Phaeobacter porticola (DSM 103148, LMG 29594, P97)

Name: Phaeobacter porticola (DSM 103148, LMG 29594, P97)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 140086

Type strain

Strain Designation P97

Culture col. no. DSM 103148 LMG 29594 P97

NCBI tax ID(s) 1844006

Special Collections DSMZ Literature strains

History <- S. Breider, ICMB, Univ. Oldenburg, Germany; P97 <- S. Breider, Univ. Oldenburg, Germany; P97

Links

Phaeobacter porticola P97 is an aerobe, Gram-negative, motile bacterium that forms circular colonies and was isolated from barnacle.

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

Name and taxonomic classification

SI-ID 407334

LMG 29594,DSM 103148

@ref 20215

Last LPSN update 2026-02-09 11:33:31

Domain Bacteria

Phylum Pseudomonadota

Class Alphaproteobacteria

Order Rhodobacterales

Family Roseobacteraceae

Genus Phaeobacter

Species Phaeobacter porticola

Full scientific name Phaeobacter porticola Breider et al. 2017

BacDive ID	Other strains from **Phaeobacter porticola** (2)	Type strain
140087	P. porticola P100, DSM 103149, LMG 29595
140088	P. porticola P104, DSM 103150, LMG 29596

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Flagellum arrangement	Confidence
43321	negative	1.2-2.5 µm	0.8-1.4 µm	polar
125439	negative				96.1
125438	negative				98

Colony morphology

@ref	Colony size	Colony color	Colony shape	Incubation period	Medium used
43321	0.5-4 mm	brown	circular	5 days	Marine agar 2216

Culture and growth conditions

Culture medium

@ref	Name	Medium link	Composition
43321	Marine agar (MA)		containing ferric citrate
43321	Seewater agar		suplemented with 500 µM glucose
43321	Marine broth
42693	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

Culture temp

@ref	Growth	Type	Temperature (°C)
42693	positive	growth	30
43321	positive	optimum	20-28
43321	positive	growth	4-30

Culture pH

@ref	Ability	Type	PH	PH range
43321	positive	optimum	7-8
43321	positive	growth	6.5-9.5	alkaliphile

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
43321	aerobe
125439	aerobe	95.9

Spore formation

@ref	Spore formation	Confidence
125439		95.2

Compound production

42693

Compoundtropodithietic acid (TDA)

Halophily

@ref	Salt	Growth	Tested relation	Concentration
43321	NaCl	positive	growth	0.5-6 %(w/v)
43321	NaCl	positive	optimum	2-4 %(w/v)
43321	NaCl		growth	0 %(w/v)

Observation

@ref	Observation
43321	Tropodithietic acid (TDA) production
43321	quinone Q10

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
43321	29016 ChEBI	arginine	+	growth
43321	29016 ChEBI	arginine	+	carbon source
43321	17057 ChEBI	cellobiose	+	growth
43321	17057 ChEBI	cellobiose	+	carbon source
43321	16947 ChEBI	citrate	+	growth
43321	16947 ChEBI	citrate	+	carbon source
43321	15356 ChEBI	cysteine	+	growth
43321	15356 ChEBI	cysteine	+	carbon source
43321	29990 ChEBI	D-aspartate	-	growth
43321	29990 ChEBI	D-aspartate	-	carbon source
43321	15824 ChEBI	D-fructose	+	growth
43321	15824 ChEBI	D-fructose	+	carbon source
43321	12936 ChEBI	D-galactose	+	growth
43321	12936 ChEBI	D-galactose	+	carbon source
43321	17634 ChEBI	D-glucose	+	growth
43321	17634 ChEBI	D-glucose	+	carbon source
43321	16899 ChEBI	D-mannitol	+	growth
43321	16899 ChEBI	D-mannitol	+	carbon source
43321	16024 ChEBI	D-mannose	+	growth
43321	16024 ChEBI	D-mannose	+	carbon source
43321	33942 ChEBI	D-ribose	+	growth
43321	33942 ChEBI	D-ribose	+	carbon source
43321	17924 ChEBI	D-sorbitol	+	growth
43321	17924 ChEBI	D-sorbitol	+	carbon source
43321	65327 ChEBI	D-xylose	+	growth
43321	65327 ChEBI	D-xylose	+	carbon source
43321	5417 ChEBI	glucosamine	-	growth
43321	5417 ChEBI	glucosamine	-	carbon source
43321	17754 ChEBI	glycerol	+	growth
43321	17754 ChEBI	glycerol	+	carbon source
43321	30849 ChEBI	L-arabinose	-	growth
43321	30849 ChEBI	L-arabinose	-	carbon source
43321	18287 ChEBI	L-fucose	-	growth
43321	18287 ChEBI	L-fucose	-	carbon source
43321	15971 ChEBI	L-histidine	+	growth
43321	15971 ChEBI	L-histidine	+	carbon source
43321	15603 ChEBI	L-leucine	+	growth
43321	15603 ChEBI	L-leucine	+	carbon source
43321	18019 ChEBI	L-lysine	+	growth
43321	18019 ChEBI	L-lysine	+	carbon source
43321	17203 ChEBI	L-proline	+	growth
43321	17203 ChEBI	L-proline	+	carbon source
43321	62345 ChEBI	L-rhamnose	-	growth
43321	62345 ChEBI	L-rhamnose	-	carbon source
43321	17115 ChEBI	L-serine	+	carbon source
43321	17115 ChEBI	L-serine	+	growth
43321		L-serine	+	carbon source
43321	16857 ChEBI	L-threonine	+	growth
43321	16857 ChEBI	L-threonine	+	carbon source
43321	16828 ChEBI	L-tryptophan	+	growth
43321	16828 ChEBI	L-tryptophan	+	carbon source
43321	17716 ChEBI	lactose	-	growth
43321	17716 ChEBI	lactose	-	carbon source
43321	25115 ChEBI	malate	-	growth
43321	25115 ChEBI	malate	-	carbon source
43321	17306 ChEBI	maltose	+	growth
43321	17306 ChEBI	maltose	+	carbon source
43321	17632 ChEBI	nitrate	-	reduction
43321	16301 ChEBI	nitrite	-	reduction
43321	28044 ChEBI	phenylalanine	+	growth
43321	28044 ChEBI	phenylalanine	+	carbon source
43321	32954 ChEBI	sodium acetate	+	growth
43321	32954 ChEBI	sodium acetate	+	carbon source
43321	50144 ChEBI	sodium pyruvate	+	growth
43321	50144 ChEBI	sodium pyruvate	+	carbon source
43321	28017 ChEBI	starch	-	hydrolysis
43321	30031 ChEBI	succinate	+	growth
43321	30031 ChEBI	succinate	+	carbon source
43321	17992 ChEBI	sucrose	+	growth
43321	17992 ChEBI	sucrose	+	carbon source
43321	27082 ChEBI	trehalose	+	growth
43321	27082 ChEBI	trehalose	+	carbon source
43321	27266 ChEBI	valine	+	growth
43321	27266 ChEBI	valine	+	carbon source

Antibiotic resistance

@ref	ChEBI	Metabolite
43321	28971	ampicillin
43321	17698	chloramphenicol
43321	17833	gentamicin
43321	6104	kanamycin
43321	17334	penicillin
43321	17076	streptomycin

Enzymes

@ref	Value	Activity	Ec
43321	catalase	+	1.11.1.6
43321	cytochrome oxidase	+	1.9.3.1
43321	gelatinase	-

Fatty acid profile

Metadata FA analysis

@ref

43321

Fatty acid	Percentage
C18:1ω7c	79.2
C16:0	7.5
C18:1ω7c 11-methyl	4.2
C18:0	3.1
C12:1	2.2
C10:0 3OH	1.3
C18:2ω7c, 12	1.3
C12:0 3OH	1.2

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host	#Arthropoda	#Crustacea

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent	Latitude	Longitude
42693	barnacle	Neuharlingersiel (53° 42' 9.6'' N, 7° 42' 22.8'' E)	Germany	DEU	Europe	53.7027	7.7063 53.7027/7.7063

Taxonmaps

69479

Global distribution of 16S sequence KX163077 (>99% sequence identity) for Phaeobacter from Microbeatlas

Aquatic Samples	6774
Soil Samples	318
Animal Samples	295
Plant Samples	82
Total Samples	7469

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
42693	1	Risk group (German classification)

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	IMG accession	NCBI tax ID	Score
66792	ASM188818v1 assembly for Phaeobacter porticola P97	complete	GCA_001888185	2718218026	1844006	97.22

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
42693	Phaeobacter porticola strain P97 16S ribosomal RNA gene, partial sequence	KX163077	1444		1844006

GC content

@ref	GC-content (mol%)	Method
43321	58.6	genome sequence analysis
42693	58.6	sequence analysis

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Phaeobacter porticola P97
IMG: 2718218026

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	95.20	no
125439	motility	BacteriaNetⓘ	yes	72.60	no
125439	gram_stain	BacteriaNetⓘ	negative	96.10	no
125439	oxygen_tolerance	BacteriaNetⓘ	aerobe	95.90	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Phaeobacter porticola P97
NCBI: GCA_001888185.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	98.00	yes
125438	anaerobic	anaerobicⓘ	no	93.97	yes
125438	aerobic	aerobicⓘ	yes	84.36	yes
125438	spore-forming	spore-formingⓘ	no	89.94	no
125438	thermophilic	thermophileⓘ	no	97.98	yes
125438	flagellated	motile2+ⓘ	yes	74.84	yes

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Pseudophaeobacter flagellatus sp. nov., isolated from coastal water.	Guan Y, Jiang Y, Kim YM, Yu SY, Choi SH, Choe H, Li Z, Lee MK	Int J Syst Evol Microbiol	10.1099/ijsem.0.005399	2022
Phylogeny	Phaeobacter porticola sp. nov., an antibiotic-producing bacterium isolated from a sea harbour.	Breider S, Freese HM, Sproer C, Simon M, Overmann J, Brinkhoff T	Int J Syst Evol Microbiol	10.1099/ijsem.0.001879	2017

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 )
#42693	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 103148
#43321	Sven Breider, Heike M. Freese, Cathrin Spröer, Meinhard Simon, Jörg Overmann, Thorsten Brinkhoff: Phaeobacter porticola sp. nov., an antibiotic-producing bacterium isolated from a sea harbour. IJSEM 67: 2153 - 2159 2017 ( DOI 10.1099/ijsem.0.001879 , PubMed 28699865 )
#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) .
#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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Phaeobacter porticola (DSM 103148, LMG 29594, P97)

Name and taxonomic classification

Morphology

Cell morphology

Colony morphology

Culture and growth conditions

Culture medium

Culture temp

Culture pH

Physiology and metabolism

Oxygen tolerance

Spore formation

Compound production

Halophily

Observation

Metabolite utilization

Antibiotic resistance

Enzymes

Fatty acid profile

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_001888185

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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