Bifidobacterium criceti (LMG 30188, CCUG 70962, JCM 32704)

Name: Bifidobacterium criceti (LMG 30188, CCUG 70962, JCM 32704)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 157231

Type strain

Culture col. no. LMG 30188 CCUG 70962 JCM 32704

NCBI tax ID(s) 1960969

Special Collections CCUG JCM

History LMG 30188 <-- M. Ventura; Dept. of Chem., Univ. of Parma, Italy; Ham19E.

Links

Bifidobacterium criceti LMG 30188 is an anaerobe bacterium that was isolated from Faeces,Cricetus cricetus.

anaerobe genome sequence Bacteria

Name and taxonomic classification

SI-ID 409207

LMG 30188,JCM 32704,CCUG 70962

@ref 20215

Last LPSN update 2026-02-09 11:38:01

Domain Bacteria

Phylum Actinomycetota

Class Actinomycetes

Order Bifidobacteriales

Family Bifidobacteriaceae

Genus Bifidobacterium

Species Bifidobacterium criceti

Full scientific name Bifidobacterium criceti Lugli et al. 2018

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	positive	93.5
125439		90.1
125438		94

Colony morphology

63771

Incubation period2 days

Culture and growth conditions

Culture temp

@ref	Growth	Type	Temperature (°C)
63771	positive	growth	37
67770	positive	growth	37

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
63771	anaerobe
125439	anaerobe	97.2

Spore formation

@ref	Spore formation	Confidence
125439		95.8

Pathway annotation

Computationally determined by

@ref	pathway	enzyme coverage	annotated reactions
66794	CDP-diacylglycerol biosynthesis	100	2 of 2
66794	ppGpp biosynthesis	100	4 of 4
66794	anapleurotic synthesis of oxalacetate	100	1 of 1
66794	UDP-GlcNAc biosynthesis	100	3 of 3
66794	folate polyglutamylation	100	1 of 1
66794	cardiolipin biosynthesis	100	7 of 7
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	photosynthesis	85.71	12 of 14
66794	pentose phosphate pathway	81.82	9 of 11
66794	glycogen metabolism	80	4 of 5
66794	cellulose degradation	80	4 of 5
66794	valine metabolism	77.78	7 of 9
66794	serine metabolism	77.78	7 of 9
66794	acetate fermentation	75	3 of 4
66794	C4 and CAM-carbon fixation	75	6 of 8
66794	glycogen biosynthesis	75	3 of 4
66794	sulfopterin metabolism	75	3 of 4
66794	NAD metabolism	72.22	13 of 18
66794	phenylalanine metabolism	69.23	9 of 13
66794	glycolate and glyoxylate degradation	66.67	4 of 6
66794	L-lactaldehyde degradation	66.67	2 of 3
66794	acetoin degradation	66.67	2 of 3
66794	octane oxidation	66.67	2 of 3
66794	formaldehyde oxidation	66.67	2 of 3
66794	IAA biosynthesis	66.67	2 of 3
66794	aspartate and asparagine metabolism	66.67	6 of 9
66794	purine metabolism	63.83	60 of 94
66794	d-xylose degradation	63.64	7 of 11
66794	gluconeogenesis	62.5	5 of 8
66794	isoleucine metabolism	62.5	5 of 8
66794	dTDPLrhamnose biosynthesis	62.5	5 of 8
66794	ketogluconate metabolism	62.5	5 of 8
66794	glutamate and glutamine metabolism	60.71	17 of 28
66794	glycolysis	58.82	10 of 17
66794	pyrimidine metabolism	57.78	26 of 45
66794	methionine metabolism	57.69	15 of 26
66794	citric acid cycle	57.14	8 of 14
66794	d-mannose degradation	55.56	5 of 9
66794	histidine metabolism	55.17	16 of 29
66794	metabolism of disaccharids	54.55	6 of 11
66794	oxidative phosphorylation	53.85	49 of 91
66794	degradation of pentoses	53.57	15 of 28
66794	butanoate fermentation	50	2 of 4
66794	Entner Doudoroff pathway	50	5 of 10
66794	cis-vaccenate biosynthesis	50	1 of 2
66794	ethanol fermentation	50	1 of 2
66794	adipate degradation	50	1 of 2
66794	coenzyme A metabolism	50	2 of 4
66794	isoprenoid biosynthesis	50	13 of 26
66794	cysteine metabolism	50	9 of 18
66794	mannosylglycerate biosynthesis	50	1 of 2
66794	tetrahydrofolate metabolism	50	7 of 14
66794	alanine metabolism	48.28	14 of 29
66794	leucine metabolism	46.15	6 of 13
66794	proline metabolism	45.45	5 of 11
66794	vitamin B6 metabolism	45.45	5 of 11
66794	lipid metabolism	45.16	14 of 31
66794	non-pathway related	44.74	17 of 38
66794	tryptophan metabolism	44.74	17 of 38
66794	CO2 fixation in Crenarchaeota	44.44	4 of 9
66794	propanol degradation	42.86	3 of 7
66794	reductive acetyl coenzyme A pathway	42.86	3 of 7
66794	tyrosine metabolism	42.86	6 of 14
66794	arginine metabolism	41.67	10 of 24
66794	lipoate biosynthesis	40	2 of 5
66794	propionate fermentation	40	4 of 10
66794	glycine metabolism	40	4 of 10
66794	lysine metabolism	38.1	16 of 42
66794	6-hydroxymethyl-dihydropterin diphosphate biosynthesis	37.5	3 of 8
66794	glutathione metabolism	35.71	5 of 14
66794	cyanate degradation	33.33	1 of 3
66794	acetyl CoA biosynthesis	33.33	1 of 3
66794	sulfoquinovose degradation	33.33	1 of 3
66794	selenocysteine biosynthesis	33.33	2 of 6
66794	degradation of aromatic, nitrogen containing compounds	33.33	4 of 12
66794	sphingosine metabolism	33.33	2 of 6
66794	flavin biosynthesis	33.33	5 of 15
66794	lipid A biosynthesis	33.33	3 of 9
66794	degradation of hexoses	33.33	6 of 18
66794	degradation of sugar alcohols	31.25	5 of 16
66794	urea cycle	30.77	4 of 13
66794	4-hydroxyphenylacetate degradation	30	3 of 10
66794	myo-inositol biosynthesis	30	3 of 10
66794	lactate fermentation	25	1 of 4
66794	cyclohexanol degradation	25	1 of 4
66794	carnitine metabolism	25	2 of 8
66794	CMP-KDO biosynthesis	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

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host	#Mammals	#Rodentia (Other)
#Host Body Product	#Gastrointestinal tract	#Feces (Stool)

Isolation

@ref	Sample type	Sampling date	Geographic location	Country	Country ISO 3 Code	Continent	Host species
63771	Faeces,Cricetus cricetus	2013-05-03	Emilia Romagna,Parma	Italy	ITA	Europe
67770	Stool sample of a European hamster (Cricetus cricetus)			Italy	ITA	Europe	Cricetus cricetus

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
67770	ASM228693v1 assembly for Bifidobacterium criceti Ham19E	contig	GCA_002286935	1960969.3	2865936288	1960969	72.3

GC content

67770

GC-content (mol%)62.53

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Bifidobacterium criceti Ham19E
NCBI: GCA_002286935

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	95.80	no
125439	motility	BacteriaNetⓘ	no	90.10	no
125439	gram_stain	BacteriaNetⓘ	positive	93.50	no
125439	oxygen_tolerance	BacteriaNetⓘ	anaerobe	97.20	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Bifidobacterium criceti Ham19E
NCBI: GCA_002286935.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	86.91	no
125438	anaerobic	anaerobicⓘ	yes	85.50	no
125438	aerobic	aerobicⓘ	no	93.17	no
125438	spore-forming	spore-formingⓘ	no	87.87	no
125438	thermophilic	thermophileⓘ	no	93.50	yes
125438	flagellated	motile2+ⓘ	no	94.00	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Phylogenetic classification of six novel species belonging to the genus Bifidobacterium comprising Bifidobacterium anseris sp. nov., Bifidobacterium criceti sp. nov., Bifidobacterium imperatoris sp. nov., Bifidobacterium italicum sp. nov., Bifidobacterium margollesii sp. nov. and Bifidobacterium parmae sp. nov.	Lugli GA, Mangifesta M, Duranti S, Anzalone R, Milani C, Mancabelli L, Alessandri G, Turroni F, Ossiprandi MC, van Sinderen D, Ventura M	Syst Appl Microbiol	10.1016/j.syapm.2018.01.002	2018

References

#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 )
#63771	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 70962
#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;
#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 criceti (LMG 30188, CCUG 70962, JCM 32704)

Name and taxonomic classification

Morphology

Cell morphology

Colony morphology

Culture and growth conditions

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Pathway annotation

Isolation, sampling and environmental information

Isolation source categories

Isolation

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_002286935

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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