Pseudalkalibacillus caeni (CGMCC 1.16730, JCM 33411)

Name: Pseudalkalibacillus caeni (CGMCC 1.16730, JCM 33411)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 164548

Type strain

Culture col. no. CGMCC 1.16730 JCM 33411

NCBI tax ID(s) 2574798

Special Collections JCM

History JCM <-- K. Mo; Chin. Acad. of Trop. Agric. Sci., China; HB172195.

Links

Pseudalkalibacillus caeni JCM 33411 is a bacterium that was isolated from Mangrove sediment from Bamen Bay mangrove forest.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 27990

JCM 33411

@ref 20215

Last LPSN update 2026-05-29 08:45:26

Domain Bacteria

Phylum Bacillota

Class Bacilli

Order Caryophanales

Family Bacillaceae

Genus Pseudalkalibacillus

Species Pseudalkalibacillus caeni

Full scientific name Pseudalkalibacillus caeni (Mo et al. 2020) Joshi et al. 2022

Synonyms (3)

Alkalihalobacillus caeni
Exobacillus caeni
Bacillus caeni

Morphology

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	90.919

Spore formation

@ref	Spore formation	Confidence
125438		92.006

Observation

67770

Observationquinones: MK-7

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Country	Country ISO 3 Code	Continent
67770	Mangrove sediment from Bamen Bay mangrove forest	China	CHN	Asia

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
67770	ASM574709v1 assembly for Exobacillus caeni HB172195	contig	GCA_005747095	2574798.3	2916828989	2574798	67.19

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
67770	Pseudalkalibacillus caeni 16S ribosomal RNA gene, partial sequence	MK249707	1474		2574798

GC content

@ref	GC-content (mol%)	Method
67770	40.9	genome sequence analysis

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM574709v1 assembly for Exobacillus caeni HB172195
NCBI: GCA_005747095

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	gram_stain	BacteriaNetⓘ	variable	71.50	no
125439	oxygen_tolerance	BacteriaNetⓘ	facultative anaerobe	90.92	no
125439	motility	BacteriaNetⓘ	yes	75.60	no
125439	spore_formation	BacteriaNetⓘ	yes	84.34	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Pseudalkalibacillus caeni HB172195
NCBI: GCA_005747095.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	77.35	no
125438	anaerobic	anaerobicⓘ	no	89.84	no
125438	aerobic	aerobicⓘ	yes	74.73	no
125438	spore-forming	spore-formingⓘ	yes	92.01	no
125438	thermophilic	thermophileⓘ	no	85.51	no
125438	flagellated	motile2+ⓘ	yes	69.77	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Phylogenomic studies and molecular markers clarifying the evolutionary relationships and classification of Pseudalkalibacillus species: proposal for the family Guptibacillaceae fam. nov. harbouring the genera Guptibacillus gen. nov. and Exobacillus gen. nov.	Bello S, Rudra B, Schellhorn HE.	Int J Syst Evol Microbiol	10.1099/ijsem.0.006757	2025
	Alkalihalobacterium elongatum gen. nov. sp. nov.: An Antibiotic-Producing Bacterium Isolated From Lonar Lake and Reclassification of the Genus Alkalihalobacillus Into Seven Novel Genera.	Joshi A, Thite S, Karodi P, Joseph N, Lodha T.	Front Microbiol	10.3389/fmicb.2021.722369	2021
Phylogeny	Bacillus caeni sp. nov., isolated from mangrove sediment.	Mo K, Huang H, Bao S, Hu Y	Int J Syst Evol Microbiol	10.1099/ijsem.0.003853	2020

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 )

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Pseudalkalibacillus caeni (CGMCC 1.16730, JCM 33411)

Name and taxonomic classification

Morphology

Culture and growth conditions

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Observation

Isolation, sampling and environmental information

Isolation

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_005747095

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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