Liquorilactobacillus cacaonum (DSM 21116, LMG 24285, R-34119)

Name: Liquorilactobacillus cacaonum (DSM 21116, LMG 24285, R-34119)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 6681

Type strain

Strain Designation R-34119

Culture col. no. DSM 21116 LMG 24285 R-34119

NCBI tax ID(s) 1423729 483012

Special Collections DSMZ Literature strains

History <- K. De Bruyne and L. De Vuyst <- N. Camu, Vrije Univ. Brussels, Belgium; R-34119

Links

Liquorilactobacillus cacaonum R-34119 is a microaerophile, Gram-positive, rod-shaped bacterium that was isolated from cocoa bean heap fermentation.

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

Name and taxonomic classification

SI-ID 311015

LMG 24285,DSM 21116

@ref 20215

Last LPSN update 2026-02-09 11:19:17

Domain Bacteria

Phylum Bacillota

Class Bacilli

Order Lactobacillales

Family Lactobacillaceae

Genus Liquorilactobacillus

Species Liquorilactobacillus cacaonum

Full scientific name Liquorilactobacillus cacaonum (De Bruyne et al. 2009) Zheng et al. 2020

Synonyms (1)

Lactobacillus cacaonum

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Motility	Confidence
28904	positive	2.5 µm	0.9 µm	rod-shaped
125438	positive					90.891

Pigmentation

28904

Productionno

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
15487	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

Culture temp

@ref	Growth	Type	Temperature (°C)
15487	positive	growth	30
28904	positive	growth	10-37
28904	positive	optimum	23.5

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
15487	microaerophile
28904	facultative anaerobe
125439	facultative anaerobe	96.7

Observation

28904

Observationaggregates in chains

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
28904	17057 ChEBI	cellobiose	+	carbon source
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	16899 ChEBI	D-mannitol	-	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
28904	4853 ChEBI	esculin	+	hydrolysis
68371	4853 ChEBI	esculin	+	builds acid from	from API 50CH acid
28904	28757 ChEBI	fructose	+	carbon source
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
28904	17234 ChEBI	glucose	+	carbon source
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
28904	17306 ChEBI	maltose	+	carbon source
68371	17306 ChEBI	maltose	+	builds acid from	from API 50CH acid
28904	37684 ChEBI	mannose	+	carbon source
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
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
28904	17814 ChEBI	salicin	+	carbon source
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

Pathway annotation

Computationally determined by

@ref	pathway	enzyme coverage	annotated reactions
66794	ethanol fermentation	100	2 of 2
66794	ppGpp biosynthesis	100	4 of 4
66794	acetoin degradation	100	3 of 3
66794	vitamin K metabolism	100	5 of 5
66794	palmitate biosynthesis	100	22 of 22
66794	coenzyme A metabolism	100	4 of 4
66794	CDP-diacylglycerol biosynthesis	100	2 of 2
66794	acetate fermentation	100	4 of 4
66794	UDP-GlcNAc biosynthesis	100	3 of 3
66794	folate polyglutamylation	100	1 of 1
66794	suberin monomers biosynthesis	100	2 of 2
66794	ceramide biosynthesis	100	1 of 1
66794	anapleurotic synthesis of oxalacetate	100	1 of 1
66794	cis-vaccenate biosynthesis	100	2 of 2
66794	threonine metabolism	80	8 of 10
66794	peptidoglycan biosynthesis	80	12 of 15
66794	valine metabolism	77.78	7 of 9
66794	serine metabolism	77.78	7 of 9
66794	pyrimidine metabolism	77.78	35 of 45
66794	purine metabolism	77.66	73 of 94
66794	vitamin B1 metabolism	76.92	10 of 13
66794	dTDPLrhamnose biosynthesis	75	6 of 8
66794	pentose phosphate pathway	72.73	8 of 11
66794	glutamate and glutamine metabolism	71.43	20 of 28
66794	photosynthesis	71.43	10 of 14
66794	ubiquinone biosynthesis	71.43	5 of 7
66794	phenylalanine metabolism	69.23	9 of 13
66794	aspartate and asparagine metabolism	66.67	6 of 9
66794	formaldehyde oxidation	66.67	2 of 3
66794	cyanate degradation	66.67	2 of 3
66794	enterobactin biosynthesis	66.67	2 of 3
66794	L-lactaldehyde degradation	66.67	2 of 3
66794	glycolysis	64.71	11 of 17
66794	proline metabolism	63.64	7 of 11
66794	C4 and CAM-carbon fixation	62.5	5 of 8
66794	histidine metabolism	62.07	18 of 29
66794	NAD metabolism	61.11	11 of 18
66794	non-pathway related	60.53	23 of 38
66794	glycogen metabolism	60	3 of 5
66794	propanol degradation	57.14	4 of 7
66794	d-mannose degradation	55.56	5 of 9
66794	cysteine metabolism	55.56	10 of 18
66794	chorismate metabolism	55.56	5 of 9
66794	CO2 fixation in Crenarchaeota	55.56	5 of 9
66794	alanine metabolism	55.17	16 of 29
66794	leucine metabolism	53.85	7 of 13
66794	urea cycle	53.85	7 of 13
66794	degradation of hexoses	50	9 of 18
66794	arginine metabolism	50	12 of 24
66794	phenylmercury acetate degradation	50	1 of 2
66794	sulfopterin metabolism	50	2 of 4
66794	glycolate and glyoxylate degradation	50	3 of 6
66794	ribulose monophosphate pathway	50	1 of 2
66794	gluconeogenesis	50	4 of 8
66794	isoleucine metabolism	50	4 of 8
66794	butanoate fermentation	50	2 of 4
66794	degradation of aromatic, nitrogen containing compounds	50	6 of 12
66794	ketogluconate metabolism	50	4 of 8
66794	oxidative phosphorylation	49.45	45 of 91
66794	lysine metabolism	47.62	20 of 42
66794	isoprenoid biosynthesis	46.15	12 of 26
66794	methionine metabolism	46.15	12 of 26
66794	metabolism of disaccharids	45.45	5 of 11
66794	mevalonate metabolism	42.86	3 of 7
66794	citric acid cycle	42.86	6 of 14
66794	cardiolipin biosynthesis	42.86	3 of 7
66794	tetrahydrofolate metabolism	42.86	6 of 14
66794	reductive acetyl coenzyme A pathway	42.86	3 of 7
66794	ethylmalonyl-CoA pathway	40	2 of 5
66794	3-chlorocatechol degradation	40	2 of 5
66794	lipoate biosynthesis	40	2 of 5
66794	glycine metabolism	40	4 of 10
66794	propionate fermentation	40	4 of 10
66794	Entner Doudoroff pathway	40	4 of 10
66794	metabolism of amino sugars and derivatives	40	2 of 5
66794	arachidonate biosynthesis	40	2 of 5
66794	cellulose degradation	40	2 of 5
66794	phenol degradation	40	8 of 20
66794	methylglyoxal degradation	40	2 of 5
66794	tryptophan metabolism	39.47	15 of 38
66794	lipid metabolism	38.71	12 of 31
66794	6-hydroxymethyl-dihydropterin diphosphate biosynthesis	37.5	3 of 8
66794	vitamin B6 metabolism	36.36	4 of 11
66794	d-xylose degradation	36.36	4 of 11
66794	selenocysteine biosynthesis	33.33	2 of 6
66794	allantoin degradation	33.33	3 of 9
66794	IAA biosynthesis	33.33	1 of 3
66794	acetyl CoA biosynthesis	33.33	1 of 3
66794	flavin biosynthesis	33.33	5 of 15
66794	sphingosine metabolism	33.33	2 of 6
66794	octane oxidation	33.33	1 of 3
66794	lipid A biosynthesis	33.33	3 of 9
66794	degradation of pentoses	32.14	9 of 28
66794	myo-inositol biosynthesis	30	3 of 10
66794	starch degradation	30	3 of 10
66794	coenzyme M biosynthesis	30	3 of 10
66794	tyrosine metabolism	28.57	4 of 14
66794	glutathione metabolism	28.57	4 of 14
66794	toluene degradation	25	1 of 4
66794	degradation of sugar alcohols	25	4 of 16
66794	lactate fermentation	25	1 of 4
66794	cyclohexanol degradation	25	1 of 4
66794	carnitine metabolism	25	2 of 8
66794	glycogen biosynthesis	25	1 of 4
66794	phenylpropanoid biosynthesis	23.08	3 of 13
66794	ascorbate metabolism	22.73	5 of 22
66794	nitrate assimilation	22.22	2 of 9

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
15487	-	-	-	-	-	-	-	-	-	-	-	+	+	+	-	-	-	-	-	-	-	-	+	-	-	+	+	+	+	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Engineered	#Food production	-
#Host Body-Site	#Plant	#Fruit (Seed)

Isolation

@ref	Sample type	Country	Country ISO 3 Code	Continent
15487	cocoa bean heap fermentation	Ghana	GHA	Africa

Taxonmaps

69479

Global distribution of 16S sequence AM905389 (>99% sequence identity) for Liquorilactobacillus cacaonum from Microbeatlas

Aquatic Samples	11
Soil Samples	5
Animal Samples	358
Plant Samples	142
Total Samples	516

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
15487	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	ASM143673v1 assembly for Liquorilactobacillus cacaonum DSM 21116	scaffold	GCA_001436735	1423729.3	2700989124	1423729	73.63

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
15487	Lactobacillus cacaonum partial 16S rRNA gene, type strain LMG 24285T	AM905389	1527		483012

GC content

@ref	GC-content (mol%)
15487	34.5
28904	44.9

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Liquorilactobacillus cacaonum DSM 21116
NCBI: GCA_001436735

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	yes	73.80	no
125439	motility	BacteriaNetⓘ	yes	70.50	no
125439	gram_stain	BacteriaNetⓘ	positive	76.10	no
125439	oxygen_tolerance	BacteriaNetⓘ	facultative anaerobe	96.70	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Liquorilactobacillus cacaonum DSM 21116 DSM 21116
NCBI: GCA_001436735.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	90.89	no
125438	anaerobic	anaerobicⓘ	no	81.93	yes
125438	aerobic	aerobicⓘ	no	93.88	yes
125438	spore-forming	spore-formingⓘ	no	73.09	no
125438	thermophilic	thermophileⓘ	no	93.76	yes
125438	flagellated	motile2+ⓘ	yes	51.50	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	Benefits of Camelina sativa Supplementation in Morphine Treatment: Enhanced Analgesia, Delayed Tolerance and Reduced Gut Side Effects Through PPAR-alpha Receptor Engagement.	Lucarini E, Pagnotta E, Micheli L, Trisolini S, Matteo R, Righetti L, Martelli A, Testai L, Calderone V, Di Cesare Mannelli L, Ghelardini C.	Int J Mol Sci	10.3390/ijms26062519	2025
Enzymology	MALDI-TOF MS as a tool to identify foodborne yeasts and yeast-like fungi.	Quintilla R, Kolecka A, Casaregola S, Daniel HM, Houbraken J, Kostrzewa M, Boekhout T, Groenewald M.	Int J Food Microbiol	10.1016/j.ijfoodmicro.2017.11.016	2018
	Investigation on L-rhamnose metabolism of Loigolactobacillus coryniformis subsp. coryniformis DSM 20001 and its propionate-containing fermentates.	Elvan Gezer M, Gravlund Fonss K, Bambace MF, Marietou A, Sandberg Overby S, Sundekilde U, Schwab C.	Appl Environ Microbiol	10.1128/aem.01613-24	2025
	Anti-Obesity Effects of Multi-Strain Probiotics in Mice with High-Carbohydrate Diet-Induced Obesity and the Underlying Molecular Mechanisms.	Kim HR, Seo E, Oh S, Seo M, Byun K, Kim BY.	Nutrients	10.3390/nu14235173	2022
	Trametes hirsuta as an Attractive Biocatalyst for the Preparative Scale Biotransformation of Isosafrole into Piperonal.	Hernik D, Szczepanska E, Brenna E, Patejuk K, Olejniczak T, Strzala T, Boratynski F.	Molecules	10.3390/molecules28083643	2023
	Characterization of the Biological Activities of a New Polyphenol-Rich Extract from Cinnamon Bark on a Probiotic Consortium and Its Action after Enzymatic and Microbial Fermentation on Colorectal Cell Lines.	De Giani A, Pagliari S, Zampolli J, Forcella M, Fusi P, Bruni I, Campone L, Di Gennaro P.	Foods	10.3390/foods11203202	2022
	The Efficacy of Camelina sativa Defatted Seed Meal against Colitis-Induced Persistent Visceral Hypersensitivity: The Relevance of PPAR alpha Receptor Activation in Pain Relief.	Lucarini E, Micheli L, Pagnotta E, Toti A, Ferrara V, Ciampi C, Margiotta F, Martelli A, Testai L, Calderone V, Matteo R, Suriano S, Troccoli A, Pecchioni N, Manera C, Di Cesare Mannelli L, Ghelardini C.	Nutrients	10.3390/nu14153137	2022
Enzymology	Engineering fungal morphology for enhanced production of hydrolytic enzymes by Aspergillus oryzae SBS50 using microparticles.	Singh B.	3 Biotech	10.1007/s13205-018-1308-x	2018
Pathogenicity	Bioactivity of a family of chiral nonracemic aminobenzylnaphthols towards Candida albicans.	Capozzi MA, Cardellicchio C, Magaletti A, Bevilacqua A, Perricone M, Corbo MR.	Molecules	10.3390/molecules19045219	2014
Pathogenicity	Probiotics, Prebiotics, and Synbiotics in the Irritable Bowel Syndrome Treatment: A Review.	Chlebicz-Wojcik A, Slizewska K.	Biomolecules	10.3390/biom11081154	2021
	Modern morphological engineering techniques for improving productivity of filamentous fungi in submerged cultures.	Antecka A, Bizukojc M, Ledakowicz S.	World J Microbiol Biotechnol	10.1007/s11274-016-2148-7	2016
Enzymology	Metagenome-Assembled Genomes Contribute to Unraveling of the Microbiome of Cocoa Fermentation.	Almeida OGG, De Martinis ECP.	Appl Environ Microbiol	10.1128/aem.00584-21	2021
Genetics	A Combined Metagenomics and Metatranscriptomics Approach to Unravel Costa Rican Cocoa Box Fermentation Processes Reveals Yet Unreported Microbial Species and Functionalities.	Verce M, Schoonejans J, Hernandez Aguirre C, Molina-Bravo R, De Vuyst L, Weckx S.	Front Microbiol	10.3389/fmicb.2021.641185	2021
Genetics	Influence of Taxonomic and Functional Content of Microbial Communities on the Quality of Fermented Cocoa Pulp-Bean Mass.	Mota-Gutierrez J, Ferrocino I, Giordano M, Suarez-Quiroz ML, Gonzalez-Rios O, Cocolin L.	Appl Environ Microbiol	10.1128/aem.00425-21	2021
Phylogeny	Lactobacillus fabifermentans sp. nov. and Lactobacillus cacaonum sp. nov., isolated from Ghanaian cocoa fermentations.	De Bruyne K, Camu N, De Vuyst L, Vandamme P	Int J Syst Evol Microbiol	10.1099/ijs.0.001172-0	2009

References

#15487	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 21116
#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 )
#25343	IJSEM 7 2009 ( DOI 10.1099/ijs.0.001172-0 , PubMed 19126714 )
#28904	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 #25343
#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 )
#68371	Automatically annotated from API 50CH acid .
#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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Liquorilactobacillus cacaonum (DSM 21116, LMG 24285, R-34119)

Name and taxonomic classification

Morphology

Cell morphology

Pigmentation

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Observation

Metabolite utilization

Pathway annotation

API 50CHac

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_001436735

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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