Acinetobacter halotolerans (KEMB 9005-333, KACC 18453, JCM 31009)

Name: Acinetobacter halotolerans (KEMB 9005-333, KACC 18453, JCM 31009)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 163932

Type strain

Culture col. no. KEMB 9005-333 KACC 18453 JCM 31009

NCBI tax ID(s) 1752076

Special Collections JCM

Links

Acinetobacter halotolerans JCM 31009 is a mesophilic prokaryote that was isolated from Soil from reclaimed grassland in Hwaseong.

mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 132541

JCM 31009

@ref 20215

Last LPSN update 2025-12-16 10:09:20

Domain Pseudomonadati

Phylum Pseudomonadota

Class Gammaproteobacteria

Order Pseudomonadales

Family Moraxellaceae

Genus Acinetobacter

Species Acinetobacter halotolerans

Full scientific name Acinetobacter halotolerans Dahal et al. 2017

Morphology

Cell morphology

@ref	Gram stain	Confidence
125438	negative	99.5
125439	negative	94.7

Culture and growth conditions

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
67770	positive	growth	30	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125438	aerobe	91.649
125439	obligate aerobe	98.6

Spore formation

@ref	Spore formation	Confidence
125438		92.448
125439		98.8

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
67770	Soil from reclaimed grassland in Hwaseong	Gyeonggi-Do	Republic of Korea	KOR	Asia

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
67770	ASM420851v1 assembly for Acinetobacter halotolerans JCM 31009	contig	GCA_004208515	1752076.3	2881054222	1752076	70.42

Genome browser: GCA_004208515

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
67770	Acinetobacter halotolerans strain R160 16S ribosomal RNA gene, partial sequence	KT032155	1468		1752076

GC content

@ref	GC-content (mol%)	Method
67770	44.9	high performance liquid chromatography (HPLC)

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Acinetobacter halotolerans JCM 31009
NCBI: GCA_004208515

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	98.80	no
125439	motility	BacteriaNetⓘ	yes	53.80	no
125439	gram_stain	BacteriaNetⓘ	negative	94.70	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	98.60	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Acinetobacter halotolerans strain JCM 31009
PATRIC: 1752076.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	99.50	no
125438	anaerobic	anaerobicⓘ	no	98.05	no
125438	spore-forming	spore-formingⓘ	no	92.45	no
125438	aerobic	aerobicⓘ	yes	91.65	no
125438	thermophilic	thermophileⓘ	no	99.50	yes
125438	flagellated	motile2+ⓘ	no	76.67	no

Literature

Title	Authors	Journal	DOI	Year
List of new names and new combinations previously effectively, but not validly, published.	Oren A, Garrity GM.	Int J Syst Evol Microbiol	10.1099/ijsem.0.002278	2017
Acinetobacter halotolerans sp. nov., a novel halotolerant, alkalitolerant, and hydrocarbon degrading bacterium, isolated from soil.	Dahal RH, Chaudhary DK, Kim J	Arch Microbiol	10.1007/s00203-017-1349-2	2017

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 )
#67770	Japan Collection of Microorganism (JCM) ; Curators of the JCM;
#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 halotolerans (KEMB 9005-333, KACC 18453, JCM 31009)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Isolation, sampling and environmental information

Isolation

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_004208515

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

Help

Social Media