Haemophilus influenzae CCUG 60490 is a microaerophile bacterium that was isolated from Human cerebrospinal fluid.
microaerophile genome sequence Bacteria| @ref 20215 |
|
|
| 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 | Growth | Type | Temperature (°C) | |
|---|---|---|---|---|
| 62329 | positive | growth | 37 |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Host | #Human | - | |
| #Host Body Product | #Fluids | #Cerebrospinal fluid | |
| #Infection | #Patient | - |
| @ref | Sample type | Sampling date | Geographic location | Country | Country ISO 3 Code | Continent | |
|---|---|---|---|---|---|---|---|
| 62329 | Human cerebrospinal fluid | 2010-11-01 | Sundsvall | Sweden | SWE | Europe |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM167941v1 assembly for Haemophilus influenzae CCUG 60490 | scaffold | 727 | 73.44 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 99.30 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 60.20 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 99.80 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 99.50 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 98.31 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 96.60 | yes |
| 125438 | aerobic | aerobicⓘ | no | 93.93 | yes |
| 125438 | spore-forming | spore-formingⓘ | no | 93.67 | no |
| 125438 | thermophilic | thermophileⓘ | no | 96.50 | no |
| 125438 | flagellated | motile2+ⓘ | no | 95.23 | no |
| #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 ) |
| #62329 | Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 60490 |
| #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) . |
| #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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