Name: Murdochiella vaginalis DSM 102237
Creator: BacDive
License: https://creativecommons.org/licenses/by/4.0/

Strain identifier

BacDive ID: 159653

Type strain:

Species: Murdochiella vaginalis

Culture col. no.: DSM 102237, CSUR P2341, Marseille-P2341

Strain history: <- F. Cadoret, CHU Hopital de la Timone, Fédération de Bactériologie Virologie Hygiène Hospitalière; Marseille-P2341

NCBI tax ID(s): 1852373 (species)

SI-ID 401481

DSM 102237

Special Collections

DSMZ

Section

When using BacDive for research please cite our paper

Murdochiella vaginalis DSM 102237 is a mesophilic bacterium that was isolated from vaginal sample from patient.

mesophilic
16S sequence
Bacteria
genome sequence

Information on the name and the taxonomic classification. Name and taxonomic classification

	Last LPSN update	09-12-2024 (DD-MM-YYYY)
	Domain	*Bacteria*
	Phylum	*Bacillota*
	Class	*Clostridia*
	Order	*Eubacteriales*
	Family	*Peptoniphilaceae*
	Genus	*Murdochiella*
	Species	**Murdochiella vaginalis**
	Full Scientific Name (LPSN)	Murdochiella vaginalis Diop et al. 2018

Information on morphological and physiological properties Morphology

[Ref.: #125438]	Motility	no Confidence in %91.355

Information on culture and growth conditions Culture and growth conditions

[Ref.: #66503]

Culture medium

CMC MEDIUM (N2/CO2) (DSMZ Medium 110a)

[Ref.: #66503]

Culture medium growth

[Ref.: #66503]

Culture medium link

Medium recipe at MediaDive

[Ref.: #66503]

Culture medium composition

expand / minimize

[Ref.: #66503]

Culture medium

COLUMBIA BLOOD MEDIUM (DSMZ Medium 693)

[Ref.: #66503]

Culture medium growth

[Ref.: #66503]

Culture medium link

Medium recipe at MediaDive

[Ref.: #66503]

Culture medium composition

expand / minimize

	Temperatures	Kind of temperature		Temperature
[Ref.: #66503]			growth	37 °C

Information on physiology and metabolism Physiology and metabolism

[Ref.: #125438]

Oxygen tolerance

anaerobe Confidence in %90.77

Information on isolation source, the sampling and environmental conditions Isolation, sampling and environmental information

[Ref.: #66503]	Sample type/isolated from	vaginal sample from patient
[Ref.: #66503]	Geographic location (country and/or sea, region)	Marseille, Timone Hospital
[Ref.: #66503]	Country	France
[Ref.: #66503]	Country ISO 3 Code	FRA
[Ref.: #66503]	Continent	Europe
* marker position based on {}

Isolation sources categories

#Infection	#Patient	-
#Host Body-Site	#Urogenital tract	#Vagina
#Host	#Human	#Female

What are isolation sources categories?

[Ref.: #69479]

Global distribution of 16S sequence LT576397 (>99% sequence identity) for Murdochiella vaginalis from Microbeatlas

Aquatic Samples	63
Soil Samples	28
Animal Samples	3622
Plant Samples	2
Total Samples	3715

Information on genomic background e.g. entries in nucleic sequence databass Sequence information

16S Sequence information:

	Sequence accession description	Seq. accession number	Sequence length (bp)	Sequence database	Associated NCBI tax ID
[Ref.: #66503]	Murdochiella sp. Marseille-P2341 partial 16S rRNA gene, strain Marseille-P2341	LT576397	1488	GenBank ENA	1852373 tax ID

Genome sequence information:

	Sequence accession description	Seq. accession number	Assembly level	Sequence database	Associated NCBI tax ID
[Ref.: #66792]	Murdochiella vaginalis Marseille-P2341T	GCA_900119705	complete	GenBank ENA	1852373 tax ID	*
[Ref.: #66792]	Murdochiella vaginalis Marseille-P2341	2751185704	complete	JGI IMG/M	1852373 tax ID	*

[Ref.: #66503]

GC-content

49.5 mol%

sequence analysis

Data predicted using genome information as a basis Genome-based predictions

	Model	Trait	Prediction	Confidence in %	In training data
	Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Murdochiella vaginalis Marseille-P2341 NCBI: GCA_900119705.1
[Ref.: #125438]	gram-positive	gram-positiveⓘ	yes	79.008	no
[Ref.: #125438]	anaerobic	anaerobicⓘ	yes	90.77	no
[Ref.: #125438]	aerobic	aerobicⓘ	no	97.38	no
[Ref.: #125438]	spore-forming	spore-formingⓘ	no	77.969	no
[Ref.: #125438]	thermophile	thermophilicⓘ	no	93.894	yes
[Ref.: #125438]	motile2+	flagellatedⓘ	no	91.355	no

	Model	Trait	Prediction	Confidence in %
	Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Murdochiella vaginalis Marseille-P2341T NCBI: GCA_900119705
[Ref.: #125439]	BacteriaNet	spore_formationⓘ	no	54.1
[Ref.: #125439]	BacteriaNet	motilityⓘ	yes	54.3
[Ref.: #125439]	BacteriaNet	gram_stainⓘ	variable	76.1
[Ref.: #125439]	BacteriaNet	oxygen_toleranceⓘ	anaerobe	86.9

Availability in culture collections External links

[Ref.: #66503]

Culture collection no.

DSM 102237, CSUR P2341, Marseille-P2341

[Ref.: #112127]

SI-ID 401481

Literature:

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Characterization of a novel Gram-stain-positive anaerobic coccus isolated from the female genital tract: Genome sequence and description of Murdochiella vaginalis sp. nov.	Diop K, Diop A, Khelaifia S, Robert C, Pinto FD, Delerce J, Raoult D, Fournier PE, Bretelle F, Fenollar F	Microbiologyopen	10.1002/mbo3.570	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 )

#66503

Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 102237

#66792

Julia Koblitz, Joaquim Sardà, Lorenz Christian Reimer, Boyke Bunk, Jörg Overmann: Automatically annotated for the DiASPora project (Digital Approaches for the Synthesis of Poorly Accessible Biodiversity Information) .

#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 .

#112127

Reimer, L.C., Lissin, A.,Schober, I., Witte,J.F., Podstawka, A., Lüken, H., Bunk, B.,Overmann, J.: StrainInfo: A central database for resolving microbial strain identifiers . ( DOI 10.60712/SI-ID401481.1 )

#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 .

* These data were automatically processed and therefore are not curated

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Search for species Murdochiella vaginalis in external resources:
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PANGAEA
GBIF

Murdochiella vaginalis Marseille-P2341

Murdochiella vaginalis Marseille-P2341T

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