Pricia antarctica (DSM 23421, JCM 17291, ZS1-8)

Name: Pricia antarctica (DSM 23421, JCM 17291, ZS1-8)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 5745

Type strain

Strain Designation ZS1-8

Culture col. no. DSM 23421 JCM 17291 ZS1-8

NCBI tax ID(s) 641691

Special Collections DSMZ JCM Literature strains

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Pricia antarctica ZS1-8 is an aerobe, psychrophilic, Gram-negative prokaryote that was isolated from sandy intertidal sediment.

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

Name and taxonomic classification

SI-ID 399020

JCM 17291,DSM 23421

@ref 20215

Last LPSN update 2025-12-16 09:48:08

Domain Pseudomonadati

Phylum Bacteroidota

Class Flavobacteriia

Order Flavobacteriales

Family Flavobacteriaceae

Genus Pricia

Species Pricia antarctica

Full scientific name Pricia antarctica Yu et al. 2012

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape
30502	negative	0.75 µm	0.6 µm	rod-shaped
125438
125438	negative
125439	negative

Pigmentation

30502

Productionyes

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
17198	BACTO MARINE BROTH (DIFCO 2216) (DSMZ Medium 514)		Medium recipe at MediaDive	Name: BACTO MARINE BROTH (DIFCO 2216) (DSMZ Medium 514) Composition: NaCl 19.45 g/l MgCl2 5.9 g/l Bacto peptone 5.0 g/l Na2SO4 3.24 g/l CaCl2 1.8 g/l Yeast extract 1.0 g/l KCl 0.55 g/l NaHCO3 0.16 g/l Fe(III) citrate 0.1 g/l KBr 0.08 g/l SrCl2 0.034 g/l H3BO3 0.022 g/l Na2HPO4 0.008 g/l Na-silicate 0.004 g/l NaF 0.0024 g/l (NH4)NO3 0.0016 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
17198	positive	growth	20	psychrophilic
30502	positive	growth	0-25
30502	positive	optimum	18	psychrophilic
67770	positive	growth	20	psychrophilic

Culture pH

@ref	Ability	Type	PH
30502	positive	optimum	7.75
30502	positive	growth	6-9.5

Physiology and metabolism

Oxygen tolerance

30502

Oxygen toleranceaerobe

Spore formation

@ref	Spore formation
30502
125439

Halophily

@ref	Salt	Growth	Tested relation	Concentration
30502	NaCl	positive	growth	0.5-6 %
30502	NaCl	positive	optimum	2.5 %

Observation

67770

Observationquinones: MK-6

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
30502	30089 ChEBI	acetate	+	carbon source
30502	16947 ChEBI	citrate	+	carbon source
30502	28260 ChEBI	galactose	+	carbon source

Enzymes

@ref	Value	Activity	Ec
30502	alkaline phosphatase	+	3.1.3.1
30502	catalase	+	1.11.1.6
30502	cytochrome oxidase	+	1.9.3.1

Pathway annotation

Computationally determined by

@ref	pathway	enzyme coverage	annotated reactions
66794	methylglyoxal degradation	100	5 of 5
66794	threonine metabolism	100	10 of 10
66794	kanosamine biosynthesis II	100	2 of 2
66794	glycogen metabolism	100	5 of 5
66794	cis-vaccenate biosynthesis	100	2 of 2
66794	cardiolipin biosynthesis	100	7 of 7
66794	adipate degradation	100	2 of 2
66794	CMP-KDO biosynthesis	100	4 of 4
66794	palmitate biosynthesis	100	22 of 22
66794	L-lactaldehyde degradation	100	3 of 3
66794	quinate degradation	100	2 of 2
66794	biotin biosynthesis	100	4 of 4
66794	starch degradation	100	10 of 10
66794	vitamin K metabolism	100	5 of 5
66794	gluconeogenesis	100	8 of 8
66794	denitrification	100	2 of 2
66794	UDP-GlcNAc biosynthesis	100	3 of 3
66794	teichoic acid biosynthesis	100	1 of 1
66794	sulfopterin metabolism	100	4 of 4
66794	anapleurotic synthesis of oxalacetate	100	1 of 1
66794	CDP-diacylglycerol biosynthesis	100	2 of 2
66794	coenzyme A metabolism	100	4 of 4
66794	folate polyglutamylation	100	1 of 1
66794	suberin monomers biosynthesis	100	2 of 2
66794	phenylalanine metabolism	92.31	12 of 13
66794	pentose phosphate pathway	90.91	10 of 11
66794	Entner Doudoroff pathway	90	9 of 10
66794	serine metabolism	88.89	8 of 9
66794	chorismate 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	photosynthesis	85.71	12 of 14
66794	reductive acetyl coenzyme A pathway	85.71	6 of 7
66794	tetrahydrofolate metabolism	85.71	12 of 14
66794	glutamate and glutamine metabolism	82.14	23 of 28
66794	proline metabolism	81.82	9 of 11
66794	cellulose degradation	80	4 of 5
66794	peptidoglycan biosynthesis	80	12 of 15
66794	heme metabolism	78.57	11 of 14
66794	valine metabolism	77.78	7 of 9
66794	d-mannose degradation	77.78	7 of 9
66794	lipid A biosynthesis	77.78	7 of 9
66794	molybdenum cofactor biosynthesis	77.78	7 of 9
66794	aspartate and asparagine metabolism	77.78	7 of 9
66794	lipid metabolism	77.42	24 of 31
66794	leucine metabolism	76.92	10 of 13
66794	degradation of sugar acids	76	19 of 25
66794	ketogluconate metabolism	75	6 of 8
66794	butanoate fermentation	75	3 of 4
66794	isoleucine metabolism	75	6 of 8
66794	acetate fermentation	75	3 of 4
66794	glycogen biosynthesis	75	3 of 4
66794	dTDPLrhamnose biosynthesis	75	6 of 8
66794	ppGpp biosynthesis	75	3 of 4
66794	purine metabolism	74.47	70 of 94
66794	lysine metabolism	71.43	30 of 42
66794	propanol degradation	71.43	5 of 7
66794	tyrosine metabolism	71.43	10 of 14
66794	citric acid cycle	71.43	10 of 14
66794	tryptophan metabolism	71.05	27 of 38
66794	glycolysis	70.59	12 of 17
66794	propionate fermentation	70	7 of 10
66794	histidine metabolism	68.97	20 of 29
66794	octane oxidation	66.67	2 of 3
66794	formaldehyde oxidation	66.67	2 of 3
66794	acetyl CoA biosynthesis	66.67	2 of 3
66794	acetoin degradation	66.67	2 of 3
66794	flavin biosynthesis	66.67	10 of 15
66794	CO2 fixation in Crenarchaeota	66.67	6 of 9
66794	pyrimidine metabolism	66.67	30 of 45
66794	glutathione metabolism	64.29	9 of 14
66794	degradation of pentoses	64.29	18 of 28
66794	d-xylose degradation	63.64	7 of 11
66794	non-pathway related	63.16	24 of 38
66794	6-hydroxymethyl-dihydropterin diphosphate biosynthesis	62.5	5 of 8
66794	degradation of sugar alcohols	62.5	10 of 16
66794	arginine metabolism	62.5	15 of 24
66794	alanine metabolism	62.07	18 of 29
66794	urea cycle	61.54	8 of 13
66794	methionine metabolism	61.54	16 of 26
66794	degradation of hexoses	61.11	11 of 18
66794	arachidonate biosynthesis	60	3 of 5
66794	gallate degradation	60	3 of 5
66794	metabolism of amino sugars and derivatives	60	3 of 5
66794	myo-inositol biosynthesis	60	6 of 10
66794	ubiquinone biosynthesis	57.14	4 of 7
66794	cysteine metabolism	55.56	10 of 18
66794	carotenoid biosynthesis	54.55	12 of 22
66794	metabolism of disaccharids	54.55	6 of 11
66794	grixazone biosynthesis	50	1 of 2
66794	glycolate and glyoxylate degradation	50	3 of 6
66794	ribulose monophosphate pathway	50	1 of 2
66794	lactate fermentation	50	2 of 4
66794	ethanol fermentation	50	1 of 2
66794	dolichol and dolichyl phosphate biosynthesis	50	1 of 2
66794	cyclohexanol degradation	50	2 of 4
66794	resorcinol degradation	50	1 of 2
66794	glycine metabolism	50	5 of 10
66794	selenocysteine biosynthesis	50	3 of 6
66794	isoprenoid biosynthesis	50	13 of 26
66794	phenylmercury acetate degradation	50	1 of 2
66794	degradation of aromatic, nitrogen containing compounds	50	6 of 12
66794	phenylpropanoid biosynthesis	46.15	6 of 13
66794	sulfate reduction	46.15	6 of 13
66794	vitamin B6 metabolism	45.45	5 of 11
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	42.86	39 of 91
66794	3-chlorocatechol degradation	40	2 of 5
66794	lipoate biosynthesis	40	2 of 5
66794	polyamine pathway	39.13	9 of 23
66794	carnitine metabolism	37.5	3 of 8
66794	androgen and estrogen metabolism	37.5	6 of 16
66794	phenol degradation	35	7 of 20
66794	IAA biosynthesis	33.33	1 of 3
66794	sulfoquinovose degradation	33.33	1 of 3
66794	nitrate assimilation	33.33	3 of 9
66794	enterobactin biosynthesis	33.33	1 of 3
66794	cyanate degradation	33.33	1 of 3
66794	3-phenylpropionate degradation	33.33	5 of 15
66794	(5R)-carbapenem carboxylate biosynthesis	33.33	1 of 3
66794	allantoin degradation	33.33	3 of 9
66794	sphingosine metabolism	33.33	2 of 6
66794	pantothenate biosynthesis	33.33	2 of 6
66794	vitamin B1 metabolism	30.77	4 of 13
66794	coenzyme M biosynthesis	30	3 of 10
66794	benzoyl-CoA degradation	28.57	2 of 7
66794	arachidonic acid metabolism	27.78	5 of 18
66794	dolichyl-diphosphooligosaccharide biosynthesis	27.27	3 of 11
66794	toluene degradation	25	1 of 4
66794	catecholamine biosynthesis	25	1 of 4
66794	phosphatidylethanolamine bioynthesis	23.08	3 of 13

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Aquatic	#Sediment
#Environmental	#Terrestrial	#Tidal flat
#Environmental	#Terrestrial	#Sandy

Isolation

@ref	Sample type	Geographic location	Continent	Latitude	Longitude
17198	sandy intertidal sediment	Larsemann Hills of Princess Elizabeth Land, Chinese Antarctic Zhongshan Station (69° 22' 22" S 76° 22' 34" E)	Australia and Oceania	-69.3728	76.3761 -69.3728/76.3761
67770	Sandy intertidal sediment on the coast near the Chinese Antarctic Zhongshan Station in eastern Antarctica

Taxonmaps

69479

Global distribution of 16S sequence FJ889677 (>99% sequence identity) for Pricia antarctica subclade from Microbeatlas

Aquatic Samples	1428
Soil Samples	196
Animal Samples	104
Plant Samples	5
Total Samples	1733

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
17198	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	IMG-taxon 2684622891 annotated assembly for Pricia antarctica DSM 23421	scaffold	GCA_900101815	641691.3	2684622891	641691	68.77

Genome browser: GCA_900101815

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
17198	Pricia antarctica strain ZS1-8 16S ribosomal RNA gene, partial sequence	FJ889677	1493		641691

GC content

@ref	GC-content (mol%)	Method
17198	43.9	high performance liquid chromatography (HPLC)
30502	43.9

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Pricia antarctica DSM 23421
NCBI: GCA_900101815

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	98.30	no
125439	motility	BacteriaNetⓘ	no	81.30	no
125439	gram_stain	BacteriaNetⓘ	negative	99.40	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	86.20	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Pricia antarctica strain DSM 23421
PATRIC: 641691.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	97.50	yes
125438	anaerobic	anaerobicⓘ	no	97.83	yes
125438	aerobic	aerobicⓘ	yes	87.72	yes
125438	spore-forming	spore-formingⓘ	no	87.50	yes
125438	thermophilic	thermophileⓘ	no	97.47	yes
125438	flagellated	motile2+ⓘ	no	93.50	yes

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Pricia antarctica gen. nov., sp. nov., a member of the family Flavobacteriaceae, isolated from Antarctic intertidal sediment.	Yu Y, Li HR, Zeng YX, Sun K, Chen B	Int J Syst Evol Microbiol	10.1099/ijs.0.037515-0	2011

References

#17198	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 23421
#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 )
#30502	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 #26835 (see below)
#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 )
#67770	Japan Collection of Microorganism (JCM) ; Curators of the JCM;
#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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Pricia antarctica (DSM 23421, JCM 17291, ZS1-8)

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

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_900101815

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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