Megasphaera paucivorans (DSM 16981, VTT E-032341)

Name: Megasphaera paucivorans (DSM 16981, VTT E-032341)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 17131

Type strain

Culture col. no. DSM 16981 VTT E-032341

NCBI tax ID(s) 1122220 349095

Special Collections DSMZ Literature strains

History <- R. Juvonen <- VTT

Links

Megasphaera paucivorans DSM 16981 is an anaerobe, Gram-negative, coccus-shaped bacterium that was isolated from spoiled Italian beer.

Gram-negative coccus-shaped anaerobe genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 290985

DSM 16981,VTT E-032341

@ref 20215

Last LPSN update 2026-02-09 11:22:08

Domain Bacteria

Phylum Bacillota

Class Negativicutes

Order Veillonellales

Family Veillonellaceae

Genus Megasphaera

Species Megasphaera paucivorans

Full scientific name Megasphaera paucivorans Juvonen and Suihko 2006

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Motility
31505	negative	1.2-1.9 µm	1-1.4 µm	coccus-shaped

Colony morphology

6600

Incubation period3-7 days

Pigmentation

31505

Productionyes

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
6600	MRS pre-reduced (DSMZ Medium 11b)		Medium recipe at MediaDive	Name: MRS MEDIUM (pre-reduced) (DSMZ Medium 11b) 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 L-Cysteine HCl x H2O 0.5 g/l MgSO4 x 7 H2O 0.2 g/l MnSO4 x H2O 0.05 g/l Resazurin 0.001 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
6600	positive	growth	30
31505	positive	growth	15-37
31505	positive	optimum	30

Culture pH

@ref	Ability	Type	PH
31505	positive	optimum	7
31505	positive	growth	7

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
6600	anaerobe
31505	anaerobe
125439	anaerobe	92.8

Spore formation

31505

Spore formationno

Observation

31505

Observationaggregates in chains

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
68380	29016 ChEBI	arginine	-	hydrolysis	from API rID32A
68380	16024 ChEBI	D-mannose	-	fermentation	from API rID32A
31505	24265 ChEBI	gluconate	+	carbon source
68380	29985 ChEBI	L-glutamate	-	degradation	from API rID32A
68380	17632 ChEBI	nitrate	-	reduction	from API rID32A
68380	16634 ChEBI	raffinose	-	fermentation	from API rID32A
68380	27897 ChEBI	tryptophan	-	energy source	from API rID32A
68380	16199 ChEBI	urea	-	hydrolysis	from API rID32A

Metabolite production

@ref	Chebi-ID	Metabolite	Production
31505	16136 ChEBI	hydrogen sulfide
68380	35581 ChEBI	indole		from API rID32A

Metabolite tests

@ref	Chebi-ID	Metabolite	Indole test
68380	35581 ChEBI	indole	-	from API rID32A

Enzymes

@ref	Value	Activity	Ec
68380	alanine arylamidase	-	3.4.11.2	from API rID32A
68380	alkaline phosphatase	-	3.1.3.1	from API rID32A
68380	alpha-arabinosidase	-	3.2.1.55	from API rID32A
68380	alpha-fucosidase	-	3.2.1.51	from API rID32A
68380	alpha-galactosidase	-	3.2.1.22	from API rID32A
68380	alpha-glucosidase	-	3.2.1.20	from API rID32A
68380	arginine dihydrolase	-	3.5.3.6	from API rID32A
68380	beta-galactosidase	-	3.2.1.23	from API rID32A
68380	beta-Galactosidase 6-phosphate	-		from API rID32A
68380	beta-glucosidase	-	3.2.1.21	from API rID32A
68380	beta-glucuronidase	-	3.2.1.31	from API rID32A
68380	glutamate decarboxylase	-	4.1.1.15	from API rID32A
68380	glutamyl-glutamate arylamidase	-		from API rID32A
68380	glycin arylamidase	-		from API rID32A
68380	histidine arylamidase	-		from API rID32A
68380	L-arginine arylamidase	-		from API rID32A
68380	leucine arylamidase	-	3.4.11.1	from API rID32A
68380	leucyl glycin arylamidase	-	3.4.11.1	from API rID32A
68380	N-acetyl-beta-glucosaminidase	-	3.2.1.52	from API rID32A
68380	phenylalanine arylamidase	-		from API rID32A
68380	proline-arylamidase	-	3.4.11.5	from API rID32A
68380	pyrrolidonyl arylamidase	-	3.4.19.3	from API rID32A
68380	serine arylamidase	-		from API rID32A
68380	tryptophan deaminase	-	4.1.99.1	from API rID32A
68380	tyrosine arylamidase	-		from API rID32A
68380	urease	-	3.5.1.5	from API rID32A

Pathway annotation

Computationally determined by

@ref	pathway	enzyme coverage	annotated reactions
66794	lipoate biosynthesis	100	5 of 5
66794	methylglyoxal degradation	100	5 of 5
66794	UDP-GlcNAc biosynthesis	100	3 of 3
66794	gluconeogenesis	100	8 of 8
66794	CDP-diacylglycerol biosynthesis	100	2 of 2
66794	butanoate fermentation	100	4 of 4
66794	coenzyme A metabolism	100	4 of 4
66794	threonine metabolism	100	10 of 10
66794	glycine betaine biosynthesis	100	5 of 5
66794	CMP-KDO biosynthesis	100	4 of 4
66794	adipate degradation	100	2 of 2
66794	L-lactaldehyde degradation	100	3 of 3
66794	ppGpp biosynthesis	100	4 of 4
66794	suberin monomers biosynthesis	100	2 of 2
66794	biotin biosynthesis	100	4 of 4
66794	anapleurotic synthesis of oxalacetate	100	1 of 1
66794	folate polyglutamylation	100	1 of 1
66794	chorismate metabolism	88.89	8 of 9
66794	CO2 fixation in Crenarchaeota	88.89	8 of 9
66794	lipid A biosynthesis	88.89	8 of 9
66794	C4 and CAM-carbon fixation	87.5	7 of 8
66794	palmitate biosynthesis	86.36	19 of 22
66794	propanol degradation	85.71	6 of 7
66794	vitamin B1 metabolism	84.62	11 of 13
66794	glutamate and glutamine metabolism	82.14	23 of 28
66794	phenylacetate degradation (aerobic)	80	4 of 5
66794	peptidoglycan biosynthesis	80	12 of 15
66794	cellulose degradation	80	4 of 5
66794	photosynthesis	78.57	11 of 14
66794	serine metabolism	77.78	7 of 9
66794	phenylalanine metabolism	76.92	10 of 13
66794	glycogen biosynthesis	75	3 of 4
66794	acetate fermentation	75	3 of 4
66794	ketogluconate metabolism	75	6 of 8
66794	alanine metabolism	72.41	21 of 29
66794	tetrahydrofolate metabolism	71.43	10 of 14
66794	citric acid cycle	71.43	10 of 14
66794	glycolysis	70.59	12 of 17
66794	starch degradation	70	7 of 10
66794	leucine metabolism	69.23	9 of 13
66794	pyrimidine metabolism	68.89	31 of 45
66794	acetoin degradation	66.67	2 of 3
66794	formaldehyde oxidation	66.67	2 of 3
66794	aspartate and asparagine metabolism	66.67	6 of 9
66794	flavin biosynthesis	66.67	10 of 15
66794	valine metabolism	66.67	6 of 9
66794	methane metabolism	66.67	2 of 3
66794	molybdenum cofactor biosynthesis	66.67	6 of 9
66794	d-mannose degradation	66.67	6 of 9
66794	cyanate degradation	66.67	2 of 3
66794	lipid metabolism	64.52	20 of 31
66794	heme metabolism	64.29	9 of 14
66794	degradation of sugar acids	64	16 of 25
66794	oxidative phosphorylation	63.74	58 of 91
66794	vitamin B6 metabolism	63.64	7 of 11
66794	pentose phosphate pathway	63.64	7 of 11
66794	tryptophan metabolism	63.16	24 of 38
66794	6-hydroxymethyl-dihydropterin diphosphate biosynthesis	62.5	5 of 8
66794	isoleucine metabolism	62.5	5 of 8
66794	histidine metabolism	62.07	18 of 29
66794	NAD metabolism	61.11	11 of 18
66794	hydrogen production	60	3 of 5
66794	Entner Doudoroff pathway	60	6 of 10
66794	propionate fermentation	60	6 of 10
66794	glycogen metabolism	60	3 of 5
66794	lysine metabolism	59.52	25 of 42
66794	methionine metabolism	57.69	15 of 26
66794	ubiquinone biosynthesis	57.14	4 of 7
66794	purine metabolism	56.38	53 of 94
66794	degradation of sugar alcohols	56.25	9 of 16
66794	degradation of hexoses	55.56	10 of 18
66794	cysteine metabolism	55.56	10 of 18
66794	proline metabolism	54.55	6 of 11
66794	arginine metabolism	54.17	13 of 24
66794	isoprenoid biosynthesis	53.85	14 of 26
66794	urea cycle	53.85	7 of 13
66794	3-phenylpropionate degradation	53.33	8 of 15
66794	phenylmercury acetate degradation	50	1 of 2
66794	dTDPLrhamnose biosynthesis	50	4 of 8
66794	selenocysteine biosynthesis	50	3 of 6
66794	4-hydroxyphenylacetate degradation	50	5 of 10
66794	glycolate and glyoxylate degradation	50	3 of 6
66794	aminopropanol phosphate biosynthesis	50	1 of 2
66794	kanosamine biosynthesis II	50	1 of 2
66794	degradation of aromatic, nitrogen containing compounds	50	6 of 12
66794	ribulose monophosphate pathway	50	1 of 2
66794	cis-vaccenate biosynthesis	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	sulfopterin metabolism	50	2 of 4
66794	toluene degradation	50	2 of 4
66794	coenzyme M biosynthesis	50	5 of 10
66794	nitrate assimilation	44.44	4 of 9
66794	vitamin B12 metabolism	44.12	15 of 34
66794	reductive acetyl coenzyme A pathway	42.86	3 of 7
66794	cardiolipin biosynthesis	42.86	3 of 7
66794	glutathione metabolism	42.86	6 of 14
66794	tyrosine metabolism	42.86	6 of 14
66794	myo-inositol biosynthesis	40	4 of 10
66794	O-antigen biosynthesis	40	2 of 5
66794	phenol degradation	40	8 of 20
66794	metabolism of amino sugars and derivatives	40	2 of 5
66794	factor 420 biosynthesis	40	2 of 5
66794	non-pathway related	39.47	15 of 38
66794	phenylpropanoid biosynthesis	38.46	5 of 13
66794	carnitine metabolism	37.5	3 of 8
66794	acetyl CoA biosynthesis	33.33	1 of 3
66794	enterobactin biosynthesis	33.33	1 of 3
66794	octane oxidation	33.33	1 of 3
66794	IAA biosynthesis	33.33	1 of 3
66794	4-hydroxymandelate degradation	33.33	3 of 9
66794	sphingosine metabolism	33.33	2 of 6
66794	degradation of pentoses	32.14	9 of 28
66794	sulfate reduction	30.77	4 of 13
66794	glycine metabolism	30	3 of 10
66794	bile acid biosynthesis, neutral pathway	29.41	5 of 17
66794	benzoyl-CoA degradation	28.57	2 of 7
66794	polyamine pathway	26.09	6 of 23
66794	androgen and estrogen metabolism	25	4 of 16
66794	cyclohexanol degradation	25	1 of 4
66794	phosphatidylethanolamine bioynthesis	23.08	3 of 13
66794	ascorbate metabolism	22.73	5 of 22
66794	allantoin degradation	22.22	2 of 9

API rID32A

@ref	URE	ADH (Arg)	alpha GAL	beta GAL	beta-Galactosidase 6-phosphatebeta GP	alpha GLU	beta GLU	alpha ARA	beta GUR	beta-N-Acetyl-beta-glucosaminidasebeta NAG	MNE	RAF	GDC	alpha FUC	Reduction of nitrateNIT	IND	PAL	L-arginine arylamidaseArgA	ProA	LGA	Phenylalanine arylamidasePheA	Leucine arylamidaseLeuA	PyrA	Tyrosine arylamidaseTyrA	Alanine arylamidaseAlaA	Glycin arylamidaseGlyA	Histidine arylamidaseHisA	Glutamyl-glutamate arylamidaseGGA	Serine arylamidaseSerA
6600	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Engineered	#Food production	#Fermented
#Environmental	#Microbial community	-
#Engineered	#Food production	#Beverage

Isolation

@ref	Sample type	Country	Country ISO 3 Code	Continent
6600	spoiled Italian beer	Italy	ITA	Europe

Taxonmaps

69479

Global distribution of 16S sequence DQ223730 (>99% sequence identity) for Megasphaera from Microbeatlas

Aquatic Samples	1110
Soil Samples	125
Animal Samples	838
Plant Samples	34
Total Samples	2107

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
6600	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	IMG-taxon 2596583540 annotated assembly for Megasphaera paucivorans DSM 16981	contig	GCA_900103535	349095.5	2596583540	349095	61.22

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
20218	Megasphaera paucivorans gene for 16S rRNA, partial sequence, strain: DSM 16981	AB609708	1184		349095
6600	Megasphaera paucivorans strain VTT E-032341 16S ribosomal RNA gene, partial sequence	DQ223730	1553		349095

GC content

6600

GC-content (mol%)40.5

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Megasphaera paucivorans DSM 16981
NCBI: GCA_900103535

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	yes	52.00	no
125439	motility	BacteriaNetⓘ	yes	56.90	no
125439	gram_stain	BacteriaNetⓘ	positive	75.00	no
125439	oxygen_tolerance	BacteriaNetⓘ	anaerobe	92.80	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Megasphaera paucivorans strain DSM 16981
PATRIC: 349095.5

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	88.41	yes
125438	anaerobic	anaerobicⓘ	yes	85.22	no
125438	spore-forming	spore-formingⓘ	no	77.17	no
125438	aerobic	aerobicⓘ	no	91.59	no
125438	thermophilic	thermophileⓘ	no	91.41	yes
125438	flagellated	motile2+ⓘ	no	84.85	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	Co-cultivation of lactic acid bacteria and fodder yeasts for probiotics and postbiotics production on halophyte-based hydrolysate.	Rudnyckyj S, Morales OV, Sanchez Aguilera PR, Brandolini S, Leifsdottir S, Thomsen MH.	Bioresour Technol	10.1016/j.biortech.2025.133240	2025
Metabolism	Carbohydrate Metabolism Differentiates Pectinatus and Megasphaera Species Growing in Beer.	Arnold MJ, Ritter SW, Ehrmann MA, Kurniawan YN, Suzuki K, Becker TM, Liebl W.	Microorganisms	10.3390/microorganisms12102045	2024
Phylogeny	Uncovering Novel Plasma Membrane Carboxylate Transporters in the Yeast Cyberlindnera jadinii.	Sousa-Silva M, Soares P, Alves J, Vieira D, Casal M, Soares-Silva I.	J Fungi (Basel)	10.3390/jof8010051	2022
	Synthesis of ethyl acetate from glucose by Kluyveromyces marxianus, Cyberlindnera jadinii and Wickerhamomyces anomalus depending on the induction mode.	Hoffmann A, Kupsch C, Walther T, Loser C.	Eng Life Sci	10.1002/elsc.202000048	2021
	Screening and Growth Characterization of Non-conventional Yeasts in a Hemicellulosic Hydrolysate.	Monteiro de Oliveira P, Aborneva D, Bonturi N, Lahtvee PJ.	Front Bioeng Biotechnol	10.3389/fbioe.2021.659472	2021
	Aspergillus niger Secretes Citrate to Increase Iron Bioavailability.	Odoni DI, van Gaal MP, Schonewille T, Tamayo-Ramos JA, Martins Dos Santos VAP, Suarez-Diez M, Schaap PJ.	Front Microbiol	10.3389/fmicb.2017.01424	2017
Genetics	Draft genome sequences of Megasphaera paucivorans, a species of strict anaerobic beer spoiling cocci.	Arnold MJ, Ehrmann MA, Kurniawan YN, Suzuki K, Liebl W.	Microbiol Resour Announc	10.1128/mra.00404-25	2025
	Profiling of vaginal microbial communities in Chilean women via self-sampling and nanopore sequencing.	Oliva-Arancibia B, Villanueva P, Ugalde JA.	Sci Rep	10.1038/s41598-025-23837-8	2025
Metabolism	Exploring the functional diversity and metabolic activities of the human gut microbiome in Thai adults in response to a prebiotic diet.	Kingkaw A, Patumcharoenpol P, Suratannon N, Nakphaichit M, Roytrakul S, Vongsangnak W.	Microbiol Spectr	10.1128/spectrum.01599-24	2025
	The Vaginal Community State Types Microbiome-Immune Network as Key Factor for Bacterial Vaginosis and Aerobic Vaginitis.	De Seta F, Campisciano G, Zanotta N, Ricci G, Comar M.	Front Microbiol	10.3389/fmicb.2019.02451	2019
	Comparative analysis of vaginal microbiota sampling using 16S rRNA gene analysis.	Virtanen S, Kalliala I, Nieminen P, Salonen A.	PLoS One	10.1371/journal.pone.0181477	2017
	Microbial Diversity and Biochemical Analysis of Suanzhou: A Traditional Chinese Fermented Cereal Gruel.	Qin H, Sun Q, Pan X, Qiao Z, Yang H.	Front Microbiol	10.3389/fmicb.2016.01311	2016
Biotechnology	The use of the carbon/nitrogen ratio and specific organic loading rate as tools for improving biohydrogen production in fixed-bed reactors.	Anzola-Rojas MDP, Goncalves da Fonseca S, Canedo da Silva C, Maia de Oliveira V, Zaiat M.	Biotechnol Rep (Amst)	10.1016/j.btre.2014.10.010	2015
	Novel Clostridium populations involved in the anaerobic degradation of Microcystis blooms.	Xing P, Guo L, Tian W, Wu QL.	ISME J	10.1038/ismej.2010.176	2011
Metabolism	Genetic diversity of hydrogen-producing bacteria in an acidophilic ethanol-H2-coproducing system, analyzed using the [Fe]-hydrogenase gene.	Xing D, Ren N, Rittmann BE.	Appl Environ Microbiol	10.1128/aem.01946-07	2008
Genetics	Megasphaera vaginalis sp. nov. and Anaerococcus vaginimassiliensis sp. nov., new bacteria isolated from vagina of French woman with bacterial vaginosis.	Bordigoni A, Lo CI, Yimagou EK, Diop K, Nicaise B, Raoult D, Desnues C, Fenollar F.	New Microbes New Infect	10.1016/j.nmni.2020.100706	2020
	Megasphaera lornae sp. nov., Megasphaera hutchinsoni sp. nov., and Megasphaera vaginalis sp. nov.: novel bacteria isolated from the female genital tract.	Srinivasan S, Beamer MA, Fiedler TL, Austin MN, Sizova MV, Strenk SM, Agnew KJ, Gowda GAN, Raftery D, Epstein SS, Fredricks DN, Hillier SL.	Int J Syst Evol Microbiol	10.1099/ijsem.0.004702	2019
Phylogeny	Megasphaera hexanoica sp. nov., a medium-chain carboxylic acid-producing bacterium isolated from a cow rumen.	Jeon BS, Kim S, Sang BI	Int J Syst Evol Microbiol	10.1099/ijsem.0.001888	2017
Phylogeny	Megasphaera paucivorans sp. nov., Megasphaera sueciensis sp. nov. and Pectinatus haikarae sp. nov., isolated from brewery samples, and emended description of the genus Pectinatus.	Juvonen R, Suihko ML	Int J Syst Evol Microbiol	10.1099/ijs.0.63699-0	2006

References

#6600	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 16981
#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 )
#27803	IJSEM 695 2006 ( DOI 10.1099/ijs.0.63699-0 , PubMed 16585679 )
#31505	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 #27803
#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 )
#68380	Automatically annotated from API rID32A .
#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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Megasphaera paucivorans (DSM 16981, VTT E-032341)

Name and taxonomic classification

Morphology

Cell morphology

Colony morphology

Pigmentation

Culture and growth conditions

Culture medium

Culture temp

Culture pH

Physiology and metabolism

Oxygen tolerance

Spore formation

Observation

Metabolite utilization

Metabolite production

Metabolite tests

Enzymes

Pathway annotation

API rID32A

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_900103535

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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