Cite this strain

Lactovum miscens (DSM 14925, ATCC BAA-490, AnNAG3)

BacDive ID 14682

Type strain

Strain Designation AnNAG3

Culture col. no. DSM 14925 ATCC BAA-490 AnNAG3

NCBI tax ID(s) 190387

Special Collections DSMZ

Links

Lactovum miscens AnNAG3 is a mesophilic prokaryote that was isolated from acidic forest soil.

mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 118385

ATCC BAA-490,DSM 14925

@ref 20215

Last LPSN update 2025-12-16 09:50:25

Domain Bacillati

Phylum Bacillota

Class Bacilli

Order Lactobacillales

Family Streptococcaceae

Genus Lactovum

Species Lactovum miscens

Full scientific name Lactovum miscens Matthies et al. 2005

Morphology

Cell morphology

@ref	Motility	Confidence
125438		93.5
125438		91.141

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
5448	MRS pre-reduced (DSMZ Medium 11b)		Medium recipe at MediaDive	Name: MRS MEDIUM (pre-reduced) (DSMZ Medium 11b) Composition: Glucose 20.0 g/l Casein peptone 10.0 g/l Meat extract 10.0 g/l Na-acetate 5.0 g/l Yeast extract 5.0 g/l (NH4)3 citrate 2.0 g/l K2HPO4 2.0 g/l Tween 80 1.0 g/l L-Cysteine HCl x H2O 0.5 g/l MgSO4 x 7 H2O 0.2 g/l MnSO4 x H2O 0.05 g/l Resazurin 0.001 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
5448	positive	growth	25	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	98.5

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Terrestrial	#Forest
#Environmental	#Terrestrial	#Soil
#Condition	#Acidic	-

Isolation

@ref	Sample type	Country	Country ISO 3 Code	Continent
5448	acidic forest soil	Germany	DEU	Europe

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
5448	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
66792	ASM1420289v1 assembly for Lactovum miscens DSM 14925	scaffold	GCA_014202895	190387.3	2861643106	190387	60.68

Genome browser: GCA_014202895

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
5448	Lactovum miscens 16S rRNA gene, strain anNAG3	AJ439543	1482		190387

GC content

5448

GC-content (mol%)37.6

Genome-based predictions

Predictions

Predictions from Diaspora project based on:
Lactovum miscens DSM 14925
NCBI: GCA_014202895

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	76.40	no
125439	motility	BacteriaNetⓘ	no	59.50	no
125439	gram_stain	BacteriaNetⓘ	positive	68.20	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	98.50	no

Predictions from Diaspora project based on:
Lactovum miscens DSM 14925
NCBI: GCA_014202895.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	91.14	no
125438	anaerobic	anaerobicⓘ	no	84.67	no
125438	aerobic	aerobicⓘ	no	94.16	no
125438	spore-forming	spore-formingⓘ	no	86.52	no
125438	thermophilic	thermophileⓘ	no	97.00	yes
125438	flagellated	motile2+ⓘ	no	93.50	no

Literature

References

#5448	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 14925
#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 )
#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) .
#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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