Haloplanus aerogenes (CGMCC 1.10124, JCM 16430)

Name: Haloplanus aerogenes (CGMCC 1.10124, JCM 16430)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 161778

Type strain

Culture col. no. CGMCC 1.10124 JCM 16430

NCBI tax ID(s) 660522

Special Collections JCM

History H.-L. Cui TBN37.

Links

Haloplanus aerogenes JCM 16430 is an archaeon that was isolated from Taibei marine solar saltern near Lianyungang.

genome sequence 16S sequence Archaea

Name and taxonomic classification

SI-ID 132210

JCM 16430

@ref 20215

Last LPSN update 2026-02-09 11:39:15

Domain Archaea

Phylum Methanobacteriota

Class Halobacteria

Order Halobacteriales

Family Haloferacaceae

Genus Haloplanus

Species Haloplanus aerogenes

Full scientific name Haloplanus aerogenes Cui et al. 2011

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	Taibei marine solar saltern near Lianyungang	Jiangsu	China	CHN	Asia

Taxonmaps

69479

Global distribution of 16S sequence GQ282625 (>99% sequence identity) for Haloplanus aerogenes subclade from Microbeatlas

Aquatic Samples	12
Soil Samples	13
Animal Samples	91
Plant Samples
Total Samples	116

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM385683v1 assembly for Haloplanus aerogenes JCM 16430	complete	GCA_003856835	660522.4	2914730251	660522	98.89
66792	ASM368871v1 assembly for Haloplanus aerogenes CGMCC 1.10124	scaffold	GCA_003688715	660522.3	2619618938	660522	75.18

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
67770	Haloplanus aerogenes strain TBN37 16S ribosomal RNA gene, partial sequence	GQ282625	1471		660522
124043	Haloplanus aerogenes gene for 16S rRNA, complete sequence, strain: JCM 16430.	AB663395	1471		660522

GC content

@ref	GC-content (mol%)	Method
67770	64.1	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: Haloplanus aerogenes JCM 16430
NCBI: GCA_003856835

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	88.40	no
125439	motility	BacteriaNetⓘ	yes	55.60	no
125439	gram_stain	BacteriaNetⓘ	negative	66.60	no
125439	oxygen_tolerance	BacteriaNetⓘ	aerobe	70.00	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Haloplanus aerogenes JCM 16430
NCBI: GCA_003856835.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	77.44	no
125438	anaerobic	anaerobicⓘ	no	74.65	no
125438	aerobic	aerobicⓘ	yes	81.25	no
125438	spore-forming	spore-formingⓘ	no	88.90	no
125438	thermophilic	thermophileⓘ	no	80.18	no
125438	flagellated	motile2+ⓘ	no	86.00	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Haloplanus aerogenes sp. nov., an extremely halophilic archaeon from a marine solar saltern.	Cui HL, Gao X, Yang X, Xu XW	Int J Syst Evol Microbiol	10.1099/ijs.0.025023-0	2010

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) .
#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 .
#124043	Isabel Schober, Julia Koblitz: Data extracted from sequence databases, automatically matched based on designation and taxonomy .
#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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Haloplanus aerogenes (CGMCC 1.10124, JCM 16430)

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_003856835

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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