Haloarcula mannanilytica (KCTC 4287, JCM 33835)

Name: Haloarcula mannanilytica (KCTC 4287, JCM 33835)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 164675

Type strain

Culture col. no. KCTC 4287 JCM 33835

NCBI tax ID(s) 2509225

Special Collections JCM KCTC

History JCM <-- H. Minegishi; Toyo Univ., Japan; MD130-1.

Links

Haloarcula mannanilytica JCM 33835 is an archaeon that was isolated from Commercial salt made in Ishikawa.

genome sequence 16S sequence Archaea

Name and taxonomic classification

SI-ID 24499

KCTC 4287,JCM 33835

@ref 20215

Last LPSN update 2026-05-29 08:45:28

Domain Archaea

Phylum Methanobacteriota

Class Halobacteria

Order Halobacteriales

Family Haloarculaceae

Genus Haloarcula

Species Haloarcula mannanilytica

Full scientific name Haloarcula mannanilytica Enomoto et al. 2020

Morphology

Culture and growth conditions

Culture temp

@ref	Growth	Type	Temperature (°C)
67770	positive	growth	40

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	facultative anaerobe	93.226

Spore formation

@ref	Spore formation	Confidence
125439		98.627

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Country	Country ISO 3 Code	Continent
67770	Commercial salt made in Ishikawa	Japan	JPN	Asia

Taxonmaps

69479

Global distribution of 16S sequence LC382261 (>99% sequence identity) for Haloarcula from Microbeatlas

Aquatic Samples	11
Soil Samples	13
Animal Samples	2
Plant Samples	0
Total Samples	26

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
67770	ASM540612v1 assembly for Haloarcula mannanilytica MD130-1	contig	GCA_005406125	2509225.3	3002068148	2509225	64.84

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
67770	Haloarcula sp. MD130-1 gene for 16S ribosomal RNA, partial sequence	LC382261	1472		2509225

GC content

@ref	GC-content (mol%)	Method
67770	62.1	genome sequence analysis

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM540612v1 assembly for Haloarcula mannanilytica MD130-1
NCBI: GCA_005406125

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	facultative anaerobe	93.23	no
125439	motility	BacteriaNetⓘ	yes	47.66	no
125439	gram_stain	BacteriaNetⓘ	negative	89.37	no
125439	spore_formation	BacteriaNetⓘ	no	98.63	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Haloarcula mannanilytica MD-130
NCBI: GCA_005406125.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	78.61	no
125438	anaerobic	anaerobicⓘ	no	80.98	no
125438	aerobic	aerobicⓘ	yes	76.53	no
125438	spore-forming	spore-formingⓘ	no	83.27	no
125438	thermophilic	thermophileⓘ	no	84.42	no
125438	flagellated	motile2+ⓘ	no	84.50	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Haloarcula mannanilytica sp. nov., a galactomannan-degrading haloarchaeon isolated from commercial salt.	Enomoto S, Shimane Y, Ihara K, Kamekura M, Itoh T, Ohkuma M, Takahashi-Ando N, Fukushima Y, Yoshida Y, Usami R, Takai K, Minegishi H	Int J Syst Evol Microbiol	10.1099/ijsem.0.004535	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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Haloarcula mannanilytica (KCTC 4287, JCM 33835)

Name and taxonomic classification

Morphology

Culture and growth conditions

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Isolation, sampling and environmental information

Isolation

Taxonmaps

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_005406125

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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