Bifidobacterium minimum (CCUG 34982, DSM 20102, ATCC 27538)

Name: Bifidobacterium minimum (CCUG 34982, DSM 20102, ATCC 27538)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 1712

Type strain

Strain Designation F392

Culture col. no. CCUG 34982 DSM 20102 ATCC 27538 F392 JCM 5821 4 more

NCBI tax ID(s) 1121109 1693

Special Collections DSMZ CCUG JCM KCTC

History <- V. Scardovi, F392 ATCC 27538 <-- V. Scardovi F392.

Links

Bifidobacterium minimum F392 is an anaerobe bacterium that was isolated from sewage.

anaerobe genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 9645

LMG 11592,ATCC 27538,CCUG 34982,DSM 20102,JCM 5821,CCRC 14666,KCTC 3273,AS 1.2233,KCTC 3467,BCRC 14666,CGMCC 1.2233

@ref 20215

Last LPSN update 2026-02-09 11:18:10

Domain Bacteria

Phylum Actinomycetota

Class Actinomycetes

Order Bifidobacteriales

Family Bifidobacteriaceae

Genus Bifidobacterium

Species Bifidobacterium minimum

Full scientific name Bifidobacterium minimum Biavati et al. 1982

Morphology

Cell morphology

@ref	Motility	Confidence
125438		94.5

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
8528	BIFIDOBACTERIUM MEDIUM (DSMZ Medium 58)		Medium recipe at MediaDive	Name: BIFIDOBACTERIUM MEDIUM (DSMZ Medium 58) Composition: Glucose 10.0 g/l Casein peptone 10.0 g/l Bacto Soytone 5.0 g/l Meat extract 5.0 g/l Yeast extract 5.0 g/l L-Cysteine HCl x H2O 0.5 g/l NaHCO3 0.4 g/l NaCl 0.08 g/l MnSO4 x H2O 0.05 g/l KH2PO4 0.04 g/l K2HPO4 0.04 g/l MgSO4 x 7 H2O 0.02 g/l CaCl2 x 2 H2O 0.01 g/l Tween 80 Resazurin Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
8528	positive	growth	37
52432	positive	growth	37
67770	positive	growth	37

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance
8528	anaerobe
52432	anaerobe

Spore formation

@ref	Spore formation	Confidence
125438		93.303
125439		98.1

Murein

@ref	Murein short key	Type
8528	A11.14	A3alpha L-Lys-L-Ser

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
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	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
68371	4853 ChEBI	esculin	-	builds acid from	from API 50CH acid
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
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
68371	17306 ChEBI	maltose	+	builds acid from	from API 50CH acid
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
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	adipate degradation	100	2 of 2
66794	acetate fermentation	100	4 of 4
66794	CDP-diacylglycerol biosynthesis	100	2 of 2
66794	UDP-GlcNAc biosynthesis	100	3 of 3
66794	folate polyglutamylation	100	1 of 1
66794	ppGpp biosynthesis	100	4 of 4
66794	anapleurotic synthesis of oxalacetate	100	1 of 1
66794	vitamin B1 metabolism	92.31	12 of 13
66794	starch degradation	90	9 of 10
66794	threonine metabolism	90	9 of 10
66794	chorismate metabolism	88.89	8 of 9
66794	peptidoglycan biosynthesis	86.67	13 of 15
66794	palmitate biosynthesis	86.36	19 of 22
66794	pentose phosphate pathway	81.82	9 of 11
66794	glycogen metabolism	80	4 of 5
66794	serine metabolism	77.78	7 of 9
66794	valine metabolism	77.78	7 of 9
66794	NAD metabolism	77.78	14 of 18
66794	isoleucine metabolism	75	6 of 8
66794	ketogluconate metabolism	75	6 of 8
66794	glycogen biosynthesis	75	3 of 4
66794	cardiolipin biosynthesis	71.43	5 of 7
66794	photosynthesis	71.43	10 of 14
66794	phenylalanine metabolism	69.23	9 of 13
66794	glutamate and glutamine metabolism	67.86	19 of 28
66794	acetoin degradation	66.67	2 of 3
66794	lipoate biosynthesis	60	3 of 5
66794	alanine metabolism	58.62	17 of 29
66794	tetrahydrofolate metabolism	57.14	8 of 14
66794	purine metabolism	56.38	53 of 94
66794	oxidative phosphorylation	56.04	51 of 91
66794	d-mannose degradation	55.56	5 of 9
66794	CO2 fixation in Crenarchaeota	55.56	5 of 9
66794	cysteine metabolism	55.56	10 of 18
66794	metabolism of disaccharids	54.55	6 of 11
66794	urea cycle	53.85	7 of 13
66794	degradation of pentoses	53.57	15 of 28
66794	glycolysis	52.94	9 of 17
66794	histidine metabolism	51.72	15 of 29
66794	degradation of sugar alcohols	50	8 of 16
66794	cis-vaccenate biosynthesis	50	1 of 2
66794	methionine metabolism	50	13 of 26
66794	ethanol fermentation	50	1 of 2
66794	C4 and CAM-carbon fixation	50	4 of 8
66794	Entner Doudoroff pathway	50	5 of 10
66794	glycine metabolism	50	5 of 10
66794	glycolate and glyoxylate degradation	50	3 of 6
66794	coenzyme A metabolism	50	2 of 4
66794	butanoate fermentation	50	2 of 4
66794	sulfopterin metabolism	50	2 of 4
66794	suberin monomers biosynthesis	50	1 of 2
66794	mannosylglycerate biosynthesis	50	1 of 2
66794	lipid metabolism	48.39	15 of 31
66794	pyrimidine metabolism	46.67	21 of 45
66794	vitamin B6 metabolism	45.45	5 of 11
66794	d-xylose degradation	45.45	5 of 11
66794	proline metabolism	45.45	5 of 11
66794	glutathione metabolism	42.86	6 of 14
66794	tyrosine metabolism	42.86	6 of 14
66794	citric acid cycle	42.86	6 of 14
66794	propanol degradation	42.86	3 of 7
66794	tryptophan metabolism	42.11	16 of 38
66794	arginine metabolism	41.67	10 of 24
66794	degradation of aromatic, nitrogen containing compounds	41.67	5 of 12
66794	4-hydroxyphenylacetate degradation	40	4 of 10
66794	isoprenoid biosynthesis	38.46	10 of 26
66794	lysine metabolism	38.1	16 of 42
66794	gluconeogenesis	37.5	3 of 8
66794	dTDPLrhamnose biosynthesis	37.5	3 of 8
66794	non-pathway related	34.21	13 of 38
66794	acetyl CoA biosynthesis	33.33	1 of 3
66794	lipid A biosynthesis	33.33	3 of 9
66794	cyanate degradation	33.33	1 of 3
66794	enterobactin biosynthesis	33.33	1 of 3
66794	IAA biosynthesis	33.33	1 of 3
66794	sphingosine metabolism	33.33	2 of 6
66794	aspartate and asparagine metabolism	33.33	3 of 9
66794	flavin biosynthesis	33.33	5 of 15
66794	L-lactaldehyde degradation	33.33	1 of 3
66794	octane oxidation	33.33	1 of 3
66794	formaldehyde oxidation	33.33	1 of 3
66794	leucine metabolism	30.77	4 of 13
66794	propionate fermentation	30	3 of 10
66794	reductive acetyl coenzyme A pathway	28.57	2 of 7
66794	benzoyl-CoA degradation	28.57	2 of 7
66794	degradation of hexoses	27.78	5 of 18
66794	androgen and estrogen metabolism	25	4 of 16
66794	lactate fermentation	25	1 of 4
66794	cyclohexanol degradation	25	1 of 4
66794	toluene degradation	25	1 of 4
66794	carnitine metabolism	25	2 of 8
66794	CMP-KDO biosynthesis	25	1 of 4
66794	sulfate reduction	23.08	3 of 13
66794	arachidonic acid metabolism	22.22	4 of 18
66794	nitrate assimilation	22.22	2 of 9

Fatty acid profile

Metadata FA analysis

@ref

52432

Fatty acid	Percentage	ECL
C16:0	35	16
C18:1 ω9c	17.3	17.769
C14:0	7.6	14
C18:0	6.3	18
Unidentified	5.7	18.219
C19:0 CYCLO ω9c	5.6	18.87
C16:1 ω9c	4.7	15.774
C18:2 ω6,9c/C18:0 ANTE	4.7	17.724
Unidentified	4.1	19.318
C12:0	1.7	12
C17:0 iso 3OH	1.4	18.161
C13:0 3OH/C15:1 i I/H	1.4	14.469
C16:1 ω7c	0.9	15.819
C17:1 ω9c	0.9	16.773
C16:0 3OH	0.9	17.52
C17:1 ω5c ISO	0.6	16.461
C19:1 ISO I	0.5	18.473
C10:0	0.5	10
C13:1 at 12-13	0.4	12.931

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
8528	-	-	-	-	-	-	-	-	-	-	-	+	+/-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	+	-	-	-	-	-	-	-	+	+	-	-	+	-	-	-	-	-	-	-	-	-

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Engineered	#Waste	#Wastewater

Isolation

@ref	Sample type
8528	sewage
52432	Sewage
67770	Sewage

Taxonmaps

69479

Global distribution of 16S sequence LC071835 (>99% sequence identity) for Bifidobacterium minimum subclade from Microbeatlas

Aquatic Samples	472
Soil Samples	215
Animal Samples	9131
Plant Samples	98
Total Samples	9916

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
8528	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
67770	ASM42168v1 assembly for Bifidobacterium minimum DSM 20102	contig	GCA_000421685	1121109.3	2524023146	1121109	70.23
67770	Bifmin assembly for Bifidobacterium minimum LMG 11592	contig	GCA_000741645	1693.3	2597490263	1693	69.6
67770	DSM-20102 assembly for Bifidobacterium minimum DSM 20102	contig	GCA_000771245	1121109.4	2690316073	1121109	60.64

16S sequences

@ref	Description	Accession	Length	NCBI tax ID
20218	Bifidobacterium minimum strain ATCC 27538 16S ribosomal RNA gene, partial sequence	M58741	1470	1693
20218	Bifidobacterium minimum strain DSM 20102 16S ribosomal RNA gene, partial sequence	GQ487640	134	1693
20218	Bifidobacterium minimum gene for 16S rRNA, partial sequence, strain: JCM 5821	AB116326	475	1693
20218	Bifidobacterium minimum gene for 16S rRNA, partial sequence, strain: JCM 5821	AB507130	613	1693
20218	Bifidobacterium minimum strain KCTC 3273 16S ribosomal RNA gene, partial sequence	GU361826	1476	1693
20218	Bifidobacterium minimum strain LMG11592 16S ribosomal RNA gene and 16S-23S ribosomal RNA intergenic spacer, partial sequence	FJ231743	846	1693
67770	Bifidobacterium minimum gene for 16S ribosomal RNA, partial sequence, strain: YIT 4097	AB437350	1505	1693
67770	Bifidobacterium minimum gene for 16S ribosomal RNA, partial sequence, strain: JCM 5821	LC071835	1422	1693

GC content

@ref	GC-content (mol%)	Method
8528	61.6
67770	61.6	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: Bifidobacterium minimum DSM 20102
NCBI: GCA_000421685

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	anaerobe	88.20	no
125439	gram_stain	BacteriaNetⓘ	negative	85.50	no
125439	motility	BacteriaNetⓘ	yes	65.40	no
125439	spore_formation	BacteriaNetⓘ	no	98.10	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Bifidobacterium minimum DSM 20102
PATRIC: 1121109.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	87.34	no
125438	anaerobic	anaerobicⓘ	yes	73.20	no
125438	spore-forming	spore-formingⓘ	no	93.30	no
125438	aerobic	aerobicⓘ	no	91.35	no
125438	thermophilic	thermophileⓘ	no	93.50	yes
125438	flagellated	motile2+ⓘ	no	94.50	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Metabolism	Diversity, ecology and intestinal function of bifidobacteria.	Bottacini F, Ventura M, van Sinderen D, O'Connell Motherway M.	Microb Cell Fact	10.1186/1475-2859-13-s1-s4	2014
	Designing primers and evaluation of the efficiency of propidium monoazide - Quantitative polymerase chain reaction for counting the viable cells of Lactobacillus gasseri and Lactobacillus salivarius.	Lai CH, Wu SR, Pang JC, Ramireddy L, Chiang YC, Lin CK, Tsen HY.	J Food Drug Anal	10.1016/j.jfda.2016.10.004	2017
	Relationships among host genetics, gut microbiota, and asthma in US Hispanic/Latino adults.	Stanislawski MA, Litkowski E, Arehart CH, Luo K, Gilmore N, Lange LA, Lange EM, Barnes K, Avery CL, Meyer KA, Holguin F, North KE, Burk RD, Kaplan RC.	Nat Commun	10.1038/s41467-025-65028-z	2025
Genetics	Fermentation of enset (Ensete ventricosum) in the Gamo highlands of Ethiopia: Physicochemical and microbial community dynamics.	Andeta AF, Vandeweyer D, Woldesenbet F, Eshetu F, Hailemicael A, Woldeyes F, Crauwels S, Lievens B, Ceusters J, Vancampenhout K, Van Campenhout L.	Food Microbiol	10.1016/j.fm.2018.02.011	2018
	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
	Health benefits, antimicrobial activities, and potential applications of probiotics: A review.	Sepehr A, Miri ST, Aghamohammad S, Rahimirad N, Milani M, Pourshafie MR, Rohani M.	Medicine (Baltimore)	10.1097/md.0000000000032412	2024
Genetics	Host-Diet Effect on the Metabolism of Bifidobacterium.	Satti M, Modesto M, Endo A, Kawashima T, Mattarelli P, Arita M.	Genes (Basel)	10.3390/genes12040609	2021
Metabolism	O₂-inducible H₂O₂-forming NADPH oxidase is responsible for the hyper O₂ sensitivity of Bifidobacterium longum subsp. infantis.	Tanaka K, Satoh T, Kitahara J, Uno S, Nomura I, Kano Y, Suzuki T, Niimura Y, Kawasaki S.	Sci Rep	10.1038/s41598-018-29030-4	2018
Phylogeny	Compositional and Functional Characteristics of Swine Slurry Microbes through 16S rRNA Metagenomic Sequencing Approach.	Kumar H, Jang YN, Kim K, Park J, Jung MW, Park JE.	Animals (Basel)	10.3390/ani10081372	2020
Phylogeny	Investigation of the evolutionary development of the genus Bifidobacterium by comparative genomics.	Lugli GA, Milani C, Turroni F, Duranti S, Ferrario C, Viappiani A, Mancabelli L, Mangifesta M, Taminiau B, Delcenserie V, van Sinderen D, Ventura M.	Appl Environ Microbiol	10.1128/aem.02004-14	2014
	Occurrence and Diversity of CRISPR-Cas Systems in the Genus Bifidobacterium.	Briner AE, Lugli GA, Milani C, Duranti S, Turroni F, Gueimonde M, Margolles A, van Sinderen D, Ventura M, Barrangou R.	PLoS One	10.1371/journal.pone.0133661	2015
Phylogeny	Phylogenetic Analysis of the Bifidobacterium Genus Using Glycolysis Enzyme Sequences.	Brandt K, Barrangou R.	Front Microbiol	10.3389/fmicb.2016.00657	2016
	Exploring the Bacterial Microbiota of Colombian Fermented Maize Dough "Masa Agria" (Maiz Añejo).	Chaves-Lopez C, Serio A, Delgado-Ospina J, Rossi C, Grande-Tovar CD, Paparella A.	Front Microbiol	10.3389/fmicb.2016.01168	2016
	Identification of the bacterial community responsible for traditional fermentation during sour cassava starch, cachaça and minas cheese production using culture-independent 16s rRNA gene sequence analysis.	Lacerda IC, Gomes FC, Borelli BM, Faria CL, Franco GR, Mourao MM, Morais PB, Rosa CA.	Braz J Microbiol	10.1590/s1517-838220110002000029	2011
Metabolism	Genomic characterization and transcriptional studies of the starch-utilizing strain Bifidobacterium adolescentis 22L.	Duranti S, Turroni F, Lugli GA, Milani C, Viappiani A, Mangifesta M, Gioiosa L, Palanza P, van Sinderen D, Ventura M.	Appl Environ Microbiol	10.1128/aem.01993-14	2014
Phylogeny	Exploring the diversity of the bifidobacterial population in the human intestinal tract.	Turroni F, Foroni E, Pizzetti P, Giubellini V, Ribbera A, Merusi P, Cagnasso P, Bizzarri B, de'Angelis GL, Shanahan F, van Sinderen D, Ventura M.	Appl Environ Microbiol	10.1128/aem.02216-08	2009
	Genomic diversity and relatedness of bifidobacteria isolated from a porcine cecum.	Simpson PJ, Stanton C, Fitzgerald GF, Ross RP.	J Bacteriol	10.1128/jb.185.8.2571-2581.2003	2003
Biotechnology	Microbial community dynamics during production of the Mexican fermented maize dough pozol.	ben Omar N, Ampe F.	Appl Environ Microbiol	10.1128/aem.66.9.3664-3673.2000	2000
Genetics	Genome-Based Taxonomic Classification of the Phylum Actinobacteria.	Nouioui I, Carro L, Garcia-Lopez M, Meier-Kolthoff JP, Woyke T, Kyrpides NC, Pukall R, Klenk HP, Goodfellow M, Goker M.	Front Microbiol	10.3389/fmicb.2018.02007	2018
Phylogeny	Bifidobacterium mongoliense sp. nov., from airag, a traditional fermented mare's milk product from Mongolia.	Watanabe K, Makino H, Sasamoto M, Kudo Y, Fujimoto J, Demberel S.	Int J Syst Evol Microbiol	10.1099/ijs.0.006247-0	2009

References

#8528	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 20102
#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 )
#52432	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 34982
#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;
#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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Bifidobacterium minimum (CCUG 34982, DSM 20102, ATCC 27538)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Murein

Metabolite utilization

Pathway annotation

Fatty acid profile

API 50CHac

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_000421685

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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