Flagellimonas lutaonensis (BCRC 17850, KCTC 22339, CC-HSB-11)

Name: Flagellimonas lutaonensis (BCRC 17850, KCTC 22339, CC-HSB-11)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 133488

Type strain

Strain Designation CC-HSB-11

Culture col. no. BCRC 17850 KCTC 22339 CC-HSB-11

NCBI tax ID(s) 516051

Special Collections KCTC Literature strains

Links

Flagellimonas lutaonensis CC-HSB-11 is an aerobe, Gram-negative, rod-shaped prokaryote that was isolated from hot spring.

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

Name and taxonomic classification

SI-ID 28049

BCRC 17850,KCTC 22339

@ref 20215

Last LPSN update 2025-12-16 10:01:48

Domain Pseudomonadati

Phylum Bacteroidota

Class Flavobacteriia

Order Flavobacteriales

Family Flavobacteriaceae

Genus Flagellimonas

Species Flagellimonas lutaonensis

Full scientific name Flagellimonas lutaonensis (Arun et al. 2009) Molinari Novoa et al. 2024

Synonyms (2)

Muricauda lutaonensis
Allomuricauda lutaonensis

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Confidence
29174	negative	11.5 µm	0.4 µm	rod-shaped
125438					92.917
125438	negative				98.5
125439	negative				99.6

Pigmentation

29174

Productionyes

Culture and growth conditions

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
29174	positive	growth	25-55
29174	positive	optimum	41	thermophilic

Culture pH

@ref	Ability	Type	PH	PH range
29174	positive	optimum	8
29174	positive	growth	06-09	alkaliphile

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
29174	aerobe
125439	obligate aerobe	90.1

Spore formation

@ref	Spore formation	Confidence
29174
125438		91.806
125439		97.9

Halophily

@ref	Salt	Growth	Tested relation	Concentration
29174	NaCl	positive	growth	02-06 %
29174	NaCl	positive	optimum	4 %

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
29174	30089 ChEBI	acetate	+	carbon source
29174	17057 ChEBI	cellobiose	+	carbon source
29174	23652 ChEBI	dextrin	+	carbon source
29174	4853 ChEBI	esculin	+	hydrolysis
29174	28757 ChEBI	fructose	+	carbon source
29174	17234 ChEBI	glucose	+	carbon source
29174	29987 ChEBI	glutamate	+	carbon source
29174	17596 ChEBI	inosine	+	carbon source
29174	17716 ChEBI	lactose	+	carbon source
29174	17306 ChEBI	maltose	+	carbon source
29174	37684 ChEBI	mannose	+	carbon source
29174	28053 ChEBI	melibiose	+	carbon source
29174	51850 ChEBI	methyl pyruvate	+	carbon source
29174	26271 ChEBI	proline	+	carbon source
29174	16634 ChEBI	raffinose	+	carbon source
29174	30031 ChEBI	succinate	+	carbon source
29174	17992 ChEBI	sucrose	+	carbon source
29174	26986 ChEBI	threonine	+	carbon source
29174	27082 ChEBI	trehalose	+	carbon source

Enzymes

@ref	Value	Activity	Ec
29174	acid phosphatase	+	3.1.3.2
29174	alpha-galactosidase	+	3.2.1.22
29174	catalase	+	1.11.1.6
29174	cytochrome oxidase	+	1.9.3.1

Pathway annotation

Computationally determined by

@ref	pathway	enzyme coverage	annotated reactions
66794	quinate degradation	100	2 of 2
66794	octane oxidation	100	3 of 3
66794	CMP-KDO biosynthesis	100	4 of 4
66794	cis-vaccenate biosynthesis	100	2 of 2
66794	threonine metabolism	100	10 of 10
66794	biotin biosynthesis	100	4 of 4
66794	palmitate biosynthesis	100	22 of 22
66794	adipate degradation	100	2 of 2
66794	methylglyoxal degradation	100	5 of 5
66794	kanosamine biosynthesis II	100	2 of 2
66794	suberin monomers biosynthesis	100	2 of 2
66794	anapleurotic synthesis of oxalacetate	100	1 of 1
66794	folate polyglutamylation	100	1 of 1
66794	UDP-GlcNAc biosynthesis	100	3 of 3
66794	CDP-diacylglycerol biosynthesis	100	2 of 2
66794	sulfopterin metabolism	100	4 of 4
66794	coenzyme A metabolism	100	4 of 4
66794	vitamin K metabolism	100	5 of 5
66794	molybdenum cofactor biosynthesis	88.89	8 of 9
66794	serine metabolism	88.89	8 of 9
66794	lipid A biosynthesis	88.89	8 of 9
66794	gluconeogenesis	87.5	7 of 8
66794	propanol degradation	85.71	6 of 7
66794	tetrahydrofolate metabolism	85.71	12 of 14
66794	starch degradation	80	8 of 10
66794	3-chlorocatechol degradation	80	4 of 5
66794	glycogen metabolism	80	4 of 5
66794	peptidoglycan biosynthesis	80	12 of 15
66794	Entner Doudoroff pathway	80	8 of 10
66794	cellulose degradation	80	4 of 5
66794	photosynthesis	78.57	11 of 14
66794	heme metabolism	78.57	11 of 14
66794	chorismate metabolism	77.78	7 of 9
66794	pyrimidine metabolism	77.78	35 of 45
66794	purine metabolism	77.66	73 of 94
66794	phenylalanine metabolism	76.92	10 of 13
66794	ppGpp biosynthesis	75	3 of 4
66794	glycogen biosynthesis	75	3 of 4
66794	C4 and CAM-carbon fixation	75	6 of 8
66794	ketogluconate metabolism	75	6 of 8
66794	acetate fermentation	75	3 of 4
66794	pentose phosphate pathway	72.73	8 of 11
66794	metabolism of disaccharids	72.73	8 of 11
66794	cardiolipin biosynthesis	71.43	5 of 7
66794	ubiquinone biosynthesis	71.43	5 of 7
66794	glutamate and glutamine metabolism	71.43	20 of 28
66794	tyrosine metabolism	71.43	10 of 14
66794	glycolysis	70.59	12 of 17
66794	leucine metabolism	69.23	9 of 13
66794	alanine metabolism	68.97	20 of 29
66794	tryptophan metabolism	68.42	26 of 38
66794	CO2 fixation in Crenarchaeota	66.67	6 of 9
66794	valine metabolism	66.67	6 of 9
66794	d-mannose degradation	66.67	6 of 9
66794	cyanate degradation	66.67	2 of 3
66794	formaldehyde oxidation	66.67	2 of 3
66794	NAD metabolism	66.67	12 of 18
66794	L-lactaldehyde degradation	66.67	2 of 3
66794	enterobactin biosynthesis	66.67	2 of 3
66794	flavin biosynthesis	66.67	10 of 15
66794	acetoin degradation	66.67	2 of 3
66794	methionine metabolism	65.38	17 of 26
66794	lysine metabolism	64.29	27 of 42
66794	non-pathway related	63.16	24 of 38
66794	6-hydroxymethyl-dihydropterin diphosphate biosynthesis	62.5	5 of 8
66794	arginine metabolism	62.5	15 of 24
66794	isoleucine metabolism	62.5	5 of 8
66794	propionate fermentation	60	6 of 10
66794	degradation of aromatic, nitrogen containing compounds	58.33	7 of 12
66794	lipid metabolism	58.06	18 of 31
66794	glutathione metabolism	57.14	8 of 14
66794	citric acid cycle	57.14	8 of 14
66794	reductive acetyl coenzyme A pathway	57.14	4 of 7
66794	degradation of sugar alcohols	56.25	9 of 16
66794	cysteine metabolism	55.56	10 of 18
66794	aspartate and asparagine metabolism	55.56	5 of 9
66794	histidine metabolism	55.17	16 of 29
66794	proline metabolism	54.55	6 of 11
66794	glycolate and glyoxylate degradation	50	3 of 6
66794	cyclohexanol degradation	50	2 of 4
66794	ethanol fermentation	50	1 of 2
66794	pantothenate biosynthesis	50	3 of 6
66794	dTDPLrhamnose biosynthesis	50	4 of 8
66794	glycine metabolism	50	5 of 10
66794	phenylmercury acetate degradation	50	1 of 2
66794	butanoate fermentation	50	2 of 4
66794	isoprenoid biosynthesis	50	13 of 26
66794	degradation of pentoses	46.43	13 of 28
66794	sulfate reduction	46.15	6 of 13
66794	urea cycle	46.15	6 of 13
66794	carotenoid biosynthesis	45.45	10 of 22
66794	ascorbate metabolism	45.45	10 of 22
66794	4-hydroxymandelate degradation	44.44	4 of 9
66794	mevalonate metabolism	42.86	3 of 7
66794	oxidative phosphorylation	41.76	38 of 91
66794	arachidonate biosynthesis	40	2 of 5
66794	lipoate biosynthesis	40	2 of 5
66794	degradation of sugar acids	40	10 of 25
66794	myo-inositol biosynthesis	40	4 of 10
66794	bacilysin biosynthesis	40	2 of 5
66794	metabolism of amino sugars and derivatives	40	2 of 5
66794	vitamin B6 metabolism	36.36	4 of 11
66794	d-xylose degradation	36.36	4 of 11
66794	IAA biosynthesis	33.33	1 of 3
66794	selenocysteine biosynthesis	33.33	2 of 6
66794	(5R)-carbapenem carboxylate biosynthesis	33.33	1 of 3
66794	nitrate assimilation	33.33	3 of 9
66794	acetyl CoA biosynthesis	33.33	1 of 3
66794	androgen and estrogen metabolism	31.25	5 of 16
66794	vitamin B1 metabolism	30.77	4 of 13
66794	coenzyme M biosynthesis	30	3 of 10
66794	arachidonic acid metabolism	27.78	5 of 18
66794	degradation of hexoses	27.78	5 of 18
66794	cholesterol biosynthesis	27.27	3 of 11
66794	3-phenylpropionate degradation	26.67	4 of 15
66794	polyamine pathway	26.09	6 of 23
66794	carnitine metabolism	25	2 of 8
66794	toluene degradation	25	1 of 4
66794	lactate fermentation	25	1 of 4
66794	catecholamine biosynthesis	25	1 of 4
66794	phenylpropanoid biosynthesis	23.08	3 of 13

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Aquatic	#Thermal spring
#Condition	#Thermophilic (>45°C)	-

Isolation

29174

Sample typehot spring

Taxonmaps

69479

Global distribution of 16S sequence EU564844 (>99% sequence identity) for Muricauda lutaonensis subclade from Microbeatlas

Aquatic Samples	1441
Soil Samples	81
Animal Samples	243
Plant Samples	4
Total Samples	1769

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM96386v1 assembly for Flagellimonas lutaonensis CC-HSB-11	complete	GCA_000963865	516051.11	2630968620	516051	99.47

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
29174	Muricauda lutaonensis strain CC-HSB-11 16S ribosomal RNA gene, partial sequence	EU564844	1438		516051

GC content

29174

GC-content (mol%)46.4

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Muricauda lutaonensis strain CC-HSB-11
PATRIC: 516051.11

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	97.90	no
125439	motility	BacteriaNetⓘ	no	78.80	no
125439	gram_stain	BacteriaNetⓘ	negative	99.60	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	90.10	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Muricauda lutaonensis CC-HSB-11
NCBI: GCA_000963865.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	98.50	yes
125438	anaerobic	anaerobicⓘ	no	95.14	yes
125438	aerobic	aerobicⓘ	yes	86.41	no
125438	spore-forming	spore-formingⓘ	no	91.81	no
125438	thermophilic	thermophileⓘ	no	98.03	no
125438	flagellated	motile2+ⓘ	no	92.92	yes

Literature

Topic	Title	Authors	Journal	DOI	Year
Genetics	Complete genome of a coastal marine bacterium Muricauda lutaonensis KCTC 22339(T).	Oh J, Choe H, Kim BK, Kim KM	Mar Genomics	10.1016/j.margen.2015.05.002	2015
	Supercritical carbon dioxide micronization of zeaxanthin from moderately thermophilic bacteria Muricauda lutaonensis CC-HSB-11T.	Hameed A, Arun AB, Ho HP, Chang CM, Rekha PD, Lee MR, Singh S, Young CC	J Agric Food Chem	10.1021/jf200444q	2011
Phylogeny	Muricauda ochracea sp. nov., isolated from a tidal flat in the Republic of Korea.	Kim D, Yoo Y, Khim JS, Yang D, Pathiraja D, Choi IG, Kim JJ	Int J Syst Evol Microbiol	10.1099/ijsem.0.004312	2020
Phylogeny	Muricauda lutaonensis sp. nov., a moderate thermophile isolated from a coastal hot spring.	Arun AB, Chen WM, Lai WA, Chao JH, Rekha PD, Shen FT, Singh S, Young CC	Int J Syst Evol Microbiol	10.1099/ijs.0.007930-0	2009

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 )
#29174	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 #25598 (see below)
#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 )
#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 .
#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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Flagellimonas lutaonensis (BCRC 17850, KCTC 22339, CC-HSB-11)

Name and taxonomic classification

Morphology

Cell morphology

Pigmentation

Culture and growth conditions

Culture temp

Culture pH

Physiology and metabolism

Oxygen tolerance

Spore formation

Halophily

Metabolite utilization

Enzymes

Pathway annotation

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_000963865

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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