Acinetobacter indicus (DSM 25388, CCM 7832, CIP 110367)

Name: Acinetobacter indicus (DSM 25388, CCM 7832, CIP 110367)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 8148

Type strain

Strain Designation A648

Culture col. no. DSM 25388 CCM 7832 CIP 110367 MTCC 10660 CCUG 69702 2 more

NCBI tax ID(s) 1217660 1341679 756892

Special Collections DSMZ CCUG CIP Literature strains

Links

Acinetobacter indicus A648 is an aerobe, Gram-negative, ovoid-shaped prokaryote that was isolated from hexachlorocyclohexane dump site.

Gram-negative ovoid-shaped aerobe genome sequence 16S sequence

Name and taxonomic classification

SI-ID 382379

KCTC 42012,CCM 7832,DSM 25388,CIP 110367,CCUG 69702T

@ref 20215

Last LPSN update 2025-12-16 09:48:45

Domain Pseudomonadati

Phylum Pseudomonadota

Class Gammaproteobacteria

Order Pseudomonadales

Family Moraxellaceae

Genus Acinetobacter

Species Acinetobacter indicus

Full scientific name Acinetobacter indicus Malhotra et al. 2012

Synonyms (1)

Acinetobacter guangdongensis

BacDive ID	Other strains from **Acinetobacter indicus** (3)	Type strain
131299	A. indicus 1NM-4, DSM 100979, CCTCC AB 2014199, GIMCC ...
139532	A. indicus CIP 110866, CIP 200002
139603	A. indicus CIP 53.82, ATCC 17976

Morphology

Cell morphology

@ref	Gram stain	Cell width	Cell shape	Confidence
30511	negative	1 µm	ovoid-shaped
120085	negative		oval-shaped
125438	negative			99
125439	negative			90.6

Colony morphology

@ref	Type of hemolysis	Incubation period
18025	gamma	2-3 days

Pigmentation

30511

Productionyes

Culture and growth conditions

Culture medium

@ref	Name	Growth	Composition	Medium link
42124	MEDIUM 368 - for Luria bertani		Distilled water make up to (1000.000 ml);Sodium chloride (10.000 g);Agar(15.000 g);Yeast extract (5.000 g);Tryptone (10.000 g)
120085	CIP Medium 368			Medium recipe at CIP

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
30511	positive	growth	22-42
30511	positive	optimum	28	mesophilic
42124	positive	growth	30	mesophilic
63652	positive	growth	30	mesophilic

Culture pH

@ref	Ability	Type	PH	PH range
30511	positive	optimum	7
30511	positive	growth	07-09	alkaliphile

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
30511	aerobe
63652	aerobe
120085	facultative anaerobe
125438	aerobe	90.054
125439	obligate aerobe	97.6

Spore formation

@ref	Spore formation	Confidence
125438		95.931
125439		91.9

Halophily

@ref	Salt	Growth	Tested relation	Concentration
30511	NaCl	positive	growth	0-5 %
30511	NaCl	positive	optimum	1 %

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
30511	30089 ChEBI	acetate	+	carbon source
68371	27613 ChEBI	amygdalin	+	builds acid from	from API 50CH acid
68371	18305 ChEBI	arbutin	+	builds acid from	from API 50CH acid
68371	17057 ChEBI	cellobiose	+	builds acid from	from API 50CH acid
68371	17108 ChEBI	D-arabinose	-	builds acid from	from API 50CH acid
68371	18333 ChEBI	D-arabitol	-	builds acid from	from API 50CH acid
68371	15824 ChEBI	D-fructose	+	builds acid from	from API 50CH acid
68371	28847 ChEBI	D-fucose	-	builds acid from	from API 50CH acid
68371	12936 ChEBI	D-galactose	+	builds acid from	from API 50CH acid
68371	17634 ChEBI	D-glucose	+	builds acid from	from API 50CH acid
68371	62318 ChEBI	D-lyxose	-	builds acid from	from API 50CH acid
68371	16899 ChEBI	D-mannitol	+	builds acid from	from API 50CH acid
68371	16024 ChEBI	D-mannose	+	builds acid from	from API 50CH acid
68371	16988 ChEBI	D-ribose	+	builds acid from	from API 50CH acid
68371	17924 ChEBI	D-sorbitol	+	builds acid from	from API 50CH acid
68371	16443 ChEBI	D-tagatose	+	builds acid from	from API 50CH acid
68371	65327 ChEBI	D-xylose	-	builds acid from	from API 50CH acid
68371	17113 ChEBI	erythritol	-	builds acid from	from API 50CH acid
68371	4853 ChEBI	esculin	+	builds acid from	from API 50CH acid
30511	16236 ChEBI	ethanol	+	carbon source
68371	16813 ChEBI	galactitol	-	builds acid from	from API 50CH acid
68371	28066 ChEBI	gentiobiose	+	builds acid from	from API 50CH acid
68371	24265 ChEBI	gluconate	+	builds acid from	from API 50CH acid
68371	17754 ChEBI	glycerol	+	builds acid from	from API 50CH acid
68371	28087 ChEBI	glycogen	-	builds acid from	from API 50CH acid
68371	15443 ChEBI	inulin	-	builds acid from	from API 50CH acid
68371	30849 ChEBI	L-arabinose	-	builds acid from	from API 50CH acid
68371	18403 ChEBI	L-arabitol	-	builds acid from	from API 50CH acid
68371	18287 ChEBI	L-fucose	-	builds acid from	from API 50CH acid
68371	62345 ChEBI	L-rhamnose	-	builds acid from	from API 50CH acid
68371	17266 ChEBI	L-sorbose	-	builds acid from	from API 50CH acid
68371	65328 ChEBI	L-xylose	-	builds acid from	from API 50CH acid
68371	17716 ChEBI	lactose	+	builds acid from	from API 50CH acid
68371	17306 ChEBI	maltose	+	builds acid from	from API 50CH acid
68371	6731 ChEBI	melezitose	+	builds acid from	from API 50CH acid
68371	28053 ChEBI	melibiose	-	builds acid from	from API 50CH acid
68371	320061 ChEBI	methyl alpha-D-glucopyranoside	-	builds acid from	from API 50CH acid
68371	43943 ChEBI	methyl alpha-D-mannoside	-	builds acid from	from API 50CH acid
68371	74863 ChEBI	methyl beta-D-xylopyranoside	-	builds acid from	from API 50CH acid
68371	17268 ChEBI	myo-inositol	-	builds acid from	from API 50CH acid
68371	59640 ChEBI	N-acetylglucosamine	+	builds acid from	from API 50CH acid
30511	17632 ChEBI	nitrate	+	reduction
120085	17632 ChEBI	nitrate	+	reduction
120085	16301 ChEBI	nitrite	-	reduction
68371		Potassium 2-ketogluconate	-	builds acid from	from API 50CH acid
68371		Potassium 5-ketogluconate	-	builds acid from	from API 50CH acid
68371	16634 ChEBI	raffinose	-	builds acid from	from API 50CH acid
68371	15963 ChEBI	ribitol	-	builds acid from	from API 50CH acid
68371	17814 ChEBI	salicin	+	builds acid from	from API 50CH acid
68371	17992 ChEBI	sucrose	+	builds acid from	from API 50CH acid
68371	27082 ChEBI	trehalose	+	builds acid from	from API 50CH acid
68371	32528 ChEBI	turanose	-	builds acid from	from API 50CH acid
68371	17151 ChEBI	xylitol	-	builds acid from	from API 50CH acid

Metabolite production

@ref	Chebi-ID	Metabolite	Production
120085	35581 ChEBI	indole

Enzymes

@ref	Value	Activity	Ec
68382	acid phosphatase	+	3.1.3.2	from API zym
68382	alkaline phosphatase	-	3.1.3.1	from API zym
68382	alpha-chymotrypsin	-	3.4.21.1	from API zym
68382	alpha-fucosidase	-	3.2.1.51	from API zym
68382	alpha-galactosidase	-	3.2.1.22	from API zym
68382	alpha-glucosidase	+	3.2.1.20	from API zym
68382	alpha-mannosidase	-	3.2.1.24	from API zym
68382	beta-galactosidase	-	3.2.1.23	from API zym
68382	beta-glucosidase	+	3.2.1.21	from API zym
68382	beta-glucuronidase	-	3.2.1.31	from API zym
18025	catalase	+	1.11.1.6
120085	catalase	+	1.11.1.6
68382	cystine arylamidase	+	3.4.11.3	from API zym
18025	cytochrome-c oxidase	-	1.9.3.1
68382	esterase (C 4)	+		from API zym
68382	esterase lipase (C 8)	+		from API zym
68382	leucine arylamidase	+	3.4.11.1	from API zym
68382	lipase (C 14)	-		from API zym
68382	N-acetyl-beta-glucosaminidase	-	3.2.1.52	from API zym
68382	naphthol-AS-BI-phosphohydrolase	+		from API zym
120085	oxidase	-
68382	trypsin	-	3.4.21.4	from API zym
120085	urease	+	3.5.1.5
68382	valine arylamidase	-		from API zym

API zym

@ref	Control	Alkaline phosphatase	Esterase (C 4)	2-naphtyl caprylateEsterase Lipase (C 8)	Lipase (C 14)	L-leucyl-2-naphthylamideLeucine arylamidase	L-valyl-2-naphthylamideValine arylamidase	L-cystyl-2-naphthylamideCystine arylamidase	Trypsin	alpha- Chymotrypsin	Acid phosphatase	Naphthol-AS-BI-phosphateNaphthol-AS-BI-phosphohydrolase	alpha- Galactosidase	beta- Galactosidase	beta- Glucuronidase	alpha- Glucosidase	beta- Glucosidase	N-acetyl-beta- glucosaminidase	alpha- Mannosidase	alpha- Fucosidase
120085	-	-	+	+	-	+	-	+	-	-	+	+	-	-	-	+	+	-	-	-

API 50CHac

@ref	ControlQ	GLY	ERY	DARA	LARA	RIB	DXYL	LXYL	ADO	MDX	GAL	GLU	FRU	MNE	SBE	RHA	DUL	INO	MAN	SOR	MDM	MDG	NAG	AMY	ARB	ESC	SAL	CEL	MAL	LAC	MEL	SAC	TRE	INU	MLZ	RAF	AMD	GLYG	XLT	GEN	TUR	LYX	TAG	DFUC	LFUC	DARL	LARL	GNT	2KG	5KG
120085	not determinedn.d.	+	-	-	-	+	-	-	-	-	+	+	+	+	-	-	-	-	+	+	-	-	+	+	+	+	+	+	+	+	-	+	+	-	+	-	+/-	-	-	+	-	-	+	-	-	-	-	+	-	-

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2
#Engineered	#Built environment

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
18025	hexachlorocyclohexane dump site	Uttar Pradesh, Lucknow, Ummari village	India	IND	Asia
63652	Hexachlorocyclohexane dump site	Varasani	India	IND	Asia
120085	Environment, Soil samples, HCH dumpsite	Lucknow	India	IND	Asia

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
18025	1	Risk group (German classification) According to TRBA 466
120085	1	Risk group (French classification) According to TRBA 466

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	Acin_indi_CIP110367_V2 assembly for Acinetobacter indicus CIP 110367	scaffold	GCA_000488255	1341679.3	2579779046	1341679	74.94
124043	Acin_indi_ANC_4215_V1 assembly for Acinetobacter indicus ANC 4215	scaffold	GCA_000413875	1217660.3	2565956693	1217660	72.42
66792	ASM83015v1 assembly for Acinetobacter indicus CIP 110367 DSM 25388	contig	GCA_000830155	1341679.5	2663763131	1341679	56.14

16S sequences

@ref	Description	Accession	Length	NCBI tax ID
18025	Acinetobacter indicus strain A648 16S ribosomal RNA gene, partial sequence	HM047743	1393	1341679
124043	Acinetobacter indicus gene for 16S ribosomal RNA, partial sequence, strain: MTCC 10660.	AB859733	1501	756892
124043	Acinetobacter indicus CIP 110367 strain A648 16S ribosomal RNA gene, partial sequence.	OR905802	938	1341679

GC content

@ref	GC-content (mol%)	Method
18025	40.4	thermal denaturation, midpoint method (Tm)
30511	40.4

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Acinetobacter indicus CIP 110367
NCBI: GCA_000488255

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	91.90	no
125439	motility	BacteriaNetⓘ	yes	63.40	no
125439	gram_stain	BacteriaNetⓘ	negative	90.60	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	97.60	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Acinetobacter indicus CIP 110367 CIP 110367
NCBI: GCA_000488255.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	99.00	yes
125438	anaerobic	anaerobicⓘ	no	96.33	no
125438	aerobic	aerobicⓘ	yes	90.05	no
125438	spore-forming	spore-formingⓘ	no	95.93	no
125438	thermophilic	thermophileⓘ	no	99.48	yes
125438	flagellated	motile2+ⓘ	no	79.43	yes

Literature

Topic	Title	Authors	Journal	DOI	Year
Enzymology	Carbapenem-resistance and pathogenicity of bovine Acinetobacter indicus-like isolates.	Klotz P, Gottig S, Leidner U, Semmler T, Scheufen S, Ewers C.	PLoS One	10.1371/journal.pone.0171986	2017
	Complete Genome Sequence of Acinetobacter indicus Type Strain SGAir0564 Isolated from Tropical Air Collected in Singapore.	Vettath VK, Junqueira ACM, Uchida A, Purbojati RW, Houghton JNI, Chenard C, Drautz-Moses DI, Wong A, Kolundzija S, Clare ME, Kushwaha KK, Panicker D, Putra A, Gaultier NE, Heinle CE, Premkrishnan BNV, Schuster SC.	Genome Announc	10.1128/genomea.00230-18	2018
	Counteracting Grey Mould (Botrytis cinerea) in Grapevine 'Glera' Using Three Putative Biological Control Agent Strains (Paraburkholderia sp., Pseudomonas sp., and Acinetobacter sp.): Impact on Symptoms, Yield, and Gene Expression.	Mian G, Belfiore N, Marcuzzo P, Spinelli F, Tomasi D, Colautti A.	Microorganisms	10.3390/microorganisms12081515	2024
	Evaluating the Adjuvant Therapeutic Effects of Probiotic Strains Lactococcus cremoris and Lacticaseibacillus paracasei on Canine Atopic Dermatitis and Their Impact on the Gut and Skin Microbiome.	Huang HW, Yeh TC, Hsieh JC, Tsai CW, Lee YJ, Chen MJ.	Animals (Basel)	10.3390/ani15213098	2025
	In silico design and validation of a highly degenerate primer pair: a systematic approach.	Chukwuemeka PO, Umar HI, Olukunle OF, Oretade OM, Olowosoke CB, Akinsola EO, Elabiyi MO, Kurmi UG, Eigbe JO, Oyelere BR, Isunu LE, Oretade OJ.	J Genet Eng Biotechnol	10.1186/s43141-020-00086-y	2020
Pathogenicity	Bioinformatic Analysis of the Type VI Secretion System and Its Potential Toxins in the Acinetobacter Genus.	Repizo GD, Espariz M, Seravalle JL, Salcedo SP.	Front Microbiol	10.3389/fmicb.2019.02519	2019
Phylogeny	Acinetobacter guangdongensis Feng et al. 2014 is a junior heterotypic synonym of Acinetobacter indicus Malhotra et al. 2012.	Nemec A, Radolfova-Krizova L	Int J Syst Evol Microbiol	10.1099/ijsem.0.002251	2017
Phylogeny	Acinetobacter indicus sp. nov., isolated from a hexachlorocyclohexane dump site.	Malhotra J, Anand S, Jindal S, Rajagopal R, Lal R	Int J Syst Evol Microbiol	10.1099/ijs.0.037721-0	2012

References

#18025	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 25388
#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 )
#26843	IJSEM 2883 2012 ( DOI 10.1099/ijs.0.037721-0 , PubMed 22247213 )
#30511	Barberan A, Caceres Velazquez H, Jones S, Fierer N.: Hiding in Plain Sight: Mining Bacterial Species Records for Phenotypic Trait Information. mSphere 2: 2017 ( DOI 10.1128/mSphere.00237-17 , PubMed 28776041 ) - originally annotated from #26843
#42124	; Curators of the CIP;
#63652	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 69702
#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) .
#68371	Automatically annotated from API 50CH acid .
#68382	Automatically annotated from API zym .
#120085	Collection of Institut Pasteur ; Curators of the CIP; CIP 110367
#124043	Isabel Schober, Julia Koblitz: Data extracted from sequence databases, automatically matched based on designation and taxonomy .
#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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Acinetobacter indicus (DSM 25388, CCM 7832, CIP 110367)

Name and taxonomic classification

Morphology

Cell morphology

Colony morphology

Pigmentation

Culture and growth conditions

Culture medium

Culture temp

Culture pH

Physiology and metabolism

Oxygen tolerance

Spore formation

Halophily

Metabolite utilization

Metabolite production

Enzymes

API zym

API 50CHac

Isolation, sampling and environmental information

Isolation source categories

Isolation

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_000488255

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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