Microlunatus sagamiharensis (DSM 21743, NBRC 104965, KY 13154)

Name: Microlunatus sagamiharensis (DSM 21743, NBRC 104965, KY 13154)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 12619

Type strain

Strain Designation FB2, S20_27

Culture col. no. DSM 21743 NBRC 104965 KY 13154 FB2 S20_27

NCBI tax ID(s) 546874

Special Collections DSMZ Literature strains

History DSMZ <- K. Iwai, BioFrontier Laboratories, Kyowa Hakko Kogyo Co., Ltd.; S20_27

Links

Microlunatus sagamiharensis FB2 is an aerobe, coccus-shaped bacterium that was isolated from web of the spider Agelena silvatica.

coccus-shaped aerobe genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 403191

NBRC 104965,DSM 21743

@ref 20215

Last LPSN update 2026-05-29 08:27:50

Domain Bacteria

Phylum Actinomycetota

Class Actinomycetes

Order Propionibacteriales

Family Propionibacteriaceae

Genus Microlunatus

Species Microlunatus sagamiharensis

Full scientific name Microlunatus sagamiharensis (Iwai et al. 2010) Nouioui et al. 2018

Synonyms (1)

Friedmanniella sagamiharensis

Morphology

Cell morphology

@ref	Cell width	Cell shape	Motility	Confidence
29168	0.85 µm	coccus-shaped
125438				92

Pigmentation

29168

Productionyes

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
15909	PLATE COUNT AGAR (DSMZ Medium 464)		Medium recipe at MediaDive	Name: PLATE COUNT AGAR (DSMZ Medium 464) Composition: Agar 15.0 g/l Tryptone 5.0 g/l Yeast extract 2.5 g/l Dextrose 1.0 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
15909	positive	growth	25-28
29168	positive	growth	18-32
29168	positive	optimum	26.5

Culture pH

@ref	Ability	Type	PH	PH range
29168	positive	optimum	7.35
29168	positive	growth	05-09	alkaliphile

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
29168	aerobe
125439	obligate aerobe	98.7

Spore formation

@ref	Spore formation	Confidence
125439		90.43

Halophily

@ref	Salt	Growth	Tested relation	Concentration
29168	NaCl	positive	growth	0-6 %

Observation

29168

Observationaggregates in clumps

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
29168	22599 ChEBI	arabinose	+	carbon source
29168	28757 ChEBI	fructose	+	carbon source
29168	28260 ChEBI	galactose	+	carbon source
29168	17234 ChEBI	glucose	+	carbon source
29168	29864 ChEBI	mannitol	+	carbon source
29168	17268 ChEBI	myo-inositol	+	carbon source
29168	16634 ChEBI	raffinose	+	carbon source
29168	26546 ChEBI	rhamnose	+	carbon source
29168	33942 ChEBI	ribose	+	carbon source
29168	17992 ChEBI	sucrose	+	carbon source
29168	18222 ChEBI	xylose	+	carbon source

Enzymes

@ref	Value	Activity	Ec
29168	gelatinase	+
29168	urease	+	3.5.1.5

Pathway annotation

Computationally determined by

@ref	pathway	enzyme coverage	annotated reactions
66794	cellulose degradation	100	5 of 5
66794	CDP-diacylglycerol biosynthesis	100	2 of 2
66794	teichoic acid biosynthesis	100	1 of 1
66794	cis-vaccenate biosynthesis	100	2 of 2
66794	ppGpp biosynthesis	100	4 of 4
66794	formaldehyde oxidation	100	3 of 3
66794	ribulose monophosphate pathway	100	2 of 2
66794	reductive acetyl coenzyme A pathway	100	7 of 7
66794	pentose phosphate pathway	100	11 of 11
66794	kanosamine biosynthesis II	100	2 of 2
66794	adipate degradation	100	2 of 2
66794	starch degradation	100	10 of 10
66794	UDP-GlcNAc biosynthesis	100	3 of 3
66794	butanoate fermentation	100	4 of 4
66794	anapleurotic synthesis of oxalacetate	100	1 of 1
66794	methylglyoxal degradation	100	5 of 5
66794	palmitate biosynthesis	100	22 of 22
66794	folate polyglutamylation	100	1 of 1
66794	taurine degradation	100	1 of 1
66794	suberin monomers biosynthesis	100	2 of 2
66794	threonine metabolism	90	9 of 10
66794	Entner Doudoroff pathway	90	9 of 10
66794	chorismate metabolism	88.89	8 of 9
66794	CO2 fixation in Crenarchaeota	88.89	8 of 9
66794	serine metabolism	88.89	8 of 9
66794	aspartate and asparagine metabolism	88.89	8 of 9
66794	ketogluconate metabolism	87.5	7 of 8
66794	heme metabolism	85.71	12 of 14
66794	vitamin B12 metabolism	85.29	29 of 34
66794	glycolate and glyoxylate degradation	83.33	5 of 6
66794	glycolysis	82.35	14 of 17
66794	glutamate and glutamine metabolism	82.14	23 of 28
66794	metabolism of disaccharids	81.82	9 of 11
66794	proline metabolism	81.82	9 of 11
66794	factor 420 biosynthesis	80	4 of 5
66794	glycogen metabolism	80	4 of 5
66794	ethylmalonyl-CoA pathway	80	4 of 5
66794	3-chlorocatechol degradation	80	4 of 5
66794	propionate fermentation	80	8 of 10
66794	purine metabolism	78.72	74 of 94
66794	photosynthesis	78.57	11 of 14
66794	citric acid cycle	78.57	11 of 14
66794	glutathione metabolism	78.57	11 of 14
66794	molybdenum cofactor biosynthesis	77.78	7 of 9
66794	valine metabolism	77.78	7 of 9
66794	d-mannose degradation	77.78	7 of 9
66794	degradation of sugar alcohols	75	12 of 16
66794	glycogen biosynthesis	75	3 of 4
66794	degradation of pentoses	75	21 of 28
66794	acetate fermentation	75	3 of 4
66794	dTDPLrhamnose biosynthesis	75	6 of 8
66794	sulfopterin metabolism	75	3 of 4
66794	isoleucine metabolism	75	6 of 8
66794	CMP-KDO biosynthesis	75	3 of 4
66794	peptidoglycan biosynthesis	73.33	11 of 15
66794	d-xylose degradation	72.73	8 of 11
66794	vitamin B6 metabolism	72.73	8 of 11
66794	degradation of hexoses	72.22	13 of 18
66794	degradation of sugar acids	72	18 of 25
66794	propanol degradation	71.43	5 of 7
66794	cardiolipin biosynthesis	71.43	5 of 7
66794	myo-inositol biosynthesis	70	7 of 10
66794	phenylalanine metabolism	69.23	9 of 13
66794	oxidative phosphorylation	69.23	63 of 91
66794	leucine metabolism	69.23	9 of 13
66794	vitamin B1 metabolism	69.23	9 of 13
66794	pyrimidine metabolism	68.89	31 of 45
66794	acetyl CoA biosynthesis	66.67	2 of 3
66794	methane metabolism	66.67	2 of 3
66794	cyanate degradation	66.67	2 of 3
66794	allantoin degradation	66.67	6 of 9
66794	arginine metabolism	66.67	16 of 24
66794	octane oxidation	66.67	2 of 3
66794	acetoin degradation	66.67	2 of 3
66794	L-lactaldehyde degradation	66.67	2 of 3
66794	NAD metabolism	66.67	12 of 18
66794	selenocysteine biosynthesis	66.67	4 of 6
66794	non-pathway related	65.79	25 of 38
66794	lipid metabolism	64.52	20 of 31
66794	6-hydroxymethyl-dihydropterin diphosphate biosynthesis	62.5	5 of 8
66794	C4 and CAM-carbon fixation	62.5	5 of 8
66794	gluconeogenesis	62.5	5 of 8
66794	alanine metabolism	62.07	18 of 29
66794	urea cycle	61.54	8 of 13
66794	cysteine metabolism	61.11	11 of 18
66794	tryptophan metabolism	60.53	23 of 38
66794	lipoate biosynthesis	60	3 of 5
66794	flavin biosynthesis	60	9 of 15
66794	phenylacetate degradation (aerobic)	60	3 of 5
66794	vitamin K metabolism	60	3 of 5
66794	carotenoid biosynthesis	59.09	13 of 22
66794	bile acid biosynthesis, neutral pathway	58.82	10 of 17
66794	degradation of aromatic, nitrogen containing compounds	58.33	7 of 12
66794	isoprenoid biosynthesis	57.69	15 of 26
66794	tetrahydrofolate metabolism	57.14	8 of 14
66794	lysine metabolism	57.14	24 of 42
66794	ubiquinone biosynthesis	57.14	4 of 7
66794	histidine metabolism	55.17	16 of 29
66794	ascorbate metabolism	54.55	12 of 22
66794	methionine metabolism	53.85	14 of 26
66794	sulfate reduction	53.85	7 of 13
66794	aminopropanol phosphate biosynthesis	50	1 of 2
66794	ethanol fermentation	50	1 of 2
66794	pantothenate biosynthesis	50	3 of 6
66794	4-hydroxyphenylacetate degradation	50	5 of 10
66794	coenzyme A metabolism	50	2 of 4
66794	phenylmercury acetate degradation	50	1 of 2
66794	quinate degradation	50	1 of 2
66794	mannosylglycerate biosynthesis	50	1 of 2
66794	cyclohexanol degradation	50	2 of 4
66794	nitrate assimilation	44.44	4 of 9
66794	lipid A biosynthesis	44.44	4 of 9
66794	arachidonic acid metabolism	44.44	8 of 18
66794	benzoyl-CoA degradation	42.86	3 of 7
66794	phenol degradation	40	8 of 20
66794	3-phenylpropionate degradation	40	6 of 15
66794	glycine betaine biosynthesis	40	2 of 5
66794	arachidonate biosynthesis	40	2 of 5
66794	gallate degradation	40	2 of 5
66794	metabolism of amino sugars and derivatives	40	2 of 5
66794	tyrosine metabolism	35.71	5 of 14
66794	polyamine pathway	34.78	8 of 23
66794	IAA biosynthesis	33.33	1 of 3
66794	sulfoquinovose degradation	33.33	1 of 3
66794	(5R)-carbapenem carboxylate biosynthesis	33.33	1 of 3
66794	enterobactin biosynthesis	33.33	1 of 3
66794	sphingosine metabolism	33.33	2 of 6
66794	androgen and estrogen metabolism	31.25	5 of 16
66794	phenylpropanoid biosynthesis	30.77	4 of 13
66794	phosphatidylethanolamine bioynthesis	30.77	4 of 13
66794	coenzyme M biosynthesis	30	3 of 10
66794	glycine metabolism	30	3 of 10
66794	aclacinomycin biosynthesis	28.57	2 of 7
66794	chlorophyll metabolism	27.78	5 of 18
66794	dolichyl-diphosphooligosaccharide biosynthesis	27.27	3 of 11
66794	methanogenesis from CO2	25	3 of 12
66794	biotin biosynthesis	25	1 of 4
66794	lactate fermentation	25	1 of 4
66794	carnitine metabolism	25	2 of 8
66794	toluene degradation	25	1 of 4
66794	4-hydroxymandelate degradation	22.22	2 of 9

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host	#Arthropoda	#Insecta
#Host Body Product	#Fluids	-

Isolation

@ref	Sample type	Host species	Geographic location	Country	Country ISO 3 Code	Continent
15909	web of the spider Agelena silvatica	Agelena silvatica	Kanagawa Prefecture	Japan	JPN	Asia

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
15909	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
66792	IMG-taxon 2634166345 annotated assembly for Microlunatus sagamiharensis DSM 21743	chromosome	GCA_900105785	546874.3	2634166345	546874	84.69

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
15909	Friedmanniella sagamiharensis gene for 16S rRNA, partial sequence	AB445456	1495		546874

GC content

15909

GC-content (mol%)75

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: IMG-taxon 2634166345 annotated assembly for Microlunatus sagamiharensis DSM 21743
NCBI: GCA_900105785

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	98.70	no
125439	gram_stain	BacteriaNetⓘ	positive	89.66	no
125439	spore_formation	BacteriaNetⓘ	no	90.43	no
125439	motility	BacteriaNetⓘ	no	68.05	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Friedmanniella sagamiharensis strain DSM 21743
PATRIC: 546874.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	85.94	no
125438	anaerobic	anaerobicⓘ	no	96.06	yes
125438	spore-forming	spore-formingⓘ	no	62.32	no
125438	aerobic	aerobicⓘ	yes	89.22	yes
125438	thermophilic	thermophileⓘ	no	95.50	yes
125438	flagellated	motile2+ⓘ	no	92.00	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Genetics	Genome-Based Taxonomic Classification of the Phylum Actinobacteria.	Nouioui I, Carro L, Garcia-Lopez M, Meier-Kolthoff JP, Woyke T, Kyrpides NC, Pukall R, Klenk HP, Goodfellow M, Goker M.	Front Microbiol	10.3389/fmicb.2018.02007	2018
Biotechnology	A Novel Actinobacterial Cutinase Containing a Noncatalytic Polymer-Binding Domain.	Abokitse K, Grosse S, Leisch H, Corbeil CR, Perrin-Sarazin F, Lau PCK.	Appl Environ Microbiol	10.1128/aem.01522-21	2022
Phylogeny	Friedmanniella luteola sp. nov., Friedmanniella lucida sp. nov., Friedmanniella okinawensis sp. nov. and Friedmaniella sagamiharensis sp. nov., isolated from spiders.	Iwai K, Aisaka K, Suzuki M	Int J Syst Evol Microbiol	10.1099/ijs.0.007815-0	2009

References

#15909	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 21743
#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 )
#25592	IJSEM 113 2010 ( DOI 10.1099/ijs.0.007815-0 , PubMed 19648329 )
#29168	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 #25592
#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) .
#66794	Antje Chang, Lisa Jeske, Sandra Ulbrich, Julia Hofmann, Julia Koblitz, Ida Schomburg, Meina Neumann-Schaal, Dieter Jahn, Dietmar Schomburg: BRENDA, the ELIXIR core data resource in 2021: new developments and updates. Nucleic Acids Res. 49: D498 - D508 2020 ( DOI 10.1093/nar/gkaa1025 , PubMed 33211880 )
#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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Microlunatus sagamiharensis (DSM 21743, NBRC 104965, KY 13154)

Name and taxonomic classification

Morphology

Cell morphology

Pigmentation

Culture and growth conditions

Culture medium

Culture temp

Culture pH

Physiology and metabolism

Oxygen tolerance

Spore formation

Halophily

Observation

Metabolite utilization

Enzymes

Pathway annotation

Isolation, sampling and environmental information

Isolation source categories

Isolation

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_900105785

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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