Microbacterium pseudoresistens (DSM 22185, CCM 7688, CCUG 58053)

Name: Microbacterium pseudoresistens (DSM 22185, CCM 7688, CCUG 58053)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 7451

Type strain

Strain Designation CC-005209, CC-5209

Culture col. no. DSM 22185 CCM 7688 CCUG 58053 CC-005209 CC-5209 1 more

NCBI tax ID(s) 640634

Special Collections DSMZ CCUG JCM Literature strains

History <- P. Kämpfer, Univ. Giessen, Germany; CC-5209 <- College of Agriculture and Natural Resources, University Taichung; CC-5209 CCM 7688 <-- P. Kämpfer CC-5209.

Links

Microbacterium pseudoresistens CC-005209 is an aerobe, Gram-positive, rod-shaped bacterium that was isolated from basidiomycete fungus Agaricus blazei Murill.

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

Name and taxonomic classification

SI-ID 402431

DSM 22185,CCUG 58053T

@ref 20215

Last LPSN update 2026-02-09 11:19:28

Domain Bacteria

Phylum Actinomycetota

Class Actinomycetes

Order Micrococcales

Family Microbacteriaceae

Genus Microbacterium

Species Microbacterium pseudoresistens

Full scientific name Microbacterium pseudoresistens Young et al. 2010

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Confidence
29488	positive	2.5 µm	1.1 µm	rod-shaped
125439	positive				98.9
125438					92.5
125438	positive				91.481

Colony morphology

61574

Incubation period1-2 days

Pigmentation

29488

Productionyes

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
16198	COLUMBIA BLOOD MEDIUM (DSMZ Medium 693)		Medium recipe at MediaDive	Name: COLUMBIA BLOOD MEDIUM (DSMZ Medium 693) Composition: Defibrinated sheep blood 50.0 g/l Columbia agar base

Culture temp

@ref	Growth	Type	Temperature (°C)
16198	positive	growth	28
29488	positive	growth	25-30
61574	positive	growth	28
67770	positive	growth	28

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
29488	aerobe
61574	aerobe
125439	obligate aerobe	91.5

Murein

@ref	Murein short key	Type
16198	B09	B2alpha {Gly} [L-Orn] D-Glu-D-Orn

Observation

67770

Observationquinones: MK-13

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
29488	4853 ChEBI	esculin	+	hydrolysis
29488	506227 ChEBI	N-acetylglucosamine	+	carbon source
29488	33942 ChEBI	ribose	+	carbon source
29488	17814 ChEBI	salicin	+	carbon source

Enzymes

@ref	Value	Activity	Ec
29488	catalase	+	1.11.1.6
29488	cytochrome oxidase	+	1.9.3.1

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2
#Host	#Fungi
#Host Body-Site	#Plant

Isolation

@ref	Sample type	Host species	Country	Country ISO 3 Code	Continent
16198	basidiomycete fungus Agaricus blazei Murill	Agaricus blazei	Taiwan, Province of China	TWN	Asia
61574	Stalk of the mushroom Agaricus brasiliensi		Taiwan, Province of China	TWN	Asia
67770	Stalk of the edible mushroom Agaricus blazei grown in the laboratory	Agaricus blazei

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
16198	1	Risk group (German classification) According to TRBA 466

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
67770	ASM1340974v1 assembly for Microbacterium pseudoresistens DSM 22185	contig	GCA_013409745	640634.3	2844835074	640634	78.72
124043	ASM3954414v1 assembly for Microbacterium pseudoresistens JCM 18707	contig	GCA_039544145			640634	56.05

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
16198	Microbacterium pseudoresistens strain CC-005209 16S ribosomal RNA gene, partial sequence	FJ865214	1481		640634

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Microbacterium pseudoresistens DSM 22185
NCBI: GCA_013409745

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	58.30	no
125439	motility	BacteriaNetⓘ	no	76.80	no
125439	gram_stain	BacteriaNetⓘ	positive	98.90	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	91.50	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Microbacterium pseudoresistens strain DSM 22185
PATRIC: 640634.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	91.48	no
125438	anaerobic	anaerobicⓘ	no	97.49	no
125438	spore-forming	spore-formingⓘ	no	79.27	no
125438	aerobic	aerobicⓘ	yes	88.10	yes
125438	thermophilic	thermophileⓘ	no	95.40	yes
125438	flagellated	motile2+ⓘ	no	92.50	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Microbacterium bovistercoris sp. nov., a novel actinomycete isolated from cow dung.	Ling L, Zhao J, Li X, Zhang X, Jiang H, Guo X, Wang X, Xiang W	Int J Syst Evol Microbiol	10.1099/ijsem.0.003511	2019
Phylogeny	Microbacterium agarici sp. nov., Microbacterium humi sp. nov. and Microbacterium pseudoresistens sp. nov., isolated from the base of the mushroom Agaricus blazei.	Young CC, Busse HJ, Langer S, Chu JN, Schumann P, Arun AB, Shen FT, Rekha PD, Kampfer P	Int J Syst Evol Microbiol	10.1099/ijs.0.014092-0	2009

References

#16198	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 22185
#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 )
#25888	IJSEM 854 2010 ( DOI 10.1099/ijs.0.014092-0 , PubMed 19661494 )
#29488	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 #25888
#61574	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 58053
#67770	Japan Collection of Microorganism (JCM) ; Curators of the JCM;
#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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Microbacterium pseudoresistens (DSM 22185, CCM 7688, CCUG 58053)

Name and taxonomic classification

Morphology

Cell morphology

Colony morphology

Pigmentation

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Murein

Observation

Metabolite utilization

Enzymes

Isolation, sampling and environmental information

Isolation source categories

Isolation

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_013409745

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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