Tetragenococcus halophilus subsp. halophilus (DSM 20338, IFO 12172, NBRC 12172)

Name: Tetragenococcus halophilus subsp. halophilus (DSM 20338, IFO 12172, NBRC 12172)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 5254

Type strain

Culture col. no. DSM 20338 IFO 12172 NBRC 12172 NCDO 1872 NCIB 9735 4 more

NCBI tax ID(s) 1513897

Special Collections DSMZ JCM

History DSMZ <- NCDO <- IFO <- T. Hasegawa (Pediococcus soyae) JCM <-- IAM 1693 <-- K. Sakaguchi d-6 ("Pediococcus soyae").

Links

Tetragenococcus halophilus subsp. halophilus DSM 20338 is a bacterium that was isolated from Soy sauce brewing mashes.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 1239

DSM 20338,NCDO 1872,NCIB 9735,NCIMB 9735,IAM1693,IFO12172,KCTC 3720,NBRC 12172,BCRC 12576,CCRC 12576,NCFB 1872,JCM 20259

@ref 20215

Last LPSN update 2026-05-29 08:26:07

Domain Bacteria

Phylum Bacillota

Class Bacilli

Order Lactobacillales

Family Enterococcaceae

Genus Tetragenococcus

Species Tetragenococcus halophilus subsp. halophilus

Full scientific name Tetragenococcus halophilus subsp. halophilus (Mees 1934) Justé et al. 2012

BacDive ID	Other strains from **Tetragenococcus halophilus subsp. halophilus** (4)	Type strain
5255	T. halophilus subsp. halophilus T11, DSM 20339, ATCC 33315, IAM 1676, LMG ... (type strain)
5253	T. halophilus subsp. halophilus dl 2, TVA 7-16, DSM 20337, JCM 20252, IAM ...
162786	T. halophilus subsp. halophilus JCM 2015
162820	T. halophilus subsp. halophilus JCM 20245, ATCC 13621, IAM 1673

Morphology

Cell morphology

@ref	Gram stain	Confidence
125438	positive	90.461

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
8729	PEDIOCOCCUS HALOPHILUS MEDIUM (DSMZ Medium 227)		Medium recipe at MediaDive	Name: PEDIOCOCCUS HALOPHILUS MEDIUM (DSMZ Medium 227) Composition: NaCl 65.0 g/l Glucose 20.0 g/l Meat extract 10.0 g/l Casein peptone 10.0 g/l Yeast extract 5.0 g/l Na-acetate 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)
8729	positive	growth	30
67770	positive	growth	30

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	facultative anaerobe	91.091

Murein

@ref	Murein short key	Type
8729	A11.31	A4alpha L-Lys-D-Asp

Pathway annotation

Computationally determined by

@ref	pathway	enzyme coverage	annotated reactions
66794	C4 and CAM-carbon fixation	100	8 of 8
66794	palmitate biosynthesis	100	22 of 22
66794	CDP-diacylglycerol biosynthesis	100	2 of 2
66794	UDP-GlcNAc biosynthesis	100	3 of 3
66794	coenzyme A metabolism	100	4 of 4
66794	acetate fermentation	100	4 of 4
66794	acetoin degradation	100	3 of 3
66794	aspartate and asparagine metabolism	100	9 of 9
66794	cis-vaccenate biosynthesis	100	2 of 2
66794	suberin monomers biosynthesis	100	2 of 2
66794	folate polyglutamylation	100	1 of 1
66794	anapleurotic synthesis of oxalacetate	100	1 of 1
66794	methylglyoxal degradation	100	5 of 5
66794	teichoic acid biosynthesis	100	1 of 1
66794	chorismate metabolism	88.89	8 of 9
66794	gluconeogenesis	87.5	7 of 8
66794	degradation of sugar alcohols	87.5	14 of 16
66794	peptidoglycan biosynthesis	86.67	13 of 15
66794	vitamin B1 metabolism	84.62	11 of 13
66794	pyrimidine metabolism	82.22	37 of 45
66794	pentose phosphate pathway	81.82	9 of 11
66794	glycine betaine biosynthesis	80	4 of 5
66794	threonine metabolism	80	8 of 10
66794	photosynthesis	78.57	11 of 14
66794	serine metabolism	77.78	7 of 9
66794	phenylalanine metabolism	76.92	10 of 13
66794	purine metabolism	75.53	71 of 94
66794	glycogen biosynthesis	75	3 of 4
66794	ketogluconate metabolism	75	6 of 8
66794	ppGpp biosynthesis	75	3 of 4
66794	alanine metabolism	72.41	21 of 29
66794	propanol degradation	71.43	5 of 7
66794	cardiolipin biosynthesis	71.43	5 of 7
66794	reductive acetyl coenzyme A pathway	71.43	5 of 7
66794	glutathione metabolism	71.43	10 of 14
66794	glycolysis	70.59	12 of 17
66794	starch degradation	70	7 of 10
66794	formaldehyde oxidation	66.67	2 of 3
66794	NAD metabolism	66.67	12 of 18
66794	octane oxidation	66.67	2 of 3
66794	selenocysteine biosynthesis	66.67	4 of 6
66794	valine metabolism	66.67	6 of 9
66794	L-lactaldehyde degradation	66.67	2 of 3
66794	sphingosine metabolism	66.67	4 of 6
66794	molybdenum cofactor biosynthesis	66.67	6 of 9
66794	proline metabolism	63.64	7 of 11
66794	non-pathway related	63.16	24 of 38
66794	isoleucine metabolism	62.5	5 of 8
66794	oxidative phosphorylation	61.54	56 of 91
66794	degradation of pentoses	60.71	17 of 28
66794	glutamate and glutamine metabolism	60.71	17 of 28
66794	glycogen metabolism	60	3 of 5
66794	metabolism of amino sugars and derivatives	60	3 of 5
66794	methionine metabolism	57.69	15 of 26
66794	ubiquinone biosynthesis	57.14	4 of 7
66794	d-mannose degradation	55.56	5 of 9
66794	metabolism of disaccharids	54.55	6 of 11
66794	isoprenoid biosynthesis	53.85	14 of 26
66794	cysteine metabolism	50	9 of 18
66794	6-hydroxymethyl-dihydropterin diphosphate biosynthesis	50	4 of 8
66794	Entner Doudoroff pathway	50	5 of 10
66794	CMP-KDO biosynthesis	50	2 of 4
66794	sulfopterin metabolism	50	2 of 4
66794	degradation of hexoses	50	9 of 18
66794	glycolate and glyoxylate degradation	50	3 of 6
66794	ethanol fermentation	50	1 of 2
66794	butanoate fermentation	50	2 of 4
66794	citric acid cycle	50	7 of 14
66794	adipate degradation	50	1 of 2
66794	degradation of aromatic, nitrogen containing compounds	50	6 of 12
66794	quinate degradation	50	1 of 2
66794	glycine metabolism	50	5 of 10
66794	lysine metabolism	47.62	20 of 42
66794	leucine metabolism	46.15	6 of 13
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	CO2 fixation in Crenarchaeota	44.44	4 of 9
66794	mevalonate metabolism	42.86	3 of 7
66794	arachidonate biosynthesis	40	2 of 5
66794	lipoate biosynthesis	40	2 of 5
66794	propionate fermentation	40	4 of 10
66794	cellulose degradation	40	2 of 5
66794	tryptophan metabolism	36.84	14 of 38
66794	d-xylose degradation	36.36	4 of 11
66794	tetrahydrofolate metabolism	35.71	5 of 14
66794	tyrosine metabolism	35.71	5 of 14
66794	lipid metabolism	35.48	11 of 31
66794	histidine metabolism	34.48	10 of 29
66794	acetyl CoA biosynthesis	33.33	1 of 3
66794	flavin biosynthesis	33.33	5 of 15
66794	cyanate degradation	33.33	1 of 3
66794	arachidonic acid metabolism	33.33	6 of 18
66794	lipid A biosynthesis	33.33	3 of 9
66794	IAA biosynthesis	33.33	1 of 3
66794	degradation of sugar acids	32	8 of 25
66794	ascorbate metabolism	31.82	7 of 22
66794	androgen and estrogen metabolism	31.25	5 of 16
66794	phenylpropanoid biosynthesis	30.77	4 of 13
66794	myo-inositol biosynthesis	30	3 of 10
66794	carotenoid biosynthesis	27.27	6 of 22
66794	cholesterol biosynthesis	27.27	3 of 11
66794	3-phenylpropionate degradation	26.67	4 of 15
66794	carnitine metabolism	25	2 of 8
66794	lactate fermentation	25	1 of 4
66794	cyclohexanol degradation	25	1 of 4
66794	toluene degradation	25	1 of 4
66794	dTDPLrhamnose biosynthesis	25	2 of 8
66794	sulfate reduction	23.08	3 of 13
66794	nitrate assimilation	22.22	2 of 9
66794	4-hydroxymandelate degradation	22.22	2 of 9
66794	allantoin degradation	22.22	2 of 9

Isolation, sampling and environmental information

Isolation

67770

Sample typeSoy sauce brewing mashes

Taxonmaps

69479

Global distribution of 16S sequence AB911555 (>99% sequence identity) for Tetragenococcus halophilus from Microbeatlas

Aquatic Samples	1678
Soil Samples	861
Animal Samples	20165
Plant Samples	532
Total Samples	23236

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
8729	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	ASM28361v1 assembly for Tetragenococcus halophilus NBRC 12172	complete	GCA_000283615	945021.8	2511231116	945021	96.3

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
20218	Tetragenococcus halophilus gene for 16S rRNA, partial sequence, strain: NBRC 12172	AB680249	1484		945021
67770	Tetragenococcus halophilus gene for 16S rRNA, partial sequence, strain: JCM 20259	AB911555	1522		51669

GC content

@ref	GC-content (mol%)	Method
67770	35.9
67770	34.2	thermal denaturation, midpoint method (Tm)

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM28361v1 assembly for Tetragenococcus halophilus NBRC 12172
BV-BRC: 945021.8

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	facultative anaerobe	91.09	no
125439	gram_stain	BacteriaNetⓘ	variable	54.74	no
125439	motility	BacteriaNetⓘ	yes	45.75	no
125439	spore_formation	BacteriaNetⓘ	yes	34.94	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Tetragenococcus halophilus NBRC 12172 NBRC 12172
NCBI: GCA_000283615.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	90.46	no
125438	anaerobic	anaerobicⓘ	no	83.83	no
125438	aerobic	aerobicⓘ	no	92.68	no
125438	spore-forming	spore-formingⓘ	no	80.23	no
125438	thermophilic	thermophileⓘ	no	93.50	yes
125438	flagellated	motile2+ⓘ	no	86.00	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Biotechnology	Transcriptomic profiling reveals differences in the adaptation of two Tetragenococcus halophilus strains to a lupine moromi model medium.	Link T, Ehrmann MA.	BMC Microbiol	10.1186/s12866-023-02760-w	2023
	Polysaccharide intercellular adhesin and proper phospholipid composition are important for aggregation in Tetragenococcus halophilus SL10.	Yanagihara A, Matsue K, Kobayashi K, Wakinaka T, Mogi Y, Watanabe J.	Appl Environ Microbiol	10.1128/aem.00334-24	2024
	Targeted Screening for Spontaneous Insertion Mutations in a Lactic Acid Bacterium, Tetragenococcus halophilus.	Nukagawa Y, Wakinaka T, Mogi Y, Watanabe J.	Appl Environ Microbiol	10.1128/aem.02005-22	2023
	Identification of an operon and its regulator required for autoaggregation in Tetragenococcus halophilus.	Endo R, Hotta S, Wakinaka T, Mogi Y, Watanabe J.	Appl Environ Microbiol	10.1128/aem.01458-23	2023
Genetics	Comparative Genomics of Closely Related Tetragenococcus halophilus Strains Elucidate the Diversity and Microevolution of CRISPR Elements.	Matsutani M, Wakinaka T, Watanabe J, Tokuoka M, Ohnishi A.	Front Microbiol	10.3389/fmicb.2021.687985	2021
Pathogenicity	Ribitol-Containing Wall Teichoic Acid of Tetragenococcus halophilus Is Targeted by Bacteriophage phiWJ7 as a Binding Receptor.	Wakinaka T, Matsutani M, Watanabe J, Mogi Y, Tokuoka M, Ohnishi A.	Microbiol Spectr	10.1128/spectrum.00336-22	2022
	Transposition of IS4 Family Insertion Sequences ISTeha3, ISTeha4, and ISTeha5 into the arc Operon Disrupts Arginine Deiminase System in Tetragenococcus halophilus.	Wakinaka T, Watanabe J.	Appl Environ Microbiol	10.1128/aem.00208-19	2019
Metabolism	The diversity among the species Tetragenococcus halophilus including new isolates from a lupine seed fermentation.	Link T, Vogel RF, Ehrmann MA.	BMC Microbiol	10.1186/s12866-021-02381-1	2021
	Antagonistic potential and analytical profiling of plant probiotic bacteria using chromatography and mass spectrometry techniques against Botrytis cinerea and Fusarium oxysporum.	Hiranmayee G, Mallick SP, Reddy GS.	Bioresour Bioprocess	10.1186/s40643-025-00853-0	2025
Metabolism	Survival strategy of the salt-tolerant lactic acid bacterium, Tetragenococcus halophilus, to counteract koji mold, Aspergillus oryzae, in soy sauce brewing.	Nishimura I, Shinohara Y, Oguma T, Koyama Y.	Biosci Biotechnol Biochem	10.1080/09168451.2018.1460574	2018
	Contribution of Microorganisms to Biogenic Amine Accumulation during Fish Sauce Fermentation and Screening of Novel Starters.	Ma X, Bi J, Li X, Zhang G, Hao H, Hou H.	Foods	10.3390/foods10112572	2021
	Draft Genome Sequence of Tetragenococcus halophilus Strain FBL3, a Probiotic Bacterium Isolated from Galchijeot, a Salted Fermented Food, in the Republic of Korea.	Kim E, Kim JH, Yang SM, Suh SM, Kim HJ, Kim CG, Choo DW, Kim HY.	Genome Announc	10.1128/genomea.00304-17	2017
	Antimicrobial Potential of Secondary Metabolites Produced by Bacillus sp. and Their Gas Chromatography (GC)-Mass Spectrometry (MS) Analysis.	Sujitha JWR, Senthilkumar D, Nandhagopal M.	Cureus	10.7759/cureus.70472	2024
	Lentilactobacillus buchneri domination during the fermentation of Japanese traditional fermented fish (funazushi).	Tanabe K, Monguchi M, Inoue R, Zamami R, Nakanishi R, Manabe A, Oe K, Komatsuzaki N, Shima J.	Food Sci Nutr	10.1002/fsn3.3002	2022
	Lysinabacillus fusiformis and Paenibacillus alvei Obtained from the Internal of Nasutitermes Termites Revealed Their Ability as Antagonist of Plant Pathogenic Fungi.	Fitriana Y, Tampubolon DAT, Suharjo R, Lestari P, Swibawa IG.	Plant Pathol J	10.5423/ppj.oa.03.2022.0031	2022
Genetics	Genomic analysis of acid tolerance genes and deciphering the function of ydaG gene in mitigating acid tolerance in Priestia megaterium.	Sharma D, Chetri PB, Ranga V, Sen S, Sarmah BK, Barooah M.	Front Microbiol	10.3389/fmicb.2024.1414777	2024
Metabolism	Dietary Supplementation of Microbial Dextran and Inulin Exerts Hypocholesterolemic Effects and Modulates Gut Microbiota in BALB/c Mice Models.	Jawad I, Bin Tawseen H, Irfan M, Ahmad W, Hassan M, Sattar F, Awan FR, Khaliq S, Akhtar N, Akhtar K, Anwar MA, Munawar N.	Int J Mol Sci	10.3390/ijms24065314	2023
	Identification and environment-friendly biocontrol potential of five different bacteria against Aphis punicae and Aphis illinoisensis (Hemiptera: Aphididae).	Baazeem A, Alotaibi SS, Khalaf LK, Kumar U, Zaynab M, Alharthi S, Darwish H, Alghamdi A, Jat SK, Al-Barty A, Albogami B, Noureldeen A, Ravindran B.	Front Microbiol	10.3389/fmicb.2022.961349	2022
	Identification of the peptide epimerase MslH responsible for d-amino acid introduction at the C-terminus of ribosomal peptides.	Feng Z, Ogasawara Y, Dairi T.	Chem Sci	10.1039/d0sc06308h	2020
Metabolism	Antimicrobial activity of silver nanoparticles synthesised by using microbial biosurfactant produced by a newly isolated Bacillus vallismortis MDU6 strain.	Das M, Borah D, Patowary K, Borah M, Khataniar A, Bhusan Kakoti B.	IET Nanobiotechnol	10.1049/iet-nbt.2019.0038	2019
	Synthesis of d-Amino Acid-Containing Dipeptides Using the Adenylation Domains of Nonribosomal Peptide Synthetase.	Kano S, Suzuki S, Hara R, Kino K.	Appl Environ Microbiol	10.1128/aem.00120-19	2019
	Single-Nucleotide RNA Maps for the Two Major Nosocomial Pathogens Enterococcus faecalis and Enterococcus faecium.	Michaux C, Hansen EE, Jenniches L, Gerovac M, Barquist L, Vogel J.	Front Cell Infect Microbiol	10.3389/fcimb.2020.600325	2020
	Enhancement of disease resistance, growth potential, and photosynthesis in tomato (Solanum lycopersicum) by inoculation with an endophytic actinobacterium, Streptomyces thermocarboxydus strain BPSAC147.	Passari AK, Upadhyaya K, Singh G, Abdel-Azeem AM, Thankappan S, Uthandi S, Hashem A, Abd Allah EF, Malik JA, As A, Gupta VK, Ranjan S, Singh BP.	PLoS One	10.1371/journal.pone.0219014	2019
Genetics	DFAST and DAGA: web-based integrated genome annotation tools and resources.	Tanizawa Y, Fujisawa T, Kaminuma E, Nakamura Y, Arita M.	Biosci Microbiota Food Health	10.12938/bmfh.16-003	2016
Enzymology	Bi- and Tetracyclic Spirotetronates from the Coal Mine Fire Isolate Streptomyces sp. LC-6-2.	Wang X, Elshahawi SI, Cai W, Zhang Y, Ponomareva LV, Chen X, Copley GC, Hower JC, Zhan CG, Parkin S, Rohr J, Van Lanen SG, Shaaban KA, Thorson JS.	J Nat Prod	10.1021/acs.jnatprod.7b00108	2017
Metabolism	Bioprocess development for L-asparaginase production by Streptomyces rochei, purification and in-vitro efficacy against various human carcinoma cell lines.	El-Naggar NE, El-Shweihy NM.	Sci Rep	10.1038/s41598-020-64052-x	2020
Metabolism	One-Pot Production of L-threo-3-Hydroxyaspartic Acid Using Asparaginase-Deficient Escherichia coli Expressing Asparagine Hydroxylase of Streptomyces coelicolor A3(2).	Hara R, Nakano M, Kino K.	Appl Environ Microbiol	10.1128/aem.03963-14	2015
	Two Major Clades of Bradyrhizobia Dominate Symbiotic Interactions with Pigeonpea in Fields of Côte d'Ivoire.	Fossou RK, Ziegler D, Zeze A, Barja F, Perret X.	Front Microbiol	10.3389/fmicb.2016.01793	2016
Metabolism	Indole Biodegradation in Acinetobacter sp. Strain O153: Genetic and Biochemical Characterization.	Sadauskas M, Vaitekunas J, Gasparaviciute R, Meskys R.	Appl Environ Microbiol	10.1128/aem.01453-17	2017
	Herbimycins D-F, ansamycin analogues from Streptomyces sp. RM-7-15.	Shaaban KA, Wang X, Elshahawi SI, Ponomareva LV, Sunkara M, Copley GC, Hower JC, Morris AJ, Kharel MK, Thorson JS.	J Nat Prod	10.1021/np400308w	2013
Metabolism	Divulging diazotrophic bacterial community structure in Kuwait desert ecosystems and their N2-fixation potential.	Suleiman MK, Quoreshi AM, Bhat NR, Manuvel AJ, Sivadasan MT.	PLoS One	10.1371/journal.pone.0220679	2019
	Metarhizium caribense sp. nov., a Novel Species of Entomopathogenic Metarhizium Fungi Associated with Weevils Impairing Coffee, Sugar Cane and Sweet Potato Cultivation.	Baro Robaina Y, Schuster C, Castaneda-Ruiz RF, Gato Cardenas Y, Marquez Gutierrez ME, Ponce de la Cal A, Leclerque A.	J Fungi (Basel)	10.3390/jof10090612	2024

References

#8729	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 20338
#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 )
#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 )
#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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Tetragenococcus halophilus subsp. halophilus (DSM 20338, IFO 12172, NBRC 12172)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Murein

Pathway annotation

Isolation, sampling and environmental information

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_000283615

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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