgSO4 x 7 H2O 0.02 g/l CaCl2 x 2 H2O 0.01 g/l Hemin 0.005 g/l Ethanol 0.0038 g/l Resazurin 0.001 g/l Tween 80 Vitamin K1 NaOH Distilled water |
| @ref | Salt | Growth | Tested relation | Concentration | |
|---|---|---|---|---|---|
| 31802 | NaCl | positive | growth | 0-3 % |
| @ref | Chebi-ID | Metabolite | Utilization activity | Kind of utilization tested | |
|---|---|---|---|---|---|
| 31802 | 22599 ChEBI | arabinose | + | carbon source | |
| 31802 | 28757 ChEBI | fructose | + | carbon source | |
| 31802 | 28260 ChEBI | galactose | + | carbon source | |
| 31802 | 17234 ChEBI | glucose | + | carbon source | |
| 31802 | 17754 ChEBI | glycerol | + | carbon source | |
| 31802 | 28087 ChEBI | glycogen | + | carbon source | |
| 31802 | 24996 ChEBI | lactate | + | carbon source | |
| 31802 | 17306 ChEBI | maltose | + | carbon source | |
| 31802 | 29864 ChEBI | mannitol | + | carbon source | |
| 31802 | 37684 ChEBI | mannose | + | carbon source | |
| 31802 | 15361 ChEBI | pyruvate | + | carbon source | |
| 31802 | 26546 ChEBI | rhamnose | + | carbon source | |
| 31802 | 33942 ChEBI | ribose | + | carbon source |
| @ref | Sample type | Geographic location | Country | Country ISO 3 Code | Continent | |
|---|---|---|---|---|---|---|
| 8126 | groundwater, contaminated by chlorosolvents and petrolium hydrocarbons | Baton Rouge Louisiana | USA | USA | North America | |
| 60665 | Chlorosolvent-contaminated anaerobic groundwater | Brooklawn,well W-1024-1 | USA | USA | North America | |
| 67770 | Chlorosolvent-contaminated anaerobic groundwater | LA | USA | USA | North America |
Global distribution of 16S sequence DQ196625 (>99% sequence identity) for Brooklawnia cerclae subclade from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 67770 | ASM1175864v1 assembly for Brooklawnia cerclae DSM 19609 | contig | 349934 | 74.68 | ||||
| 124043 | ASM4242886v1 assembly for Brooklawnia cerclae JCM 14918 | scaffold | 349934 | 70.62 | ||||
| 124043 | ASM3953046v1 assembly for Brooklawnia cerclae JCM 14918 | scaffold | 349934 | 67.42 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 8126 | Brooklawnia cerclae strain BL-34 16S ribosomal RNA gene, partial sequence | DQ196625 | 1459 | 349934 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 90.00 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 55.80 | no |
| 125439 | gram_stain | BacteriaNetⓘ | positive | 81.80 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 71.00 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 89.51 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 75.24 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 73.08 | yes |
| 125438 | aerobic | aerobicⓘ | no | 55.39 | no |
| 125438 | thermophilic | thermophileⓘ | no | 93.88 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 92.00 | yes |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Phylogeny | Brooklawnia cerclae gen. nov., sp. nov., a propionate-forming bacterium isolated from chlorosolvent-contaminated groundwater. | Bae HS, Moe WM, Yan J, Tiago I, da Costa MS, Rainey FA | Int J Syst Evol Microbiol | 10.1099/ijs.0.64317-0 | 2006 |
| #8126 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 19609 |
| #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 ) |
| #31802 | Barberan A, Caceres Velazquez H, Jones S, Fierer N.: Hiding in Plain Sight: Mining Bacterial Species Records for Phenotypic Trait Information. mSphere 2: 2017 ( DOI 10.1128/mSphere.00237-17 , PubMed 28776041 ) - originally annotated from #28071 (see below) |
| #60665 | Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 55599 |
| #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 . |
| #124043 | Isabel Schober, Julia Koblitz: Data extracted from sequence databases, automatically matched based on designation and taxonomy . |
| #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/bacdive12669.20251217.10
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BacDive in 2025: the core database for prokaryotic strain data