Paenibacillus ihbetae (MTCC 12459, MCC 2795, KACC 19072)

Name: Paenibacillus ihbetae (MTCC 12459, MCC 2795, KACC 19072)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 163954

Type strain

Culture col. no. MTCC 12459 MCC 2795 KACC 19072 JCM 31131

NCBI tax ID(s) 1870820

Special Collections JCM

History JCM <-- A. Gulati; CSIR-Inst. of Himalayan Bioresour. Technol., India; IHBB 9852.

Links

Paenibacillus ihbetae JCM 31131 is a bacterium that was isolated from Sediment of Suraj Tal Lake in Lahaul valley.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 133286

JCM 31131

@ref 20215

Last LPSN update 2026-05-29 08:45:17

Domain Bacteria

Phylum Bacillota

Class Bacilli

Order Caryophanales

Family Paenibacillaceae

Genus Paenibacillus

Species Paenibacillus ihbetae

Full scientific name Paenibacillus ihbetae Kiran et al. 2020

BacDive ID	Other strains from **Paenibacillus ihbetae** (1)	Type strain
163955	P. ihbetae JCM 31132, KACC 19073, MCC 2794, MTCC 12458

Morphology

Cell morphology

@ref	Motility	Confidence
125439		90.044

Culture and growth conditions

Culture temp

@ref	Growth	Type	Temperature (°C)
67770	positive	growth	28

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	facultative anaerobe	95.84

Spore formation

@ref	Spore formation	Confidence
125438		93.951
125439		97.575

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
67770	Sediment of Suraj Tal Lake in Lahaul valley	Himachal Pradesh	India	IND	Asia

Taxonmaps

69479

Global distribution of 16S sequence KP745129 (>99% sequence identity) for Paenibacillus ihbetae from Microbeatlas

Aquatic Samples	111
Soil Samples	443
Animal Samples	206
Plant Samples	393
Total Samples	1153

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
67770	ASM274105v1 assembly for Paenibacillus ihbetae IHBB 9852	complete	GCA_002741055	1870820.3	2775507044	1870820	99.36

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
67770	Paenibacillus sp. IHB B 9852 16S ribosomal RNA gene, partial sequence	KP745129	1565		1684881

GC content

@ref	GC-content (mol%)	Method
67770	52.1	genome sequence analysis

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM274105v1 assembly for Paenibacillus ihbetae IHBB 9852
BV-BRC: 1870820.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	facultative anaerobe	95.84	no
125439	motility	BacteriaNetⓘ	yes	90.04	no
125439	gram_stain	BacteriaNetⓘ	variable	64.54	no
125439	spore_formation	BacteriaNetⓘ	yes	97.58	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Paenibacillus ihbetae strain IHBB 9852
PATRIC: 1870820.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	60.47	no
125438	anaerobic	anaerobicⓘ	no	96.72	no
125438	spore-forming	spore-formingⓘ	yes	93.95	no
125438	aerobic	aerobicⓘ	yes	59.90	no
125438	thermophilic	thermophileⓘ	no	94.75	yes
125438	flagellated	motile2+ⓘ	yes	86.79	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Paenibacillus ihbetae sp. nov., a cold-adapted antimicrobial producing bacterium isolated from high altitude Suraj Tal Lake in the Indian trans-Himalayas.	Kiran S, Swarnkar MK, Mayilraj S, Tewari R, Gulati A	Syst Appl Microbiol	10.1016/j.syapm.2017.07.005	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 )
#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 )

Rate our new design

Content

About us

Paenibacillus ihbetae (MTCC 12459, MCC 2795, KACC 19072)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Isolation, sampling and environmental information

Isolation

Taxonmaps

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_002741055

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

Help

Social Media