Bacillus coagulans (DSM 2314, ATCC 23498, NCIB 10276)

Name: Bacillus coagulans (DSM 2314, ATCC 23498, NCIB 10276)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 650

Type strain

Strain Designation M-39

Culture col. no. DSM 2314 ATCC 23498 NCIB 10276 M-39 NCIMB 10276 2 more

NCBI tax ID(s) 1398

Special Collections DSMZ JCM

History DSMZ <- NCIB <- O. Nakayama, M-39 (Bacillus racemilacticus) JCM <-- IAM 12320 <-- O. Nakayama M-39 ("Bacillus racemilacticus").

Links

Bacillus coagulans M-39 is a bacterium that produces lactate and was isolated from rhizosphere.

lactate production genome sequence Bacteria

Name and taxonomic classification

SI-ID 92159

LMG 6938,ATCC 23498,DSM 2314,IAM 12320,NCIB 10276,NCIMB 10276,JCM 20478

@ref 20215

Last LPSN update 2026-05-29 08:25:05

Domain Bacteria

Phylum Bacillota

Class Bacilli

Order Caryophanales

Family Bacillaceae

Genus Bacillus

Species Bacillus coagulans

Full scientific name Bacillus coagulans Hammer 1915 (Approved Lists 1980)

Synonyms (2)

Weizmannia coagulans
Heyndrickxia coagulans

BacDive ID	Other strains from **Bacillus coagulans** (4)	Type strain
136030	B. coagulans 963.85, CIP 102020
137618	B. coagulans CIP 51.34, CN 2821
140654	B. coagulans 36D1, ATCC 5827
147772	B. coagulans CCUG 34203

Morphology

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
1042	CASO AGAR (MERCK 105458) (DSMZ Medium 220)		Medium recipe at MediaDive	Name: CASO AGAR (Merck 105458) (DSMZ Medium 220) Composition: Agar 15.0 g/l Casein peptone 15.0 g/l NaCl 5.0 g/l Soy peptone 5.0 g/l Distilled water
1042	NUTRIENT AGAR (DSMZ Medium 1)		Medium recipe at MediaDive	Name: NUTRIENT AGAR (DSMZ Medium 1) Composition: Agar 15.0 g/l Peptone 5.0 g/l Meat extract 3.0 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
1042	positive	growth	55
67770	positive	growth	30

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	facultative anaerobe	90.053

Spore formation

@ref	Spore formation	Confidence
125438		91.58

Compound production

@ref	Compound
1042	L(+) lactic acid
1042	DL lactic acid

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host Body-Site	#Plant	#Rhizosphere

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
1042	rhizosphere
67770	Soil	Kofu, Yamanashi Pref.	Japan	JPN	Asia

Interaction and safety

Risk assessment

@ref	Pathogenicity human	Biosafety level	Biosafety level comment
1042	yes, in single cases	1	Risk group (German classification) According to TRBA 466

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	NCBI tax ID	Score
66792	ASM671638v1 assembly for Heyndrickxia coagulans DSM 2314	complete	GCA_006716385	1398.125	1398	95.49
124043	ASM4055836v1 assembly for Heyndrickxia coagulans DSM 2314	complete	GCA_040558365		1398	69.93

GC content

1042

GC-content (mol%)45.3

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM671638v1 assembly for Heyndrickxia coagulans DSM 2314
BV-BRC: 1398.125

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	facultative anaerobe	90.05	no
125439	gram_stain	BacteriaNetⓘ	variable	71.93	no
125439	motility	BacteriaNetⓘ	yes	48.02	no
125439	spore_formation	BacteriaNetⓘ	yes	63.67	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Weizmannia coagulans DSM 2314
NCBI: GCA_006716385.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	75.49	no
125438	anaerobic	anaerobicⓘ	no	89.22	no
125438	aerobic	aerobicⓘ	yes	61.44	no
125438	spore-forming	spore-formingⓘ	yes	91.58	no
125438	thermophilic	thermophileⓘ	no	80.24	no
125438	flagellated	motile2+ⓘ	yes	76.99	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	Optimization of lactic acid production from apple and tomato pomaces by thermotolerant bacteria.	Paniagua-Garcia AI, Garita-Cambronero J, Gonzalez-Rojo S, Diez-Antolinez R.	J Environ Manage	10.1016/j.jenvman.2024.121806	2024
Proteome	Expanded genome and proteome reallocation in a novel, robust Bacillus coagulans strain capable of utilizing pentose and hexose sugars.	Dooley D, Ryu S, Giannone RJ, Edwards J, Dien BS, Slininger PJ, Trinh CT.	mSystems	10.1128/msystems.00952-24	2024
Biotechnology	Revisiting the production of L( +)-lactic acid from vine shoots: bioconversion improvements by employing thermotolerant bacteria.	Garita-Cambronero J, Hijosa-Valsero M, Paniagua-Garcia AI, Diez-Antolinez R	Appl Microbiol Biotechnol	10.1007/s00253-021-11693-1	2021
Biotechnology	Production of l(+)-lactic acid from acid pretreated sugarcane bagasse using Bacillus coagulans DSM2314 in a simultaneous saccharification and fermentation strategy.	van der Pol EC, Eggink G, Weusthuis RA	Biotechnol Biofuels	10.1186/s13068-016-0646-3	2016
Metabolism	Precultivation of Bacillus coagulans DSM2314 in the presence of furfural decreases inhibitory effects of lignocellulosic by-products during L(+)-lactic acid fermentation.	van der Pol E, Springer J, Vriesendorp B, Weusthuis R, Eggink G	Appl Microbiol Biotechnol	10.1007/s00253-016-7725-z	2016
Metabolism	Lactic acid production from lime-treated wheat straw by Bacillus coagulans: neutralization of acid by fed-batch addition of alkaline substrate.	Maas RH, Bakker RR, Jansen ML, Visser D, de Jong E, Eggink G, Weusthuis RA	Appl Microbiol Biotechnol	10.1007/s00253-008-1361-1	2008

References

#1042	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 2314
#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) .
#67770	Japan Collection of Microorganism (JCM) ; Curators of the JCM;
#124043	Isabel Schober, Julia Koblitz: Data extracted from sequence databases, automatically matched based on designation and taxonomy .
#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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Bacillus coagulans (DSM 2314, ATCC 23498, NCIB 10276)

Name and taxonomic classification

Morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Compound production

Isolation, sampling and environmental information

Isolation source categories

Isolation

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_006716385

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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