Haemophilus influenzae DSM 25829 is a microaerophile, mesophilic prokaryote that was isolated from human sputum.
microaerophile mesophilic genome sequence| @ref 20215 |
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| Domain Bacteria |
| Phylum Pseudomonadota |
| Class Gammaproteobacteria |
| Order Pasteurellales |
| Family Pasteurellaceae |
| Genus Haemophilus |
| Species Haemophilus influenzae |
| Full scientific name Haemophilus influenzae corrig. (Lehmann and Neumann 1896) Winslow et al. 1917 (Approved Lists 1980) |
| Synonyms (2) |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 18117 | HAEMOPHILUS MEDIUM (DSMZ Medium 804) | Medium recipe at MediaDive | Name: HAEMOPHILUS MEDIUM (DSMZ Medium 804) Composition: Mueller-Hinton broth 21.0 g/l Yeast extract 5.0 g/l Distilled water |
| @ref | Growth | Type | Temperature (°C) | Range | |
|---|---|---|---|---|---|
| 18117 | positive | growth | 37 | mesophilic |
| Test 1 | Test 2 | Test 3 | |
|---|---|---|---|
| @ref | 18117 | 18117 | 18117 |
| Medium | Mueller-Hinton Agar | Mueller-Hinton Agar | M 804 |
| Manual annotation | 1 | 1 | 1 |
| Inhibition zone diameter in mm | Inhibition zone diameter in mm | Inhibition zone diameter in mm | |
| Amikacin 30µg (disc) | 24 | 26 | 12 |
| Ampicillin 10µg (disc) | 16 | 16 | 0 |
| Aztreonam 30µg (disc) | 40 | 44 | 34-36 |
| Bacitracin 10Unit | 0 | 6 | n.d. |
| Cefalotin 30µg (disc) | 32 | 32 | n.d. |
| Cefazolin 30µg (disc) | 30 | 30 | n.d. |
| Cefiderocol 30µg (disc) | n.d. | n.d. | 24 |
| Cefotaxime 30µg (disc) | 44 | 50 | 36-38 |
| Ceftazidime 10µg (disc) | n.d. | n.d. | 26 |
| Ceftriaxone 30µg (disc) | 46 | 50 | 36 |
| Chloramphenicol 30µg (disc) | 40 | 46 | 30 |
| Ciprofloxacin 5µg (disc) | n.d. | n.d. | 30 |
| Clindamycin 10µg (disc) | 20-22 | 26 | 6 |
| Colistin 10µg (disc) | 20 | 20 | n.d. |
| Colistin sulphate 10µg (disc) | n.d. | n.d. | 18 |
| Doxycycline 30µg (disc) | 32 | 34 | n.d. |
| Erythromycin 15µg (disc) | 20-22 | 24-26 | 10-12 |
| Fosfomycin 50µg (disc) | 50 | >50 | 38 |
| Gentamicin 30µg (disc) | n.d. | n.d. | 12-14 |
| Gentamycin 10µg (disc) | n.d. | ||
| Imipenem 10µg (disc) | 34 | 40 | 22 |
| Kanamycin 30µg (disc) | 26-28 | 30 | 16 |
| Levofloxacin 5µg (disc) | n.d. | n.d. | 30 |
| Lincomycin 15µg (disc) | 10 | 16-18 | n.d. |
| Linezolid 10µg (disc) | 22-24 | 24 | 14 |
| Meropenem 10µg (disc) | n.d. | n.d. | 30 |
| Mezlocillin 30µg (disc) | 12 | 12 | n.d. |
| Moxifloxacin 5µg (disc) | 34 | 40 | 24-26 |
| Neomycin 30µg (disc) | 20 | 20 | n.d. |
| Nitrofurantoin 100µg (disc) | 40 | 40-42 | 28 |
| Norfloxacin 10µg (disc) | 40 | 40 | n.d. |
| Nystatin 100Unit | 0 | 0 | n.d. |
| Ofloxacin 5µg (disc) | 36-38 | 40 | 24 |
| Oxacillin 5µg (disc) | 0 | 0 | 0 |
| Penicillin G 6µg (disc) | 0 | 0 | 0 |
| Pipemidic acid 20µg (disc) | 24-26 | 26 | n.d. |
| Piperacillin/Tazobactam 40µg (disc) | 36 | 40 | n.d. |
| Piperacillin/Tazobactam 110µg (disc) | n.d. | n.d. | 30 |
| Polymyxin B 300Unit | 20 | 18-20 | 18 |
| Quinupristin/Dalfopristin 15µg (disc) | 20-22 | 24 | 20 |
| Rifampicin 5µg (disc) | n.d. | n.d. | 20 |
| Teicoplanin 30µg (disc) | 8 | 8 | 8 |
| Tetracycline 30µg (disc) | 36 | 40 | 24 |
| Ticarcillin 75µg (disc) | 24-26 | 24-26 | 10 |
| Tigecycline 15µg (disc) | n.d. | n.d. | 22-24 |
| Trimethoprim-sulfamethoxazole (1:19) 10µg (disc) | n.d. | n.d. | 28 |
| Vancomycin 30µg (disc) | 10 | 10 | 6 |
| @ref | ChEBI | Metabolite | Is resistant | Resistance conc. | |
|---|---|---|---|---|---|
| 18117 | 7660 | Nystatin | 100 Unit | from Antibiotic test | |
| 18117 | 7809 | Oxacillin | 5 µg (disc) | from Antibiotic test | |
| 18117 | 18208 | Penicillin G | 6 µg (disc) | from Antibiotic test |
| @ref | Sample type | Geographic location | Country | Country ISO 3 Code | Continent | |
|---|---|---|---|---|---|---|
| 18117 | human (68 years old) sputum | Chungnam | Republic of Korea | KOR | Asia |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 96.10 | no |
| 125439 | motility | BacteriaNetⓘ | no | 58.20 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 96.70 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 97.80 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 97.08 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 96.80 | yes |
| 125438 | spore-forming | spore-formingⓘ | no | 91.42 | no |
| 125438 | aerobic | aerobicⓘ | no | 89.90 | no |
| 125438 | thermophilic | thermophileⓘ | no | 96.50 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 93.06 | no |
| #18117 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 25829 |
| #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) . |
| #68377 | Automatically annotated from API NH . |
| #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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If you want to cite this particular strain cite the following doi:
https://doi.org/10.13145/bacdive11706.20251217.10
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BacDive in 2025: the core database for prokaryotic strain data