Ornithinimicrobium tianjinense (CGMCC 1.12160, JCM 18464, B2)

Name: Ornithinimicrobium tianjinense (CGMCC 1.12160, JCM 18464, B2)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 134039

Type strain

Strain Designation B2

Culture col. no. CGMCC 1.12160 JCM 18464 B2

NCBI tax ID(s) 1195761

Special Collections JCM Literature strains

History Z.-P. Liu B2.

Links

Ornithinimicrobium tianjinense B2 is an aerobe, Gram-positive, rod-shaped bacterium that was isolated from built environment.

Gram-positive rod-shaped aerobe genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 393334

JCM 18464

@ref 20215

Last LPSN update 2026-02-09 11:32:05

Domain Bacteria

Phylum Actinomycetota

Class Actinomycetes

Order Micrococcales

Family Ornithinimicrobiaceae

Genus Ornithinimicrobium

Species Ornithinimicrobium tianjinense

Full scientific name Ornithinimicrobium tianjinense Liu et al. 2013

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Confidence
31115	positive	1.35 µm	0.5 µm	rod-shaped
125439	positive				99.5
125438					93.5
125438	positive				92.43

Pigmentation

31115

Productionyes

Culture and growth conditions

Culture temp

@ref	Growth	Type	Temperature (°C)
31115	positive	growth	20-40
31115	positive	optimum	30
67770	positive	growth	25

Culture pH

@ref	Ability	Type	PH	PH range
31115	positive	optimum	6.75
31115	positive	growth	5.5-9.0	alkaliphile

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
31115	aerobe
125439	obligate aerobe	99.3

Spore formation

31115

Spore formationno

Halophily

@ref	Salt	Growth	Tested relation	Concentration
31115	NaCl	positive	growth	0-9 %

Observation

@ref	Observation
31115	aggregates in clumps
67770	quinones: MK-8(H₄)

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
31115	58143 ChEBI	5-dehydro-D-gluconate	+	carbon source
31115	28757 ChEBI	fructose	+	carbon source
31115	24265 ChEBI	gluconate	+	carbon source
31115	17754 ChEBI	glycerol	+	carbon source
31115	28087 ChEBI	glycogen	+	carbon source
31115	17306 ChEBI	maltose	+	carbon source
31115	17632 ChEBI	nitrate	+	reduction
31115	16634 ChEBI	raffinose	+	carbon source
31115	33942 ChEBI	ribose	+	carbon source
31115	17992 ChEBI	sucrose	+	carbon source
31115	27082 ChEBI	trehalose	+	carbon source

Metabolite production

@ref	Chebi-ID	Metabolite	Production
31115	16136 ChEBI	hydrogen sulfide

Enzymes

@ref	Value	Activity	Ec
31115	acid phosphatase	+	3.1.3.2
31115	catalase	+	1.11.1.6
31115	gelatinase	+

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2
#Engineered	#Built environment

Isolation

@ref	Sample type
31115	built environment
67770	Recirculating aquaculture system

Taxonmaps

69479

Global distribution of 16S sequence JQ948045 (>99% sequence identity) for Ornithinimicrobium tianjinense subclade from Microbeatlas

Aquatic Samples	30
Soil Samples	22
Animal Samples	370
Plant Samples	1
Total Samples	423

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
124043	ASM4266066v1 assembly for Ornithinimicrobium tianjinense JCM 18464	contig	GCA_042660665			1195761	76.72
124043	ASM3954372v1 assembly for Ornithinimicrobium tianjinense JCM 18464	scaffold	GCA_039543725			1195761	75.52
66792	ASM1463649v1 assembly for Ornithinimicrobium tianjinense CGMCC 1.12160	scaffold	GCA_014636495	1195761.3	2989324779	1195761	74.45

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
31115	Ornithinimicrobium tianjinense strain B2 16S ribosomal RNA gene, partial sequence	JQ948045	1478		1195761

GC content

@ref	GC-content (mol%)	Method
31115	68.3
67770	68.3	thermal denaturation, midpoint method (Tm)

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Ornithinimicrobium tianjinense CGMCC 1.12160
NCBI: GCA_014636495

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	99.30	no
125439	gram_stain	BacteriaNetⓘ	positive	99.50	no
125439	motility	BacteriaNetⓘ	no	73.00	no
125439	spore_formation	BacteriaNetⓘ	no	67.60	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Ornithinimicrobium tianjinense CGMCC 1.12160
NCBI: GCA_014636495.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	92.43	no
125438	anaerobic	anaerobicⓘ	no	95.78	yes
125438	aerobic	aerobicⓘ	yes	88.89	yes
125438	spore-forming	spore-formingⓘ	no	81.13	no
125438	thermophilic	thermophileⓘ	no	92.77	no
125438	flagellated	motile2+ⓘ	no	93.50	yes

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Ornithinimicrobium tianjinense sp. nov., isolated from a recirculating aquaculture system.	Liu LZ, Liu Y, Chen Z, Liu HC, Zhou YG, Liu ZP	Int J Syst Evol Microbiol	10.1099/ijs.0.052514-0	2013

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 )
#27444	IJSEM 4489 2013 ( DOI 10.1099/ijs.0.052514-0 , PubMed 23907216 )
#31115	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 #27444
#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) .
#67770	Japan Collection of Microorganism (JCM) ; Curators of the JCM;
#69479	João F Matias Rodrigues, Janko Tackmann,Gregor Rot, Thomas SB Schmidt, Lukas Malfertheiner, Mihai Danaila,Marija Dmitrijeva, Daniela Gaio, Nicolas Näpflin and Christian von Mering. University of Zurich.: MicrobeAtlas 1.0 beta .
#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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Ornithinimicrobium tianjinense (CGMCC 1.12160, JCM 18464, B2)

Name and taxonomic classification

Morphology

Cell morphology

Pigmentation

Culture and growth conditions

Culture temp

Culture pH

Physiology and metabolism

Oxygen tolerance

Spore formation

Halophily

Observation

Metabolite utilization

Metabolite production

Enzymes

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_042660665

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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