Cite this strain

Paenibacillus sp. (JCM 10914)

Name: Paenibacillus sp. (JCM 10914)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 161088

Type strain

Culture col. no. JCM 10914

NCBI tax ID(s) 1236974

Special Collections JCM

Links

JCM 10914 is a mesophilic prokaryote that was isolated from Gut of the soil-feeding termite Sinocapritermes mushae.

mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 131598

JCM 10914

@ref 20215

Last LPSN update 2025-12-16 10:08:39

Domain Bacillati

Phylum Bacillota

Class Bacilli

Order Caryophanales

Family Paenibacillaceae

Genus Paenibacillus

Full scientific name Paenibacillus Ash et al. 1994

Synonyms (1)

"Aerobacillus"

Morphology

Cell morphology

@ref	Motility	Confidence
125439		93.9

Culture and growth conditions

Culture temp

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

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	aerobe	94.1

Spore formation

@ref	Spore formation	Confidence
125439		96.5

Observation

67770

Observationquinones: MK-7

Enzymes

@ref	Value	Ec
67770	Xylanase	3.2.1.8

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Host species	Geographic location	Country	Country ISO 3 Code	Continent
67770	Gut of the soil-feeding termite Sinocapritermes mushae	Sinocapritermes mushae	Okinawa	Japan	JPN	Asia

Taxonmaps

69479

Global distribution of 16S sequence AB046581 (>99% sequence identity) for Paenibacillus from Microbeatlas

Aquatic Samples	37
Soil Samples	432
Animal Samples	92
Plant Samples	117
Total Samples	678

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
67770	ASM50942v1 assembly for Paenibacillus sp. JCM 10914	contig	GCA_000509425	1236974.4	2576861701	1236974	50.35
66792	ASM131510v1 assembly for Paenibacillus sp. JCM 10914	contig	GCA_001315105	1236974.5		1236974	46.5

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
67770	Paenibacillus sp. SM-XY60 gene for 16S rRNA, partial sequence	AB046581	1375		1236974

GC content

@ref	GC-content (mol%)	Method
67770	48.7-49.7	high performance liquid chromatography (HPLC)
67770	48.6	genome sequence analysis

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Paenibacillus sp. JCM 10914
NCBI: GCA_001315105

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	aerobe	94.10	no
125439	gram_stain	BacteriaNetⓘ	variable	67.70	no
125439	motility	BacteriaNetⓘ	yes	93.90	no
125439	spore_formation	BacteriaNetⓘ	yes	96.50	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Paenibacillus sp. JCM 10914
PATRIC: 1236974.5

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	64.24	no
125438	anaerobic	anaerobicⓘ	no	91.86	no
125438	spore-forming	spore-formingⓘ	yes	88.75	no
125438	aerobic	aerobicⓘ	yes	62.58	no
125438	thermophilic	thermophileⓘ	no	91.44	yes
125438	flagellated	motile2+ⓘ	yes	82.84	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Genetics	Draft Genome Sequence of the Alkaliphilic and Xylanolytic Paenibacillus sp. Strain JCM 10914, Isolated from the Gut of a Soil-Feeding Termite.	Ohkuma M, Yuki M, Oshima K, Suda W, Oshida Y, Kitamura K, Iida T, Hattori M	Genome Announc	10.1128/genomeA.01144-13	2014

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;
#69479	João F Matias Rodrigues, Janko Tackmann,Gregor Rot, Thomas SB Schmidt, Lukas Malfertheiner, Mihai Danaila,Marija Dmitrijeva, Daniela Gaio, Nicolas Näpflin and Christian von Mering. University of Zurich.: MicrobeAtlas 1.0 beta .
#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 sp. (JCM 10914)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Observation

Enzymes

Isolation, sampling and environmental information

Isolation

Taxonmaps

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_000509425

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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