Sporolactobacillus putidus (DSM 21265, JCM 15325, QC81-06)

Name: Sporolactobacillus putidus (DSM 21265, JCM 15325, QC81-06)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 14405

Type strain

Strain Designation QC81-06

Culture col. no. DSM 21265 JCM 15325 QC81-06

NCBI tax ID(s) 492735

Special Collections DSMZ JCM Literature strains

Links

Sporolactobacillus putidus QC81-06 is an anaerobe, spore-forming, mesophilic prokaryote that was isolated from spoiled orange juice.

spore-forming Gram-positive motile rod-shaped anaerobe mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 397237

JCM 15325,DSM 21265

@ref 20215

Last LPSN update 2025-12-16 09:50:20

Domain Bacillati

Phylum Bacillota

Class Bacilli

Order Caryophanales

Family Sporolactobacillaceae

Genus Sporolactobacillus

Species Sporolactobacillus putidus

Full scientific name Sporolactobacillus putidus Fujita et al. 2010

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Motility
28936	positive	5.5 µm	0.65 µm	rod-shaped

Pigmentation

28936

Productionno

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
15496	GYP GLUCOSE-YEAST-PEPTONE MEDIUM (DSMZ Medium 852)		Medium recipe at MediaDive	Name: GYP GLUCOSE-YEAST-PEPTONE MEDIUM (DSMZ Medium 852) Composition: Glucose 20.0 g/l Yeast extract 10.0 g/l Peptone 10.0 g/l Na-acetate 10.0 g/l Agar 10.0 g/l MgSO4 x 7 H2O 0.2 g/l MnSO4 x 4 H2O 0.01 g/l FeSO4 x 7 H2O 0.01 g/l NaCl 0.01 g/l Distilled water
15496	R2A MEDIUM (DSMZ Medium 830)		Medium recipe at MediaDive	Name: R2A MEDIUM (DSMZ Medium 830) Composition: Agar 15.0 g/l Casamino acids 0.5 g/l Starch 0.5 g/l Glucose 0.5 g/l Proteose peptone 0.5 g/l Yeast extract 0.5 g/l K2HPO4 0.3 g/l Na-pyruvate 0.3 g/l MgSO4 x 7 H2O 0.05 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
15496	positive	growth	35	mesophilic
15496	positive	growth	30	mesophilic
28936	positive	growth	30-45
28936	positive	optimum	35	mesophilic
67770	positive	growth	35	mesophilic

Culture pH

@ref	Ability	Type	PH
28936	positive	optimum	4.75
28936	positive	growth	4.5-5

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
28936	anaerobe
125439	obligate aerobe	93.6

Spore formation

28936

Spore formationyes

Observation

67770

Observationquinones: MK-7, MK-3

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
28936	28757 ChEBI	fructose	+	carbon source
28936	28260 ChEBI	galactose	+	carbon source
28936	17234 ChEBI	glucose	+	carbon source
28936	17306 ChEBI	maltose	+	carbon source
28936	29864 ChEBI	mannitol	+	carbon source
28936	37684 ChEBI	mannose	+	carbon source
28936	506227 ChEBI	N-acetylglucosamine	+	carbon source
28936	17992 ChEBI	sucrose	+	carbon source
28936	27082 ChEBI	trehalose	+	carbon source

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Engineered	#Food production	#Beverage
#Environmental	#Microbial community	-

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
15496	spoiled orange juice	Shizuoka	Japan	JPN	Asia
67770	Spoiled orange juice

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
15496	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	ASM1464703v1 assembly for Sporolactobacillus putidus JCM 15325	scaffold	GCA_014647035	492735.3	2989332823	492735	59.95

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
15496	Sporolactobacillus putidus gene for 16S ribosomal RNA, partial sequence	AB374522	1503		492735

GC content

@ref	GC-content (mol%)	Method
15496	47.5	high performance liquid chromatography (HPLC)
28936	47.5

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Sporolactobacillus putidus JCM 15325
NCBI: GCA_014647035

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	yes	80.30	no
125439	motility	BacteriaNetⓘ	yes	79.50	no
125439	gram_stain	BacteriaNetⓘ	variable	87.10	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	93.60	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Sporolactobacillus putidus JCM 15325
NCBI: GCA_014647035.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	81.97	yes
125438	anaerobic	anaerobicⓘ	no	82.15	no
125438	aerobic	aerobicⓘ	no	67.41	yes
125438	spore-forming	spore-formingⓘ	yes	84.92	no
125438	thermophilic	thermophileⓘ	no	83.44	no
125438	flagellated	motile2+ⓘ	yes	82.42	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Sporolactobacillus shoreae sp. nov. and Sporolactobacillus spathodeae sp. nov., two spore-forming lactic acid bacteria isolated from tree barks in Thailand.	Thamacharoensuk T, Kitahara M, Ohkuma M, Thongchul N, Tanasupawat S	Int J Syst Evol Microbiol	10.1099/ijs.0.000084	2015
Phylogeny	Sporolactobacillus putidus sp. nov., an endospore-forming lactic acid bacterium isolated from spoiled orange juice.	Fujita R, Mochida K, Kato Y, Goto K	Int J Syst Evol Microbiol	10.1099/ijs.0.002048-0	2009

References

#15496	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 21265
#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 )
#28936	Barberan A, Caceres Velazquez H, Jones S, Fierer N.: Hiding in Plain Sight: Mining Bacterial Species Records for Phenotypic Trait Information. mSphere 2: 2017 ( DOI 10.1128/mSphere.00237-17 , PubMed 28776041 ) - originally annotated from #25375 (see below)
#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) .
#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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Sporolactobacillus putidus (DSM 21265, JCM 15325, QC81-06)

Name and taxonomic classification

Morphology

Cell morphology

Pigmentation

Culture and growth conditions

Culture medium

Culture temp

Culture pH

Physiology and metabolism

Oxygen tolerance

Spore formation

Observation

Metabolite utilization

Isolation, sampling and environmental information

Isolation source categories

Isolation

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_014647035

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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