Haemophilus haemolyticus (CCUG 39154)

Name: Haemophilus haemolyticus (CCUG 39154)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 150165

Type strain

Culture col. no. CCUG 39154

NCBI tax ID(s) 726

Special Collections CCUG

Links

Haemophilus haemolyticus CCUG 39154 is a bacterium that was isolated from Human eye.

genome sequence Bacteria

Name and taxonomic classification

SI-ID 54202

CCUG 39154

@ref 20215

Last LPSN update 2026-02-09 11:36:21

Domain Bacteria

Phylum Pseudomonadota

Class Gammaproteobacteria

Order Pasteurellales

Family Pasteurellaceae

Genus Haemophilus

Species Haemophilus haemolyticus

Full scientific name Haemophilus haemolyticus Bergey et al. 1923 (Approved Lists 1980)

BacDive ID	Other strains from **Haemophilus haemolyticus** (15)	Type strain
135242	H. haemolyticus AQ/3273, CIP 103290, ATCC 33390, CCUG 12834, ... (type strain)
135135	H. haemolyticus 628-86, CIP 102627
137213	H. haemolyticus 625-86, CIP 102619
137750	H. haemolyticus CIP 100496
137935	H. haemolyticus 209-86, CIP 102232
137939	H. haemolyticus 213-86, CIP 102238
137975	H. haemolyticus 343-86, CIP 102348, CCUG 34110
137996	H. haemolyticus 428-86, CIP 102433
138602	H. haemolyticus 663-84, CIP 101065
142849	H. haemolyticus CCUG 15312
142897	H. haemolyticus CCUG 15642
144273	H. haemolyticus CCUG 24149
145010	H. haemolyticus CCUG 27396
156901	H. haemolyticus CCUG 66543
156904	H. haemolyticus CCUG 66565

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	negative	99.5
125438		95.655
125438	negative	96.978

Culture and growth conditions

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	96

Spore formation

@ref	Spore formation	Confidence
125439		99.2
125438		94.671

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host	#Human	-
#Host Body-Site	#Organ	#Eye

Isolation

@ref	Sample type	Sampling date	Geographic location	Country	Country ISO 3 Code	Continent
54671	Human eye	1998-03-19	Göteborg	Sweden	SWE	Europe

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM167944v1 assembly for Haemophilus haemolyticus CCUG 39154	scaffold	GCA_001679445	726.60	8017334321	726	74.64

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Haemophilus haemolyticus CCUG 39154
NCBI: GCA_001679445

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	99.20	no
125439	motility	BacteriaNetⓘ	no	66.70	no
125439	gram_stain	BacteriaNetⓘ	negative	99.50	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	96.00	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Haemophilus haemolyticus CCUG 39154
NCBI: GCA_001679445.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	96.98	no
125438	anaerobic	anaerobicⓘ	no	91.26	no
125438	aerobic	aerobicⓘ	no	90.23	no
125438	spore-forming	spore-formingⓘ	no	94.67	no
125438	thermophilic	thermophileⓘ	no	96.48	no
125438	flagellated	motile2+ⓘ	no	95.66	no

Literature

References

#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 )
#54671	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 39154
#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 )

Rate our new design

Content

About us