Bifidobacterium margollesii (LMG 30296, CCUG 70959, JCM 32707)

Name: Bifidobacterium margollesii (LMG 30296, CCUG 70959, JCM 32707)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 157228

Type strain

Culture col. no. LMG 30296 CCUG 70959 JCM 32707

NCBI tax ID(s) 2020964

Special Collections CCUG JCM

History LMG 30296 <-- M. Ventura; Dept. of Chem., Univ. of Parma, Italy; Uis1B.

Links

Bifidobacterium margollesii LMG 30296 is an anaerobe bacterium that was isolated from Faeces,Callithrix pygmae.

anaerobe genome sequence Bacteria

Name and taxonomic classification

SI-ID 410749

LMG 30296,JCM 32707,CCUG 70959

@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 margollesii

Full scientific name Bifidobacterium margollesii Lugli et al. 2018

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	positive	96.7
125439		94.1
125438		91

Colony morphology

63768

Incubation period2 days

Culture and growth conditions

Culture temp

@ref	Growth	Type	Temperature (°C)
63768	positive	growth	37
67770	positive	growth	37

Physiology and metabolism

Oxygen tolerance

63768

Oxygen toleranceanaerobe

Isolation, sampling and environmental information

Isolation source categories

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

Isolation

@ref	Sample type	Sampling date	Geographic location	Country	Country ISO 3 Code	Continent	Host species
63768	Faeces,Callithrix pygmae	2014-09-14	Emilia Romagna,Parma	Italy	ITA	Europe
67770	Stool sample of a Pygmy marmoset (Callithrix pygmaea)			Italy	ITA	Europe	Callithrix pygmaea

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
67770	ASM286035v1 assembly for Bifidobacterium margollesii Uis1B	contig	GCA_002860355	2020964.6	2791355237	2020964	61.73

GC content

67770

GC-content (mol%)61.91

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Bifidobacterium margollesii Uis1B
NCBI: GCA_002860355

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	50.30	no
125439	motility	BacteriaNetⓘ	no	94.10	no
125439	gram_stain	BacteriaNetⓘ	positive	96.70	no
125439	oxygen_tolerance	BacteriaNetⓘ	anaerobe	81.50	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Bifidobacterium margollesii Uis1B
NCBI: GCA_002860355.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	88.06	no
125438	anaerobic	anaerobicⓘ	yes	70.63	yes
125438	aerobic	aerobicⓘ	no	86.53	no
125438	spore-forming	spore-formingⓘ	no	88.35	no
125438	thermophilic	thermophileⓘ	no	90.50	yes
125438	flagellated	motile2+ⓘ	no	91.00	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 )
#63768	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 70959
#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 margollesii (LMG 30296, CCUG 70959, JCM 32707)

Name and taxonomic classification

Morphology

Cell morphology

Colony morphology

Culture and growth conditions

Culture temp

Physiology and metabolism

Oxygen tolerance

Isolation, sampling and environmental information

Isolation source categories

Isolation

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_002860355

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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