Lentilactobacillus fungorum (YK48G, DSM 107968, JCM 32598)

Name: Lentilactobacillus fungorum (YK48G, DSM 107968, JCM 32598)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 168421

Type strain

Strain Designation YK48G

Culture col. no. YK48G DSM 107968 JCM 32598

NCBI tax ID(s) 2201250

Special Collections JCM DSMZ

History DSMZ <- M. Tohno, National Agriculture and Food Res. Org. (NARO), Tochigi, Japan; strain YK48G

Links

Lentilactobacillus fungorum YK48G is a bacterium that was isolated from spent mushroom substrate.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 399734

JCM 32598,DSM 107968

@ref 20215

Last LPSN update 2026-05-29 08:46:22

Domain Bacteria

Phylum Bacillota

Class Bacilli

Order Lactobacillales

Family Lactobacillaceae

Genus Lentilactobacillus

Species Lentilactobacillus fungorum

Full scientific name Lentilactobacillus fungorum Tohno et al. 2021

Morphology

Cell morphology

@ref	Gram stain	Confidence
125438	positive	94.051

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
68812	MRS MEDIUM (DSMZ Medium 11)		Medium recipe at MediaDive	Name: MRS MEDIUM (DSMZ Medium 11) 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 MgSO4 x 7 H2O 0.2 g/l MnSO4 x H2O 0.05 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
68812	positive	growth	30

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	facultative anaerobe	90.749

Spore formation

@ref	Spore formation	Confidence
125439		98.924

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
68812	spent mushroom substrate	Nagano	Japan	JPN	Asia

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM1686060v1 assembly for Lentilactobacillus fungorum YK48G	contig	GCA_016860605	2201250.3	8002718653	2201250	74.15

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
20215	Lentilactobacillus fungorum gene for 16S ribosomal RNA, partial sequence	LC383843	1495		2201250

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM1686060v1 assembly for Lentilactobacillus fungorum YK48G
NCBI: GCA_016860605

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	motility	BacteriaNetⓘ	no	83.10	no
125439	gram_stain	BacteriaNetⓘ	positive	69.21	no
125439	oxygen_tolerance	BacteriaNetⓘ	facultative anaerobe	90.75	no
125439	spore_formation	BacteriaNetⓘ	no	98.92	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Lentilactobacillus fungorum YK48G
NCBI: GCA_016860605.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	94.05	no
125438	anaerobic	anaerobicⓘ	no	83.85	no
125438	aerobic	aerobicⓘ	no	88.88	no
125438	spore-forming	spore-formingⓘ	no	76.03	no
125438	thermophilic	thermophileⓘ	no	95.45	yes
125438	flagellated	motile2+ⓘ	no	89.00	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Lentilactobacillus fungorum sp. nov., isolated from spent mushroom substrates.	Tohno M, Tanizawa Y, Kojima Y, Sakamoto M, Ohkuma M, Kobayashi H	Int J Syst Evol Microbiol	10.1099/ijsem.0.005184	2021

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 )
#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) .
#68812	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 107968
#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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Lentilactobacillus fungorum (YK48G, DSM 107968, JCM 32598)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Isolation, sampling and environmental information

Isolation

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_016860605

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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