Acinetobacter soli (CIP 110476, NIPH 2899)

Name: Acinetobacter soli (CIP 110476, NIPH 2899)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 139530

Type strain

Culture col. no. CIP 110476 NIPH 2899

NCBI tax ID(s) 1217677 487316

Special Collections CIP

History 2012, A. Nemec, Inst. Pasteur, Paris, France: strain NIPH 2899 CIP <- 2012, A. Nemec, Inst. Pasteur, Paris, France: strain NIPH 2899

Links

Acinetobacter soli CIP 110476 is a mesophilic, Gram-negative, motile prokaryote of the family Moraxellaceae.

Gram-negative motile oval-shaped mesophilic genome sequence

Name and taxonomic classification

SI-ID 413607

CIP 110476

@ref 20215

Last LPSN update 2026-02-09 11:33:22

Domain Bacteria

Phylum Pseudomonadota

Class Gammaproteobacteria

Order Pseudomonadales

Family Moraxellaceae

Genus Acinetobacter

Species Acinetobacter soli

Full scientific name Acinetobacter soli Kim et al. 2009

BacDive ID	Other strains from **Acinetobacter soli** (3)	Type strain
8143	A. soli B1, CR11, IBFC2009, DSM 22956, JCM 15062, ... (type strain)
157050	A. soli CCUG 69144
173620	A. soli R9, CIP 110879, CIP 200008

Morphology

Cell morphology

@ref	Gram stain	Cell shape	Confidence
125438	negative		100
125439	negative		93.7
41856	negative	oval-shaped

Culture and growth conditions

Culture medium

@ref	Name	Growth	Composition	Medium link
41856	MEDIUM 72- for trypto casein soja agar		Distilled water make up to (1000.000 ml);Trypto casein soy agar (40.000 g)
41856	CIP Medium 72			Medium recipe at CIP

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
41856	positive	growth	30	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125438	aerobe	90.029
125439	aerobe	91.9

Spore formation

@ref	Spore formation	Confidence
125438		93.557
125439		98.9

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent	Isolation date
41856		Praha	Czech Republic	CZE	Europe
41856	Human, Sputum	Prague	Czech Republic	CZE	Europe	2005

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
41856	1	Risk group (French classification)

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	Acin_soli_NIPH_2899_V1 assembly for Acinetobacter soli NIPH 2899	scaffold	GCA_000368725	1217677.3	2565956697	1217677	76.91

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Acinetobacter soli NIPH 2899
NCBI: GCA_000368725

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	aerobe	91.90	no
125439	gram_stain	BacteriaNetⓘ	negative	93.70	no
125439	motility	BacteriaNetⓘ	no	64.50	no
125439	spore_formation	BacteriaNetⓘ	no	98.90	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Acinetobacter soli NIPH 2899 NIPH 2899
NCBI: GCA_000368725.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	100.00	no
125438	anaerobic	anaerobicⓘ	no	98.68	no
125438	aerobic	aerobicⓘ	yes	90.03	no
125438	spore-forming	spore-formingⓘ	no	93.56	no
125438	thermophilic	thermophileⓘ	no	99.48	no
125438	flagellated	motile2+ⓘ	no	78.63	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Genetics	Metagenomic Profiling of Microbial Pathogens in the Little Bighorn River, Montana.	Hamner S, Brown BL, Hasan NA, Franklin MJ, Doyle J, Eggers MJ, Colwell RR, Ford TE.	Int J Environ Res Public Health	10.3390/ijerph16071097	2019

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 )
#41856	Collection of Institut Pasteur ; Curators of the CIP; CIP 110476
#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

Acinetobacter soli (CIP 110476, NIPH 2899)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Isolation, sampling and environmental information

Isolation

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_000368725

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

Help

Social Media