Christiangramia salexigens (KACC 18894, JCM 31560, LPB0144)

Name: Christiangramia salexigens (KACC 18894, JCM 31560, LPB0144)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 159710

Type strain

Strain Designation LPB0144

Culture col. no. KACC 18894 JCM 31560 LPB0144

NCBI tax ID(s) 1913577

Special Collections JCM Literature strains

History H. Yi; Korea Univ., South Korea; LPB0144.

Links

Christiangramia salexigens LPB0144 is an aerobe, Gram-negative, motile bacterium that forms circular colonies and was isolated from seawater.

Gram-negative motile rod-shaped colony-forming aerobe genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 28373

JCM 31560

@ref 20215

Last LPSN update 2026-02-09 11:38:43

Domain Bacteria

Phylum Bacteroidota

Class Flavobacteriia

Order Flavobacteriales

Family Flavobacteriaceae

Genus Christiangramia

Species Christiangramia salexigens

Full scientific name Christiangramia salexigens (Shin et al. 2018) Deshmukh and Oren 2023

Synonyms (1)

Gramella salexigens

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Flagellum arrangement	Confidence
66602	negative	1.4-2.8 µm	0.4-0.6 µm	rod-shaped	gliding
125439	negative					98.8
125438						94.5
125438	negative					97.969

Colony morphology

@ref	Colony color	Colony shape	Medium used
66602	yellow-orange	circular	Marine agar (MA) 2216

Pigmentation

@ref	Production	Name
66602		flexirubin type pigments

Culture and growth conditions

Culture medium

@ref	Name	Growth
66602	Marine agar (MA) 2216

Culture temp

@ref	Growth	Type	Temperature (°C)
66602	positive	optimum	30
66602	positive	growth	4-40
67770	positive	growth	25

Culture pH

@ref	Ability	Type	PH	PH range
66602	positive	optimum	6.5-7
66602	positive	growth	6.5-8.5	alkaliphile

Physiology and metabolism

Oxygen tolerance

66602

Oxygen toleranceaerobe

Spore formation

@ref	Spore formation	Confidence
66602
125439		96.4
125438		90.691

Halophily

@ref	Salt	Growth	Tested relation	Concentration
66602	NaCl	positive	growth	2-14 %(w/v)
66602	NaCl	positive	optimum	2 %(w/v)

Observation

67770

Observationquinones: MK-6

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
66602	17128 ChEBI	adipate	-	carbon source
66602	2509 ChEBI	agar	-	hydrolysis
66602	58187 ChEBI	alginate	-	hydrolysis
66602	85146 ChEBI	carboxymethylcellulose	-	hydrolysis
66602		casein	-	hydrolysis
66602	17029 ChEBI	chitin	-	hydrolysis
66602	53258 ChEBI	citric acid	-	carbon source
66602	17634 ChEBI	D-glucose	-	carbon source
66602	16899 ChEBI	D-mannitol	-	carbon source
66602	16024 ChEBI	D-mannose	-	carbon source
66602	27689 ChEBI	decanoate	-	carbon source
66602	16991 ChEBI	dna	+	hydrolysis
66602	4853 ChEBI	esculin	+	hydrolysis
66602	5291 ChEBI	gelatin	+	hydrolysis
66602	24265 ChEBI	gluconate	-	carbon source
66602	17234 ChEBI	glucose	-	fermentation
66602	17368 ChEBI	hypoxanthine	-	hydrolysis
66602	30849 ChEBI	L-arabinose	-	carbon source
66602	17895 ChEBI	L-tyrosine	+	hydrolysis
66602	25115 ChEBI	malate	-	carbon source
66602	17306 ChEBI	maltose	-	carbon source
66602	59640 ChEBI	N-acetylglucosamine	-	carbon source
66602	17632 ChEBI	nitrate	-	reduction
66602	18401 ChEBI	phenylacetate	-	carbon source
66602	28017 ChEBI	starch	+	hydrolysis
66602	53424 ChEBI	tween 20	+	hydrolysis
66602	53423 ChEBI	tween 40	+	hydrolysis
66602	53425 ChEBI	tween 60	+	hydrolysis
66602	53426 ChEBI	tween 80	+	hydrolysis
66602	15318 ChEBI	xanthine	-	hydrolysis

Antibiotic resistance

@ref	ChEBI	Metabolite	Sensitivity conc.	Resistance conc.
66602	28971	ampicillin	50 µg (disc)
66602	17698	chloramphenicol	50 µg (disc)
66602	6104	kanamycin		50 µg (disc)
66602	17076	streptomycin		50 µg (disc)

Metabolite production

@ref	Chebi-ID	Metabolite	Production
66602	16136 ChEBI	hydrogen sulfide
66602	35581 ChEBI	indole

Enzymes

@ref	Value	Activity	Ec
66602	acid phosphatase	+	3.1.3.2
66602	alkaline phosphatase	+	3.1.3.1
66602	alpha-chymotrypsin	-	3.4.21.1
66602	alpha-fucosidase	-	3.2.1.51
66602	alpha-galactosidase	-	3.2.1.22
66602	alpha-glucosidase	+	3.2.1.20
66602	alpha-mannosidase	-	3.2.1.24
66602	beta-galactosidase	-	3.2.1.23
66602	beta-glucosidase	-	3.2.1.21
66602	beta-glucuronidase	-	3.2.1.31
66602	catalase	+	1.11.1.6
66602	cystine arylamidase	+	3.4.11.3
66602	cytochrome oxidase	+	1.9.3.1
66602	esterase (C 4)	+
66602	esterase Lipase (C 8)	+
66602	leucine arylamidase	+	3.4.11.1
66602	lipase (C 14)	-
66602	N-acetyl-beta-glucosaminidase	-	3.2.1.52
66602	naphthol-AS-BI-phosphohydrolase	+
66602	trypsin	+	3.4.21.4
66602	valine arylamidase	+

Fatty acid profile

Metadata FA analysis

@ref

66602

Fatty acid	Percentage
C15:0 anteiso	13.7
C15:0 iso	12.4
C16:0 iso	12.2
C17:0 iso 3OH	11
C17:0 2OH	7.5
C17:1 w6c	5.8
C16:1 w6c and/or C16:1 w7c	5.6
C16:0 iso 3OH	4.9
C17:1 iso w9c / C16:0 10-methyl	4.8
C17:1 anteiso w10c	4.2
C16:1 iso H	2.9
C15:0 2OH	2.8
C17:1 w8c	2.2
C15:1 w6c	1.9
C14:0 iso	1.2
C15:0 iso 3OH	1.2
C17:0 iso	0.7
C15:1 iso G	0.1

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	Enrichment culture	Enrichment culture temperature	Isolation procedure
66602	seawater	South Sea, Oryukdo Island, Busan	Republic of Korea	KOR	Asia	35.0911	129.127 35.0911/129.127	marine agar	25, 30	standard dilution plating technique at 25°C on marine agar and was cultivated routinely at 30°C on MA.
67770	Seawater of South Sea		Republic of Korea	KOR	Asia

Taxonmaps

69479

Global distribution of 16S sequence KX066854 (>99% sequence identity) for Gramella salexigens subclade from Microbeatlas

Aquatic Samples	162
Soil Samples	15
Animal Samples	60
Plant Samples
Total Samples	237

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	IMG accession	NCBI tax ID	Score
66792	ASM188900v1 assembly for Christiangramia salexigens LPB0144	complete	GCA_001889005	2718217989	1913577	91.69

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
66602	Christiangramia salexigens strain LPB0144 16S ribosomal RNA gene, partial sequence	KX066854	1488		1913577

GC content

@ref	GC-content (mol%)	Method
66602	38.2	genome sequence analysis

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Gramella salexigens LPB0144
IMG: 2718217989

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	96.40	no
125439	motility	BacteriaNetⓘ	no	69.90	no
125439	gram_stain	BacteriaNetⓘ	negative	98.80	no
125439	oxygen_tolerance	BacteriaNetⓘ	facultative aerobe	77.10	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Gramella salexigens LPB0144
NCBI: GCA_001889005.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	97.97	no
125438	anaerobic	anaerobicⓘ	no	95.76	yes
125438	aerobic	aerobicⓘ	yes	86.40	yes
125438	spore-forming	spore-formingⓘ	no	90.69	no
125438	thermophilic	thermophileⓘ	no	97.85	yes
125438	flagellated	motile2+ⓘ	no	94.50	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Gramella salexigens sp. nov., isolated from seawater.	Shin SK, Kim E, Yi H	Int J Syst Evol Microbiol	10.1099/ijsem.0.002850	2018

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 )
#66602	Su-Kyoung Shin, Eunji Kim, Hana Yi: Gramella salexigens sp. nov., isolated from seawater. IJSEM 68: 2381 - 2384 2018 ( DOI 10.1099/ijsem.0.002850 , PubMed 29851376 )
#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;
#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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Christiangramia salexigens (KACC 18894, JCM 31560, LPB0144)

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

Antibiotic resistance

Metabolite production

Enzymes

Fatty acid profile?

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_001889005

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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Fatty acid profile