Idiomarina fontislapidosi (DSM 16139, F23)

Name: Idiomarina fontislapidosi (DSM 16139, F23)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 6231

Type strain

Strain Designation F23

Culture col. no. DSM 16139 F23

NCBI tax ID(s) 263723

Special Collections DSMZ Literature strains

History DSMZ <- E. Quesada; F23 <- M. J. Martínez-Cánovas

Links

Idiomarina fontislapidosi F23 is a Gram-negative, motile, rod-shaped bacterium that was isolated from soil from the temporally emerged banks of a hypersaline pool.

Gram-negative motile rod-shaped genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 128266

LMG 22169,CECT 5859,DSM 16139,CIP 108573

@ref 20215

Last LPSN update 2026-05-29 08:26:21

Domain Bacteria

Phylum Pseudomonadota

Class Gammaproteobacteria

Order Alteromonadales

Family Idiomarinaceae

Genus Idiomarina

Species Idiomarina fontislapidosi

Full scientific name Idiomarina fontislapidosi Martínez-Cánovas et al. 2004

BacDive ID	Other strains from **Idiomarina fontislapidosi** (1)	Type strain
172821	I. fontislapidosi F23, CIP 108573, CECT 5859, LMG 22169 (type strain)

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Motility
31269	negative	3.5 µm	0.75 µm	rod-shaped

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
6308	IDIOMARINA MEDIUM (DSMZ Medium 1016)		Medium recipe at MediaDive	Name: IDIOMARINA MEDIUM (DSMZ Medium 1016) Composition: NaCl 60.0 g/l Agar 18.0 g/l Glucose 10.0 g/l Proteose peptone 5.0 g/l Malt extract 3.0 g/l Yeast extract 3.0 g/l Distilled water
40024	Marine agar (MA)			Distilled water make up to (1000.000 ml);Marine agar (55.100 g)

Culture temp

@ref	Growth	Type	Temperature (°C)
6308	positive	growth	28-32
31269	positive	growth	04-45
31269	positive	optimum	32
40024	positive	growth	30

Culture pH

@ref	Ability	Type	PH	PH range
31269	positive	optimum	7.5
31269	positive	growth	05-10	alkaliphile

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	93.98

Spore formation

@ref	Spore formation	Confidence
31269
125439		99.127

Halophily

@ref	Salt	Growth	Tested relation	Concentration
31269	NaCl	positive	growth	0.5-20 %
31269	NaCl	positive	optimum	4 %

Observation

31269

Observationaggregates in clumps

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
31269	4853 ChEBI	esculin	+	hydrolysis
31269	53424 ChEBI	tween 20	+	carbon source
31269	53426 ChEBI	tween 80	+	carbon source

Metabolite production

@ref	Chebi-ID	Metabolite	Production
31269	16136 ChEBI	hydrogen sulfide

Enzymes

@ref	Value	Activity	Ec
31269	catalase	+	1.11.1.6

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Aquatic	-
#Environmental	#Terrestrial	#Soil
#Condition	#Saline	-

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
6308	soil from the temporally emerged banks of a hypersaline pool	Malaga, Fuente de Piedra	Spain	ESP	Europe

Taxonmaps

69479

Global distribution of 16S sequence AY526861 (>99% sequence identity) for Idiomarina from Microbeatlas

Aquatic Samples	1160
Soil Samples	48
Animal Samples	360
Plant Samples	27
Total Samples	1595

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
6308	1	Risk group (German classification) According to TRBA 466

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM398702v1 assembly for Idiomarina fontislapidosi F23	contig	GCA_003987025	263723.5	2843563119	263723	70.19

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
31269	Idiomarina fontislapidosi 16S ribosomal RNA gene, partial sequence	AY526861	1455		263723

GC content

6308

GC-content (mol%)46

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM398702v1 assembly for Idiomarina fontislapidosi F23
NCBI: GCA_003987025

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	93.98	no
125439	gram_stain	BacteriaNetⓘ	negative	76.03	no
125439	motility	BacteriaNetⓘ	yes	66.76	no
125439	spore_formation	BacteriaNetⓘ	no	99.13	no

Literature

References

#6308	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 16139
#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 )
#27589	IJSEM 1793 2004 ( DOI 10.1099/ijs.0.63172-0 , PubMed 15388745 )
#31269	Barberan A, Caceres Velazquez H, Jones S, Fierer N.: Hiding in Plain Sight: Mining Bacterial Species Records for Phenotypic Trait Information. mSphere 2: 2017 ( DOI 10.1128/mSphere.00237-17 , PubMed 28776041 ) - originally annotated from #27589
#40024	; Curators of the CIP;
#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) .
#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 .
#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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