Alteraurantiacibacter aestuarii (KCTC 22735, JCM 16339, KYW147)

Name: Alteraurantiacibacter aestuarii (KCTC 22735, JCM 16339, KYW147)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 133618

Type strain

Strain Designation KYW147

Culture col. no. KCTC 22735 JCM 16339 KYW147 UCCCB31

NCBI tax ID(s) 650004

Special Collections JCM KCTC Literature strains UCCCB

History C. N. Seong KYW147. <- CN Seong, Sunchon Natl. Univ. Park S.C. Sunchon National University

Links

Alteraurantiacibacter aestuarii KYW147 is an aerobe, Gram-negative, rod-shaped bacterium that was isolated from seawater.

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

Name and taxonomic classification

SI-ID 27911

JCM 16339,KCTC 22735

@ref 20215

Last LPSN update 2026-02-09 11:31:59

Domain Bacteria

Phylum Pseudomonadota

Class Alphaproteobacteria

Order Sphingomonadales

Family Erythrobacteraceae

Genus Alteraurantiacibacter

Species Alteraurantiacibacter aestuarii

Full scientific name Alteraurantiacibacter aestuarii (Park et al. 2011) Xu et al. 2020

Synonyms (1)

Altererythrobacter aestuarii

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Confidence
29794	negative	4.6 µm	1 µm	rod-shaped
67771	negative
125439	negative				99.8
125438	negative				93.062

Pigmentation

29794

Productionyes

Culture and growth conditions

Culture temp

@ref	Growth	Type	Temperature (°C)
29794	positive	growth	10-40
29794	positive	optimum	30
67770	positive	growth	30
67771	positive	growth	30
67772	positive	minimum	10
67772	positive	optimum	30
67772	positive	maximum	40

Culture pH

@ref	Ability	Type	PH	PH range
67772	positive	maximum	11.0
67772	positive	minimum	5.0
29794	positive	optimum	7
67772	positive	optimum	6.0-8.0
29794	positive	growth	05-11	alkaliphile

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
29794	aerobe
67771	aerobe
125439	obligate aerobe	99.8

Spore formation

@ref	Spore formation	Confidence
125439		97.5
125438		90.697

Halophily

@ref	Salt	Growth	Tested relation	Concentration
29794	NaCl	positive	growth	0-6 %
29794	NaCl	positive	optimum	1.5 %

Observation

67770

Observationquinones: Q-10

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
29794	23652 ChEBI	dextrin	+	carbon source
29794	4853 ChEBI	esculin	+	hydrolysis
29794	15740 ChEBI	formate	+	carbon source
29794	17234 ChEBI	glucose	+	carbon source
29794	24996 ChEBI	lactate	+	carbon source
29794	51850 ChEBI	methyl pyruvate	+	carbon source
29794	53424 ChEBI	tween 20	+	carbon source
29794	53426 ChEBI	tween 80	+	carbon source

Enzymes

@ref	Value	Activity	Ec
29794	alkaline phosphatase	+	3.1.3.1
29794	catalase	+	1.11.1.6
29794	cytochrome oxidase	+	1.9.3.1

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Aquatic	#Marine

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent	Latitude	Longitude
29794	seawater
67770	Seawater
67771	From seawater	Gwangyang bay	Republic of Korea	KOR	Asia
67772	Seawater	Honam, Gwangyang	Republic of Korea	KOR	Asia	34.85	127.783 34.85/127.783

Taxonmaps

69479

Global distribution of 16S sequence FJ997597 (>99% sequence identity) for Alteraurantiacibacter aestuarii subclade from Microbeatlas

Aquatic Samples	169
Soil Samples	92
Animal Samples	77
Plant Samples	4
Total Samples	342

Interaction and safety

Risk assessment

67772

Biosafety level1

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
124043	ASM3952359v1 assembly for Alteraurantiacibacter aestuarii JCM 16339	contig	GCA_039523595			650004	61.25
67770	ASM982740v1 assembly for Alteraurantiacibacter aestuarii JCM 16339	contig	GCA_009827405	650004.3	3000756978	650004	43.74

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
29794	Altererythrobacter aestuarii strain KYW147 16S ribosomal RNA gene, partial sequence	FJ997597	1432		650004

GC content

@ref	GC-content (mol%)	Method
29794	67.2
67770	62.5	genome sequence analysis
67770	67.2	thermal denaturation, midpoint method (Tm)

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Alteraurantiacibacter aestuarii JCM 16339
NCBI: GCA_009827405

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	97.50	no
125439	motility	BacteriaNetⓘ	yes	50.40	no
125439	gram_stain	BacteriaNetⓘ	negative	99.80	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	99.80	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Altererythrobacter aestuarii strain JCM 16339
PATRIC: 650004.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	93.06	yes
125438	anaerobic	anaerobicⓘ	no	86.88	yes
125438	spore-forming	spore-formingⓘ	no	90.70	no
125438	aerobic	aerobicⓘ	yes	81.21	yes
125438	thermophilic	thermophileⓘ	no	97.86	yes
125438	flagellated	motile2+ⓘ	no	75.56	no

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 )
#26172	IJSEM 709 2011 ( DOI 10.1099/ijs.0.021196-0 , PubMed 20418413 )
#29794	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 #26172
#67770	Japan Collection of Microorganism (JCM) ; Curators of the JCM;
#67771	Korean Collection for Type Cultures (KCTC) ; Curators of the KCTC;
#67772	The University of Coimbra Bacteria Culture Collection (UCCCB) ; Curators of the UCCCB;
#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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