Cite this strain

"Paenibacillus bouchesdurhonensis" (DSM 103972, Marseille-P3071)

BacDive ID 160474

Type strain

Culture col. no. DSM 103972 Marseille-P3071

NCBI tax ID(s) 1870990

Special Collections DSMZ Cadoret human gut

Links

"Paenibacillus bouchesdurhonensis" DSM 103972 is a mesophilic prokaryote that was isolated from stool sample.

mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 405865

DSM 103972

@ref 20215

Last LPSN update 2025-12-16 10:08:30

Domain Bacillati

Phylum Bacillota

Class Bacilli

Order Caryophanales

Family Paenibacillaceae

Genus Paenibacillus

Species "Paenibacillus bouchesdurhonensis"

Full scientific name Paenibacillus bouchesdurhonensis Pham et al. 2017

Morphology

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
67382	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

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
67382	positive	growth	30	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	facultative anaerobe	92.5

Spore formation

@ref	Spore formation	Confidence
125439		94.6
125438		91.954

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
67382	stool sample	Dakar	Senegal	SEN	Africa

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	Paenibacillus bouchesdurhonensis assembly for Paenibacillus bouchesdurhonensis Marseille-P3071	scaffold	GCA_900155685	1870990.3	2791355223	1870990	72.57

Genome browser: GCA_900155685

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
124043	Paenibacillus sp. Marseille-P3071 partial 16S rRNA gene, strain Marseille-P3071	LT598550	1519		1870990

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Paenibacillus bouchesdurhonensis Marseille-P3071T
NCBI: GCA_900155685

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	yes	94.60	no
125439	motility	BacteriaNetⓘ	yes	85.30	no
125439	gram_stain	BacteriaNetⓘ	variable	79.50	no
125439	oxygen_tolerance	BacteriaNetⓘ	facultative anaerobe	92.50	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Paenibacillus bouchesdurhonensis Marseille-P3071
NCBI: GCA_900155685.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	59.88	no
125438	anaerobic	anaerobicⓘ	no	94.72	no
125438	aerobic	aerobicⓘ	no	56.00	no
125438	spore-forming	spore-formingⓘ	yes	91.95	no
125438	thermophilic	thermophileⓘ	no	92.16	yes
125438	flagellated	motile2+ⓘ	yes	83.50	no

Literature

Title	Authors	Journal	DOI	Year
Study on effect of plant growth promoting rhizobacteria on sorghum (Sorghum bicolor L.) under gnotobiotic conditions.	Chiranjeevi M, Goudar GD, Pu K, Yalavarthi N.	Front Microbiol	10.3389/fmicb.2024.1374802	2024
Discovery of solabiose phosphorylase and its application for enzymatic synthesis of solabiose from sucrose and lactose.	Saburi W, Nihira T, Nakai H, Kitaoka M, Mori H.	Sci Rep	10.1038/s41598-021-04421-2	2022
Noncontiguous finished genome sequences and descriptions of 'Paenibacillus bouchesdurhonensis,' 'Paenibacillus rubinfantis,' 'Paenibacillus senegalimassiliensis' and 'Paenibacillus tuaregi' identified by culturomics.	Pham TP, Tidjani Alou M, Traore SI, Brah S, Ali Diallo B, Diallo A, Sokhna C, Baptiste E, Levasseur A, Fournier PE, Cadoret F, Raoult D	New Microbes New Infect	10.1016/j.nmni.2017.07.004	2017

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) .
#67382	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 103972
#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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"Paenibacillus bouchesdurhonensis" (DSM 103972, Marseille-P3071)

Name and taxonomic classification

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_900155685

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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