Salinigranum halophilum (CGMCC 1.13779, JCM 33557)

Name: Salinigranum halophilum (CGMCC 1.13779, JCM 33557)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 164603

Type strain

Culture col. no. CGMCC 1.13779 JCM 33557

NCBI tax ID(s) 2565931

Special Collections JCM

History H.-L. Cui; Jiangsu Univ., China; DYF38.

Links

Salinigranum halophilum JCM 33557 is an archaeon that was isolated from Dongying marine solar saltern.

genome sequence 16S sequence Archaea

Name and taxonomic classification

SI-ID 132980

JCM 33557

@ref 20215

Last LPSN update 2026-02-09 11:39:53

Domain Archaea

Phylum Methanobacteriota

Class Halobacteria

Order Halobacteriales

Family Haloferacaceae

Genus Salinigranum

Species Salinigranum halophilum

Full scientific name Salinigranum halophilum Zhao et al. 2020

BacDive ID	Other strains from **Salinigranum halophilum** (2)	Type strain
163752	S. halophilum JCM 30238, CGMCC 1.12860 (type strain)
163754	S. halophilum JCM 30240, CGMCC 1.12867

Morphology

Culture and growth conditions

Culture temp

@ref	Growth	Type	Temperature (°C)
67770	positive	growth	37

Physiology and metabolism

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
67770	Dongying marine solar saltern	Shandong Province	China	CHN	Asia

Taxonmaps

69479

Global distribution of 16S sequence MH628031 (>99% sequence identity) for Salinigranum halophilum subclade from Microbeatlas

Aquatic Samples	452
Soil Samples	80
Animal Samples	1
Plant Samples	1
Total Samples	534

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
67770	ASM491693v1 assembly for Salinigranum halophilum DYF38	contig	GCA_004916935	2565927.3	8001460929	2565931	74.07

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
67770	Salinigranum halophilum strain DYF38 16S ribosomal RNA gene, partial sequence	MH628031	1383		2565931

GC content

@ref	GC-content (mol%)	Method
67770	65.8	genome sequence analysis

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Salinigranum halophilum DYF38
NCBI: GCA_004916935

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	86.30	no
125439	motility	BacteriaNetⓘ	yes	54.00	no
125439	gram_stain	BacteriaNetⓘ	positive	72.70	no
125439	oxygen_tolerance	BacteriaNetⓘ	aerobe	88.40	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Salinigranum halophilum DYF38
NCBI: GCA_004916935.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	76.44	no
125438	anaerobic	anaerobicⓘ	no	76.38	no
125438	aerobic	aerobicⓘ	yes	73.88	no
125438	spore-forming	spore-formingⓘ	no	85.78	no
125438	thermophilic	thermophileⓘ	no	82.95	yes
125438	flagellated	motile2+ⓘ	no	83.03	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Salinigranum halophilum sp. nov., isolated from marine solar salterns.	Zhao YJ, Tao CQ, Zeng CL, Zhu L, Cui HL.	Int J Syst Evol Microbiol	10.1099/ijsem.0.003951	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;
#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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Salinigranum halophilum (CGMCC 1.13779, JCM 33557)

Name and taxonomic classification

Morphology

Culture and growth conditions

Culture temp

Physiology and metabolism

Isolation, sampling and environmental information

Isolation

Taxonmaps

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_004916935

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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