Lactobacillus delbrueckii subsp. jakobsenii CHCC13979 is a microaerophile, mesophilic, Gram-positive prokaryote that was isolated from malted sorghum wort used for making the African fermented beverage dolo wort.
Gram-positive rod-shaped microaerophile mesophilic genome sequence 16S sequence| @ref 20215 |
|
|
| Domain Bacillati |
| Phylum Bacillota |
| Class Bacilli |
| Order Lactobacillales |
| Family Lactobacillaceae |
| Genus Lactobacillus |
| Species Lactobacillus delbrueckii subsp. jakobsenii |
| Full scientific name Lactobacillus delbrueckii subsp. jakobsenii Adimpong et al. 2013 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 20995 | MRS MEDIUM (DSMZ Medium 11) | Medium recipe at MediaDive | Name: MRS MEDIUM (DSMZ Medium 11) Composition: Glucose 20.0 g/l Casein peptone 10.0 g/l Meat extract 10.0 g/l Na-acetate 5.0 g/l Yeast extract 5.0 g/l (NH4)3 citrate 2.0 g/l K2HPO4 2.0 g/l Tween 80 1.0 g/l MgSO4 x 7 H2O 0.2 g/l MnSO4 x H2O 0.05 g/l Distilled water |
| @ref | Ability | Type | PH | PH range | |
|---|---|---|---|---|---|
| 30974 | positive | optimum | 4 | acidophile |
| @ref | Spore formation | Confidence | |
|---|---|---|---|
| 125439 | 91.4 |
| @ref | Salt | Growth | Tested relation | Concentration | |
|---|---|---|---|---|---|
| 30974 | NaCl | positive | optimum | 4 % |
| @ref | Murein short key | Type | |
|---|---|---|---|
| 20995 | A11.31 | A4alpha L-Lys-D-Asp |
| 30974 | Observationaggregates in clumps |
| @ref | Chebi-ID | Metabolite | Utilization activity | Kind of utilization tested | |
|---|---|---|---|---|---|
| 68371 | 27613 ChEBI | amygdalin | - | builds acid from | from API 50CH acid |
| 68371 | 18305 ChEBI | arbutin | - | builds acid from | from API 50CH acid |
| 68371 | 17057 ChEBI | cellobiose | - | builds acid from | from API 50CH acid |
| 68371 | 17108 ChEBI | D-arabinose | - | builds acid from | from API 50CH acid |
| 68371 | 18333 ChEBI | D-arabitol | - | builds acid from | from API 50CH acid |
| 68371 | 15824 ChEBI | D-fructose | + | builds acid from | from API 50CH acid |
| 68371 | 28847 ChEBI | D-fucose | - | builds acid from | from API 50CH acid |
| 68371 | 12936 ChEBI | D-galactose | - | builds acid from | from API 50CH acid |
| 68371 | 17634 ChEBI | D-glucose | + | builds acid from | from API 50CH acid |
| 68371 | 62318 ChEBI | D-lyxose | - | builds acid from | from API 50CH acid |
| 68371 | 16899 ChEBI | D-mannitol | - | builds acid from | from API 50CH acid |
| 68371 | 16024 ChEBI | D-mannose | + | builds acid from | from API 50CH acid |
| 68371 | 16988 ChEBI | D-ribose | - | builds acid from | from API 50CH acid |
| 68371 | 17924 ChEBI | D-sorbitol | - | builds acid from | from API 50CH acid |
| 68371 | 16443 ChEBI | D-tagatose | - | builds acid from | from API 50CH acid |
| 68371 | 65327 ChEBI | D-xylose | - | builds acid from | from API 50CH acid |
| 68371 | 17113 ChEBI | erythritol | - | builds acid from | from API 50CH acid |
| 68371 | 4853 ChEBI | esculin | - | builds acid from | from API 50CH acid |
| 30974 | 28757 ChEBI | fructose | + | carbon source | |
| 68371 | 16813 ChEBI | galactitol | - | builds acid from | from API 50CH acid |
| 68371 | 28066 ChEBI | gentiobiose | - | builds acid from | from API 50CH acid |
| 68371 | 24265 ChEBI | gluconate | - | builds acid from | from API 50CH acid |
| 30974 | 17234 ChEBI | glucose | + | carbon source | |
| 68371 | 17754 ChEBI | glycerol | - | builds acid from | from API 50CH acid |
| 68371 | 28087 ChEBI | glycogen | - | builds acid from | from API 50CH acid |
| 68371 | 15443 ChEBI | inulin | - | builds acid from | from API 50CH acid |
| 68371 | 30849 ChEBI | L-arabinose | - | builds acid from | from API 50CH acid |
| 68371 | 18403 ChEBI | L-arabitol | - | builds acid from | from API 50CH acid |
| 68371 | 18287 ChEBI | L-fucose | - | builds acid from | from API 50CH acid |
| 68371 | 62345 ChEBI | L-rhamnose | - | builds acid from | from API 50CH acid |
| 68371 | 17266 ChEBI | L-sorbose | - | builds acid from | from API 50CH acid |
| 68371 | 65328 ChEBI | L-xylose | - | builds acid from | from API 50CH acid |
| 68371 | 17716 ChEBI | lactose | - | builds acid from | from API 50CH acid |
| 30974 | 17306 ChEBI | maltose | + | carbon source | |
| 68371 | 17306 ChEBI | maltose | + | builds acid from | from API 50CH acid |
| 30974 | 37684 ChEBI | mannose | + | carbon source | |
| 68371 | 6731 ChEBI | melezitose | - | builds acid from | from API 50CH acid |
| 68371 | 28053 ChEBI | melibiose | - | builds acid from | from API 50CH acid |
| 68371 | 320061 ChEBI | methyl alpha-D-glucopyranoside | - | builds acid from | from API 50CH acid |
| 68371 | 43943 ChEBI | methyl alpha-D-mannoside | - | builds acid from | from API 50CH acid |
| 68371 | 74863 ChEBI | methyl beta-D-xylopyranoside | - | builds acid from | from API 50CH acid |
| 68371 | 17268 ChEBI | myo-inositol | - | builds acid from | from API 50CH acid |
| 30974 | 506227 ChEBI | N-acetylglucosamine | + | carbon source | |
| 68371 | Potassium 2-ketogluconate | - | builds acid from | from API 50CH acid | |
| 68371 | Potassium 5-ketogluconate | - | builds acid from | from API 50CH acid | |
| 68371 | 16634 ChEBI | raffinose | - | builds acid from | from API 50CH acid |
| 68371 | 15963 ChEBI | ribitol | - | builds acid from | from API 50CH acid |
| 30974 | 17814 ChEBI | salicin | + | carbon source | |
| 68371 | 17814 ChEBI | salicin | - | builds acid from | from API 50CH acid |
| 68371 | 28017 ChEBI | starch | - | builds acid from | from API 50CH acid |
| 30974 | 17992 ChEBI | sucrose | + | carbon source | |
| 68371 | 17992 ChEBI | sucrose | + | builds acid from | from API 50CH acid |
| 30974 | 27082 ChEBI | trehalose | + | carbon source | |
| 68371 | 27082 ChEBI | trehalose | + | builds acid from | from API 50CH acid |
| 68371 | 32528 ChEBI | turanose | - | builds acid from | from API 50CH acid |
| 68371 | 17151 ChEBI | xylitol | - | builds acid from | from API 50CH acid |
| @ref | ControlQ | GLY | ERY | DARA | LARA | RIB | DXYL | LXYL | ADO | MDX | GAL | GLU | FRU | MNE | SBE | RHA | DUL | INO | MAN | SOR | MDM | MDG | NAG | AMY | ARB | ESC | SAL | CEL | MAL | LAC | MEL | SAC | TRE | INU | MLZ | RAF | AMD | GLYG | XLT | GEN | TUR | LYX | TAG | DFUC | LFUC | DARL | LARL | GNT | 2KG | 5KG | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 20995 | - | - | - | - | - | - | - | - | - | - | - | + | + | + | - | - | - | - | - | - | - | - | + | - | - | - | - | - | + | - | - | + | + | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |
| 20995 | - | - | - | - | - | - | - | - | - | - | - | + | + | + | - | - | - | - | - | - | - | - | - | - | - | - | - | - | + | - | - | + | + | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Global distribution of 16S sequence JQ801728 (>99% sequence identity) for Lactobacillus delbrueckii from Microbeatlas ![]()
| @ref | Biosafety level | Biosafety level comment | |
|---|---|---|---|
| 20995 | 1 | Risk group (German classification) |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM188892v1 assembly for Lactobacillus delbrueckii subsp. jakobsenii ZN7a-9 = DSM 26046 | complete | 1217420 | 97.49 | ||||
| 66792 | Lactobacillus delbrueckii subsp. jakobsenii ZN7a-9 = DSM 26046 | complete | 1217420 | 81.4 | ||||
| 67770 | ASM38756v1 assembly for Lactobacillus delbrueckii subsp. jakobsenii ZN7a-9 = DSM 26046 | contig | 1217420 | 64.27 | ||||
| 67770 | ASM435461v1 assembly for Lactobacillus delbrueckii subsp. jakobsenii DSM 26046 | scaffold | 1537158 | 63.83 | ||||
| 67770 | ASM143748v1 assembly for Lactobacillus delbrueckii subsp. jakobsenii ZN7a-9 = DSM 26046 | scaffold | 1217420 | 52.42 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 20995 | Lactobacillus delbrueckii subsp. jakobsenii ZN7a-9 = DSM 26046 16S ribosomal RNA gene, partial sequence | JQ801728.1 | 1382 | 1217420 | ||
| 67770 | Lactobacillus delbrueckii subsp. jakobsenii ZN7a-9 = DSM 26046 16S ribosomal RNA gene, partial sequence | JQ801728 | 1382 | 1217420 | ||
| 124043 | Lactobacillus delbrueckii subsp. jakobsenii JCM30917 gene for 16S rRNA, partial sequence. | LC685621 | 1435 | 1537158 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | oxygen_tolerance | BacteriaNetⓘ | anaerobe | 99.70 | no |
| 125439 | gram_stain | BacteriaNetⓘ | positive | 60.40 | no |
| 125439 | motility | BacteriaNetⓘ | no | 65.70 | no |
| 125439 | spore_formation | BacteriaNetⓘ | no | 91.40 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 94.27 | yes |
| 125438 | anaerobic | anaerobicⓘ | no | 79.30 | no |
| 125438 | aerobic | aerobicⓘ | no | 97.74 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 88.33 | no |
| 125438 | thermophilic | thermophileⓘ | no | 94.50 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 95.50 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Lactobacillus delbrueckii subsp. allosunkii and lactis as emerging human uropathogens in elderly patients. | Guerin F, Sassi M, Gravey F, Zouari A, Quenet B, Lecourt M, Ract P, Michaux C, Auzou M, Isnard C, Cattoir V. | J Clin Microbiol | 10.1128/jcm.02072-24 | 2025 | ||
| Genomic Characterization of Wild Lactobacillus delbrueckii Strains Reveals Low Diversity but Strong Typicity. | Grizon A, Theil S, Helinck S, Gerber P, Bonnarme P, Chassard C. | Microorganisms | 10.3390/microorganisms12030512 | 2024 | ||
| Genetics | Genome mining approach reveals the CRISPR-Cas systems features and characteristics in Lactobacillus delbrueckii strains. | Panahi B, Rostampour M, Ghaffari MR, Nami Y. | Heliyon | 10.1016/j.heliyon.2024.e39920 | 2024 | |
| Phylogeny | Identification and Monitoring of Lactobacillus delbrueckii Subspecies Using Pangenomic-Based Novel Genetic Markers. | Kim E, Cho EJ, Yang SM, Kim HY. | J Microbiol Biotechnol | 10.4014/jmb.2009.09034 | 2021 | |
| Genetics | Genomic and Phenotypic Characterization of Mastitis-Causing Staphylococci and Probiotic Lactic Acid Bacteria Isolated from Raw Sheep's Milk. | Apostolakos I, Skarlatoudi T, Vatavali K, Giannouli A, Bosnea L, Mataragas M. | Int J Mol Sci | 10.3390/ijms241813883 | 2023 | |
| Genetics | Draft genome sequence of Lactobacillus delbrueckii subsp. bulgaricus LBP UFSC 2230: a tool for preliminary identification of enzymes involved in CLA metabolism. | Kuhl GC, Mazzon RR, Duarte RTD, De Dea Lindner J. | Braz J Microbiol | 10.1007/s42770-021-00479-2 | 2021 | |
| Genetics | Antimicrobial Susceptibility of Lactobacillus delbrueckii subsp. lactis from Milk Products and Other Habitats. | Shani N, Oberhaensli S, Berthoud H, Schmidt RS, Bachmann HP. | Foods | 10.3390/foods10123145 | 2021 | |
| Probiogenomics of Lactobacillus delbrueckii subsp. lactis CIDCA 133: In Silico, In Vitro, and In Vivo Approaches. | de Jesus LCL, Drumond MM, Aburjaile FF, Sousa TJ, Coelho-Rocha ND, Profeta R, Brenig B, Mancha-Agresti P, Azevedo V. | Microorganisms | 10.3390/microorganisms9040829 | 2021 | ||
| Genetics | Differentiation of Lacticaseibacillus zeae Using Pan-Genome Analysis and Real-Time PCR Method Targeting a Unique Gene. | Kim E, Yang SM, Kim HY. | Foods | 10.3390/foods10092112 | 2021 | |
| Phylogeny | Classification of Latilactobacillus sakei subspecies based on MALDI-TOF MS protein profiles using machine learning models. | Kim E, Yang S-M, Lee S-Y, Jung D-H, Kim H-Y. | Microbiol Spectr | 10.1128/spectrum.03668-23 | 2024 | |
| Phylogeny | Lactobacillus delbrueckii subsp. jakobsenii subsp. nov., isolated from dolo wort, an alcoholic fermented beverage in Burkina Faso. | Adimpong DB, Nielsen DS, Sorensen KI, Vogensen FK, Sawadogo-Lingani H, Derkx PMF, Jespersen L | Int J Syst Evol Microbiol | 10.1099/ijs.0.048769-0 | 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 ) |
| #20995 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 26046 |
| #27304 | IJSEM 3720 2013 ( DOI 10.1099/ijs.0.048769-0 , PubMed 23645015 ) |
| #30974 | 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 #27304 |
| #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) . |
| #67770 | Japan Collection of Microorganism (JCM) ; Curators of the JCM; |
| #68371 | Automatically annotated from API 50CH acid . |
| #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 ) |
You found an error in BacDive? Please tell us about it!
Note that changes will be reviewed and judged. If your changes are legitimate, changes will occur within the next BacDive update. Only proposed changes supported by the according reference will be reviewed. The BacDive team reserves the right to reject proposed changes.
Successfully sent
If you want to cite this particular strain cite the following doi:
https://doi.org/10.13145/bacdive24135.20251217.10
When using BacDive for research please cite the following paper
BacDive in 2025: the core database for prokaryotic strain data