Weissella halotolerans (CCUG 33457, LMG 9469, DSM 20190)

Name: Weissella halotolerans (CCUG 33457, LMG 9469, DSM 20190)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 6845

Type strain

Strain Designation G1

Culture col. no. CCUG 33457 LMG 9469 DSM 20190 ATCC 35410 G1 8 more

NCBI tax ID(s) 1123500 1615

Special Collections DSMZ CCUG JCM CIP

History <- G. Reuter, G1 DSM 20190 <-- G. Reuter 61 ("Lactobacillus viridescens subsp. halotolerans"). CIP <- 1987, DSM, Lactobacillus halotolerans <- G. Reuter: strain R61, Lactobacillus viridescens subsp. halotolerans

Links

Weissella halotolerans G1 is an anaerobe, Gram-positive, rod-shaped bacterium that was isolated from sausage.

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

Name and taxonomic classification

SI-ID 3302

LMG 9469,ATCC 35410,DSM 20190,CCUG 33457,CIP 103005,JCM 1114,CCRC 14050,CECT 573,NCIMB 702781,NCFB2781,KCTC 3595,BCRC 14050,CGMCC 1.2440,VTT E-98965

@ref 20215

Last LPSN update 2026-02-09 11:19:20

Domain Bacteria

Phylum Bacillota

Class Bacilli

Order Lactobacillales

Family Lactobacillaceae

Genus Weissella

Species Weissella halotolerans

Full scientific name Weissella halotolerans (Kandler et al. 1983 ex Reuter 1970) Collins et al. 1994

Synonyms (2)

Lactobacillus halotolerans
"Lactobacillus viridescens subsp. halotolerans"

Morphology

Cell morphology

@ref	Gram stain	Cell shape	Confidence
119830	positive	rod-shaped
125438			94.5
125438	positive		95.641

Culture and growth conditions

Culture medium

@ref	Name	Medium link	Composition
8465	MRS MEDIUM (DSMZ Medium 11)	Medium recipe at MediaDive	Name: MRS MEDIUM (DSMZ Medium 11) Composition: Glucose 20.0 g/l Casein peptone 10.0 g/l Meat extract 10.0 g/l Na-acetate 5.0 g/l Yeast extract 5.0 g/l (NH4)3 citrate 2.0 g/l K2HPO4 2.0 g/l Tween 80 1.0 g/l MgSO4 x 7 H2O 0.2 g/l MnSO4 x H2O 0.05 g/l Distilled water
34911	MEDIUM 40- for Lactobacillus and Leuconostoc		Distilled water make up to (1000.000 ml);Man Rogosa Sharp agar (68.000 g)
119830	CIP Medium 40	Medium recipe at CIP

Culture temp

@ref	Growth	Type	Temperature (°C)
8465	positive	growth	30
34911	positive	growth	30
51531	positive	growth	30
67770	positive	growth	37
119830	positive	growth	15-37
119830	negative	growth	10
119830	negative	growth	45

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
51531	anaerobe
51531	microaerophile
119830	facultative anaerobe
125439	facultative anaerobe	93

Halophily

@ref	Salt	Growth	Tested relation	Concentration
119830	NaCl	positive	growth	0-10 %

Murein

@ref	Murein short key	Type
8465	A11.13	A3alpha L-Lys-L-Ala-L-Ser

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
68371	27613 ChEBI	amygdalin	-	builds acid from	from API 50CH acid
68371	18305 ChEBI	arbutin	-	builds acid from	from API 50CH acid
68371	17057 ChEBI	cellobiose	-	builds acid from	from API 50CH acid
68371	17108 ChEBI	D-arabinose	-	builds acid from	from API 50CH acid
68371	18333 ChEBI	D-arabitol	-	builds acid from	from API 50CH acid
68371	15824 ChEBI	D-fructose	+	builds acid from	from API 50CH acid
68371	28847 ChEBI	D-fucose	-	builds acid from	from API 50CH acid
68371	12936 ChEBI	D-galactose	-	builds acid from	from API 50CH acid
68371	17634 ChEBI	D-glucose	+	builds acid from	from API 50CH acid
68371	62318 ChEBI	D-lyxose	-	builds acid from	from API 50CH acid
68371	16024 ChEBI	D-mannose	+	builds acid from	from API 50CH acid
68371	16988 ChEBI	D-ribose	+	builds acid from	from API 50CH acid
68371	17924 ChEBI	D-sorbitol	-	builds acid from	from API 50CH acid
68371	16443 ChEBI	D-tagatose	-	builds acid from	from API 50CH acid
68371	65327 ChEBI	D-xylose	-	builds acid from	from API 50CH acid
68371	17113 ChEBI	erythritol	-	builds acid from	from API 50CH acid
68371	4853 ChEBI	esculin	-	builds acid from	from API 50CH acid
68371	16813 ChEBI	galactitol	-	builds acid from	from API 50CH acid
68371	28066 ChEBI	gentiobiose	-	builds acid from	from API 50CH acid
68371	24265 ChEBI	gluconate	+	builds acid from	from API 50CH acid
68371	17754 ChEBI	glycerol	-	builds acid from	from API 50CH acid
68371	28087 ChEBI	glycogen	-	builds acid from	from API 50CH acid
68371	15443 ChEBI	inulin	-	builds acid from	from API 50CH acid
68371	30849 ChEBI	L-arabinose	-	builds acid from	from API 50CH acid
68371	18403 ChEBI	L-arabitol	-	builds acid from	from API 50CH acid
68371	18287 ChEBI	L-fucose	-	builds acid from	from API 50CH acid
68371	62345 ChEBI	L-rhamnose	-	builds acid from	from API 50CH acid
68371	17266 ChEBI	L-sorbose	-	builds acid from	from API 50CH acid
68371	65328 ChEBI	L-xylose	-	builds acid from	from API 50CH acid
68371	17716 ChEBI	lactose	-	builds acid from	from API 50CH acid
68371	17306 ChEBI	maltose	+	builds acid from	from API 50CH acid
68371	6731 ChEBI	melezitose	-	builds acid from	from API 50CH acid
68371	28053 ChEBI	melibiose	-	builds acid from	from API 50CH acid
68371	320061 ChEBI	methyl alpha-D-glucopyranoside	+	builds acid from	from API 50CH acid
68371	43943 ChEBI	methyl alpha-D-mannoside	-	builds acid from	from API 50CH acid
68371	74863 ChEBI	methyl beta-D-xylopyranoside	-	builds acid from	from API 50CH acid
68371	17268 ChEBI	myo-inositol	-	builds acid from	from API 50CH acid
68371	59640 ChEBI	N-acetylglucosamine	+	builds acid from	from API 50CH acid
119830	17632 ChEBI	nitrate	-	reduction
119830	17632 ChEBI	nitrate	+	respiration
119830	16301 ChEBI	nitrite	-	reduction
68371		Potassium 2-ketogluconate	+	builds acid from	from API 50CH acid
68371		Potassium 5-ketogluconate	-	builds acid from	from API 50CH acid
68371	16634 ChEBI	raffinose	-	builds acid from	from API 50CH acid
68371	15963 ChEBI	ribitol	-	builds acid from	from API 50CH acid
68371	17814 ChEBI	salicin	-	builds acid from	from API 50CH acid
68371	28017 ChEBI	starch	-	builds acid from	from API 50CH acid
68371	17992 ChEBI	sucrose	-	builds acid from	from API 50CH acid
68371	27082 ChEBI	trehalose	+	builds acid from	from API 50CH acid
68371	32528 ChEBI	turanose	-	builds acid from	from API 50CH acid
68371	17151 ChEBI	xylitol	-	builds acid from	from API 50CH acid

Antibiotic resistance

@ref	Metabolite	Is sensitive	Is resistant
119830	0129 (2,4-Diamino-6,7-di-iso-propylpteridine phosphate)

Metabolite production

@ref	Metabolite	Production
119830	polysaccharides

Metabolite tests

@ref	Chebi-ID	Metabolite	Voges-proskauer-test
119830	15688 ChEBI	acetoin	-

Enzymes

@ref	Value	Activity	Ec
68382	acid phosphatase	+	3.1.3.2	from API zym
119830	alcohol dehydrogenase	-	1.1.1.1
68382	alkaline phosphatase	-	3.1.3.1	from API zym
68382	alpha-chymotrypsin	-	3.4.21.1	from API zym
68382	alpha-fucosidase	-	3.2.1.51	from API zym
68382	alpha-galactosidase	-	3.2.1.22	from API zym
68382	alpha-glucosidase	+	3.2.1.20	from API zym
68382	alpha-mannosidase	-	3.2.1.24	from API zym
68382	beta-galactosidase	-	3.2.1.23	from API zym
68382	beta-glucosidase	+	3.2.1.21	from API zym
68382	beta-glucuronidase	+	3.2.1.31	from API zym
119830	caseinase	-	3.4.21.50
119830	catalase	-	1.11.1.6
68382	cystine arylamidase	-	3.4.11.3	from API zym
68382	esterase (C 4)	+		from API zym
68382	esterase lipase (C 8)	+		from API zym
119830	gelatinase	-
68382	leucine arylamidase	-	3.4.11.1	from API zym
68382	lipase (C 14)	-		from API zym
119830	lysine decarboxylase	-	4.1.1.18
68382	N-acetyl-beta-glucosaminidase	-	3.2.1.52	from API zym
68382	naphthol-AS-BI-phosphohydrolase	+		from API zym
119830	ornithine decarboxylase	-	4.1.1.17
119830	oxidase	-
68382	trypsin	-	3.4.21.4	from API zym
68382	valine arylamidase	-		from API zym

Pathway annotation

Computationally determined by

@ref	pathway	enzyme coverage	annotated reactions
66794	acetate fermentation	100	4 of 4
66794	cis-vaccenate biosynthesis	100	2 of 2
66794	ribulose monophosphate pathway	100	2 of 2
66794	vitamin K metabolism	100	5 of 5
66794	coenzyme A metabolism	100	4 of 4
66794	teichoic acid biosynthesis	100	1 of 1
66794	CDP-diacylglycerol biosynthesis	100	2 of 2
66794	UDP-GlcNAc biosynthesis	100	3 of 3
66794	ppGpp biosynthesis	100	4 of 4
66794	anapleurotic synthesis of oxalacetate	100	1 of 1
66794	folate polyglutamylation	100	1 of 1
66794	peptidoglycan biosynthesis	93.33	14 of 15
66794	palmitate biosynthesis	90.91	20 of 22
66794	chorismate metabolism	88.89	8 of 9
66794	pentose phosphate pathway	81.82	9 of 11
66794	pyrimidine metabolism	77.78	35 of 45
66794	purine metabolism	73.4	69 of 94
66794	NAD metabolism	72.22	13 of 18
66794	phenylalanine metabolism	69.23	9 of 13
66794	cyanate degradation	66.67	2 of 3
66794	aspartate and asparagine metabolism	66.67	6 of 9
66794	acetoin degradation	66.67	2 of 3
66794	formaldehyde oxidation	66.67	2 of 3
66794	photosynthesis	64.29	9 of 14
66794	ketogluconate metabolism	62.5	5 of 8
66794	degradation of sugar alcohols	62.5	10 of 16
66794	vitamin B1 metabolism	61.54	8 of 13
66794	methylglyoxal degradation	60	3 of 5
66794	glycogen metabolism	60	3 of 5
66794	cellulose degradation	60	3 of 5
66794	glycolysis	58.82	10 of 17
66794	propanol degradation	57.14	4 of 7
66794	serine metabolism	55.56	5 of 9
66794	valine metabolism	55.56	5 of 9
66794	CO2 fixation in Crenarchaeota	55.56	5 of 9
66794	6-hydroxymethyl-dihydropterin diphosphate biosynthesis	50	4 of 8
66794	phenylmercury acetate degradation	50	1 of 2
66794	ethanol fermentation	50	1 of 2
66794	CMP-KDO biosynthesis	50	2 of 4
66794	adipate degradation	50	1 of 2
66794	sulfopterin metabolism	50	2 of 4
66794	butanoate fermentation	50	2 of 4
66794	oxidative phosphorylation	49.45	45 of 91
66794	non-pathway related	47.37	18 of 38
66794	methionine metabolism	46.15	12 of 26
66794	d-mannose degradation	44.44	4 of 9
66794	reductive acetyl coenzyme A pathway	42.86	3 of 7
66794	tetrahydrofolate metabolism	42.86	6 of 14
66794	mevalonate metabolism	42.86	3 of 7
66794	cardiolipin biosynthesis	42.86	3 of 7
66794	degradation of aromatic, nitrogen containing compounds	41.67	5 of 12
66794	metabolism of amino sugars and derivatives	40	2 of 5
66794	arachidonate biosynthesis	40	2 of 5
66794	Entner Doudoroff pathway	40	4 of 10
66794	3-chlorocatechol degradation	40	2 of 5
66794	lipoate biosynthesis	40	2 of 5
66794	degradation of pentoses	39.29	11 of 28
66794	glutamate and glutamine metabolism	39.29	11 of 28
66794	isoprenoid biosynthesis	38.46	10 of 26
66794	C4 and CAM-carbon fixation	37.5	3 of 8
66794	isoleucine metabolism	37.5	3 of 8
66794	tryptophan metabolism	34.21	13 of 38
66794	lipid A biosynthesis	33.33	3 of 9
66794	degradation of hexoses	33.33	6 of 18
66794	glycolate and glyoxylate degradation	33.33	2 of 6
66794	acetyl CoA biosynthesis	33.33	1 of 3
66794	octane oxidation	33.33	1 of 3
66794	selenocysteine biosynthesis	33.33	2 of 6
66794	L-lactaldehyde degradation	33.33	1 of 3
66794	IAA biosynthesis	33.33	1 of 3
66794	enterobactin biosynthesis	33.33	1 of 3
66794	alanine metabolism	31.03	9 of 29
66794	leucine metabolism	30.77	4 of 13
66794	urea cycle	30.77	4 of 13
66794	starch degradation	30	3 of 10
66794	arginine metabolism	29.17	7 of 24
66794	cysteine metabolism	27.78	5 of 18
66794	metabolism of disaccharids	27.27	3 of 11
66794	d-xylose degradation	27.27	3 of 11
66794	vitamin B6 metabolism	27.27	3 of 11
66794	proline metabolism	27.27	3 of 11
66794	flavin biosynthesis	26.67	4 of 15
66794	cyclohexanol degradation	25	1 of 4
66794	lactate fermentation	25	1 of 4
66794	androgen and estrogen metabolism	25	4 of 16
66794	glycogen biosynthesis	25	1 of 4
66794	gluconeogenesis	25	2 of 8
66794	dTDPLrhamnose biosynthesis	25	2 of 8
66794	phenylpropanoid biosynthesis	23.08	3 of 13
66794	sulfate reduction	23.08	3 of 13
66794	ascorbate metabolism	22.73	5 of 22
66794	lipid metabolism	22.58	7 of 31
66794	glutathione metabolism	21.43	3 of 14
66794	tyrosine metabolism	21.43	3 of 14
66794	histidine metabolism	20.69	6 of 29

Fatty acid profile

Metadata FA analysis

@ref

51531

Fatty acid	Percentage	ECL
C16:0	32	16
C18:2 ω6,9c/C18:0 ANTE	26.1	17.724
C18:1 ω9c	13.8	17.769
C18:1 ω7c /12t/9t	11.3	17.824
C18:0	10.3	18
C16:1 ω7c	4	15.819
C14:0	2.6	14

API zym

@ref	Control	Alkaline phosphatase	Esterase (C 4)	2-naphtyl caprylateEsterase Lipase (C 8)	Lipase (C 14)	L-leucyl-2-naphthylamideLeucine arylamidase	L-valyl-2-naphthylamideValine arylamidase	L-cystyl-2-naphthylamideCystine arylamidase	Trypsin	alpha- Chymotrypsin	Acid phosphatase	Naphthol-AS-BI-phosphateNaphthol-AS-BI-phosphohydrolase	alpha- Galactosidase	beta- Galactosidase	beta- Glucuronidase	alpha- Glucosidase	beta- Glucosidase	N-acetyl-beta- glucosaminidase	alpha- Mannosidase	alpha- Fucosidase
119830	-	-	+	+	-	-	-	-	-	-	+	+	-	-	+	+	+	-	-	-

API 50CHac

@ref	ControlQ	GLY	ERY	DARA	LARA	RIB	DXYL	LXYL	ADO	MDX	GAL	GLU	FRU	MNE	SBE	RHA	DUL	INO	MAN	SOR	MDM	MDG	NAG	AMY	ARB	ESC	SAL	CEL	MAL	LAC	MEL	SAC	TRE	INU	MLZ	RAF	AMD	GLYG	XLT	GEN	TUR	LYX	TAG	DFUC	LFUC	DARL	LARL	GNT	2KG	5KG
119830	not determinedn.d.	-	-	-	-	+	-	-	-	-	-	+	+	+	-	-	-	-	+/-	-	-	+	+	-	-	-	-	-	+	-	-	-	+	-	-	-	-	-	-	-	-	-	-	-	-	-	-	+	+	-

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Engineered	#Food production	#Meat

Isolation

@ref	Sample type
8465	sausage
51531	Sausage
67770	Sausage meat
119830	Food, Sausage

Taxonmaps

69479

Global distribution of 16S sequence LC064886 (>99% sequence identity) for Weissella halotolerans subclade from Microbeatlas

Aquatic Samples	68
Soil Samples	78
Animal Samples	1224
Plant Samples	52
Total Samples	1422

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
8465	1	Risk group (German classification) According to TRBA 466
119830	1	Risk group (French 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	ASM42036v1 assembly for Weissella halotolerans DSM 20190	scaffold	GCA_000420365	1123500.3	2522572202	1123500	77.51
67770	ASM143686v1 assembly for Weissella halotolerans DSM 20190	scaffold	GCA_001436865	1123500.6	2690315969	1123500	73.37

16S sequences

@ref	Description	Accession	Length	NCBI tax ID
20218	Lactobacillus halotolerans gene for 16S ribosomal RNA, partial sequence	D31691	192	1615
20218	Weissella halotolerans gene for 16S rRNA, strain:NRIC 1627	AB022926	1480	1615
67770	Weissella halotolerans gene for 16S ribosomal RNA, partial sequence, strain: JCM 1114	LC064886	1474	1615
67770	L.halotolerans 16S small subunit ribosomal RNA	M23037	1529	1615

GC content

@ref	GC-content (mol%)
8465	44.8
67770	43.2

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Weissella halotolerans DSM 20190
NCBI: GCA_000420365

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	facultative anaerobe	93.00	no
125439	gram_stain	BacteriaNetⓘ	positive	89.70	no
125439	motility	BacteriaNetⓘ	yes	65.70	no
125439	spore_formation	BacteriaNetⓘ	yes	72.80	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Weissella halotolerans DSM 20190
PATRIC: 1123500.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	95.64	no
125438	anaerobic	anaerobicⓘ	no	83.67	no
125438	spore-forming	spore-formingⓘ	no	87.72	no
125438	aerobic	aerobicⓘ	no	93.09	no
125438	thermophilic	thermophileⓘ	no	95.90	yes
125438	flagellated	motile2+ⓘ	no	94.50	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Genetics	The controversial nature of the Weissella genus: technological and functional aspects versus whole genome analysis-based pathogenic potential for their application in food and health.	Abriouel H, Lerma LL, Casado Munoz Mdel C, Montoro BP, Kabisch J, Pichner R, Cho GS, Neve H, Fusco V, Franz CM, Galvez A, Benomar N.	Front Microbiol	10.3389/fmicb.2015.01197	2015
Genetics	Comparative genome analysis of Weissella ceti, an emerging pathogen of farm-raised rainbow trout.	Figueiredo HC, Soares SC, Pereira FL, Dorella FA, Carvalho AF, Teixeira JP, Azevedo VA, Leal CA.	BMC Genomics	10.1186/s12864-015-2324-4	2015
	Heme and menaquinone induced electron transport in lactic acid bacteria.	Brooijmans R, Smit B, Santos F, van Riel J, de Vos WM, Hugenholtz J.	Microb Cell Fact	10.1186/1475-2859-8-28	2009
	Profiling the gut structure and microbiota, and identifying two dominant bacteria belonging to the Weissella genus in mandarin fish (Siniperca chuatsi) fed an artificial diet.	Wang J, Hao Y, Zhang L, Gao X, Xu Y, Wang J, Hanafiah F, Khor W, Sun Y, Wu C.	Front Microbiol	10.3389/fmicb.2024.1486501	2024
Pathogenicity	Biological activities and structural properties of the atypical bacteriocins mesenterocin 52b and leucocin b-ta33a.	Corbier C, Krier F, Mulliert G, Vitoux B, Revol-Junelles AM.	Appl Environ Microbiol	10.1128/aem.67.4.1418-1422.2001	2001

References

#8465	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 20190
#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 )
#20218	Verslyppe, B., De Smet, W., De Baets, B., De Vos, P., Dawyndt P.: StrainInfo introduces electronic passports for microorganisms.. Syst Appl Microbiol. 37: 42 - 50 2014 ( DOI 10.1016/j.syapm.2013.11.002 , PubMed 24321274 )
#34911	; Curators of the CIP;
#51531	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 33457
#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;
#68371	Automatically annotated from API 50CH acid .
#68382	Automatically annotated from API zym .
#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 .
#119830	Collection of Institut Pasteur ; Curators of the CIP; CIP 103005
#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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Weissella halotolerans (CCUG 33457, LMG 9469, DSM 20190)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Halophily

Murein

Metabolite utilization

Antibiotic resistance

Metabolite production

Metabolite tests

Enzymes

Pathway annotation

Fatty acid profile

API zym

API 50CHac

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_000420365

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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