Paucilactobacillus vaccinostercus (DSM 20634, ATCC 33310, LMG 9215)

Name: Paucilactobacillus vaccinostercus (DSM 20634, ATCC 33310, LMG 9215)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 6600

Type strain

Strain Designation X-94

Culture col. no. DSM 20634 ATCC 33310 LMG 9215 NCIMB 11808 NRIC 1075 9 more

NCBI tax ID(s) 1423813 176291

Special Collections DSMZ CCUG JCM KCTC CIP

History <- ATCC <- S. Okada, X-94 M. Kozaki and S. Okada X-94. CIP <- 1987, DSMZ <- ATCC <- S. Okada: strain X-94

Links

Paucilactobacillus vaccinostercus X-94 is an anaerobe, mesophilic prokaryote that was isolated from cow dung.

anaerobe mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 3385

LMG 9215,ATCC 33310,DSM 20634,NCIMB 11808,NCIB 11808,CCUG 30723,JCM 1716,CIP 102807,CCRC 14005,NCFB2784,KCTC 3608,CECT 5925,BCRC 14005

@ref 20215

Last LPSN update 2026-02-09 11:19:16

Domain Bacteria

Phylum Bacillota

Class Bacilli

Order Lactobacillales

Family Lactobacillaceae

Genus Paucilactobacillus

Species Paucilactobacillus vaccinostercus

Full scientific name Paucilactobacillus vaccinostercus (Kozaki and Okada 1983) Zheng et al. 2020

Synonyms (2)

Lactobacillus durianis
Lactobacillus vaccinostercus

BacDive ID	Other strains from **Paucilactobacillus vaccinostercus** (1)	Type strain
6599	P. vaccinostercus MC11, DSM 15802, CCUG 45405, CIP 107501, ...

Morphology

Cell morphology

@ref	Motility	Confidence	Gram stain
125438		90.5
125438		94.304	positive

Culture and growth conditions

Culture medium

@ref	Name	Medium link	Composition
8980	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
40458	MEDIUM 51 - for Lactobacillus vaccinostercus		Distilled water make up to (1000.000 ml);Man Rogosa Sharp broth (55.000 g);Xylose (10.000 g)
123771	CIP Medium 41	Medium recipe at CIP

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
8980	positive	growth	30	mesophilic
40458	positive	growth	37	mesophilic
50244	positive	growth	30	mesophilic
67770	positive	growth	30	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
50244	anaerobe
125439	microaerophile	95.4

Murein

@ref	Murein short key	Type
8980	A31	A1gamma m-Dpm-direct

Pathway annotation

Computationally determined by

@ref	pathway	enzyme coverage	annotated reactions
66794	coenzyme A metabolism	100	4 of 4
66794	pentose phosphate pathway	100	11 of 11
66794	acetate fermentation	100	4 of 4
66794	L-lactaldehyde degradation	100	3 of 3
66794	ribulose monophosphate pathway	100	2 of 2
66794	methylglyoxal degradation	100	5 of 5
66794	acetoin degradation	100	3 of 3
66794	formaldehyde oxidation	100	3 of 3
66794	ppGpp biosynthesis	100	4 of 4
66794	teichoic acid biosynthesis	100	1 of 1
66794	CDP-diacylglycerol biosynthesis	100	2 of 2
66794	anapleurotic synthesis of oxalacetate	100	1 of 1
66794	suberin monomers biosynthesis	100	2 of 2
66794	folate polyglutamylation	100	1 of 1
66794	cis-vaccenate biosynthesis	100	2 of 2
66794	UDP-GlcNAc biosynthesis	100	3 of 3
66794	palmitate biosynthesis	100	22 of 22
66794	chorismate metabolism	88.89	8 of 9
66794	valine metabolism	88.89	8 of 9
66794	aspartate and asparagine metabolism	88.89	8 of 9
66794	glutamate and glutamine metabolism	82.14	23 of 28
66794	peptidoglycan biosynthesis	80	12 of 15
66794	threonine metabolism	80	8 of 10
66794	pyrimidine metabolism	80	36 of 45
66794	cellulose degradation	80	4 of 5
66794	Entner Doudoroff pathway	80	8 of 10
66794	vitamin B1 metabolism	76.92	10 of 13
66794	purine metabolism	76.6	72 of 94
66794	isoleucine metabolism	75	6 of 8
66794	butanoate fermentation	75	3 of 4
66794	glycogen biosynthesis	75	3 of 4
66794	ketogluconate metabolism	75	6 of 8
66794	cardiolipin biosynthesis	71.43	5 of 7
66794	phenylalanine metabolism	69.23	9 of 13
66794	serine metabolism	66.67	6 of 9
66794	glycolate and glyoxylate degradation	66.67	4 of 6
66794	NAD metabolism	66.67	12 of 18
66794	CO2 fixation in Crenarchaeota	66.67	6 of 9
66794	cyanate degradation	66.67	2 of 3
66794	glycolysis	64.71	11 of 17
66794	citric acid cycle	64.29	9 of 14
66794	photosynthesis	64.29	9 of 14
66794	d-xylose degradation	63.64	7 of 11
66794	C4 and CAM-carbon fixation	62.5	5 of 8
66794	6-hydroxymethyl-dihydropterin diphosphate biosynthesis	62.5	5 of 8
66794	dTDPLrhamnose biosynthesis	62.5	5 of 8
66794	gluconeogenesis	62.5	5 of 8
66794	degradation of sugar alcohols	62.5	10 of 16
66794	glycine betaine biosynthesis	60	3 of 5
66794	glycogen metabolism	60	3 of 5
66794	starch degradation	60	6 of 10
66794	methionine metabolism	57.69	15 of 26
66794	tetrahydrofolate metabolism	57.14	8 of 14
66794	propanol degradation	57.14	4 of 7
66794	ubiquinone biosynthesis	57.14	4 of 7
66794	degradation of sugar acids	56	14 of 25
66794	cysteine metabolism	55.56	10 of 18
66794	non-pathway related	55.26	21 of 38
66794	alanine metabolism	55.17	16 of 29
66794	proline metabolism	54.55	6 of 11
66794	leucine metabolism	53.85	7 of 13
66794	urea cycle	53.85	7 of 13
66794	oxidative phosphorylation	51.65	47 of 91
66794	adipate degradation	50	1 of 2
66794	degradation of pentoses	50	14 of 28
66794	CMP-KDO biosynthesis	50	2 of 4
66794	degradation of aromatic, nitrogen containing compounds	50	6 of 12
66794	glutathione metabolism	50	7 of 14
66794	sulfopterin metabolism	50	2 of 4
66794	propionate fermentation	50	5 of 10
66794	ethanol fermentation	50	1 of 2
66794	histidine metabolism	48.28	14 of 29
66794	lysine metabolism	47.62	20 of 42
66794	flavin biosynthesis	46.67	7 of 15
66794	arginine metabolism	45.83	11 of 24
66794	vitamin B6 metabolism	45.45	5 of 11
66794	tryptophan metabolism	44.74	17 of 38
66794	d-mannose degradation	44.44	4 of 9
66794	mevalonate metabolism	42.86	3 of 7
66794	reductive acetyl coenzyme A pathway	42.86	3 of 7
66794	lipid metabolism	41.94	13 of 31
66794	arachidonate biosynthesis	40	2 of 5
66794	metabolism of amino sugars and derivatives	40	2 of 5
66794	lipoate biosynthesis	40	2 of 5
66794	bacilysin biosynthesis	40	2 of 5
66794	gallate degradation	40	2 of 5
66794	glycine metabolism	40	4 of 10
66794	O-antigen biosynthesis	40	2 of 5
66794	degradation of hexoses	38.89	7 of 18
66794	IAA biosynthesis	33.33	1 of 3
66794	lipid A biosynthesis	33.33	3 of 9
66794	enterobactin biosynthesis	33.33	1 of 3
66794	octane oxidation	33.33	1 of 3
66794	acetyl CoA biosynthesis	33.33	1 of 3
66794	selenocysteine biosynthesis	33.33	2 of 6
66794	ascorbate metabolism	31.82	7 of 22
66794	phenol degradation	30	6 of 20
66794	myo-inositol biosynthesis	30	3 of 10
66794	tyrosine metabolism	28.57	4 of 14
66794	dolichyl-diphosphooligosaccharide biosynthesis	27.27	3 of 11
66794	isoprenoid biosynthesis	26.92	7 of 26
66794	lactate fermentation	25	1 of 4
66794	cyclohexanol degradation	25	1 of 4
66794	toluene degradation	25	1 of 4
66794	androgen and estrogen metabolism	25	4 of 16
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

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host	#Mammals	#Bovinae (Cow, Cattle)
#Host Body Product	#Gastrointestinal tract	#Feces (Stool)

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
8980	cow dung
50244	Cow dung	Kanagawa,Atsugi-shi	Japan	JPN	Asia
67770	Cow dung
123771	Animal, Dried cow dung	Tokyo	Japan	JPN	Asia

Taxonmaps

69479

Global distribution of 16S sequence AM113786 (>99% sequence identity) for Paucilactobacillus vaccinostercus from Microbeatlas

Aquatic Samples	795
Soil Samples	307
Animal Samples	4111
Plant Samples	398
Total Samples	5611

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
8980	1	Risk group (German classification) According to TRBA 466
123771	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	ASM143629v1 assembly for Paucilactobacillus vaccinostercus DSM 20634	scaffold	GCA_001436295	1423813.3	2660237943	1423813	62.55

16S sequences

@ref	Description	Accession	Length	NCBI tax ID
20218	Lactobacillus vaccinostercus gene for 16S rRNA, partial sequence, strain: NRIC 1075 (= ATCC 33310, = JCM 1716)	AB362703	1479	176291
20218	Lactobacillus vaccinostercus partial 16S rRNA gene, strain DSM 20634	AJ417735	508	176291
20218	Lactobacillus vaccinostercus partial 16S rRNA gene, strain type strain:DSM 20634	AM113786	1553	176291
20218	Lactobacillus vaccinostercus gene for 16S rRNA, partial sequence, strain: JCM 1716	AB289310	639	176291
20218	Lactobacillus vaccinostercus partial 16S rRNA gene, strain LMG 9215T	AJ621556	1529	176291
20218	Lactobacillus vaccinostercus strain LMG 9215 16S-23S ribosomal RNA intergenic spacer and 23S ribosomal RNA gene, partial sequence	EU161603	796	176291
20218	Lactobacillus vaccinostercus gene for 16S rRNA, partial sequence, strain:NRIC 1075	AB212087	1563	176291
67770	Lactobacillus vaccinostercus gene for 16S ribosomal RNA, partial sequence, strain: JCM 1716	LC071823	1504	176291

GC content

@ref	GC-content (mol%)	Method
8980	36.0
67770	43.9	genome sequence analysis
67770	36

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Paucilactobacillus vaccinostercus DSM 20634
NCBI: GCA_001436295

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	51.70	no
125439	motility	BacteriaNetⓘ	no	51.40	no
125439	gram_stain	BacteriaNetⓘ	positive	73.20	no
125439	oxygen_tolerance	BacteriaNetⓘ	microaerophile	95.40	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Lactobacillus vaccinostercus DSM 20634
PATRIC: 1423813.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	94.30	no
125438	anaerobic	anaerobicⓘ	no	64.72	yes
125438	spore-forming	spore-formingⓘ	no	82.11	no
125438	aerobic	aerobicⓘ	no	92.88	no
125438	thermophilic	thermophileⓘ	no	97.50	yes
125438	flagellated	motile2+ⓘ	no	90.50	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	Valorization of Xylose-Rich Medium from Cynara cardunculus Stalks for Lactic Acid Production via Microbial Fermentation.	Russo G, Gelosia M, Fabbrizi G, Angrisano M, Policastro G, Cavalaglio G.	Polymers (Basel)	10.3390/polym16243577	2024
	Application of Theiler's murine encephalomyelitis virus in treatment of multiple sclerosis.	Li L, Zhou R, Sun L.	Front Microbiol	10.3389/fmicb.2024.1415365	2024
	Bifidobacterium infantis and Bifidobacterium breve Improve Symptomatology and Neuronal Damage in Neurodegenerative Disease: A Systematic Review.	Reiriz M, Beltran-Velasco AI, Echeverry-Alzate V, Martinez-Miguel E, Gomez-Senent S, Uceda S, Clemente-Suarez VJ.	Nutrients	10.3390/nu17030391	2025
	Factors Associated With Short-Term Eradication of Rectal Colonization by KPC-2 Producing Klebsiella pneumoniae in an Outbreak Setting.	Pellice M, Rodriguez-Nunez O, Rico V, Aguero D, Morata L, Cardozo C, Puerta-Alcalde P, Garcia-Vidal C, Rubio E, Fernandez-Pittol MJ, Vergara A, Pitart C, Marco F, Santana G, Rodriguez-Serna L, Vilella A, Lopez E, Soriano A, Martinez JA, Del Rio A.	Front Microbiol	10.3389/fmicb.2021.630826	2021
	Potential Role of Probiotics for Inflammaging: A Narrative Review.	Jukic Peladic N, Dell'Aquila G, Carrieri B, Maggio M, Cherubini A, Orlandoni P.	Nutrients	10.3390/nu13092919	2021
	Probiotics Differently Affect Gut-Associated Lymphoid Tissue Indolamine-2,3-Dioxygenase mRNA and Cerebrospinal Fluid Neopterin Levels in Antiretroviral-Treated HIV-1 Infected Patients: A Pilot Study.	Scagnolari C, Corano Scheri G, Selvaggi C, Schietroma I, Najafi Fard S, Mastrangelo A, Giustini N, Serafino S, Pinacchio C, Pavone P, Fanello G, Ceccarelli G, Vullo V, d'Ettorre G.	Int J Mol Sci	10.3390/ijms17101639	2016
	High potency multistrain probiotic improves liver histology in non-alcoholic fatty liver disease (NAFLD): a randomised, double-blind, proof of concept study.	Duseja A, Acharya SK, Mehta M, Chhabra S, Shalimar, Rana S, Das A, Dattagupta S, Dhiman RK, Chawla YK.	BMJ Open Gastroenterol	10.1136/bmjgast-2019-000315	2019
Pathogenicity	A pilot study on the effects of probiotic supplementation on neuropsychological performance and microRNA-29a-c levels in antiretroviral-treated HIV-1-infected patients.	Ceccarelli G, Fratino M, Selvaggi C, Giustini N, Serafino S, Schietroma I, Corano Scheri G, Pavone P, Passavanti G, Alunni Fegatelli D, Mezzaroma I, Antonelli G, Vullo V, Scagnolari C, d'Ettorre G.	Brain Behav	10.1002/brb3.756	2017
	Impact of High-Dose Multi-Strain Probiotic Supplementation on Neurocognitive Performance and Central Nervous System Immune Activation of HIV-1 Infected Individuals.	Ceccarelli G, Brenchley JM, Cavallari EN, Scheri GC, Fratino M, Pinacchio C, Schietroma I, Fard SN, Scagnolari C, Mezzaroma I, Vullo V, d'Ettorre G.	Nutrients	10.3390/nu9111269	2017
	Effect of probiotic treatment on the clinical course, intestinal microbiome, and toxigenic Clostridium perfringens in dogs with acute hemorrhagic diarrhea.	Ziese AL, Suchodolski JS, Hartmann K, Busch K, Anderson A, Sarwar F, Sindern N, Unterer S.	PLoS One	10.1371/journal.pone.0204691	2018
	Effects of probiotics (Vivomixx®) in obese pregnant women and their newborn: study protocol for a randomized controlled trial.	Halkjaer SI, Nilas L, Carlsen EM, Cortes D, Halldorsson TI, Olsen SF, Pedersen AE, Krogfelt KA, Petersen AM.	Trials	10.1186/s13063-016-1617-5	2016
Metabolism	Host-probiotic interaction: new insight into the role of the endocannabinoid system by in vivo and ex vivo approaches.	Gioacchini G, Rossi G, Carnevali O.	Sci Rep	10.1038/s41598-017-01322-1	2017
Pathogenicity	Manipulation of Gut Microbiota Influences Immune Responses, Axon Preservation, and Motor Disability in a Model of Progressive Multiple Sclerosis.	Mestre L, Carrillo-Salinas FJ, Mecha M, Feliu A, Espejo C, Alvarez-Cermeno JC, Villar LM, Guaza C.	Front Immunol	10.3389/fimmu.2019.01374	2019
	Randomized, controlled trial evaluating the effect of multi-strain probiotic on the mucosal microbiota in canine idiopathic inflammatory bowel disease.	White R, Atherly T, Guard B, Rossi G, Wang C, Mosher C, Webb C, Hill S, Ackermann M, Sciabarra P, Allenspach K, Suchodolski J, Jergens AE.	Gut Microbes	10.1080/19490976.2017.1334754	2017
	Gut microbiota and old age: Modulating factors and interventions for healthy longevity.	Coman V, Vodnar DC.	Exp Gerontol	10.1016/j.exger.2020.111095	2020
	Adding rumen microorganisms to improve fermentation quality, enzymatic efficiency, and microbial communities of hybrid Pennisetum silage.	Zhou Y, Feng Q, Li Y, Qi Y, Yang F, Zhou J.	Bioresour Technol	10.1016/j.biortech.2024.131272	2024
	Optimization of a cultivation procedure to selectively isolate lactic acid bacteria from insects.	Gallus MK, Vogel RF, Ehrmann MA.	J Appl Microbiol	10.1111/jam.15427	2022
	Analysis of lactic acid bacteria species in Miang, a post-fermented tea in Thailand, and their potential use as probiotics.	Horie M, Ruengsomwong S, Ohmiya Y.	Front Microbiol	10.3389/fmicb.2024.1450158	2024
	Inoculation of Lactobacillus parafarraginis enhances silage quality, microbial community structure, and metabolic profiles in hybrid Pennisetum.	Liu Y, Ling W, Li Y, Zhou Y, Li J, Chen S, Zhou J, Yang F.	BMC Plant Biol	10.1186/s12870-025-06340-0	2025
	Microbial ecology of selected traditional Ethiopian fermented products.	Sanz-Lopez C, Amato M, Torrent D, Borrego M, Anza M, Bibiso M, Grijalva-Vallejos N, Vilanova C, Porcar M, Pascual J.	Front Microbiol	10.3389/fmicb.2025.1570914	2025
	The Potential of Co-Fermentation of Whole-Plant Cassava with Piper sarmentosum: A Comprehensive Study of Fermentation Quality, Antioxidant Activity, Bacterial Community Structure, and Microbial Ecological Networks in Novel Foods.	Li M, Lv R, Ou W, Chen S, Zhou H, Hou G, Zi X.	Foods	10.3390/foods13132126	2024
	Relationship between dynamic changes of microorganisms in Qupi and the quality formation of Fengxiangxing Huairang Daqu.	Cao D, Lv J, Chu J, Xu S, Jin C, Zhang Y, Zhang Y, Zhang W, Kang J.	Front Microbiol	10.3389/fmicb.2024.1435765	2024
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
	Phylogenomic and comparative genomic analyses of Leuconostocaceae species: identification of molecular signatures specific for the genera Leuconostoc, Fructobacillus and Oenococcus and proposal for a novel genus Periweissella gen. nov.	Bello S, Rudra B, Gupta RS.	Int J Syst Evol Microbiol	10.1099/ijsem.0.005284	2022
	Yeast strains do have an impact on the production of cured cocoa beans, as assessed with Costa Rican Trinitario cocoa fermentation processes and chocolates thereof.	Van de Voorde D, Diaz-Munoz C, Hernandez CE, Weckx S, De Vuyst L.	Front Microbiol	10.3389/fmicb.2023.1232323	2023
Phylogeny	Lactobacillus wasatchensis sp. nov., a non-starter lactic acid bacteria isolated from aged Cheddar cheese.	Oberg CJ, Oberg TS, Culumber MD, Ortakci F, Broadbent JR, McMahon DJ	Int J Syst Evol Microbiol	10.1099/ijsem.0.000689	2015
Phylogeny	Lactobacillus hokkaidonensis sp. nov., isolated from subarctic timothy grass (Phleum pratense L.) silage.	Tohno M, Kitahara M, Uegaki R, Irisawa T, Ohkuma M, Tajima K	Int J Syst Evol Microbiol	10.1099/ijs.0.047027-0	2012

References

#8980	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 20634
#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 )
#40458	; Curators of the CIP;
#50244	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 30723
#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 .
#123771	Collection of Institut Pasteur ; Curators of the CIP; CIP 102807
#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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Paucilactobacillus vaccinostercus (DSM 20634, ATCC 33310, LMG 9215)

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 source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_001436295

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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