Alkalihalobacterium alkalicellulosilyticum (DSM 104630, CCTCC AB 2016196, FJAT-44921)

Name: Alkalihalobacterium alkalicellulosilyticum (DSM 104630, CCTCC AB 2016196, FJAT-44921)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 159979

Type strain

Strain Designation FJAT-44921

Culture col. no. DSM 104630 CCTCC AB 2016196 FJAT-44921

NCBI tax ID(s) 1912214

Special Collections DSMZ

Links

Alkalihalobacterium alkalicellulosilyticum FJAT-44921 is a mesophilic prokaryote that was isolated from soil.

mesophilic genome sequence

Name and taxonomic classification

SI-ID 401850

DSM 104630

@ref 20215

Last LPSN update 2025-12-16 10:08:23

Domain Bacillati

Phylum Bacillota

Class Bacilli

Order Caryophanales

Family Bacillaceae

Genus Alkalihalobacterium

Species Alkalihalobacterium alkalicellulosilyticum

Full scientific name Alkalihalobacterium alkalicellulosilyticum corrig. (Liu et al. 2022) Li et al. 2024

Synonyms (2)

Bacillus alkalicellulosilyticus
Alkalihalobacterium alkalicellulosilyticus

Morphology

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
66883	CASO AGAR (MERCK 105458) (DSMZ Medium 220)		Medium recipe at MediaDive	Name: CASO AGAR (Merck 105458) (DSMZ Medium 220) Composition: Agar 15.0 g/l Casein peptone 15.0 g/l NaCl 5.0 g/l Soy peptone 5.0 g/l Distilled water
66883	ALKALINE NUTRIENT AGAR (DSMZ Medium 31)		Medium recipe at MediaDive	Name: ALKALINE NUTRIENT AGAR (DSMZ Medium 31) Composition: Agar 15.0 g/l Na2CO3 anhydrous 5.3 g/l Peptone 5.0 g/l NaHCO3 4.2 g/l Meat extract 3.0 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
66883	positive	growth	30	mesophilic

Physiology and metabolism

Spore formation

@ref	Spore formation	Confidence
125439		93.7
125438		94.528

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
66883	soil	Shandong Province	China	CHN	Asia

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	IMG accession	NCBI tax ID	Score
66792	ASM201979v1 assembly for Alkalihalobacterium alkalicellulosilyticum FJAT-44921	scaffold	GCA_002019795	2997858594	1912214	77.06

Genome browser: GCA_002019795

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Bacillus alkalicellulosilyticus FJAT-44921
NCBI: GCA_002019795

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	yes	93.70	no
125439	motility	BacteriaNetⓘ	yes	88.00	no
125439	gram_stain	BacteriaNetⓘ	variable	75.30	no
125439	oxygen_tolerance	BacteriaNetⓘ	facultative anaerobe	79.10	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Bacillus alkalicellulosilyticus FJAT-44921
NCBI: GCA_002019795.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	69.71	no
125438	anaerobic	anaerobicⓘ	no	88.20	no
125438	aerobic	aerobicⓘ	yes	67.12	no
125438	spore-forming	spore-formingⓘ	yes	94.53	no
125438	thermophilic	thermophileⓘ	no	88.84	yes
125438	flagellated	motile2+ⓘ	yes	89.37	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Bacillus alkalicellulosilyticus sp. nov., isolated from extremely alkaline bauxite residue (red mud) site.	Liu GH, Narsing Rao MP, Wang XY, Chu TW, Liu B, Li WJ	Arch Microbiol	10.1007/s00203-020-02063-y	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 )
#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) .
#66883	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 104630
#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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Alkalihalobacterium alkalicellulosilyticum (DSM 104630, CCTCC AB 2016196, FJAT-44921)

Name and taxonomic classification

Morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Spore formation

Isolation, sampling and environmental information

Isolation

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_002019795

Genome-based predictions

Predictions

Literature

Literature

References

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