Pseudidiomarina aquimaris (LMG 25374, BCRC 80083, SW15)

Name: Pseudidiomarina aquimaris (LMG 25374, BCRC 80083, SW15)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 133757

Type strain

Strain Designation SW15

Culture col. no. LMG 25374 BCRC 80083 SW15

NCBI tax ID(s) 641841

Special Collections Literature strains

Links

Pseudidiomarina aquimaris SW15 is an aerobe, Gram-negative, motile prokaryote that was isolated from Coral.

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

Name and taxonomic classification

SI-ID 363670

LMG 25374,BCRC 80083

@ref 20215

Last LPSN update 2025-12-16 10:01:52

Domain Pseudomonadati

Phylum Pseudomonadota

Class Gammaproteobacteria

Order Alteromonadales

Family Idiomarinaceae

Genus Pseudidiomarina

Species Pseudidiomarina aquimaris

Full scientific name Pseudidiomarina aquimaris (Chen et al. 2012) Liu et al. 2019

Synonyms (1)

Idiomarina aquimaris

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Confidence
30417	negative	1.6 µm	0.8 µm	rod-shaped
125439	negative				90.9
125438	negative				99.5

Pigmentation

30417

Productionyes

Culture and growth conditions

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
30417	positive	growth	10-45
30417	positive	optimum	25	mesophilic

Culture pH

@ref	Ability	Type	PH	PH range
30417	positive	optimum	7.5
30417	positive	growth	06-11	alkaliphile

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
30417	aerobe
125439	obligate aerobe	97.3

Spore formation

@ref	Spore formation	Confidence
125439		95.7
125438		95

Halophily

@ref	Salt	Growth	Tested relation	Concentration
30417	NaCl	positive	growth	0.5-15 %
30417	NaCl	positive	optimum	3.50 %

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
30417	18240 ChEBI	4-hydroxy-L-proline	+	carbon source
30417	30089 ChEBI	acetate	+	carbon source
30417	16449 ChEBI	alanine	+	carbon source
30417	40585 ChEBI	alpha-cyclodextrin	+	carbon source
30417	22653 ChEBI	asparagine	+	carbon source
30417	35391 ChEBI	aspartate	+	carbon source
30417	4853 ChEBI	esculin	+	hydrolysis
30417	28757 ChEBI	fructose	+	carbon source
30417	33984 ChEBI	fucose	+	carbon source
30417	28260 ChEBI	galactose	+	carbon source
30417	24265 ChEBI	gluconate	+	carbon source
30417	17234 ChEBI	glucose	+	carbon source
30417	29987 ChEBI	glutamate	+	carbon source
30417	17754 ChEBI	glycerol	+	carbon source
30417	17596 ChEBI	inosine	+	carbon source
30417	21217 ChEBI	L-alaninamide	+	carbon source
30417	17632 ChEBI	nitrate	+	reduction
30417	28044 ChEBI	phenylalanine	+	carbon source
30417	26271 ChEBI	proline	+	carbon source
30417	17148 ChEBI	putrescine	+	carbon source
30417	17992 ChEBI	sucrose	+	carbon source
30417	26986 ChEBI	threonine	+	carbon source
30417	27082 ChEBI	trehalose	+	carbon source
30417	53424 ChEBI	tween 20	+	carbon source
30417	53425 ChEBI	tween 60	+	carbon source
30417	53426 ChEBI	tween 80	+	carbon source
30417	16704 ChEBI	uridine	+	carbon source
30417	17151 ChEBI	xylitol	+	carbon source

Enzymes

@ref	Value	Activity	Ec
30417	acid phosphatase	+	3.1.3.2
30417	alkaline phosphatase	+	3.1.3.1
30417	catalase	+	1.11.1.6
30417	cytochrome oxidase	+	1.9.3.1
30417	gelatinase	+

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host	#Invertebrates (Other)	#Cnidaria (Corals)

Isolation

30417

Sample typeCoral

Taxonmaps

69479

Global distribution of 16S sequence FJ906745 (>99% sequence identity) for Pseudidiomarina aquimaris subclade from Microbeatlas

Aquatic Samples	45
Soil Samples	2
Animal Samples	14
Plant Samples
Total Samples	61

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM398739v1 assembly for Pseudidiomarina aquimaris SW15	contig	GCA_003987395	641841.3	2895625695	641841	74.39

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
30417	Idiomarina aquimaris strain SW15 16S ribosomal RNA gene, partial sequence	FJ906745	1430		641841

GC content

30417

GC-content (mol%)51.1

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Pseudidiomarina aquimaris SW15
NCBI: GCA_003987395

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	95.70	no
125439	motility	BacteriaNetⓘ	yes	67.90	no
125439	gram_stain	BacteriaNetⓘ	negative	90.90	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	97.30	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Pseudidiomarina aquimaris SW15
NCBI: GCA_003987395.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	99.50	yes
125438	anaerobic	anaerobicⓘ	no	95.32	yes
125438	aerobic	aerobicⓘ	yes	84.35	yes
125438	spore-forming	spore-formingⓘ	no	95.00	no
125438	thermophilic	thermophileⓘ	no	96.96	yes
125438	flagellated	motile2+ⓘ	no	73.71	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Idiomarina aquimaris sp. nov., isolated from the reef-building coral Isopora palifera.	Chen MH, Sheu SY, Chen CA, Wang JT, Chen WM	Int J Syst Evol Microbiol	10.1099/ijs.0.035592-0	2011

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 )
#30417	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 #26753 (see below)
#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 .
#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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Pseudidiomarina aquimaris (LMG 25374, BCRC 80083, SW15)

Name and taxonomic classification

Morphology

Cell morphology

Pigmentation

Culture and growth conditions

Culture temp

Culture pH

Physiology and metabolism

Oxygen tolerance

Spore formation

Halophily

Metabolite utilization

Enzymes

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_003987395

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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