Algoriphagus yeomjeoni (DSM 23446, CIP 108748, JCM 12598)

Name: Algoriphagus yeomjeoni (DSM 23446, CIP 108748, JCM 12598)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 17706

Type strain

Strain Designation MSS-160

Culture col. no. DSM 23446 CIP 108748 JCM 12598 KCTC 12309 MSS-160

NCBI tax ID(s) 291403

Special Collections DSMZ JCM KCTC CIP Literature strains

History <- KCTC; KCTC 12309 <- ; MSS-160 J.-H. Yoon MSS-160. <- JH Yoon, KRIBB CIP <- 2005, JCM <- J. H. Yoon, KRIBB: strain MSS-160

Links

Algoriphagus yeomjeoni MSS-160 is an aerobe, mesophilic, Gram-negative prokaryote that was isolated from marine solar saltern.

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

Name and taxonomic classification

SI-ID 137990

JCM 12598,KCTC 12309,CIP 108748,DSM 23446

@ref 20215

Last LPSN update 2026-02-09 11:22:17

Domain Bacteria

Phylum Bacteroidota

Class Cytophagia

Order Cytophagales

Family Cyclobacteriaceae

Genus Algoriphagus

Species Algoriphagus yeomjeoni

Full scientific name Algoriphagus yeomjeoni Yoon et al. 2005

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Confidence
31404	negative	2 µm	0.55 µm	rod-shaped
67771				rod-shaped
67771	negative
125439	negative				99.6
125438					91.5
125438	negative				97.471
124015	negative			rod-shaped

Colony morphology

Pigmentation

31404

Productionyes

Culture and growth conditions

Culture medium

@ref	Name	Medium link	Composition
17214	BACTO MARINE BROTH (DIFCO 2216) (DSMZ Medium 514)	Medium recipe at MediaDive	Name: BACTO MARINE BROTH (DIFCO 2216) (DSMZ Medium 514) Composition: NaCl 19.45 g/l MgCl2 5.9 g/l Bacto peptone 5.0 g/l Na2SO4 3.24 g/l CaCl2 1.8 g/l Yeast extract 1.0 g/l KCl 0.55 g/l NaHCO3 0.16 g/l Fe(III) citrate 0.1 g/l KBr 0.08 g/l SrCl2 0.034 g/l H3BO3 0.022 g/l Na2HPO4 0.008 g/l Na-silicate 0.004 g/l NaF 0.0024 g/l (NH4)NO3 0.0016 g/l Distilled water
40057	Marine agar (MA)		Distilled water make up to (1000.000 ml);Marine agar (55.100 g)
124015	CIP Medium 13	Medium recipe at CIP

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
17214	positive	growth	28	mesophilic
31404	positive	growth	25-30	mesophilic
31404	positive	optimum	27.5	mesophilic
40057	positive	growth	30	mesophilic
67770	positive	growth	30	mesophilic
67771	positive	growth	25-30	mesophilic
124015	positive	growth	30	mesophilic
124015	negative	growth	37
124015	negative	growth	41

Culture pH

@ref	Ability	Type	PH
31404	positive	optimum	7.5
31404	positive	growth	05-08

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance
31404	aerobe
67771	aerobe

Spore formation

@ref	Spore formation	Confidence
125439		98.8

Halophily

@ref	Salt	Growth	Tested relation	Concentration
31404	NaCl	positive	growth	<9 %
31404	NaCl	positive	optimum	4.5 %

Observation

@ref	Observation
67770	quinones: MK-7
67771	quinones: MK-7

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
31404	17057 ChEBI	cellobiose	+	carbon source
31404	4853 ChEBI	esculin	+	hydrolysis
31404	28757 ChEBI	fructose	+	carbon source
31404	28260 ChEBI	galactose	+	carbon source
31404	5291 ChEBI	gelatin	+	carbon source
31404	17234 ChEBI	glucose	+	carbon source
31404	17716 ChEBI	lactose	+	carbon source
31404	17306 ChEBI	maltose	+	carbon source
31404	28053 ChEBI	melibiose	+	carbon source
124015	17632 ChEBI	nitrate	-	reduction
124015	16301 ChEBI	nitrite	-	reduction
31404	16634 ChEBI	raffinose	+	carbon source
31404	26546 ChEBI	rhamnose	+	carbon source
31404	17814 ChEBI	salicin	+	carbon source
31404	17992 ChEBI	sucrose	+	carbon source
31404	27082 ChEBI	trehalose	+	carbon source
31404	53424 ChEBI	tween 20	+	carbon source
31404	53423 ChEBI	tween 40	+	carbon source
31404	53425 ChEBI	tween 60	+	carbon source
31404	53426 ChEBI	tween 80	+	carbon source

Enzymes

@ref	Value	Activity	Ec
68382	acid phosphatase	+	3.1.3.2	from API zym
124015	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
68382	beta-galactosidase	+	3.2.1.23	from API zym
68382	beta-glucosidase	+	3.2.1.21	from API zym
68382	beta-glucuronidase	+	3.2.1.31	from API zym
124015	catalase	+	1.11.1.6
68382	cystine arylamidase	+	3.4.11.3	from API zym
31404	cytochrome oxidase	+	1.9.3.1
68382	esterase (C 4)	+		from API zym
68382	esterase lipase (C 8)	+		from API zym
68382	leucine arylamidase	+	3.4.11.1	from API zym
68382	lipase (C 14)	-		from API zym
124015	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
124015	ornithine decarboxylase	-	4.1.1.17
124015	oxidase	+
68382	trypsin	+	3.4.21.4	from API zym
124015	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
124015	-	+	+	+	-	+	+	+	+	+	+	+	+	+	+	+	+	+	+	-

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Aquatic	#Marine
#Condition	#Saline	-
#Engineered	#Industrial	#Industrial production
#Environmental	#Terrestrial	#Coast

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
17214	marine solar saltern	Yellow Sea	Republic of Korea	KOR	Asia
67770	Marine solar saltern in the Yellow Sea		Republic of Korea	KOR	Asia
67771	From marine solar saltern in the Yellow Sea		Republic of Korea	KOR	Asia
124015	Marine solar saltern	Yellow Sea	Republic of Korea	KOR	Asia

Taxonmaps

69479

Global distribution of 16S sequence AY699794 (>99% sequence identity) for Algoriphagus from Microbeatlas

Aquatic Samples	307
Soil Samples	18
Animal Samples	38
Plant Samples	5
Total Samples	368

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
17214	1	Risk group (German classification) According to TRBA 466
124015	1	Risk group (French 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	ASM325950v1 assembly for Algoriphagus yeomjeoni DSM 23446	scaffold	GCA_003259505	291403.6	2593339292	291403	70.74

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
17214	Algoriphagus yeomjeoni strain MSS-160 16S ribosomal RNA gene, partial sequence	AY699794	1476		291403
124043	Algoriphagus yeomjeoni strain DSM 23446 16S ribosomal RNA gene, partial sequence.	MW111181	649		291403

GC content

@ref	GC-content (mol%)	Method
31404	41
67770	41	high performance liquid chromatography (HPLC)
67771	41.0

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Algoriphagus yeomjeoni DSM 23446
NCBI: GCA_003259505

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	98.80	no
125439	motility	BacteriaNetⓘ	no	73.00	no
125439	gram_stain	BacteriaNetⓘ	negative	99.60	no
125439	oxygen_tolerance	BacteriaNetⓘ	aerobe	85.60	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Algoriphagus yeomjeoni DSM 23446
NCBI: GCA_003259505.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	97.47	no
125438	anaerobic	anaerobicⓘ	no	92.65	yes
125438	aerobic	aerobicⓘ	yes	83.35	yes
125438	spore-forming	spore-formingⓘ	no	84.00	no
125438	thermophilic	thermophileⓘ	no	96.23	no
125438	flagellated	motile2+ⓘ	no	91.50	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Penaeicolahalotolerans gen. nov., sp. nov., a novel bacterium of the family Cyclobacteriaceae isolated from a shrimp pond.	Ali S, Xie J, Chen Y, Cai R, Juventus AJ, Hu Z, Zhang Y, Wang H	Int J Syst Evol Microbiol	10.1099/ijsem.0.005047	2021
Phylogeny	Algoriphagus yeomjeoni sp. nov., isolated from a marine solar saltern in the Yellow Sea, Korea.	Yoon JH, Kang SJ, Jung SY, Lee CH, Oh TK	Int J Syst Evol Microbiol	10.1099/ijs.0.63479-0	2005

References

#17214	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 23446
#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 )
#27713	IJSEM 865 2005 ( DOI 10.1099/ijs.0.63479-0 , PubMed 15774676 )
#31404	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 #27713
#40057	; 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) .
#67770	Japan Collection of Microorganism (JCM) ; Curators of the JCM;
#67771	Korean Collection for Type Cultures (KCTC) ; Curators of the KCTC;
#68382	Automatically annotated from API zym .
#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 .
#124015	Collection of Institut Pasteur ; Curators of the CIP; CIP 108748
#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 )

Rate our new design

Content

About us

Algoriphagus yeomjeoni (DSM 23446, CIP 108748, JCM 12598)

Name and taxonomic classification

Morphology

Cell morphology

Colony morphology

Pigmentation

Culture and growth conditions

Culture medium

Culture temp

Culture pH

Physiology and metabolism

Oxygen tolerance

Spore formation

Halophily

Observation

Metabolite utilization

Enzymes

API zym

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_003259505

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

Help

Social Media