Haemophilus haemoglobinophilus 375 is a microaerophile, mesophilic prokaryote that was isolated from dog, prepuce.
microaerophile mesophilic genome sequence 16S sequence| @ref 20215 |
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| Domain Bacteria |
| Phylum Pseudomonadota |
| Class Gammaproteobacteria |
| Order Pasteurellales |
| Family Pasteurellaceae |
| Genus Haemophilus |
| Species Haemophilus haemoglobinophilus |
| Full scientific name Haemophilus haemoglobinophilus (Lehmann and Neumann 1907) Murray 1939 (Approved Lists 1980) |
| Synonyms (2) |
| BacDive ID | Other strains from Haemophilus haemoglobinophilus (1) | Type strain |
|---|---|---|
| 143683 | H. haemoglobinophilus CCUG 20967 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 15589 | CHOCOLATE AGAR (DSMZ Medium 429b) | Medium recipe at MediaDive | Name: CHOCOLATE AGAR (DSMZ Medium 429b) Composition: Horse blood 100.0 g/l Sheep blood 100.0 g/l Columbia agar base | ||
| 37738 | MEDIUM 10 - Chocolate medium for Actinobacillus pleuropneumoniae, Capnocytophaga cynodegmi, Haemophilus and Neisseria | Distilled water make up to (1000.000 ml);Columbia agar (39.000 g);Horseblood (100.000 ml);PolyVitex mischung (10.000 ml) | |||
| 119763 | CIP Medium 10 | Medium recipe at CIP |
Global distribution of 16S sequence M75064 (>99% sequence identity) for Haemophilus haemoglobinophilus subclade from Microbeatlas ![]()
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 99.60 | no |
| 125439 | motility | BacteriaNetⓘ | no | 62.70 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 99.30 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 93.40 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 97.60 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 94.23 | yes |
| 125438 | aerobic | aerobicⓘ | no | 78.92 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 93.46 | no |
| 125438 | thermophilic | thermophileⓘ | no | 99.00 | no |
| 125438 | flagellated | motile2+ⓘ | no | 94.86 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| The effect of the oral administration of lactic-acid probiotic bacteria on the vaginal microflora of bitches. | Andrzej Socha P, Zdunczyk S. | J Vet Res | 10.2478/jvetres-2025-0041 | 2025 | ||
| Double semen collection at a 1-h interval in dogs decreases the bacterial contamination of canine ejaculates. | Lechner D, Aurich J, Spergser J, Aurich C. | Theriogenology | 10.1016/j.theriogenology.2023.06.002 | 2023 | ||
| The Cultivable Bacteria Colonizing Canine Vagina During Proestrus and Estrus: A Large-Scale Retrospective Study of Influencing Factors. | Schafer-Somi S, Lechner D, Tichy A, Spergser J. | Animals (Basel) | 10.3390/ani14233460 | 2024 | ||
| The Impact of a Multi-Strain Probiotic Supplementation on Puppies Manifesting Diarrhoeic Symptoms During the Initial Seven Days of Life. | Socha PA, Socha BM. | Animals (Basel) | 10.3390/ani15121700 | 2025 | ||
| The Impact of Microorganisms on Canine Semen Quality. | Domrazek K, Konieczny P, Majka M, Czopowicz M, Jurka P. | Animals (Basel) | 10.3390/ani14091267 | 2024 | ||
| Composition of the fecal, vaginal and colostrum microbiotas of dams at parturition and their relationship with neonatal outcomes in dogs. | Garrigues Q, Apper E, Mercier F, Rodiles A, Rovere N, Chastant S, Mila H. | Anim Microbiome | 10.1186/s42523-025-00384-1 | 2025 | ||
| Phylogeny | Reclassification of [Haemophilus] haemoglobinophilus as Canicola haemoglobinophilus gen. nov., comb. nov. including Bisgaard taxon 35. | Christensen H, Kuhnert P, Foster G, Bisgaard M | Int J Syst Evol Microbiol | 10.1099/ijsem.0.004881 | 2021 |
| #15589 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 21241 |
| #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 ) |
| #20218 | Verslyppe, B., De Smet, W., De Baets, B., De Vos, P., Dawyndt P.: StrainInfo introduces electronic passports for microorganisms.. Syst Appl Microbiol. 37: 42 - 50 2014 ( DOI 10.1016/j.syapm.2013.11.002 , PubMed 24321274 ) |
| #37738 | ; Curators of the CIP; |
| #44684 | Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 3714 |
| #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 . |
| #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 . |
| #119763 | Collection of Institut Pasteur ; Curators of the CIP; CIP 53.88 |
| #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/bacdive11712.20251217.10
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BacDive in 2025: the core database for prokaryotic strain data