Microbacterium faecale (DSM 27232, CGMCC 1.15152, KCTC 39554)

Name: Microbacterium faecale (DSM 27232, CGMCC 1.15152, KCTC 39554)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 132660

Type strain

Culture col. no. DSM 27232 CGMCC 1.15152 KCTC 39554 YIM 101168

NCBI tax ID(s) 1804630

Special Collections DSMZ KCTC Literature strains

History <- W.-J. Li <- X. Chen, Yunnan Institute of Microbiology, Yunnan University, Kunming, China; YIM 101168

Links

Microbacterium faecale DSM 27232 is an aerobe, Gram-positive prokaryote that was isolated from dove faeces, Columba livia.

Gram-positive aerobe genome sequence 16S sequence

Name and taxonomic classification

SI-ID 400012

KCTC 39554,DSM 27232

@ref 20215

Last LPSN update 2026-02-09 11:31:46

Domain Bacteria

Phylum Actinomycetota

Class Actinomycetes

Order Micrococcales

Family Microbacteriaceae

Genus Microbacterium

Species Microbacterium faecale

Full scientific name Microbacterium faecale Chen et al. 2016

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Confidence
24965	positive	0.7 µm	0.5 µm
24965	positive	0.7 µm	0.5 µm	rod-shaped
125438	positive				90.779

Colony morphology

@ref	Colony size	Colony color	Medium used
24965	0.5-3.0 mm	yellow	ISP2

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
24965	ISP2
24449	TRYPTICASE SOY YEAST EXTRACT MEDIUM (DSMZ Medium 92)		Medium recipe at MediaDive	Name: TRYPTICASE SOY YEAST EXTRACT MEDIUM (DSMZ Medium 92) Composition: Trypticase soy broth 30.0 g/l Agar 15.0 g/l Yeast extract 3.0 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
24449	positive	growth	28	mesophilic
24965	positive	growth	7-37

Culture pH

@ref	Ability	Type	PH	PH range
24965	positive	growth	6.0-10.0	alkaliphile

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
24965	aerobe
125439	obligate aerobe	98.7

Spore formation

@ref	Spore formation	Confidence
24965
125439		93

Halophily

@ref	Salt	Growth	Tested relation	Concentration
24965	NaCl	positive	growth	0-13 %(w/v)
24965	NaCl	positive	growth	0-13.0 %(w/v)

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
24965	17128 ChEBI	adipate	-	assimilation
24965	27613 ChEBI	amygdalin	+	assimilation
24965		casein	-	hydrolysis
24965	62968 ChEBI	cellulose	-	hydrolysis
24965	16947 ChEBI	citrate	-	assimilation
24965	17634 ChEBI	D-glucose	+	assimilation
24965	16899 ChEBI	D-mannitol	+	assimilation
24965	16024 ChEBI	D-mannose	+	assimilation
24965	17924 ChEBI	D-sorbitol	-	assimilation
24965	27689 ChEBI	decanoate	-	assimilation
24965	4853 ChEBI	esculin	+	hydrolysis
24965	5291 ChEBI	gelatin	+	hydrolysis
24965	30849 ChEBI	L-arabinose	+	assimilation
24965	16467 ChEBI	L-arginine	-	hydrolysis
24965	18019 ChEBI	L-lysine	+	hydrolysis
24965	15729 ChEBI	L-ornithine	+	hydrolysis
24965	62345 ChEBI	L-rhamnose	+	assimilation
24965	25115 ChEBI	malate	-	assimilation
24965	17306 ChEBI	maltose	+	assimilation
24965	28053 ChEBI	melibiose	-	assimilation
24965	17268 ChEBI	myo-inositol	-	assimilation
24965	506227 ChEBI	N-acetylglucosamine	+	assimilation
24965	17632 ChEBI	nitrate	-	reduction
24965	18401 ChEBI	phenylacetate	-	assimilation
24965	32032 ChEBI	potassium gluconate	+	assimilation
24965	28017 ChEBI	starch	-	hydrolysis
24965	17992 ChEBI	sucrose	-	assimilation
24965	27897 ChEBI	tryptophan	-	energy source
24965	53424 ChEBI	tween 20	-	hydrolysis
24965	53426 ChEBI	tween 80	-	hydrolysis
24965	16199 ChEBI	urea	-	hydrolysis

Metabolite production

@ref	Chebi-ID	Metabolite	Production
24965	15688 ChEBI	acetoin
24965	35581 ChEBI	indole

Metabolite tests

@ref	Chebi-ID	Metabolite	Voges-proskauer-test	Indole test
24965	15688 ChEBI	acetoin	+
24965	35581 ChEBI	indole		-

Enzymes

@ref	Value	Activity	Ec
24965	acid phosphatase	+	3.1.3.2
24965	alkaline phosphatase	+	3.1.3.1
24965	alpha-chymotrypsin	-	3.4.21.1
24965	alpha-fucosidase	-	3.2.1.51
24965	alpha-galactosidase	+	3.2.1.22
24965	alpha-glucosidase	+	3.2.1.20
24965	alpha-mannosidase	-	3.2.1.24
24965	beta-galactosidase	+	3.2.1.23
24965	beta-glucosidase	+	3.2.1.21
24965	beta-glucuronidase	+	3.2.1.31
24965	catalase	+	1.11.1.6
24965	cystine arylamidase	+	3.4.11.3
24965	cytochrome oxidase	-	1.9.3.1
24965	esterase (C 4)	+
24965	esterase lipase (C 8)	+
24965	leucine arylamidase	+	3.4.11.1
24965	lipase (C 14)	-
24965	N-acetyl-beta-glucosaminidase	+	3.2.1.52
24965	naphthol-AS-BI-phosphohydrolase	+
24965	trypsin	-	3.4.21.4
24965	tryptophan deaminase	-	4.1.99.1
24965	valine arylamidase	+

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host	#Birds	-
#Host Body Product	#Gastrointestinal tract	#Feces (Stool)

Isolation

@ref	Sample type	Host species	Geographic location	Country	Country ISO 3 Code	Continent	Enrichment culture duration	Enrichment culture temperature
24449	dove faeces, Columba livia	Columba livia	Yunnan Province, Yunnan Wild Animal Park	China	CHN	Asia
24965							7 days	28

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
24449	1	Risk group (German classification)

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM1464097v1 assembly for Microbacterium faecale CGMCC 1.15152	scaffold	GCA_014640975	1804630.3	2996305440	1804630	76.72

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
24449	Microbacterium faecale strain YIM 101168 16S ribosomal RNA gene, partial sequence	KT756666	1519		1804630

GC content

@ref	GC-content (mol%)	Method
24449	69.7	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: Microbacterium faecale CGMCC 1.15152
NCBI: GCA_014640975

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	93.00	no
125439	motility	BacteriaNetⓘ	yes	55.40	no
125439	gram_stain	BacteriaNetⓘ	positive	75.10	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	98.70	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Microbacterium faecale CGMCC 1.15152
NCBI: GCA_014640975.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	90.78	no
125438	anaerobic	anaerobicⓘ	no	98.09	yes
125438	aerobic	aerobicⓘ	yes	85.37	yes
125438	spore-forming	spore-formingⓘ	no	79.76	no
125438	thermophilic	thermophileⓘ	no	92.87	no
125438	flagellated	motile2+ⓘ	no	89.50	yes

Literature

Topic	Title	Authors	Journal	DOI	Year
Genetics	Four new Microbacterium species isolated from seaweeds and reclassification of five Microbacterium species with a proposal of Paramicrobacterium gen. nov. under a genome-based framework of the genus Microbacterium.	Lee SD, Yang HL, Kim IS.	Front Microbiol	10.3389/fmicb.2023.1299950	2023
Phylogeny	Microbacterium faecale sp. nov., isolated from the faeces of Columba livia.	Chen X, Li GD, Li QY, Xu FJ, Jiang CL, Han L, Huang XS, Jiang Y	Int J Syst Evol Microbiol	10.1099/ijsem.0.001372	2016

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 )
#24449	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 27232
#24965	X. L. Chen, Gui-Ding,Li, Qin-Yuan,Xu, Fang-Ji,Jiang, Cheng-Lin,Han, Li,Huang, Xue-Shi,Jiang, Yi: Microbacterium faecale sp. nov., isolated from the faeces of Columba livia. IJSEM 66: 4445 - 4450 2016 ( DOI 10.1099/ijsem.0.001372 , PubMed 27498962 )
#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 )

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Microbacterium faecale (DSM 27232, CGMCC 1.15152, KCTC 39554)

Name and taxonomic classification

Morphology

Cell morphology

Colony morphology

Culture and growth conditions

Culture medium

Culture temp

Culture pH

Physiology and metabolism

Oxygen tolerance

Spore formation

Halophily

Metabolite utilization

Metabolite production

Metabolite tests

Enzymes

Isolation, sampling and environmental information

Isolation source categories

Isolation

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_014640975

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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