Haemophilus pleuropneumoniae (DSM 112700, 16287-1)

Name: Haemophilus pleuropneumoniae (DSM 112700, 16287-1)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 160510

Type strain

Strain Designation 16287-1

Culture col. no. DSM 112700 16287-1

NCBI tax ID(s) 715

Special Collections DSMZ

History <- C. Rohde, University of Veterinary Medicine Hannover, Germany; 16287-1 <- J. Bosse, Imperial College London; <- Ö. Angen, National Veterinary Institute, Technical University of Denmark, Copenhagen;

Links

Haemophilus pleuropneumoniae 16287-1 is a mesophilic animal pathogen that was isolated from pig tonsil.

mesophilic animal pathogen genome sequence

Name and taxonomic classification

SI-ID 402849

DSM 112700

@ref 20215

Last LPSN update 2026-02-09 11:38:54

Domain Bacteria

Phylum Pseudomonadota

Class Gammaproteobacteria

Order Pasteurellales

Family Pasteurellaceae

Genus Haemophilus

Species Haemophilus pleuropneumoniae

Full scientific name Haemophilus pleuropneumoniae corrig. Shope 1964 (Approved Lists 1980)

Synonyms (2)

Hemophilus pleuropneumoniae
Actinobacillus pleuropneumoniae

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	negative	90
125438		92.321
125438	negative	97.5

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
67418	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

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
67418	positive	growth	37	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	96.8

Spore formation

@ref	Spore formation	Confidence
125439		90.7

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Country	Country ISO 3 Code	Continent	Latitude	Longitude
67418	pig tonsil	Denmark	DNK	Europe	55.79	12.5158 55.79/12.5158

Interaction and safety

Risk assessment

@ref	Pathogenicity animal	Biosafety level	Biosafety level comment
67418		2	Risk group (German classification)

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	NCBI tax ID	Score
66792	ASM2195326v1 assembly for Actinobacillus pleuropneumoniae 16287-1	complete	GCA_021953265	715.194	715	98.34

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Actinobacillus pleuropneumoniae 16287-1
NCBI: GCA_021953265

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	90.70	no
125439	motility	BacteriaNetⓘ	no	60.40	no
125439	gram_stain	BacteriaNetⓘ	negative	90.00	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	96.80	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Actinobacillus pleuropneumoniae 16287-1
NCBI: GCA_021953265.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	97.50	no
125438	anaerobic	anaerobicⓘ	no	94.32	no
125438	aerobic	aerobicⓘ	no	79.60	no
125438	spore-forming	spore-formingⓘ	no	89.87	no
125438	thermophilic	thermophileⓘ	no	97.50	yes
125438	flagellated	motile2+ⓘ	no	92.32	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 )
#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) .
#67418	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 112700
#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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