Cite this strain

Paenibacillus sp. (JCM 18996)

Name: Paenibacillus sp. (JCM 18996)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 162361

Type strain

Culture col. no. JCM 18996

NCBI tax ID(s) 1301085

Special Collections JCM

History JCM <-- T. Iida Avf-127.

Links

JCM 18996 is a bacterium that was isolated from Excrements of pill bugs Armadillidium vulgare.

genome sequence Bacteria

Name and taxonomic classification

SI-ID 384510

JCM 18996

@ref 20215

Last LPSN update 2026-05-29 08:44:54

Domain Bacteria

Phylum Bacillota

Class Bacilli

Order Caryophanales

Family Paenibacillaceae

Genus Paenibacillus

Full scientific name Paenibacillus Ash et al. 1994

Synonyms (1)

"Aerobacillus"

Morphology

Culture and growth conditions

Culture temp

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

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	facultative anaerobe	94.81

Spore formation

@ref	Spore formation	Confidence
125438		90.406
125439		92.959

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Host species	Geographic location	Country	Country ISO 3 Code	Continent
67770	Excrements of pill bugs Armadillidium vulgare	Armadillidium vulgare	Wako, Saitama Pref.	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	ASM131308v1 assembly for Paenibacillus sp. JCM 18996	contig	GCA_001313085	1301085.3	2734481930	1301085	0

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM131308v1 assembly for Paenibacillus sp. JCM 18996
BV-BRC: 1301085.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	facultative anaerobe	94.81	no
125439	gram_stain	BacteriaNetⓘ	variable	75.48	no
125439	motility	BacteriaNetⓘ	yes	87.65	no
125439	spore_formation	BacteriaNetⓘ	yes	92.96	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Paenibacillus sp. JCM 18996
PATRIC: 1301085.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	65.95	no
125438	anaerobic	anaerobicⓘ	no	94.11	no
125438	spore-forming	spore-formingⓘ	yes	90.41	no
125438	aerobic	aerobicⓘ	yes	80.10	no
125438	thermophilic	thermophileⓘ	no	82.81	yes
125438	flagellated	motile2+ⓘ	yes	80.93	no

Literature

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) .
#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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