Cite this strain

Neobacillus niacini (JCM 19735)

Name: Neobacillus niacini (JCM 19735)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 162595

Type strain

Culture col. no. JCM 19735

NCBI tax ID(s) 86668

Special Collections JCM

Links

Neobacillus niacini JCM 19735 is a mesophilic prokaryote that was isolated from Deep-sea sediment.

mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 393401

JCM 19735

@ref 20215

Last LPSN update 2025-12-16 10:09:01

Domain Bacillati

Phylum Bacillota

Class Bacilli

Order Caryophanales

Family Cytobacillaceae

Genus Neobacillus

Species Neobacillus niacini

Full scientific name Neobacillus niacini (Nagel and Andreesen 1991) Patel and Gupta 2020

Synonyms (1)

Bacillus niacini

BacDive ID	Other strains from **Neobacillus niacini** (2)	Type strain
1091	N. niacini DSM 2923, IFO 15566, NBRC 15566, JCM 12306, ... (type strain)
1092	N. niacini W14/2, DSM 30784

Morphology

Culture and growth conditions

Culture temp

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

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	98.7

Spore formation

@ref	Spore formation	Confidence
125439		91.6
125438		92.229

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
67770	Deep-sea sediment	Izu-Ogasawara Trench	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
67770	ASM75967v1 assembly for Neobacillus niacini F8	scaffold	GCA_000759675	86668.3	2630968359	86668	35.85

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
67770	Bacillus niacini gene for 16S ribosomal RNA, partial sequence, strain: JAM-F8	AB889607	1225		86668

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Neobacillus niacini F8
NCBI: GCA_000759675

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	yes	91.60	no
125439	motility	BacteriaNetⓘ	yes	85.90	no
125439	gram_stain	BacteriaNetⓘ	variable	82.00	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	98.70	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Neobacillus niacini F8
NCBI: GCA_000759675.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	69.11	no
125438	anaerobic	anaerobicⓘ	no	97.37	no
125438	aerobic	aerobicⓘ	yes	56.99	no
125438	spore-forming	spore-formingⓘ	yes	92.23	no
125438	thermophilic	thermophileⓘ	no	90.41	yes
125438	flagellated	motile2+ⓘ	yes	58.79	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;
#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