Qipengyuania aquimaris (KCCM 41818, JCM 12189, SW110)

Name: Qipengyuania aquimaris (KCCM 41818, JCM 12189, SW110)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 134092

Type strain

Strain Designation SW110, SW-110

Culture col. no. KCCM 41818 JCM 12189 SW110 CIP 108636 CGMCC 1.8484 1 more

NCBI tax ID(s) 255984

Special Collections JCM CIP Literature strains

History J.-H. Yoon SW-110. CIP <- 2005, JCM <- 2003, J.H. Yoon: strain SW-110

Links

Qipengyuania aquimaris SW110 is a Gram-negative, rod-shaped bacterium that was isolated from Seawater of a tidal flat of the Yellow Sea.

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

Name and taxonomic classification

SI-ID 134419

JCM 12189,CIP 108636

@ref 20215

Last LPSN update 2026-02-09 11:32:06

Domain Bacteria

Phylum Pseudomonadota

Class Alphaproteobacteria

Order Sphingomonadales

Family Erythrobacteraceae

Genus Qipengyuania

Species Qipengyuania aquimaris

Full scientific name Qipengyuania aquimaris (Yoon et al. 2004) Xu et al. 2020

Synonyms (1)

Erythrobacter aquimaris

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Confidence
31231	negative	3 µm	0.75 µm	rod-shaped
125438	negative				98.469
125439	negative				99.9
116459	negative			rod-shaped

Culture and growth conditions

Culture medium

@ref	Name	Growth	Composition	Medium link
40042	Marine agar (MA)		Distilled water make up to (1000.000 ml);Marine agar (55.100 g)
116459	CIP Medium 13			Medium recipe at CIP

Culture temp

@ref	Growth	Type	Temperature (°C)
31231	positive	growth	10-40
31231	positive	optimum	25
40042	positive	growth	30
67770	positive	growth	30
116459	positive	growth	15-37
116459	negative	growth	5
116459	negative	growth	41
116459	negative	growth	45

Culture pH

@ref	Ability	Type	PH
31231	positive	optimum	7
31231	positive	growth	6.5-7.5

Physiology and metabolism

Spore formation

@ref	Spore formation	Confidence
31231
125438		93.356
125439		99.6

Halophily

@ref	Salt	Growth	Tested relation	Concentration
31231	NaCl	positive	growth	01-10 %
31231	NaCl	positive	optimum	2.5 %
116459	NaCl	positive	growth	0-10 %

Observation

67770

Observationquinones: Q-10

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
31231	30089 ChEBI	acetate	+	carbon source
116459	16947 ChEBI	citrate	-	carbon source
31231	4853 ChEBI	esculin	+	hydrolysis
116459	4853 ChEBI	esculin	-	hydrolysis
31231	17234 ChEBI	glucose	+	carbon source
116459	606565 ChEBI	hippurate	+	hydrolysis
31231	25115 ChEBI	malate	+	carbon source
116459	15792 ChEBI	malonate	-	assimilation
116459	17632 ChEBI	nitrate	-	builds gas from
116459	17632 ChEBI	nitrate	-	reduction
116459	16301 ChEBI	nitrite	-	builds gas from
116459	16301 ChEBI	nitrite	-	reduction
31231	15361 ChEBI	pyruvate	+	carbon source
31231	30031 ChEBI	succinate	+	carbon source

Metabolite production

@ref	Chebi-ID	Metabolite	Production
116459	35581 ChEBI	indole

Metabolite tests

@ref	Chebi-ID	Metabolite	Voges-proskauer-test	Methylred-test
116459	15688 ChEBI	acetoin	-
116459	17234 ChEBI	glucose		-

Enzymes

@ref	Value	Activity	Ec
68382	acid phosphatase	+	3.1.3.2	from API zym
116459	alcohol dehydrogenase	+	1.1.1.1
68382	alkaline phosphatase	+	3.1.3.1	from API zym
68382	alpha-chymotrypsin	-	3.4.21.1	from API zym
68382	alpha-fucosidase	-	3.2.1.51	from API zym
68382	alpha-galactosidase	-	3.2.1.22	from API zym
68382	alpha-glucosidase	+	3.2.1.20	from API zym
68382	alpha-mannosidase	-	3.2.1.24	from API zym
116459	amylase	-
68382	beta-galactosidase	+	3.2.1.23	from API zym
116459	beta-galactosidase	+	3.2.1.23
68382	beta-glucosidase	-	3.2.1.21	from API zym
68382	beta-glucuronidase	-	3.2.1.31	from API zym
116459	caseinase	-	3.4.21.50
31231	catalase	+	1.11.1.6
116459	catalase	+	1.11.1.6
68382	cystine arylamidase	+	3.4.11.3	from API zym
31231	cytochrome oxidase	+	1.9.3.1
68382	esterase (C 4)	+		from API zym
68382	esterase lipase (C 8)	+		from API zym
116459	gamma-glutamyltransferase	+	2.3.2.2
116459	gelatinase	+/-
116459	lecithinase	-
68382	leucine arylamidase	+	3.4.11.1	from API zym
116459	lipase	-
68382	lipase (C 14)	+		from API zym
116459	lysine decarboxylase	-	4.1.1.18
68382	N-acetyl-beta-glucosaminidase	-	3.2.1.52	from API zym
68382	naphthol-AS-BI-phosphohydrolase	+		from API zym
116459	ornithine decarboxylase	-	4.1.1.17
116459	oxidase	+
116459	phenylalanine ammonia-lyase	-	4.3.1.24
68382	trypsin	+	3.4.21.4	from API zym
116459	tryptophan deaminase	-
116459	tween esterase	+
116459	urease	-	3.5.1.5
68382	valine arylamidase	+		from API zym

API zym

@ref	Control	Alkaline phosphatase	Esterase (C 4)	2-naphtyl caprylateEsterase Lipase (C 8)	Lipase (C 14)	L-leucyl-2-naphthylamideLeucine arylamidase	L-valyl-2-naphthylamideValine arylamidase	L-cystyl-2-naphthylamideCystine arylamidase	Trypsin	alpha- Chymotrypsin	Acid phosphatase	Naphthol-AS-BI-phosphateNaphthol-AS-BI-phosphohydrolase	alpha- Galactosidase	beta- Galactosidase	beta- Glucuronidase	alpha- Glucosidase	beta- Glucosidase	N-acetyl-beta- glucosaminidase	alpha- Mannosidase	alpha- Fucosidase
116459	-	+	+	+	+	+	+	+	+	-	+	+	-	+	-	+	-	-	-	-

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
67770	Seawater of a tidal flat of the Yellow Sea		Republic of Korea	KOR	Asia
116459	Environment, Sea water	Yellow sea	Republic of Korea	KOR	Asia

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
116459	1	Risk group (French classification)

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
67770	ASM982744v1 assembly for Qipengyuania aquimaris JCM 12189	scaffold	GCA_009827445	255984.3	2989340856	255984	77.18

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
31231	Erythrobacter aquimaris strain SW-110 16S ribosomal RNA gene, partial sequence	AY461441	1444		255984

GC content

@ref	GC-content (mol%)	Method
31231	62.6
67770	62.2	high performance liquid chromatography (HPLC)
67770	61.8	genome sequence analysis

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Qipengyuania aquimaris JCM 12189
NCBI: GCA_009827445

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	99.60	no
125439	motility	BacteriaNetⓘ	yes	63.50	no
125439	gram_stain	BacteriaNetⓘ	negative	99.90	no
125439	oxygen_tolerance	BacteriaNetⓘ	aerobe	89.90	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Erythrobacter aquimaris strain JCM 12189
PATRIC: 255984.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	98.47	yes
125438	anaerobic	anaerobicⓘ	no	95.25	no
125438	spore-forming	spore-formingⓘ	no	93.36	yes
125438	aerobic	aerobicⓘ	yes	88.26	no
125438	thermophilic	thermophileⓘ	no	97.53	yes
125438	flagellated	motile2+ⓘ	no	72.69	yes

Literature

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 )
#27556	IJSEM 1981 2004 ( DOI 10.1099/ijs.0.63100-0 , PubMed 15545421 )
#31231	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 #27556
#40042	; Curators of the CIP;
#67770	Japan Collection of Microorganism (JCM) ; Curators of the JCM;
#68382	Automatically annotated from API zym .
#116459	Collection of Institut Pasteur ; Curators of the CIP; CIP 108636
#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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