Pseudalgibacter alginicilyticus (DSM 26350, CGMCC 1.11025, JCM 18496)

Name: Pseudalgibacter alginicilyticus (DSM 26350, CGMCC 1.11025, JCM 18496)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 133004

Type strain

Strain Designation HZ22

Culture col. no. DSM 26350 CGMCC 1.11025 JCM 18496 HZ22

NCBI tax ID(s) 1736674

Special Collections DSMZ JCM

History DSMZ <- Y. Ding, Zhejiang Univ., College of Life Scs., Hangzhou, China; HZ22 <- F.-Y. Chi JCM <-- Y. Ding HZ22.

Links

Pseudalgibacter alginicilyticus HZ22 is a bacterium that was isolated from brown seaweed .

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 405863

JCM 18496,DSM 26350

@ref 20215

Last LPSN update 2026-05-29 08:37:59

Domain Bacteria

Phylum Bacteroidota

Class Flavobacteriia

Order Flavobacteriales

Family Flavobacteriaceae

Genus Pseudalgibacter

Species Pseudalgibacter alginicilyticus

Full scientific name Pseudalgibacter alginicilyticus (Sun et al. 2016) Li et al. 2022

Synonyms (2)

Algibacter alginicilyticus
Algibacter alginolytica

Morphology

Cell morphology

@ref	Confidence	Gram stain
125438	95
125438	97.941	negative
125439	99.58	negative

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
24792	MODIFIED BACTO MARINE BROTH (DIFCO 2216) (DSMZ Medium 1517)		Medium recipe at MediaDive	Name: MODIFIED BACTO MARINE BROTH (DIFCO 2216) (DSMZ Medium 1517) 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

Culture temp

@ref	Growth	Type	Temperature (°C)
24792	positive	growth	28
67770	positive	growth	28

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	97.078

Spore formation

@ref	Spore formation	Confidence
125438		91.718
125439		98.638

Observation

67770

Observationquinones: MK-6

Pathway annotation

Computationally determined by

@ref	pathway	enzyme coverage	annotated reactions
66794	cellulose degradation	100	5 of 5
66794	kanosamine biosynthesis II	100	2 of 2
66794	CMP-KDO biosynthesis	100	4 of 4
66794	gluconeogenesis	100	8 of 8
66794	reductive acetyl coenzyme A pathway	100	7 of 7
66794	cis-vaccenate biosynthesis	100	2 of 2
66794	palmitate biosynthesis	100	22 of 22
66794	ppGpp biosynthesis	100	4 of 4
66794	adipate degradation	100	2 of 2
66794	vitamin K metabolism	100	5 of 5
66794	coenzyme A metabolism	100	4 of 4
66794	anapleurotic synthesis of oxalacetate	100	1 of 1
66794	sulfopterin metabolism	100	4 of 4
66794	CDP-diacylglycerol biosynthesis	100	2 of 2
66794	UDP-GlcNAc biosynthesis	100	3 of 3
66794	suberin monomers biosynthesis	100	2 of 2
66794	folate polyglutamylation	100	1 of 1
66794	tetrahydrofolate metabolism	92.86	13 of 14
66794	threonine metabolism	90	9 of 10
66794	chorismate metabolism	88.89	8 of 9
66794	molybdenum cofactor biosynthesis	88.89	8 of 9
66794	NAD metabolism	88.89	16 of 18
66794	lipid A biosynthesis	88.89	8 of 9
66794	C4 and CAM-carbon fixation	87.5	7 of 8
66794	isoleucine metabolism	87.5	7 of 8
66794	photosynthesis	85.71	12 of 14
66794	heme metabolism	85.71	12 of 14
66794	phenylalanine metabolism	84.62	11 of 13
66794	leucine metabolism	84.62	11 of 13
66794	glutamate and glutamine metabolism	82.14	23 of 28
66794	pentose phosphate pathway	81.82	9 of 11
66794	Entner Doudoroff pathway	80	8 of 10
66794	propionate fermentation	80	8 of 10
66794	glycine betaine biosynthesis	80	4 of 5
66794	methylglyoxal degradation	80	4 of 5
66794	starch degradation	80	8 of 10
66794	peptidoglycan biosynthesis	80	12 of 15
66794	metabolism of amino sugars and derivatives	80	4 of 5
66794	serine metabolism	77.78	7 of 9
66794	CO2 fixation in Crenarchaeota	77.78	7 of 9
66794	valine metabolism	77.78	7 of 9
66794	tryptophan metabolism	76.32	29 of 38
66794	acetate fermentation	75	3 of 4
66794	butanoate fermentation	75	3 of 4
66794	glycogen biosynthesis	75	3 of 4
66794	purine metabolism	74.47	70 of 94
66794	flavin biosynthesis	73.33	11 of 15
66794	degradation of hexoses	72.22	13 of 18
66794	ubiquinone biosynthesis	71.43	5 of 7
66794	propanol degradation	71.43	5 of 7
66794	degradation of pentoses	67.86	19 of 28
66794	L-lactaldehyde degradation	66.67	2 of 3
66794	octane oxidation	66.67	2 of 3
66794	d-mannose degradation	66.67	6 of 9
66794	pyrimidine metabolism	66.67	30 of 45
66794	formaldehyde oxidation	66.67	2 of 3
66794	aspartate and asparagine metabolism	66.67	6 of 9
66794	acetoin degradation	66.67	2 of 3
66794	acetyl CoA biosynthesis	66.67	2 of 3
66794	non-pathway related	65.79	25 of 38
66794	glycolysis	64.71	11 of 17
66794	lipid metabolism	64.52	20 of 31
66794	citric acid cycle	64.29	9 of 14
66794	glutathione metabolism	64.29	9 of 14
66794	d-xylose degradation	63.64	7 of 11
66794	proline metabolism	63.64	7 of 11
66794	dTDPLrhamnose biosynthesis	62.5	5 of 8
66794	6-hydroxymethyl-dihydropterin diphosphate biosynthesis	62.5	5 of 8
66794	ketogluconate metabolism	62.5	5 of 8
66794	sulfate reduction	61.54	8 of 13
66794	methionine metabolism	61.54	16 of 26
66794	cysteine metabolism	61.11	11 of 18
66794	glycogen metabolism	60	3 of 5
66794	myo-inositol biosynthesis	60	6 of 10
66794	arachidonate biosynthesis	60	3 of 5
66794	alanine metabolism	58.62	17 of 29
66794	histidine metabolism	58.62	17 of 29
66794	degradation of sugar acids	56	14 of 25
66794	nitrate assimilation	55.56	5 of 9
66794	vitamin B6 metabolism	54.55	6 of 11
66794	arginine metabolism	50	12 of 24
66794	lysine metabolism	50	21 of 42
66794	isoprenoid biosynthesis	50	13 of 26
66794	tyrosine metabolism	50	7 of 14
66794	ethanol fermentation	50	1 of 2
66794	glycine metabolism	50	5 of 10
66794	cyclohexanol degradation	50	2 of 4
66794	glycolate and glyoxylate degradation	50	3 of 6
66794	urea cycle	46.15	6 of 13
66794	vitamin B1 metabolism	46.15	6 of 13
66794	4-hydroxymandelate degradation	44.44	4 of 9
66794	oxidative phosphorylation	43.96	40 of 91
66794	mevalonate metabolism	42.86	3 of 7
66794	cardiolipin biosynthesis	42.86	3 of 7
66794	degradation of aromatic, nitrogen containing compounds	41.67	5 of 12
66794	carotenoid biosynthesis	40.91	9 of 22
66794	4-hydroxyphenylacetate degradation	40	4 of 10
66794	elloramycin biosynthesis	40	2 of 5
66794	gallate degradation	40	2 of 5
66794	lipoate biosynthesis	40	2 of 5
66794	O-antigen biosynthesis	40	2 of 5
66794	androgen and estrogen metabolism	37.5	6 of 16
66794	ascorbate metabolism	36.36	8 of 22
66794	metabolism of disaccharids	36.36	4 of 11
66794	polyamine pathway	34.78	8 of 23
66794	cyanate degradation	33.33	1 of 3
66794	(5R)-carbapenem carboxylate biosynthesis	33.33	1 of 3
66794	pantothenate biosynthesis	33.33	2 of 6
66794	selenocysteine biosynthesis	33.33	2 of 6
66794	IAA biosynthesis	33.33	1 of 3
66794	enterobactin biosynthesis	33.33	1 of 3
66794	degradation of sugar alcohols	31.25	5 of 16
66794	phenylpropanoid biosynthesis	30.77	4 of 13
66794	coenzyme M biosynthesis	30	3 of 10
66794	dolichyl-diphosphooligosaccharide biosynthesis	27.27	3 of 11
66794	3-phenylpropionate degradation	26.67	4 of 15
66794	toluene degradation	25	1 of 4
66794	lactate fermentation	25	1 of 4
66794	catecholamine biosynthesis	25	1 of 4
66794	biotin biosynthesis	25	1 of 4
66794	phosphatidylethanolamine bioynthesis	23.08	3 of 13

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host	#Algae	#Brown Algae

Isolation

@ref	Sample type	Host species	Geographic location	Country	Country ISO 3 Code	Continent
24792	brown seaweed (Laminaria japonica)	Laminaria japonica	East China Sea, Zhoushan Islands (Zhejiang)	China	CHN	Asia
67770	Surface of a brown seaweed, Laminaria japonica	Laminaria japonica	Zhejiang	China	CHN	Asia

Taxonmaps

69479

Global distribution of 16S sequence JN620360 (>99% sequence identity) for Algibacter alginicilyticus subclade from Microbeatlas

Aquatic Samples	275
Soil Samples	10
Animal Samples	3
Plant Samples	0
Total Samples	288

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
24792	1	Risk group (German classification)

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM131022v1 assembly for Pseudalgibacter alginicilyticus HZ22	complete	GCA_001310225	1736674.21	2654587648	1736674	99.75

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
24792	Pseudalgibacter alginicilyticus strain HZ22 16S ribosomal RNA gene, partial sequence	JN620360	1479		1736674

GC content

@ref	GC-content (mol%)	Method
24792	31.8	high performance liquid chromatography (HPLC)

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM131022v1 assembly for Pseudalgibacter alginicilyticus HZ22
BV-BRC: 1736674.21

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	97.08	no
125439	motility	BacteriaNetⓘ	no	64.76	no
125439	gram_stain	BacteriaNetⓘ	negative	99.58	no
125439	spore_formation	BacteriaNetⓘ	no	98.64	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Algibacter alginicilyticus HZ22
NCBI: GCA_001310225.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	97.94	no
125438	anaerobic	anaerobicⓘ	no	94.05	no
125438	aerobic	aerobicⓘ	yes	78.05	no
125438	spore-forming	spore-formingⓘ	no	91.72	no
125438	thermophilic	thermophileⓘ	no	98.30	no
125438	flagellated	motile2+ⓘ	no	95.00	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 )
#24792	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 26350
#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) .
#66794	Antje Chang, Lisa Jeske, Sandra Ulbrich, Julia Hofmann, Julia Koblitz, Ida Schomburg, Meina Neumann-Schaal, Dieter Jahn, Dietmar Schomburg: BRENDA, the ELIXIR core data resource in 2021: new developments and updates. Nucleic Acids Res. 49: D498 - D508 2020 ( DOI 10.1093/nar/gkaa1025 , PubMed 33211880 )
#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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