Niabella drilacis (CCUG 62505, DSM 25811, CCM 8410)

Name: Niabella drilacis (CCUG 62505, DSM 25811, CCM 8410)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 24735

Type strain

Strain Designation E90, E96

Culture col. no. CCUG 62505 DSM 25811 CCM 8410 LMG 26954 E90 2 more

NCBI tax ID(s) 1285928

Special Collections DSMZ CCUG Literature strains CIP

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Niabella drilacis E90 is an aerobe, mesophilic, Gram-negative prokaryote that was isolated from skin or bladder juvenile medicinal leech .

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

Name and taxonomic classification

SI-ID 379684

LMG 26954,DSM 25811,CCM 8410,CCUG 62505,CIP 110418

@ref 20215

Last LPSN update 2025-12-16 09:52:55

Domain Pseudomonadati

Phylum Bacteroidota

Class Chitinophagia

Order Chitinophagales

Family Chitinophagaceae

Genus Niabella

Species Niabella drilacis

Full scientific name Niabella drilacis Glaeser et al. 2013

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Confidence
31052	negative	1.25 µm	0.85 µm	rod-shaped
125438					91
125438	negative				93.559
125439	negative				95.3
118972	negative			rod-shaped

Colony morphology

@ref	Incubation period
21160	2-3 days
62853	2 days

Pigmentation

31052

Productionyes

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
21160	TRYPTONE SOYA BROTH (TSB) (DSMZ Medium 545)		Medium recipe at MediaDive	Name: TRYPTONE SOYA BROTH (TSB) (DSMZ Medium 545) Composition: Casein peptone 17.0 g/l NaCl 5.0 g/l Soy peptone 3.0 g/l D(+)-Glucose 2.5 g/l K2HPO4 2.5 g/l Distilled water
118972	CIP Medium 72		Medium recipe at CIP

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
21160	positive	growth	25	mesophilic
31052	positive	growth	15-30
62853	positive	growth	30	mesophilic

Culture pH

@ref	Ability	Type	PH	PH range
31052	positive	growth	4.5-10.5	alkaliphile

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance
31052	aerobe
62853	aerobe

Spore formation

@ref	Spore formation	Confidence
31052
125439		96.5

Halophily

@ref	Salt	Growth	Tested relation	Concentration
31052	NaCl	positive	growth	0-4 %

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
31052	22599 ChEBI	arabinose	+	carbon source
31052	17057 ChEBI	cellobiose	+	carbon source
31052	28757 ChEBI	fructose	+	carbon source
31052	28260 ChEBI	galactose	+	carbon source
31052	24996 ChEBI	lactate	+	carbon source
31052	17306 ChEBI	maltose	+	carbon source
31052	37684 ChEBI	mannose	+	carbon source
31052	28053 ChEBI	melibiose	+	carbon source
31052	506227 ChEBI	N-acetylglucosamine	+	carbon source
31052	15361 ChEBI	pyruvate	+	carbon source
31052	26546 ChEBI	rhamnose	+	carbon source
31052	15963 ChEBI	ribitol	+	carbon source
31052	33942 ChEBI	ribose	+	carbon source
31052	17814 ChEBI	salicin	+	carbon source
31052	17992 ChEBI	sucrose	+	carbon source

Enzymes

@ref	Value	Activity	Ec
31052	cytochrome oxidase	+	1.9.3.1

Pathway annotation

Computationally determined by

@ref	pathway	enzyme coverage	annotated reactions
66794	coenzyme A metabolism	100	4 of 4
66794	glycogen metabolism	100	5 of 5
66794	L-lactaldehyde degradation	100	3 of 3
66794	cis-vaccenate biosynthesis	100	2 of 2
66794	butanoate fermentation	100	4 of 4
66794	gluconeogenesis	100	8 of 8
66794	palmitate biosynthesis	100	22 of 22
66794	starch degradation	100	10 of 10
66794	formaldehyde oxidation	100	3 of 3
66794	sulfopterin metabolism	100	4 of 4
66794	adipate degradation	100	2 of 2
66794	anapleurotic synthesis of oxalacetate	100	1 of 1
66794	folate polyglutamylation	100	1 of 1
66794	suberin monomers biosynthesis	100	2 of 2
66794	UDP-GlcNAc biosynthesis	100	3 of 3
66794	denitrification	100	2 of 2
66794	CDP-diacylglycerol biosynthesis	100	2 of 2
66794	tetrahydrofolate metabolism	92.86	13 of 14
66794	threonine metabolism	90	9 of 10
66794	Entner Doudoroff pathway	90	9 of 10
66794	lipid A biosynthesis	88.89	8 of 9
66794	chorismate metabolism	88.89	8 of 9
66794	valine metabolism	88.89	8 of 9
66794	aspartate and asparagine metabolism	88.89	8 of 9
66794	NAD metabolism	88.89	16 of 18
66794	C4 and CAM-carbon fixation	87.5	7 of 8
66794	heme metabolism	85.71	12 of 14
66794	leucine metabolism	84.62	11 of 13
66794	pentose phosphate pathway	81.82	9 of 11
66794	metabolism of amino sugars and derivatives	80	4 of 5
66794	peptidoglycan biosynthesis	80	12 of 15
66794	cellulose degradation	80	4 of 5
66794	methylglyoxal degradation	80	4 of 5
66794	propionate fermentation	80	8 of 10
66794	gallate degradation	80	4 of 5
66794	degradation of pentoses	78.57	22 of 28
66794	photosynthesis	78.57	11 of 14
66794	d-mannose degradation	77.78	7 of 9
66794	degradation of hexoses	77.78	14 of 18
66794	lipid metabolism	77.42	24 of 31
66794	acetate fermentation	75	3 of 4
66794	6-hydroxymethyl-dihydropterin diphosphate biosynthesis	75	6 of 8
66794	glycogen biosynthesis	75	3 of 4
66794	ppGpp biosynthesis	75	3 of 4
66794	glutamate and glutamine metabolism	75	21 of 28
66794	isoleucine metabolism	75	6 of 8
66794	purine metabolism	73.4	69 of 94
66794	pyrimidine metabolism	73.33	33 of 45
66794	flavin biosynthesis	73.33	11 of 15
66794	citric acid cycle	71.43	10 of 14
66794	cardiolipin biosynthesis	71.43	5 of 7
66794	propanol degradation	71.43	5 of 7
66794	ubiquinone biosynthesis	71.43	5 of 7
66794	glycolysis	70.59	12 of 17
66794	alanine metabolism	68.97	20 of 29
66794	degradation of sugar acids	68	17 of 25
66794	octane oxidation	66.67	2 of 3
66794	serine metabolism	66.67	6 of 9
66794	cyanate degradation	66.67	2 of 3
66794	CO2 fixation in Crenarchaeota	66.67	6 of 9
66794	acetoin degradation	66.67	2 of 3
66794	isoprenoid biosynthesis	65.38	17 of 26
66794	lysine metabolism	64.29	27 of 42
66794	d-xylose degradation	63.64	7 of 11
66794	tryptophan metabolism	63.16	24 of 38
66794	degradation of sugar alcohols	62.5	10 of 16
66794	ketogluconate metabolism	62.5	5 of 8
66794	histidine metabolism	62.07	18 of 29
66794	phenylalanine metabolism	61.54	8 of 13
66794	cysteine metabolism	61.11	11 of 18
66794	non-pathway related	60.53	23 of 38
66794	vitamin K metabolism	60	3 of 5
66794	coenzyme M biosynthesis	60	6 of 10
66794	methionine metabolism	57.69	15 of 26
66794	tyrosine metabolism	57.14	8 of 14
66794	proline metabolism	54.55	6 of 11
66794	dTDPLrhamnose biosynthesis	50	4 of 8
66794	selenocysteine biosynthesis	50	3 of 6
66794	CMP-KDO biosynthesis	50	2 of 4
66794	1,4-dihydroxy-6-naphthoate biosynthesis	50	3 of 6
66794	kanosamine biosynthesis II	50	1 of 2
66794	glycolate and glyoxylate degradation	50	3 of 6
66794	glutathione metabolism	50	7 of 14
66794	ribulose monophosphate pathway	50	1 of 2
66794	cyclohexanol degradation	50	2 of 4
66794	ethanol fermentation	50	1 of 2
66794	4-hydroxyphenylacetate degradation	50	5 of 10
66794	degradation of aromatic, nitrogen containing compounds	50	6 of 12
66794	quinate degradation	50	1 of 2
66794	urea cycle	46.15	6 of 13
66794	arginine metabolism	45.83	11 of 24
66794	vitamin B6 metabolism	45.45	5 of 11
66794	phenol degradation	45	9 of 20
66794	daunorubicin biosynthesis	44.44	4 of 9
66794	androgen and estrogen metabolism	43.75	7 of 16
66794	oxidative phosphorylation	42.86	39 of 91
66794	reductive acetyl coenzyme A pathway	42.86	3 of 7
66794	ascorbate metabolism	40.91	9 of 22
66794	lipoate biosynthesis	40	2 of 5
66794	arachidonate biosynthesis	40	2 of 5
66794	myo-inositol biosynthesis	40	4 of 10
66794	bacilysin biosynthesis	40	2 of 5
66794	glycine metabolism	40	4 of 10
66794	3-chlorocatechol degradation	40	2 of 5
66794	polyamine pathway	39.13	9 of 23
66794	vitamin B1 metabolism	38.46	5 of 13
66794	dolichyl-diphosphooligosaccharide biosynthesis	36.36	4 of 11
66794	metabolism of disaccharids	36.36	4 of 11
66794	molybdenum cofactor biosynthesis	33.33	3 of 9
66794	acetyl CoA biosynthesis	33.33	1 of 3
66794	IAA biosynthesis	33.33	1 of 3
66794	3-phenylpropionate degradation	33.33	5 of 15
66794	pantothenate biosynthesis	33.33	2 of 6
66794	4-hydroxymandelate degradation	33.33	3 of 9
66794	sphingosine metabolism	33.33	2 of 6
66794	(5R)-carbapenem carboxylate biosynthesis	33.33	1 of 3
66794	arachidonic acid metabolism	33.33	6 of 18
66794	sulfate reduction	30.77	4 of 13
66794	phenylpropanoid biosynthesis	30.77	4 of 13
66794	biotin biosynthesis	25	1 of 4
66794	toluene degradation	25	1 of 4
66794	lactate fermentation	25	1 of 4
66794	carnitine metabolism	25	2 of 8
66794	phosphatidylethanolamine bioynthesis	23.08	3 of 13
66794	allantoin degradation	22.22	2 of 9
66794	vitamin B12 metabolism	20.59	7 of 34

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host	#Invertebrates (Other)	#Annelida
#Host Body-Site	#Urogenital tract	#Bladder
#Host Body-Site	#Organ	#Skin, Nail, Hair

Isolation

@ref	Sample type	Host species	Geographic location	Country	Country ISO 3 Code	Continent	Isolation date
21160	skin or bladder juvenile medicinal leech (Hirudo verbana)	Hirudo verbana	Hessen, Biebertal	Germany	DEU	Europe
62853	Surface,juvenile leech		Biebertal (Hessen)	Germany	DEU	Europe
118972	Animal, Surface of a juvenile leech		Biebertal, Hessen	Germany	DEU	Europe	2009

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
21160	1	Risk group (German classification)
118972	1	Risk group (French classification)

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	IMG-taxon 2619619035 annotated assembly for Niabella drilacis DSM 25811	scaffold	GCA_900101395	1285928.3	2619619035	1285928	63.36

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
21160	Niabella drilacis strain E90 16S ribosomal RNA gene, partial sequence	KC307772	1366		1285928

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Niabella drilacis DSM 25811
NCBI: GCA_900101395

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	facultative aerobe	63.50	no
125439	gram_stain	BacteriaNetⓘ	negative	95.30	no
125439	motility	BacteriaNetⓘ	no	63.70	no
125439	spore_formation	BacteriaNetⓘ	no	96.50	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Niabella drilacis DSM 25811
NCBI: GCA_900101395.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	93.56	yes
125438	anaerobic	anaerobicⓘ	no	96.60	yes
125438	aerobic	aerobicⓘ	yes	85.80	yes
125438	spore-forming	spore-formingⓘ	no	88.52	no
125438	thermophilic	thermophileⓘ	no	98.89	yes
125438	flagellated	motile2+ⓘ	no	91.00	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Niabella aquatica sp. nov., isolated from lake water.	Siddiqi MZ, Im WT	Int J Syst Evol Microbiol	10.1099/ijsem.0.001053	2016
Phylogeny	Niabella hirudinis and Niabella drilacis sp. nov., isolated from the medicinal leech Hirudo verbana.	Glaeser SP, Galatis H, Martin K, Kampfer P	Int J Syst Evol Microbiol	10.1099/ijs.0.050823-0	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 )
#21160	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 25811
#27382	IJSEM 3487 2013 ( DOI 10.1099/ijs.0.050823-0 , PubMed 23543503 )
#31052	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 #27382
#62853	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 62505
#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 )
#118972	Collection of Institut Pasteur ; Curators of the CIP; CIP 110418
#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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Niabella drilacis (CCUG 62505, DSM 25811, CCM 8410)

Name and taxonomic classification

Morphology

Cell morphology

Colony morphology

Pigmentation

Culture and growth conditions

Culture medium

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

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_900101395

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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