Paenibacillus sp. (MTCC 12461, JCM 31816)

Name: Paenibacillus sp. (MTCC 12461, JCM 31816)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 164129

Type strain

Culture col. no. MTCC 12461 JCM 31816

NCBI tax ID(s) 58172

Special Collections JCM

History A. Gulati; CSIR-Inst. of Himalayan Bioresour. Technol., India; IHB B 3415.

Links

JCM 31816 is a bacterium that was isolated from Soil from the cold deserts of Himachal Pradesh.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 390785

MTCC 12461,JCM 31816

@ref 20215

Last LPSN update 2026-02-09 11:39:46

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	28

Physiology and metabolism

Spore formation

@ref	Spore formation	Confidence
125439		94.2
125438		92.755

Enzymes

@ref	Value	Ec
67770	catalase	1.11.1.6

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Country	Country ISO 3 Code	Continent
67770	Soil from the cold deserts of Himachal Pradesh	India	IND	Asia

Taxonmaps

69479

Global distribution of 16S sequence HM563047 (>99% sequence identity) for Paenibacillus from Microbeatlas

Aquatic Samples	238
Soil Samples	631
Animal Samples	232
Plant Samples	142
Total Samples	1243

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
67770	ASM80265v2 assembly for Paenibacillus sp. IHB B 3415	contig	GCA_000802655	867080.3	2630968757	867080	19.1

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
67770	Paenibacillus sp. IHB B 3415 16S ribosomal RNA gene, partial sequence	HM563047	1519		867080

GC content

@ref	GC-content (mol%)	Method
67770	50.77	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. IHB B 3415
NCBI: GCA_000802655

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	yes	94.20	no
125439	motility	BacteriaNetⓘ	yes	89.40	no
125439	gram_stain	BacteriaNetⓘ	variable	86.20	no
125439	oxygen_tolerance	BacteriaNetⓘ	aerobe	84.30	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Paenibacillus sp. IHB B 3415 IHB B 3415
NCBI: GCA_000802655.2

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	59.97	no
125438	anaerobic	anaerobicⓘ	no	93.33	no
125438	aerobic	aerobicⓘ	no	53.15	no
125438	spore-forming	spore-formingⓘ	yes	92.76	no
125438	thermophilic	thermophileⓘ	no	96.71	no
125438	flagellated	motile2+ⓘ	yes	86.67	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 )
#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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