Cite this strain

Halovenus salina (IBRC M 10946, CECT 8749, JCM 30072)

Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 163700

Type strain

Culture col. no. IBRC M 10946 CECT 8749 JCM 30072

NCBI tax ID(s) 1510225

Special Collections JCM

Links

Name and taxonomic classification

Halovenus salina JCM 30072 is a mesophilic archaeon that was isolated from Pond water of a saltern in Isla Bacuta.

mesophilic genome sequence 16S sequence Archaea

Culture Collection Numbers

IBRC M 10946 CECT 8749 JCM 30072

Last LPSN update 2024-12-09 10:52:41

Domain Archaea

Phylum Methanobacteriota

Class Halobacteria

Order Halobacteriales

Family Halobacteriaceae

Genus Halovenus

Species Halovenus salina

Full scientific name Halovenus salina Infante-Domínguez et al. 2015

Morphology

Cell morphology

@ref	Motility	Confidence
125438		91

Culture and growth conditions

Culture temp

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

Physiology and metabolism

Observation

67770

Observationquinones: MK-8, MK-8(H₂)

Spore formation

@ref	Spore formation	Confidence
125439		90.3

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
67770	Pond water of a saltern in Isla Bacuta	Hvelva	Spain	ESP	Europe

Taxonmaps

69479

Global distribution of 16S sequence KJ661744 (>99% sequence identity) for Halovenus salina subclade from Microbeatlas

Aquatic Samples
Soil Samples
Animal Samples	1
Plant Samples
Total Samples	1

Safety information

Sequence information

GC content

@ref	GC-content (mol%)	Method
67770	63.1	thermal denaturation, midpoint method (Tm)

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
67770	Halovenus salina strain ASP54 16S ribosomal RNA gene, partial sequence	KJ661744	1402		1510225
124043	Halovenus salina strain JCM 30072 16S ribosomal RNA gene, partial sequence.	OP218104	1377		1510225

Genome sequences

@ref	Description	Accession	Assembly level	Database	NCBI tax ID
66792	Halovenus salina JCM 30072	GCA_026410925	complete		1510225

Genome-based predictions

Predictions

Predictions from Diaspora project based on:
Halovenus salina JCM 30072
NCBI: GCA_026410925

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	90.30	no
125439	motility	BacteriaNetⓘ	no	66.90	no
125439	gram_stain	BacteriaNetⓘ	positive	62.90	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate anaerobe	63.60	no

Predictions from Diaspora project based on:
Halovenus salina JCM 30072
NCBI: GCA_026410925.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	76.90	no
125438	anaerobic	anaerobicⓘ	no	79.30	no
125438	aerobic	aerobicⓘ	yes	71.49	no
125438	spore-forming	spore-formingⓘ	no	83.57	no
125438	thermophilic	thermophileⓘ	no	80.39	yes
125438	flagellated	motile2+ⓘ	no	91.00	no

External links

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Halovenus salina sp. nov., an extremely halophilic archaeon isolated from a saltern.	Infante-Dominguez C, Corral P, Sanchez-Porro C, Ventosa A	Int J Syst Evol Microbiol	10.1099/ijs.0.000370	2015

Culture collection no.

Culture collection no.
IBRC M 10946
CECT 8749
JCM 30072

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 .

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