Bifidobacterium mongoliense (DSM 21395, JCM 15461, YIT 10443)

Name: Bifidobacterium mongoliense (DSM 21395, JCM 15461, YIT 10443)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 1747

Type strain

Culture col. no. DSM 21395 JCM 15461 YIT 10443 KCTC 5848

NCBI tax ID(s) 1437603 518643

Special Collections DSMZ JCM KCTC Literature strains

Links

Bifidobacterium mongoliense DSM 21395 is an anaerobe, mesophilic, Gram-positive prokaryote that was isolated from airag, the Mongolian traditional beverage made of fermented mare's milk.

Gram-positive rod-shaped anaerobe mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 362775

DSM 21395,JCM 15461

@ref 20215

Last LPSN update 2025-12-16 09:47:10

Domain Bacillati

Phylum Actinomycetota

Class Actinomycetes

Order Bifidobacteriales

Family Bifidobacteriaceae

Genus Bifidobacterium

Species Bifidobacterium mongoliense

Full scientific name Bifidobacterium mongoliense Watanabe et al. 2009

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Motility	Confidence
29102	positive	1.4 µm	0.5 µm	rod-shaped
125438						94.5

Pigmentation

29102

Productionno

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
15674	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)	Range
15674	positive	growth	37	mesophilic
29102	positive	growth	15-35
29102	positive	optimum	27.5	mesophilic
67770	positive	growth	30	mesophilic

Culture pH

@ref	Ability	Type	PH
29102	positive	optimum	6.75
29102	positive	growth	4.5-8.0

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
15674	anaerobe
29102	facultative anaerobe
125439	obligate anaerobe	92.3

Spore formation

@ref	Spore formation	Confidence
29102
125438		90.103
125439		98.1

Murein

@ref	Murein short key	Type
15674	A11.31	A4alpha L-Lys-D-Asp

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
68371	27613 ChEBI	amygdalin	-	builds acid from	from API 50CH acid
29102	22599 ChEBI	arabinose	+	carbon source
68371	18305 ChEBI	arbutin	-	builds acid from	from API 50CH acid
29102	17057 ChEBI	cellobiose	+	carbon source
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	15824 ChEBI	D-fructose	-	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
29102	4853 ChEBI	esculin	+	hydrolysis
68371	4853 ChEBI	esculin	+	builds acid from	from API 50CH acid
68371	16813 ChEBI	galactitol	-	builds acid from	from API 50CH acid
29102	28260 ChEBI	galactose	+	carbon source
68371	28066 ChEBI	gentiobiose	+	builds acid from	from API 50CH acid
29102	24265 ChEBI	gluconate	+	carbon source
68371	24265 ChEBI	gluconate	-	builds acid from	from API 50CH acid
68371	17754 ChEBI	glycerol	-	builds acid from	from API 50CH acid
29102	28087 ChEBI	glycogen	+	carbon source
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
29102	17716 ChEBI	lactose	+	carbon source
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
29102	28053 ChEBI	melibiose	+	carbon source
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
29102	16634 ChEBI	raffinose	+	carbon source
68371	16634 ChEBI	raffinose	+	builds acid from	from API 50CH acid
68371	15963 ChEBI	ribitol	-	builds acid from	from API 50CH acid
29102	33942 ChEBI	ribose	+	carbon source
29102	17814 ChEBI	salicin	+	carbon source
68371	17814 ChEBI	salicin	-	builds acid from	from API 50CH acid
68371	28017 ChEBI	starch	-	builds acid from	from API 50CH acid
29102	17992 ChEBI	sucrose	+	carbon source
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	palmitate biosynthesis	100	22 of 22
66794	CDP-diacylglycerol biosynthesis	100	2 of 2
66794	adipate degradation	100	2 of 2
66794	cis-vaccenate biosynthesis	100	2 of 2
66794	UDP-GlcNAc biosynthesis	100	3 of 3
66794	anapleurotic synthesis of oxalacetate	100	1 of 1
66794	cardiolipin biosynthesis	100	7 of 7
66794	acetoin degradation	100	3 of 3
66794	ppGpp biosynthesis	100	4 of 4
66794	folate polyglutamylation	100	1 of 1
66794	acetate fermentation	100	4 of 4
66794	threonine metabolism	90	9 of 10
66794	chorismate metabolism	88.89	8 of 9
66794	aspartate and asparagine metabolism	88.89	8 of 9
66794	peptidoglycan biosynthesis	86.67	13 of 15
66794	photosynthesis	85.71	12 of 14
66794	vitamin B1 metabolism	84.62	11 of 13
66794	glycolate and glyoxylate degradation	83.33	5 of 6
66794	pentose phosphate pathway	81.82	9 of 11
66794	starch degradation	80	8 of 10
66794	glycogen metabolism	80	4 of 5
66794	valine metabolism	77.78	7 of 9
66794	serine metabolism	77.78	7 of 9
66794	glycogen biosynthesis	75	3 of 4
66794	ketogluconate metabolism	75	6 of 8
66794	C4 and CAM-carbon fixation	75	6 of 8
66794	sulfopterin metabolism	75	3 of 4
66794	metabolism of disaccharids	72.73	8 of 11
66794	NAD metabolism	72.22	13 of 18
66794	glycolysis	70.59	12 of 17
66794	phenylalanine metabolism	69.23	9 of 13
66794	glutamate and glutamine metabolism	67.86	19 of 28
66794	L-lactaldehyde degradation	66.67	2 of 3
66794	purine metabolism	65.96	62 of 94
66794	oxidative phosphorylation	62.64	57 of 91
66794	isoleucine metabolism	62.5	5 of 8
66794	6-hydroxymethyl-dihydropterin diphosphate biosynthesis	62.5	5 of 8
66794	gluconeogenesis	62.5	5 of 8
66794	degradation of sugar alcohols	62.5	10 of 16
66794	lipoate biosynthesis	60	3 of 5
66794	Entner Doudoroff pathway	60	6 of 10
66794	pyrimidine metabolism	60	27 of 45
66794	metabolism of amino sugars and derivatives	60	3 of 5
66794	methionine metabolism	57.69	15 of 26
66794	tetrahydrofolate metabolism	57.14	8 of 14
66794	CO2 fixation in Crenarchaeota	55.56	5 of 9
66794	cysteine metabolism	55.56	10 of 18
66794	d-mannose degradation	55.56	5 of 9
66794	histidine metabolism	55.17	16 of 29
66794	leucine metabolism	53.85	7 of 13
66794	degradation of pentoses	53.57	15 of 28
66794	tryptophan metabolism	52.63	20 of 38
66794	alanine metabolism	51.72	15 of 29
66794	mannosylglycerate biosynthesis	50	1 of 2
66794	ethanol fermentation	50	1 of 2
66794	arginine metabolism	50	12 of 24
66794	coenzyme A metabolism	50	2 of 4
66794	dTDPLrhamnose biosynthesis	50	4 of 8
66794	phenylmercury acetate degradation	50	1 of 2
66794	citric acid cycle	50	7 of 14
66794	butanoate fermentation	50	2 of 4
66794	proline metabolism	45.45	5 of 11
66794	d-xylose degradation	45.45	5 of 11
66794	degradation of hexoses	44.44	8 of 18
66794	propanol degradation	42.86	3 of 7
66794	tyrosine metabolism	42.86	6 of 14
66794	reductive acetyl coenzyme A pathway	42.86	3 of 7
66794	isoprenoid biosynthesis	42.31	11 of 26
66794	non-pathway related	42.11	16 of 38
66794	lysine metabolism	40.48	17 of 42
66794	glycine metabolism	40	4 of 10
66794	cellulose degradation	40	2 of 5
66794	propionate fermentation	40	4 of 10
66794	arachidonate biosynthesis	40	2 of 5
66794	methylglyoxal degradation	40	2 of 5
66794	lipid metabolism	38.71	12 of 31
66794	urea cycle	38.46	5 of 13
66794	vitamin B6 metabolism	36.36	4 of 11
66794	glutathione metabolism	35.71	5 of 14
66794	lipid A biosynthesis	33.33	3 of 9
66794	acetyl CoA biosynthesis	33.33	1 of 3
66794	degradation of aromatic, nitrogen containing compounds	33.33	4 of 12
66794	cyanate degradation	33.33	1 of 3
66794	IAA biosynthesis	33.33	1 of 3
66794	sphingosine metabolism	33.33	2 of 6
66794	formaldehyde oxidation	33.33	1 of 3
66794	octane oxidation	33.33	1 of 3
66794	sulfoquinovose degradation	33.33	1 of 3
66794	selenocysteine biosynthesis	33.33	2 of 6
66794	flavin biosynthesis	33.33	5 of 15
66794	myo-inositol biosynthesis	30	3 of 10
66794	4-hydroxyphenylacetate degradation	30	3 of 10
66794	mevalonate metabolism	28.57	2 of 7
66794	dolichyl-diphosphooligosaccharide biosynthesis	27.27	3 of 11
66794	polyamine pathway	26.09	6 of 23
66794	CMP-KDO biosynthesis	25	1 of 4
66794	cyclohexanol degradation	25	1 of 4
66794	lactate fermentation	25	1 of 4
66794	carnitine metabolism	25	2 of 8
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

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
15674	-	-	-	-	-	+	-	-	-	-	+	+	-	-	-	-	-	-	-	-	-	-	-	-	-	+	-	-	-	+	+	-	-	-	-	+	-	-	-	+	-	-	-	-	-	-	-	-	-	-

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Engineered	#Food production	#Dairy product
#Engineered	#Food production	#Fermented
#Engineered	#Food production	#Beverage

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
15674	airag, the Mongolian traditional beverage made of fermented mare's milk	Umnugobi province	Mongolia	MNG	Asia
67770	Airag, a traditional fermented mare's milk product from Mongolia

Taxonmaps

69479

Global distribution of 16S sequence LC483561 (>99% sequence identity) for Bifidobacterium mongoliense subclade from Microbeatlas

Aquatic Samples	1207
Soil Samples	737
Animal Samples	18560
Plant Samples	157
Total Samples	20661

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
15674	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	Bifmon assembly for Bifidobacterium mongoliense DSM 21395	contig	GCA_000741285	1437603.3	2597489915	1437603	68
67770	DSM-21395 assembly for Bifidobacterium mongoliense DSM 21395	contig	GCA_000771525	1437603.4	2695420510	1437603	66.37

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
15674	Bifidobacterium mongoliense gene for 16S rRNA, partial sequence, strain: YIT 10443 (= JCM 15461, = DSM 21395)	AB433856	1477		518643
67770	Bifidobacterium mongoliense gene for 16S ribosomal RNA, partial sequence	LC483561	1465		518643

GC content

@ref	GC-content (mol%)	Method
15674	61.1	high performance liquid chromatography (HPLC)
29102	61.1

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Bifidobacterium mongoliense DSM 21395
NCBI: GCA_000771525

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	98.10	no
125439	motility	BacteriaNetⓘ	yes	63.00	no
125439	gram_stain	BacteriaNetⓘ	positive	68.90	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate anaerobe	92.30	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Bifidobacterium mongoliense DSM 21395
PATRIC: 1437603.4

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	89.08	yes
125438	anaerobic	anaerobicⓘ	yes	56.12	no
125438	spore-forming	spore-formingⓘ	no	90.10	yes
125438	aerobic	aerobicⓘ	no	90.89	no
125438	thermophilic	thermophileⓘ	no	93.99	yes
125438	flagellated	motile2+ⓘ	no	94.50	yes

Literature

Topic	Title	Authors	Journal	DOI	Year
Genetics	From raw milk cheese to the gut: investigating the colonization strategies of Bifidobacterium mongoliense.	Longhi G, Lugli GA, Tarracchini C, Fontana F, Bianchi MG, Carli E, Bussolati O, van Sinderen D, Turroni F, Ventura M.	Appl Environ Microbiol	10.1128/aem.01244-24	2024
	Bifidobacterium mongoliense genome seems particularly adapted to milk oligosaccharide digestion leading to production of antivirulent metabolites.	Bondue P, Milani C, Arnould E, Ventura M, Daube G, LaPointe G, Delcenserie V.	BMC Microbiol	10.1186/s12866-020-01804-9	2020
	Predicting bacterial phenotypic traits through improved machine learning using high-quality, curated datasets	Koblitz J, Reimer L, Pukall R, Overmann J.	Commun Biol		2025
	Complete and Assembled Genome Sequence of Vagococcus teuberi DSM 21459T, a Novel Species Isolated from Fermented Cow Milk in Mali.	Stevens MJ, Inglin RC, Meile L.	Genome Announc	10.1128/genomea.01514-16	2017
	The human intestinal bacterium Eggerthella lenta influences gut metabolomes in gnotobiotic mice	Viehof A, Haange S, Streidl T, Schubert K, Engelmann B, Haller D, Rolle-Kampczyk U, von Bergen M, Clavel T.	Microbiome Res Rep		2024
	Novel leaderless bacteriocin geobacillin 6 from thermophilic bacterium Parageobacillus thermoglucosidasius.	Koniuchovaite A, Petkeviciute A, Bernotaite E, Gricajeva A, Gegeckas A, Kalediene L, Kaunietis A.	Front Microbiol	10.3389/fmicb.2023.1207367	2023
	Chemoenzymatic Synthesis of Tenofovir.	Zdun B, Reiter T, Kroutil W, Borowiecki P.	J Org Chem	10.1021/acs.joc.3c01005	2023
Enzymology	Detection and characterization of Bifidobacterium crudilactis and B. mongoliense able to grow during the manufacturing process of French raw milk cheeses.	Delcenserie V, Taminiau B, Gavini F, de Schaetzen MA, Cleenwerck I, Theves M, Mahieu M, Daube G.	BMC Microbiol	10.1186/1471-2180-13-239	2013
Metabolism	Cloning and expression of a novel alpha-galactosidase from Lactobacillus amylolyticus L6 with hydrolytic and transgalactosyl properties.	Fei Y, Jiao W, Wang Y, Liang J, Liu G, Li L.	PLoS One	10.1371/journal.pone.0235687	2020
Metabolism	Metabolism of Daidzein and Genistein by Gut Bacteria of the Class Coriobacteriia.	Soukup ST, Stoll DA, Danylec N, Schoepf A, Kulling SE, Huch M.	Foods	10.3390/foods10112741	2021
Metabolism	Increasing the transglycosylation activity of alpha-galactosidase from Bifidobacterium adolescentis DSM 20083 by site-directed mutagenesis.	Hinz SW, Doeswijk-Voragen CH, Schipperus R, van den Broek LA, Vincken JP, Voragen AG.	Biotechnol Bioeng	10.1002/bit.20713	2006
Metabolism	beta-galactosidase from Bifidobacterium adolescentis DSM20083 prefers beta(1,4)-galactosides over lactose.	Hinz SW, van den Brock LA, Beldman G, Vincken JP, Voragen AG.	Appl Microbiol Biotechnol	10.1007/s00253-004-1745-9	2004
	Comparative genomic analysis of 45 type strains of the genus Bifidobacterium: a snapshot of its genetic diversity and evolution.	Sun Z, Zhang W, Guo C, Yang X, Liu W, Wu Y, Song Y, Kwok LY, Cui Y, Menghe B, Yang R, Hu L, Zhang H.	PLoS One	10.1371/journal.pone.0117912	2015
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
	Gentle remediation options for soil with mixed chromium (VI) and lindane pollution: biostimulation, bioaugmentation, phytoremediation and vermiremediation.	Lacalle RG, Aparicio JD, Artetxe U, Urionabarrenetxea E, Polti MA, Soto M, Garbisu C, Becerril JM.	Heliyon	10.1016/j.heliyon.2020.e04550	2020
Phylogeny	Phylogenetic Analysis of the Bifidobacterium Genus Using Glycolysis Enzyme Sequences.	Brandt K, Barrangou R.	Front Microbiol	10.3389/fmicb.2016.00657	2016
Metabolism	The gut bacterium Extibacter muris produces secondary bile acids and influences liver physiology in gnotobiotic mice.	Streidl T, Karkossa I, Segura Munoz RR, Eberl C, Zaufel A, Plagge J, Schmaltz R, Schubert K, Basic M, Schneider KM, Afify M, Trautwein C, Tolba R, Stecher B, Doden HL, Ridlon JM, Ecker J, Moustafa T, von Bergen M, Ramer-Tait AE, Clavel T.	Gut Microbes	10.1080/19490976.2020.1854008	2021
Metabolism	Sucrose 6^F-phosphate phosphorylase: a novel insight in the human gut microbiome.	Tauzin AS, Bruel L, Laville E, Nicoletti C, Navarro D, Henrissat B, Perrier J, Potocki-Veronese G, Giardina T, Lafond M.	Microb Genom	10.1099/mgen.0.000253	2019
	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
	Valorization of waste forest biomass toward the production of cello-oligosaccharides with potential prebiotic activity by utilizing customized enzyme cocktails.	Karnaouri A, Matsakas L, Krikigianni E, Rova U, Christakopoulos P.	Biotechnol Biofuels	10.1186/s13068-019-1628-z	2019
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
Genetics	Revealing the Characteristics and Correlations Among Microbial Communities, Functional Genes, and Vital Metabolites Through Metagenomics in Henan Mung Bean Sour.	Wang X, Li Y, Zuo L, Li P, Lou H, Zhao R.	Microorganisms	10.3390/microorganisms13040845	2025
Genetics	Metagenome-assembled genomes for biomarkers of bio-functionalities in Laal dahi, an Indian ethnic fermented milk product.	Shangpliang HNJ, Tamang JP.	Int J Food Microbiol	10.1016/j.ijfoodmicro.2023.110300	2023
Genetics	Metagenomic Insights into the Taxonomic and Functional Features of Traditional Fermented Milk Products from Russia.	Elcheninov AG, Zayulina KS, Klyukina AA, Kremneva MK, Kublanov IV, Kochetkova TV.	Microorganisms	10.3390/microorganisms12010016	2023
	Quorum Sensing via Autoinducer-2 Promotes Colonisation and Host Adaptation in B. bifidum PRL2010.	Turroni F, Tarracchini C, Lugli GA, Vergna LM, Alessandri G, Rizzo SM, Bianchi MG, Coenye T, Selleri E, Bussolati O, van Sinderen D, Ventura M.	Microb Biotechnol	10.1111/1751-7915.70231	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
	Chitosan Oligosaccharide Ameliorates Metabolic Syndrome Induced by Overnutrition via Altering Intestinal Microbiota.	Wang Y, Liu S, Tang D, Dong R, Feng Q.	Front Nutr	10.3389/fnut.2021.743492	2021
	Diversity of the Microbiota of Traditional Izmir Tulum and Izmir Brined Tulum Cheeses and Selection of Potential Probiotics.	Guley Z, Fallico V, Cabrera-Rubio R, O'Sullivan D, Marotta M, Pennone V, Smith S, Beresford T.	Foods	10.3390/foods12183482	2023
Genetics	Seasonal and geographical impact on the Irish raw milk microbiota correlates with chemical composition and climatic variables.	Yap M, O'Sullivan O, O'Toole PW, Sheehan JJ, Fenelon MA, Cotter PD.	mSystems	10.1128/msystems.01290-23	2024
Genetics	Multifactorial Microvariability of the Italian Raw Milk Cheese Microbiota and Implication for Current Regulatory Scheme.	Fontana F, Longhi G, Alessandri G, Lugli GA, Mancabelli L, Tarracchini C, Viappiani A, Anzalone R, Ventura M, Turroni F, Milani C.	mSystems	10.1128/msystems.01068-22	2023
Genetics	Bifidobacterial Distribution Across Italian Cheeses Produced from Raw Milk.	Milani C, Alessandri G, Mancabelli L, Lugli GA, Longhi G, Anzalone R, Viappiani A, Duranti S, Turroni F, Ossiprandi MC, van Sinderen D, Ventura M.	Microorganisms	10.3390/microorganisms7120599	2019
Phylogeny	Colonization of the human gut by bovine bacteria present in Parmesan cheese.	Milani C, Duranti S, Napoli S, Alessandri G, Mancabelli L, Anzalone R, Longhi G, Viappiani A, Mangifesta M, Lugli GA, Bernasconi S, Ossiprandi MC, van Sinderen D, Ventura M, Turroni F.	Nat Commun	10.1038/s41467-019-09303-w	2019
	Donated Human Milk as a Determinant Factor for the Gut Bifidobacterial Ecology in Premature Babies.	Arboleya S, Saturio S, Suarez M, Fernandez N, Mancabelli L, de Los Reyes-Gavilan CG, Ventura M, Solis G, Gueimonde M.	Microorganisms	10.3390/microorganisms8050760	2020
	Strain-level screening of human gut microbes identifies Blautia producta as a new anti-hyperlipidemic probiotic.	Xu W, Yu J, Yang Y, Li Z, Zhang Y, Zhang F, Wang Q, Xie Y, Zhao B, Wu C.	Gut Microbes	10.1080/19490976.2023.2228045	2023
	Antiobesity, Antihyperglycemic, and Antidepressive Potentiality of Rice Fermented Food Through Modulation of Intestinal Microbiota.	Hor PK, Pal S, Mondal J, Halder SK, Ghosh K, Santra S, Ray M, Goswami D, Chakrabarti S, Singh S, Dwivedi SK, Tako M, Bera D, Mondal KC.	Front Microbiol	10.3389/fmicb.2022.794503	2022
	In Vitro Evaluation of Different Prebiotics on the Modulation of Gut Microbiota Composition and Function in Morbid Obese and Normal-Weight Subjects.	Nogacka AM, Salazar N, Arboleya S, Ruas-Madiedo P, Mancabelli L, Suarez A, Martinez-Faedo C, Ventura M, Tochio T, Hirano K, Endo A, G de Los Reyes-Gavilan C, Gueimonde M.	Int J Mol Sci	10.3390/ijms21030906	2020
Genetics	Fermented-Food Metagenomics Reveals Substrate-Associated Differences in Taxonomy and Health-Associated and Antibiotic Resistance Determinants.	Leech J, Cabrera-Rubio R, Walsh AM, Macori G, Walsh CJ, Barton W, Finnegan L, Crispie F, O'Sullivan O, Claesson MJ, Cotter PD.	mSystems	10.1128/msystems.00522-20	2020
Enzymology	The Sortase-Dependent Fimbriome of the Genus Bifidobacterium: Extracellular Structures with Potential To Modulate Microbe-Host Dialogue.	Milani C, Mangifesta M, Mancabelli L, Lugli GA, Mancino W, Viappiani A, Faccini A, van Sinderen D, Ventura M, Turroni F.	Appl Environ Microbiol	10.1128/aem.01295-17	2017
	Pyrosequencing analysis of the microbial diversity of airag, khoormog and tarag, traditional fermented dairy products of mongolia.	Oki K, Dugersuren J, Demberel S, Watanabe K.	Biosci Microbiota Food Health	10.12938/bmfh.33.53	2014
	Bifidobacteria exhibit social behavior through carbohydrate resource sharing in the gut.	Milani C, Lugli GA, Duranti S, Turroni F, Mancabelli L, Ferrario C, Mangifesta M, Hevia A, Viappiani A, Scholz M, Arioli S, Sanchez B, Lane J, Ward DV, Hickey R, Mora D, Segata N, Margolles A, van Sinderen D, Ventura M.	Sci Rep	10.1038/srep15782	2015
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
	Peptoniphilus genitalis sp. nov. and Mobiluncus massiliensis sp. nov.: Novel Bacteria Isolated from the Vaginal Microbiome.	Abou Chacra L, Bonnet M, Heredia M, Haddad G, Armstrong N, Alibar S, Bretelle F, Fenollar F.	Curr Microbiol	10.1007/s00284-023-03584-7	2024
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

#15674	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 21395
#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 )
#29102	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 #25531 (see below)
#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 mongoliense (DSM 21395, JCM 15461, YIT 10443)

Name and taxonomic classification

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Cell morphology

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Physiology and metabolism

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API 50CHac

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Genome browser: GCA_000741285

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