Algoriphagus boritolerans (DSM 17298, ATCC BAA-1189, NBRC 101277)

Name: Algoriphagus boritolerans (DSM 17298, ATCC BAA-1189, NBRC 101277)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 17702

Type strain

Strain Designation T22

Culture col. no. DSM 17298 ATCC BAA-1189 NBRC 101277 T22 JCM 18970

NCBI tax ID(s) 1120964 308111

Special Collections DSMZ JCM Literature strains

Links

Algoriphagus boritolerans T22 is a mesophilic, Gram-negative, rod-shaped prokaryote that was isolated from soil that naturally contains boron.

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

Name and taxonomic classification

SI-ID 298266

JCM 18970,ATCC BAA-1189,NBRC 101277,DSM 17298

@ref 20215

Last LPSN update 2025-12-16 09:51:09

Domain Pseudomonadati

Phylum Bacteroidota

Class Cytophagia

Order Cytophagales

Family Cyclobacteriaceae

Genus Algoriphagus

Species Algoriphagus boritolerans

Full scientific name Algoriphagus boritolerans (Ahmed et al. 2007) Nedashkovskaya et al. 2007

Synonyms (1)

Chimaereicella boritolerans

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Confidence
31966	negative	2.3 µm	0.35 µm	rod-shaped
125438					91
125438	negative				96.989
125439	negative				99.5

Pigmentation

31966

Productionyes

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
6881	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
6881	LB (Luria-Bertani) MEDIUM (DSMZ Medium 381)		Medium recipe at MediaDive	Name: LB (Luria-Bertani) MEDIUM (DSMZ Medium 381; with strain-specific modifications) Composition: Agar 20.0 g/l NaCl 10.0 g/l Tryptone 10.0 g/l Boric acid 6.1833 g/l Yeast extract 5.0 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
6881	positive	growth	28	mesophilic
31966	positive	growth	16-37
31966	positive	optimum	29	mesophilic
67770	positive	growth	30	mesophilic

Culture pH

@ref	Ability	Type	PH	PH range
31966	positive	optimum	8.5
31966	positive	growth	6.5-10.0	alkaliphile

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	93.3

Spore formation

@ref	Spore formation	Confidence
125439		98.6

Halophily

@ref	Salt	Growth	Tested relation	Concentration
31966	NaCl	positive	growth	0-3 %

Observation

67770

Observationquinones: MK-7

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
31966	17057 ChEBI	cellobiose	+	carbon source
31966	4853 ChEBI	esculin	+	hydrolysis
31966	33984 ChEBI	fucose	+	carbon source
31966	17234 ChEBI	glucose	+	carbon source
31966	28087 ChEBI	glycogen	+	carbon source
31966	17716 ChEBI	lactose	+	carbon source
31966	17306 ChEBI	maltose	+	carbon source
31966	29864 ChEBI	mannitol	+	carbon source
31966	37684 ChEBI	mannose	+	carbon source
31966	506227 ChEBI	N-acetylglucosamine	+	carbon source
31966	16634 ChEBI	raffinose	+	carbon source
31966	26546 ChEBI	rhamnose	+	carbon source
31966	17151 ChEBI	xylitol	+	carbon source

Enzymes

@ref	Value	Activity	Ec
31966	alkaline phosphatase	+	3.1.3.1
31966	catalase	+	1.11.1.6
31966	cytochrome oxidase	+	1.9.3.1

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Terrestrial	#Soil

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
6881	soil that naturally contains boron	Kutahya Province, Hisarcik area	Turkey	TUR	Asia
67770	Naturally boron containing soil of Hisarcik area	Kutahya Province	Turkey	TUR	Asia

Taxonmaps

69479

Global distribution of 16S sequence AB681436 (>99% sequence identity) for Algoriphagus boritolerans subclade from Microbeatlas

Aquatic Samples	178
Soil Samples	20
Animal Samples	16
Plant Samples
Total Samples	214

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
6881	1	Risk group (German classification) According to TRBA 466

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
67770	IMG-taxon 2599185235 annotated assembly for Algoriphagus boritolerans DSM 17298 = JCM 18970	scaffold	GCA_900108085	1120964.11	2599185235	1120964	60.56
67770	ASM131326v1 assembly for Algoriphagus boritolerans DSM 17298 = JCM 18970	contig	GCA_001313265	1120964.3	2734481938	1120964	1.77

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
20218	Algoriphagus boritolerans gene for 16S rRNA, partial sequence, strain: NBRC 101277	AB681436	1448		308111
6881	Chimaereicella boritolerans gene for 16S ribosomal RNA, partial sequence	AB197852	1489		308111

GC content

@ref	GC-content (mol%)	Method
6881	42.5
67770	42.5	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: Algoriphagus boritolerans DSM 17298 = JCM 18970
NCBI: GCA_900108085

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	93.30	no
125439	gram_stain	BacteriaNetⓘ	negative	99.50	no
125439	motility	BacteriaNetⓘ	no	79.70	no
125439	spore_formation	BacteriaNetⓘ	no	98.60	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Algoriphagus boritolerans DSM 17298 = JCM 18970
PATRIC: 1120964.11

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	96.99	yes
125438	anaerobic	anaerobicⓘ	no	94.70	no
125438	spore-forming	spore-formingⓘ	no	86.00	no
125438	aerobic	aerobicⓘ	yes	86.31	no
125438	thermophilic	thermophileⓘ	no	97.36	yes
125438	flagellated	motile2+ⓘ	no	91.00	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	Identification of a novel monocyclic carotenoid and prediction of its biosynthetic genes in Algoriphagus sp. oki45.	Takatani N, Maoka T, Sawabe T, Beppu F, Hosokawa M.	Appl Microbiol Biotechnol	10.1007/s00253-023-12995-2	2024
Genetics	Robertkochia sediminum sp. nov., isolated from coastal sediment.	Ma L, Du SJ, Gong Y, Du ZJ.	Arch Microbiol	10.1007/s00203-021-02605-y	2021
Phylogeny	Algoriphagus litoralis sp. nov., isolated from the junction between the ocean and a freshwater lake.	Wei Y, Mao H, Wang K, Yao H, Zhang Y, Cao J, Xie Z, Fang J	Antonie Van Leeuwenhoek	10.1007/s10482-019-01280-w	2019
Phylogeny	Chimaereicella boritolerans sp. nov., a boron-tolerant and alkaliphilic bacterium of the family Flavobacteriaceae isolated from soil.	Ahmed I, Yokota A, Fujiwara T	Int J Syst Evol Microbiol	10.1099/ijs.0.64728-0	2007

References

#6881	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 17298
#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 )
#20218	Verslyppe, B., De Smet, W., De Baets, B., De Vos, P., Dawyndt P.: StrainInfo introduces electronic passports for microorganisms.. Syst Appl Microbiol. 37: 42 - 50 2014 ( DOI 10.1016/j.syapm.2013.11.002 , PubMed 24321274 )
#31966	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 #28221 (see below)
#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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Algoriphagus boritolerans (DSM 17298, ATCC BAA-1189, NBRC 101277)

Name and taxonomic classification

Morphology

Cell morphology

Pigmentation

Culture and growth conditions

Culture medium

Culture temp

Culture pH

Physiology and metabolism

Oxygen tolerance

Spore formation

Halophily

Observation

Metabolite utilization

Enzymes

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_900108085

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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