Alkaliphilus halophilus (DSM 24577, CGMCC 1.5124, JCM 16124)

Name: Alkaliphilus halophilus (DSM 24577, CGMCC 1.5124, JCM 16124)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 2865

Type strain

Strain Designation E2R

Culture col. no. DSM 24577 CGMCC 1.5124 JCM 16124 E2R

NCBI tax ID(s) 522397

Special Collections DSMZ JCM

History <- JCM <- Y. Wu, College of Life Sciences, Zhejiang University, Hangzhou, PR China; E2R X.-Y. Wu E2R.

Links

Alkaliphilus halophilus E2R is an anaerobe, mesophilic prokaryote that was isolated from salt lake sediments.

anaerobe mesophilic 16S sequence

Name and taxonomic classification

SI-ID 407099

JCM 16124,DSM 24577

@ref 20215

Last LPSN update 2026-02-09 11:18:22

Domain Bacteria

Phylum Bacillota

Class Clostridia

Order Peptostreptococcales

Family Natronincolaceae

Genus Alkaliphilus

Species Alkaliphilus halophilus

Full scientific name Alkaliphilus halophilus Wu et al. 2010

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	positive	90.2

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
17698	ALKALIPHILUS MEDIUM (DSMZ Medium 1290)		Medium recipe at MediaDive	Name: ALKALIPHILUS MEDIUM (DSMZ Medium 1290) Composition: Trypticase peptone 9.99 g/l Yeast extract 9.99 g/l D-Glucose 2.4975 g/l KCl 0.998999 g/l Na-ascorbate 0.499501 g/l Na-thioglycolate 0.499501 g/l MgSO4 x 7 H2O 0.02997 g/l Nitrilotriacetic acid 0.014985 g/l NaCl 0.00999001 g/l MnSO4 x H2O 0.00499501 g/l CoSO4 x 7 H2O 0.0017982 g/l ZnSO4 x 7 H2O 0.0017982 g/l CaCl2 x 2 H2O 0.000999001 g/l FeSO4 x 7 H2O 0.000999001 g/l NiCl2 x 6 H2O 0.0002997 g/l AlK(SO4)2 x 12 H2O 0.0001998 g/l CuSO4 x 5 H2O 9.99001e-05 g/l Pyridoxine hydrochloride 9.99001e-05 g/l H3BO3 9.99001e-05 g/l Na2MoO4 x 2 H2O 9.99001e-05 g/l Thiamine HCl 4.995e-05 g/l Riboflavin 4.995e-05 g/l Nicotinic acid 4.995e-05 g/l Calcium D-(+)-pantothenate 4.995e-05 g/l p-Aminobenzoic acid 4.995e-05 g/l (DL)-alpha-Lipoic acid 4.995e-05 g/l Folic acid 1.998e-05 g/l Biotin 1.998e-05 g/l Na2WO4 x 2 H2O 3.996e-06 g/l Na2SeO3 x 5 H2O 2.997e-06 g/l Vitamin B12 9.99001e-07 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
17698	positive	growth	30	mesophilic
67770	positive	growth	32	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
17698	anaerobe
125439	anaerobe	97.2

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Aquatic	#Lake (large)
#Environmental	#Aquatic	#Sediment
#Condition	#Saline	-

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
17698	salt lake sediments	Xinjiang, Xiaokule salt lake	China	CHN	Asia
67770	Sediments of Xiaokule salt lake in Xinjiang Province		China	CHN	Asia

Taxonmaps

69479

Global distribution of 16S sequence EU627628 (>99% sequence identity) for Alkaliphilus halophilus subclade from Microbeatlas

Aquatic Samples	24
Soil Samples	14
Animal Samples	9
Plant Samples	11
Total Samples	58

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
17698	1	Risk group (German classification) According to TRBA 466

Sequence information

Genome sequences

@ref	Description	Assembly level	IMG accession	NCBI tax ID	Score	BV-BRC accession
66792	Alkaliphilus halophilus DSM 24577	complete	2901126171	522397	85.59
66792	Alkaliphilus halophilus strain DSM 24577	contig		522397	69.23	522397.3

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
17698	Alkaliphilus halophilus strain E2R 16S ribosomal RNA gene, partial sequence	EU627628	1449		522397

GC content

@ref	GC-content (mol%)	Method
17698	28.5	thermal denaturation, midpoint method (Tm)

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Alkaliphilus halophilus DSM 24577
IMG: 2901126171

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	yes	66.20	no
125439	motility	BacteriaNetⓘ	yes	73.70	no
125439	gram_stain	BacteriaNetⓘ	positive	90.20	no
125439	oxygen_tolerance	BacteriaNetⓘ	anaerobe	97.20	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Alkaliphilus halophilus strain DSM 24577
PATRIC: 522397.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	60.12	no
125438	anaerobic	anaerobicⓘ	yes	89.50	no
125438	spore-forming	spore-formingⓘ	yes	65.06	no
125438	aerobic	aerobicⓘ	no	95.99	yes
125438	thermophilic	thermophileⓘ	no	82.12	yes
125438	flagellated	motile2+ⓘ	yes	74.69	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Alkaliphilus halophilus sp. nov., a strictly anaerobic and halophilic bacterium isolated from a saline lake, and emended description of the genus Alkaliphilus.	Wu XY, Shi KL, Xu XW, Wu M, Oren A, Zhu XF	Int J Syst Evol Microbiol	10.1099/ijs.0.014084-0	2010

References

#17698	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 24577
#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) .
#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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Alkaliphilus halophilus (DSM 24577, CGMCC 1.5124, JCM 16124)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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