Luteipulveratus halotolerans (ATCC TSD-4, JCM 30660)

Name: Luteipulveratus halotolerans (ATCC TSD-4, JCM 30660)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 163849

Type strain

Culture col. no. ATCC TSD-4 JCM 30660

NCBI tax ID(s) 1631356

Special Collections JCM

History JCM <-- T. C. Yeo; Sarawak Biodivers. Centre, Malaysia; C296001.

Links

Luteipulveratus halotolerans JCM 30660 is a bacterium that was isolated from Soil.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 28168

ATCC TSD-4,JCM 30660

@ref 20215

Last LPSN update 2026-05-29 08:45:16

Domain Bacteria

Phylum Actinomycetota

Class Actinomycetes

Order Micrococcales

Family Dermacoccaceae

Genus Luteipulveratus

Species Luteipulveratus halotolerans

Full scientific name Luteipulveratus halotolerans Juboi et al. 2015

Morphology

Cell morphology

@ref	Gram stain	Confidence	Motility
125439	positive	98.42
125438		91.1

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	obligate aerobe	99.69
125438	aerobe	91.813

Observation

67770

Observationquinones: MK-8(H₄), MK-8, MK-8(H₂)

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
67770	Soil	Sarawak	Malaysia	MYS	Asia

Taxonmaps

69479

Global distribution of 16S sequence KP844656 (>99% sequence identity) for Luteipulveratus halotolerans from Microbeatlas

Aquatic Samples	34
Soil Samples	32
Animal Samples	1101
Plant Samples	8
Total Samples	1175

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
67770	ASM124774v1 assembly for Luteipulveratus halotolerans C296001	contig	GCA_001247745	1631356.5	2645728084	1631356	73.61

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
67770	Luteipulveratus halotolerans strain C296001 16S ribosomal RNA gene, partial sequence	KP844656	1371		1631356

GC content

@ref	GC-content (mol%)	Method
67770	70.1	genome sequence analysis
67770	71.7	high performance liquid chromatography (HPLC)

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM124774v1 assembly for Luteipulveratus halotolerans C296001
NCBI: GCA_001247745

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	99.69	no
125439	motility	BacteriaNetⓘ	no	78.23	no
125439	gram_stain	BacteriaNetⓘ	positive	98.42	no
125439	spore_formation	BacteriaNetⓘ	no	86.36	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Luteipulveratus halotolerans C296001
NCBI: GCA_001247745.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	89.25	no
125438	anaerobic	anaerobicⓘ	no	97.19	no
125438	aerobic	aerobicⓘ	yes	91.81	no
125438	spore-forming	spore-formingⓘ	no	57.86	no
125438	thermophilic	thermophileⓘ	no	97.00	yes
125438	flagellated	motile2+ⓘ	no	91.10	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Luteipulveratus halotolerans sp. nov., an actinobacterium (Dermacoccaceae) from forest soil.	Juboi H, Basik AA, Shamsul SSG, Arnold P, Schmitt EK, Sanglier JJ, Yeo TC	Int J Syst Evol Microbiol	10.1099/ijsem.0.000548	2015

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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Luteipulveratus halotolerans (ATCC TSD-4, JCM 30660)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture temp

Physiology and metabolism

Oxygen tolerance

Observation

Isolation, sampling and environmental information

Isolation

Taxonmaps

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_001247745

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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