Sulfobacillus acidophilus (DSM 10332, NAL)

Name: Sulfobacillus acidophilus (DSM 10332, NAL)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 18036

Type strain

Strain Designation NAL

Culture col. no. DSM 10332 NAL

NCBI tax ID(s) 679936 53633

Special Collections DSMZ

Links

Sulfobacillus acidophilus NAL is a thermophilic prokaryote that was isolated from coal spoil.

thermophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 43844

ATCC 700253,DSM 10332

@ref 20215

Last LPSN update 2025-12-16 09:51:14

Domain Bacillati

Phylum Bacillota

Class Clostridia

Order Eubacteriales

Family "Sulfobacillaceae"

Genus Sulfobacillus

Species Sulfobacillus acidophilus

Full scientific name Sulfobacillus acidophilus Norris et al. 1996

Morphology

Multimedia

@ref:	66793
multimedia content:	EM_DSM_10332_1.jpg
multimedia.multimedia content:	EM_DSM_10332_1.jpg
caption:	electron microscopic image
intellectual property rights:	© HZI/Manfred Rohde
manual_annotation:	1

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
3909	FERROUS SULFATE/YEAST EXTRACT MEDIUM (DSMZ Medium 1190)		Medium recipe at MediaDive	Name: FERROUS SULFATE/YEAST EXTRACT MEDIUM (DSMZ Medium 1190) Composition: FeSO4 x 7 H2O 5.56 g/l MgSO4 x 7 H2O 0.5 g/l (NH4)2SO4 0.45 g/l Yeast extract 0.2 g/l Na2SO4 x 10 H2O 0.15 g/l KH2PO4 0.05 g/l KCl 0.05 g/l Ca(NO3)2 x 4 H2O 0.014 g/l Distilled water
3909	ACIDIMICROBIUM MEDIUM (DSMZ Medium 709)		Medium recipe at MediaDive	Name: ACIDIMICROBIUM MEDIUM (DSMZ Medium 709) Composition: MgSO4 x 7 H2O 0.5 g/l (NH4)2SO4 0.4 g/l Yeast extract 0.25 g/l K2HPO4 0.2 g/l KCl 0.1 g/l FeSO4 x 7 H2O 0.01 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
3909	positive	growth	45	thermophilic

Physiology and metabolism

Pathway annotation

Computationally determined by

@ref	pathway	enzyme coverage	annotated reactions
66794	anapleurotic synthesis of oxalacetate	100	1 of 1
66794	methylglyoxal degradation	100	5 of 5
66794	valine metabolism	100	9 of 9
66794	cis-vaccenate biosynthesis	100	2 of 2
66794	coenzyme A metabolism	100	4 of 4
66794	formaldehyde oxidation	100	3 of 3
66794	acetate fermentation	100	4 of 4
66794	vitamin K metabolism	100	5 of 5
66794	reductive acetyl coenzyme A pathway	100	7 of 7
66794	phenylacetate degradation (aerobic)	100	5 of 5
66794	adipate degradation	100	2 of 2
66794	aminopropanol phosphate biosynthesis	100	2 of 2
66794	biotin biosynthesis	100	4 of 4
66794	lipoate biosynthesis	100	5 of 5
66794	denitrification	100	2 of 2
66794	ceramide biosynthesis	100	1 of 1
66794	suberin monomers biosynthesis	100	2 of 2
66794	folate polyglutamylation	100	1 of 1
66794	UDP-GlcNAc biosynthesis	100	3 of 3
66794	CDP-diacylglycerol biosynthesis	100	2 of 2
66794	enterobactin biosynthesis	100	3 of 3
66794	photosynthesis	100	14 of 14
66794	palmitate biosynthesis	100	22 of 22
66794	pyrimidine metabolism	91.11	41 of 45
66794	4-hydroxyphenylacetate degradation	90	9 of 10
66794	propionate fermentation	90	9 of 10
66794	alanine metabolism	89.66	26 of 29
66794	aspartate and asparagine metabolism	88.89	8 of 9
66794	CO2 fixation in Crenarchaeota	88.89	8 of 9
66794	chorismate metabolism	88.89	8 of 9
66794	molybdenum cofactor biosynthesis	88.89	8 of 9
66794	C4 and CAM-carbon fixation	87.5	7 of 8
66794	glutamate and glutamine metabolism	85.71	24 of 28
66794	vitamin B1 metabolism	84.62	11 of 13
66794	leucine metabolism	84.62	11 of 13
66794	purine metabolism	84.04	79 of 94
66794	glycolate and glyoxylate degradation	83.33	5 of 6
66794	vitamin B12 metabolism	82.35	28 of 34
66794	proline metabolism	81.82	9 of 11
66794	pentose phosphate pathway	81.82	9 of 11
66794	hydrogen production	80	4 of 5
66794	3-chlorocatechol degradation	80	4 of 5
66794	threonine metabolism	80	8 of 10
66794	flavin biosynthesis	80	12 of 15
66794	glycogen metabolism	80	4 of 5
66794	starch degradation	80	8 of 10
66794	Entner Doudoroff pathway	80	8 of 10
66794	peptidoglycan biosynthesis	80	12 of 15
66794	histidine metabolism	79.31	23 of 29
66794	heme metabolism	78.57	11 of 14
66794	d-mannose degradation	77.78	7 of 9
66794	NAD metabolism	77.78	14 of 18
66794	serine metabolism	77.78	7 of 9
66794	phenylalanine metabolism	76.92	10 of 13
66794	ppGpp biosynthesis	75	3 of 4
66794	glycogen biosynthesis	75	3 of 4
66794	phenol degradation	75	15 of 20
66794	gluconeogenesis	75	6 of 8
66794	CMP-KDO biosynthesis	75	3 of 4
66794	sulfopterin metabolism	75	3 of 4
66794	isoleucine metabolism	75	6 of 8
66794	tryptophan metabolism	73.68	28 of 38
66794	methionine metabolism	73.08	19 of 26
66794	glutathione metabolism	71.43	10 of 14
66794	citric acid cycle	71.43	10 of 14
66794	tetrahydrofolate metabolism	71.43	10 of 14
66794	propanol degradation	71.43	5 of 7
66794	glycolysis	70.59	12 of 17
66794	coenzyme M biosynthesis	70	7 of 10
66794	sulfate reduction	69.23	9 of 13
66794	degradation of sugar alcohols	68.75	11 of 16
66794	octane oxidation	66.67	2 of 3
66794	acetoin degradation	66.67	2 of 3
66794	selenocysteine biosynthesis	66.67	4 of 6
66794	L-lactaldehyde degradation	66.67	2 of 3
66794	cyanate degradation	66.67	2 of 3
66794	isoprenoid biosynthesis	65.38	17 of 26
66794	d-xylose degradation	63.64	7 of 11
66794	metabolism of disaccharids	63.64	7 of 11
66794	6-hydroxymethyl-dihydropterin diphosphate biosynthesis	62.5	5 of 8
66794	dTDPLrhamnose biosynthesis	62.5	5 of 8
66794	ketogluconate metabolism	62.5	5 of 8
66794	urea cycle	61.54	8 of 13
66794	degradation of pentoses	60.71	17 of 28
66794	non-pathway related	60.53	23 of 38
66794	metabolism of amino sugars and derivatives	60	3 of 5
66794	factor 420 biosynthesis	60	3 of 5
66794	gallate degradation	60	3 of 5
66794	arachidonate biosynthesis	60	3 of 5
66794	ubiquinone biosynthesis	57.14	4 of 7
66794	androgen and estrogen metabolism	56.25	9 of 16
66794	cysteine metabolism	55.56	10 of 18
66794	lipid metabolism	54.84	17 of 31
66794	oxidative phosphorylation	53.85	49 of 91
66794	3-phenylpropionate degradation	53.33	8 of 15
66794	glycine metabolism	50	5 of 10
66794	degradation of aromatic, nitrogen containing compounds	50	6 of 12
66794	degradation of hexoses	50	9 of 18
66794	butanoate fermentation	50	2 of 4
66794	pantothenate biosynthesis	50	3 of 6
66794	lysine metabolism	50	21 of 42
66794	kanosamine biosynthesis II	50	1 of 2
66794	phenylmercury acetate degradation	50	1 of 2
66794	ethanol fermentation	50	1 of 2
66794	bile acid biosynthesis, neutral pathway	47.06	8 of 17
66794	arginine metabolism	45.83	11 of 24
66794	lipid A biosynthesis	44.44	4 of 9
66794	nitrate assimilation	44.44	4 of 9
66794	polyamine pathway	43.48	10 of 23
66794	tyrosine metabolism	42.86	6 of 14
66794	benzoyl-CoA degradation	42.86	3 of 7
66794	myo-inositol biosynthesis	40	4 of 10
66794	creatinine degradation	40	2 of 5
66794	degradation of sugar acids	40	10 of 25
66794	cellulose degradation	40	2 of 5
66794	carnitine metabolism	37.5	3 of 8
66794	acetyl CoA biosynthesis	33.33	1 of 3
66794	IAA biosynthesis	33.33	1 of 3
66794	methane metabolism	33.33	1 of 3
66794	sphingosine metabolism	33.33	2 of 6
66794	1,4-dihydroxy-6-naphthoate biosynthesis	33.33	2 of 6
66794	(5R)-carbapenem carboxylate biosynthesis	33.33	1 of 3
66794	allantoin degradation	33.33	3 of 9
66794	4-hydroxymandelate degradation	33.33	3 of 9
66794	cardiolipin biosynthesis	28.57	2 of 7
66794	chlorophyll metabolism	27.78	5 of 18
66794	dolichyl-diphosphooligosaccharide biosynthesis	27.27	3 of 11
66794	vitamin B6 metabolism	27.27	3 of 11
66794	cyclohexanol degradation	25	1 of 4
66794	lactate fermentation	25	1 of 4
66794	methanogenesis from CO2	25	3 of 12
66794	toluene degradation	25	1 of 4
66794	phenylpropanoid biosynthesis	23.08	3 of 13
66794	arachidonic acid metabolism	22.22	4 of 18

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Engineered	#Waste	#Solid waste
#Environmental	#Terrestrial	#Geologic

Isolation

@ref	Sample type	Country	Country ISO 3 Code	Continent
3909	coal spoil	United Kingdom	GBR	Europe

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
3909	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	ASM23797v1 assembly for Sulfobacillus acidophilus DSM 10332	complete	GCA_000237975	679936.5	2506520015	679936	68.85

16S sequences

@ref	Description	Accession	Length	NCBI tax ID
20218	Sulfobacillus acidophilus gene for 16S rRNA	AB089842	1525	679936
3909	Thermococcus alcaliphilus partial 16S rRNA gene, strain DSM 10322	AJ298872	1306	139207
3909	Sulfobacillus acidophilus DSM 10332 16S ribosomal RNA, partial sequence	NR_074758	1531	679936

GC content

3909

GC-content (mol%)56.2

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Sulfobacillus acidophilus DSM 10332
PATRIC: 679936.5

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	61.30	no
125439	motility	BacteriaNetⓘ	yes	54.60	no
125439	gram_stain	BacteriaNetⓘ	negative	68.70	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	76.40	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Sulfobacillus acidophilus DSM 10332 DSM 10332
NCBI: GCA_000237975.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	61.99	no
125438	anaerobic	anaerobicⓘ	no	72.44	no
125438	aerobic	aerobicⓘ	yes	58.56	no
125438	spore-forming	spore-formingⓘ	yes	74.76	no
125438	thermophilic	thermophileⓘ	yes	53.61	no
125438	flagellated	motile2+ⓘ	yes	60.46	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	Bacterial Tolerance and Bioleaching in the Presence of Chloride.	Vardanyan N, Khachatryan A, Melkonyan Z, Abrahamyan N, Barseghyan S, Zhang R, Vardanyan A.	Materials (Basel)	10.3390/ma18184407	2025
Phylogeny	Insights into Adaptive Mechanisms of Extreme Acidophiles Based on Quorum Sensing/Quenching-Related Proteins.	Huang S, Liu X, Yang W, Ma L, Li H, Liu R, Qiu J, Li Y.	mSystems	10.1128/msystems.01491-21	2022
Enzymology	Development of a whole-cell biocatalyst for diisobutyl phthalate degradation by functional display of a carboxylesterase on the surface of Escherichia coli.	Ding J, Zhou Y, Wang C, Peng Z, Mu Y, Tang X, Huang Z.	Microb Cell Fact	10.1186/s12934-020-01373-6	2020
Enzymology	High-Resolution X-Ray Structures of Two Functionally Distinct Members of the Cyclic Amide Hydrolase Family of Toblerone Fold Enzymes.	Peat TS, Balotra S, Wilding M, Hartley CJ, Newman J, Scott C.	Appl Environ Microbiol	10.1128/aem.03365-16	2017
	Adaptive Evolution of Extreme Acidophile Sulfobacillus thermosulfidooxidans Potentially Driven by Horizontal Gene Transfer and Gene Loss.	Zhang X, Liu X, Liang Y, Guo X, Xiao Y, Ma L, Miao B, Liu H, Peng D, Huang W, Zhang Y, Yin H.	Appl Environ Microbiol	10.1128/aem.03098-16	2017
	Characterization of SdGA, a cold-adapted glucoamylase from Saccharophagus degradans.	Wayllace NM, Hedin N, Busi MV, Gomez-Casati DF.	Biotechnol Rep (Amst)	10.1016/j.btre.2021.e00625	2021
Metabolism	Characterization and Genome Analysis of a Phthalate Esters-Degrading Strain Sphingobium yanoikuyae SHJ.	Feng L, Liu H, Cheng D, Mao X, Wang Y, Wu Z, Wu Q.	Biomed Res Int	10.1155/2018/3917054	2018
	Observation of coordinated RNA folding events by systematic cotranscriptional RNA structure probing.	Szyjka CE, Strobel EJ.	Nat Commun	10.1038/s41467-023-43395-9	2023
	Complete genome sequence of the moderately thermophilic mineral-sulfide-oxidizing firmicute Sulfobacillus acidophilus type strain (NAL(T)).	Anderson I, Chertkov O, Chen A, Saunders E, Lapidus A, Nolan M, Lucas S, Hammon N, Deshpande S, Cheng JF, Han C, Tapia R, Goodwin LA, Pitluck S, Liolios K, Pagani I, Ivanova N, Mikhailova N, Pati A, Palaniappan K, Land M, Pan C, Rohde M, Pukall R, Goker M, Detter JC, Woyke T, Bristow J, Eisen JA, Markowitz V, Hugenholtz P, Kyrpides NC, Klenk HP, Mavromatis K.	Stand Genomic Sci	10.4056/sigs.2736042	2012
	Roles and Regulation of Quorum Sensing of Acidophiles in Bioleaching: A Review.	Luo W, Li Y, Chen S, Liang Y, Liu X.	Microorganisms	10.3390/microorganisms12030422	2024
Metabolism	Cyanuric Acid Biodegradation via Biuret: Physiology, Taxonomy, and Geospatial Distribution.	Aukema KG, Tassoulas LJ, Robinson SL, Konopatski JF, Bygd MD, Wackett LP.	Appl Environ Microbiol	10.1128/aem.01964-19	2020
Pathogenicity	Effects of a probiotic Lactobacillus acidophilus strain on feed tolerance in dogs with non-specific dietary sensitivity.	Pascher M, Hellweg P, Khol-Parisini A, Zentek J.	Arch Anim Nutr	10.1080/17450390801892583	2008
	Probiotic disruption of quorum sensing reduces virulence and increases cefoxitin sensitivity in methicillin-resistant Staphylococcus aureus.	Cella MA, Coulson T, MacEachern S, Badr S, Ahmadi A, Tabatabaei MS, Labbe A, Griffiths MW.	Sci Rep	10.1038/s41598-023-31474-2	2023
	Cyanuric acid hydrolase: evolutionary innovation by structural concatenation.	Peat TS, Balotra S, Wilding M, French NG, Briggs LJ, Panjikar S, Cowieson N, Newman J, Scott C.	Mol Microbiol	10.1111/mmi.12249	2013
Phylogeny	Reclassification of Lactobacillus maltaromicus (Miller et al. 1974) DSM 20342(T) and DSM 20344 and Carnobacterium piscicola (Collins et al. 1987) DSM 20730(T) and DSM 20722 as Carnobacterium maltaromaticum comb. nov.	Mora D, Scarpellini M, Franzetti L, Colombo S, Galli A.	Int J Syst Evol Microbiol	10.1099/ijs.0.02405-0	2003
Genetics	Omics on bioleaching: current and future impacts.	Martinez P, Vera M, Bobadilla-Fazzini RA.	Appl Microbiol Biotechnol	10.1007/s00253-015-6903-8	2015
Genetics	Integrated Multi-omics Investigations Reveal the Key Role of Synergistic Microbial Networks in Removing Plasticizer Di-(2-Ethylhexyl) Phthalate from Estuarine Sediments.	Wei ST, Chen YL, Wu YW, Wu TY, Lai YL, Wang PH, Ismail W, Lee TH, Chiang YR.	mSystems	10.1128/msystems.00358-21	2021
Genetics	Comparative genome analysis reveals metabolic versatility and environmental adaptations of Sulfobacillus thermosulfidooxidans strain ST.	Guo X, Yin H, Liang Y, Hu Q, Zhou X, Xiao Y, Ma L, Zhang X, Qiu G, Liu X.	PLoS One	10.1371/journal.pone.0099417	2014
	Responses of zinc recovery to temperature and mineral composition during sphalerite bioleaching process.	Xiao Y, Liu X, Fang J, Liang Y, Zhang X, Meng D, Yin H.	AMB Express	10.1186/s13568-017-0491-1	2017
Enzymology	Evaluation of a fluorescent lectin-based staining technique for some acidophilic mining bacteria.	Fife DJ, Bruhn DF, Miller KS, Stoner DL.	Appl Environ Microbiol	10.1128/aem.66.5.2208-2210.2000	2000
	Nickel-resistance determinants in Acidiphilium sp. PM identified by genome-wide functional screening.	San Martin-Uriz P, Mirete S, Alcolea PJ, Gomez MJ, Amils R, Gonzalez-Pastor JE.	PLoS One	10.1371/journal.pone.0095041	2014
	Functional Comparison of Bacteria from the Human Gut and Closely Related Non-Gut Bacteria Reveals the Importance of Conjugation and a Paucity of Motility and Chemotaxis Functions in the Gut Environment.	Dobrijevic D, Abraham AL, Jamet A, Maguin E, van de Guchte M.	PLoS One	10.1371/journal.pone.0159030	2016
Metabolism	An Extracellular Tetrathionate Hydrolase from the Thermoacidophilic Archaeon Acidianus Ambivalens with an Activity Optimum at pH 1.	Protze J, Muller F, Lauber K, Nass B, Mentele R, Lottspeich F, Kletzin A.	Front Microbiol	10.3389/fmicb.2011.00068	2011
Genetics	Sulfur Oxygenase Reductase (Sor) in the Moderately Thermoacidophilic Leaching Bacteria: Studies in Sulfobacillus thermosulfidooxidans and Acidithiobacillus caldus.	Janosch C, Remonsellez F, Sand W, Vera M.	Microorganisms	10.3390/microorganisms3040707	2015
Metabolism	Association of purine asymmetry, strand-biased gene distribution and PolC within Firmicutes and beyond: a new appraisal.	Saha SK, Goswami A, Dutta C.	BMC Genomics	10.1186/1471-2164-15-430	2014
Biotechnology	Sulfobacillus thermosulfidooxidans strain Cutipay enhances chalcopyrite bioleaching under moderate thermophilic conditions in the presence of chloride ion.	Bobadilla-Fazzini RA, Cortes MP, Maass A, Parada P	AMB Express	10.1186/s13568-014-0084-1	2014
Enzymology	Newly identified thermostable esterase from Sulfobacillus acidophilus: properties and performance in phthalate ester degradation.	Zhang XY, Fan X, Qiu YJ, Li CY, Xing S, Zheng YT, Xu JH	Appl Environ Microbiol	10.1128/AEM.02072-14	2014
Enzymology	"Candidatus Hydrogenisulfobacillus filiaventi" strain R50 gen. nov. sp. nov., a highly efficient producer of extracellular organic compounds from H₂ and CO₂.	Hogendoorn C, Pol A, de Graaf R, White PB, Mesman R, van Galen PM, van Alen TA, Cremers G, Jansen RS, Jetten MSM, Op den Camp HJM.	Front Microbiol	10.3389/fmicb.2023.1151097	2023
Phylogeny	Sulfobacillus harzensis sp. nov., an acidophilic bacterium inhabiting mine tailings from a polymetallic mine.	Zhang R, Hedrich S, Jin D, Breuker A, Schippers A	Int J Syst Evol Microbiol	10.1099/ijsem.0.004871	2021

References

#3909	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 10332
#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) .
#66793	Mukherjee et al.: GEBA: 1,003 reference genomes of bacterial and archaeal isolates expand coverage of the tree of life. 35: 676 - 683 2017 ( DOI 10.1038/nbt.3886 , PubMed 28604660 )
#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 )
#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 )

Rate our new design

Content

About us

Sulfobacillus acidophilus (DSM 10332, NAL)

Name and taxonomic classification

Morphology

Multimedia

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Pathway annotation

Isolation, sampling and environmental information

Isolation source categories

Isolation

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_000237975

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

Help

Social Media