Cite this strain

Heyndrickxia 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

Links

Name and taxonomic classification

Heyndrickxia coagulans M-39 is a spore-forming, thermophilic bacterium that produces lactate and was isolated from rhizosphere.

lactate production spore-forming thermophilic genome sequence Bacteria

SI-ID 92159

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

Last LPSN update 2024-12-09 10:43:11

Domain Bacteria

Phylum Bacillota

Class Bacilli

Order Caryophanales

Family Bacillaceae

Genus Heyndrickxia

Species Heyndrickxia coagulans

Full scientific name Heyndrickxia coagulans (Hammer 1915) Narsing Rao et al. 2023

Synonyms (2)

Bacillus coagulans
Weizmannia coagulans

BacDive ID	Other strains from **Heyndrickxia coagulans** (10)	Type strain
654	H. coagulans 609, NRS-609, DSM 1, CCM 2013, NCIB 9365, ... (type strain)
645	H. coagulans U, DSM 2350, NRRL NRS-2012
646	H. coagulans 200 of Hammer, DSM 2356, NCIB 8523
647	H. coagulans DSM 2308, ATCC 12245, NCIB 8870, NCA 3084
648	H. coagulans 784, DSM 2311, ATCC 10545, CCM 1082, NCIB ...
649	H. coagulans 43 P, 770, DSM 2312, ATCC 8038, NCIB 8080, ...
651	H. coagulans 78G, T 27, DSM 2383, ATCC 11014
652	H. coagulans C, DSM 2384, ATCC 11369
653	H. coagulans DSM 2385, ATCC 15949
655	H. coagulans ES-116, DSM 30760

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)	Range
1042	positive	growth	55	thermophilic
67770	positive	growth	30	mesophilic

Physiology and metabolism

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
1042	rhizosphere
67770	Soil

Safety information

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

GC content

1042

GC-content (mol%)45.3

Genome sequences

@ref	Description	Accession	Assembly level	Database	NCBI tax ID
66792	Heyndrickxia coagulans DSM 2314	GCA_006716385	complete		1398
66792	Bacillus coagulans strain DSM 2314	1398.125	complete	PATRIC	1398

Genome-based predictions

Predictions

Predictions from Diaspora project based on:
Bacillus coagulans strain DSM 2314
PATRIC: 1398.125

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	yes	73.40	no
125439	motility	BacteriaNetⓘ	yes	57.60	no
125439	gram_stain	BacteriaNetⓘ	variable	86.60	no
125439	oxygen_tolerance	BacteriaNetⓘ	anaerobe	67.20	no

Predictions from Diaspora project 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

External links

Literature

Topic	Title	Authors	Journal	DOI	Year
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

Straininfo Link

@ref	Straininfo	Culture collections
70325	92159	LMG 6938, ATCC 23498, DSM 2314, IAM 12320, NCIB 10276, NCIMB 10276, JCM 20478

Culture collection no.

Culture collection no.
DSM 2314
ATCC 23498
NCIB 10276
M-39
NCIMB 10276
IAM 12320
JCM 20478

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;
#70325	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-ID92159.1 )
#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 .

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