Dyella soli (DSM 23154, JCM 15423, KACC 12747)

Name: Dyella soli (DSM 23154, JCM 15423, KACC 12747)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 17457

Type strain

Strain Designation JS12-10

Culture col. no. DSM 23154 JCM 15423 KACC 12747 JS12-10

NCBI tax ID(s) 522319

Special Collections DSMZ JCM Literature strains

Links

Dyella soli JS12-10 is an aerobe, mesophilic, Gram-negative prokaryote that was isolated from forest soil.

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

Name and taxonomic classification

SI-ID 402655

JCM 15423,DSM 23154

@ref 20215

Last LPSN update 2025-12-16 09:51:06

Domain Pseudomonadati

Phylum Pseudomonadota

Class Gammaproteobacteria

Order Lysobacterales

Family Rhodanobacteraceae

Genus Dyella

Species Dyella soli

Full scientific name Dyella soli Weon et al. 2009

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Confidence
29047	negative	2.95 µm	0.45 µm	rod-shaped
125439	negative				92.4
125438	negative				98.5

Pigmentation

29047

Productionyes

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
16737	REACTIVATION WITH LIQUID MEDIUM 830 (DSMZ Medium 830c)		Medium recipe at MediaDive	Name: REACTIVATION WITH LIQUID MEDIUM 830 (DSMZ Medium 830c) Composition: Agar 15.0 g/l Yeast extract 0.5 g/l Proteose peptone 0.5 g/l Casamino acids 0.5 g/l Glucose 0.5 g/l Starch 0.5 g/l K2HPO4 0.3 g/l Na-pyruvate 0.3 g/l MgSO4 x 7 H2O 0.05 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
16737	positive	growth	28	mesophilic
29047	positive	growth	10-35
29047	positive	optimum	29	mesophilic
67770	positive	growth	30	mesophilic

Culture pH

@ref	Ability	Type	PH	PH range
29047	positive	optimum	6.5
29047	positive	growth	04-08	acidophile

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
29047	aerobe
125439	obligate aerobe	98.8

Spore formation

@ref	Spore formation	Confidence
29047
125439		94.3

Halophily

@ref	Salt	Growth	Tested relation	Concentration
29047	NaCl	positive	growth	0-2 %
29047	NaCl	positive	optimum	0.5 %

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
29047	17306 ChEBI	maltose	+	carbon source
29047	17632 ChEBI	nitrate	+	reduction
29047	53426 ChEBI	tween 80	+	carbon source

Enzymes

@ref	Value	Activity	Ec
29047	acid phosphatase	+	3.1.3.2

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Terrestrial	#Forest
#Environmental	#Terrestrial	#Soil

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
16737	forest soil	Jeju island	Republic of Korea	KOR	Asia
67770	Forest soil from Jeju Island		Republic of Korea	KOR	Asia

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
16737	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
66792	Dyella soli strain KACC 12747	contig		522319.3		522319	25.54
67770	ASM433690v1 assembly for Dyella soli KACC 12747	contig	GCA_004336905	522319.5	8067566530	522319

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
16737	Dyella soli strain JS12-10 16S ribosomal RNA gene, partial sequence	EU604272	1420		522319

GC content

@ref	GC-content (mol%)	Method
16737	67.0	high performance liquid chromatography (HPLC)
29047	67
67770	67	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: Dyella soli KACC 12747
NCBI: GCA_004336905

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	94.30	no
125439	motility	BacteriaNetⓘ	yes	75.20	no
125439	gram_stain	BacteriaNetⓘ	negative	92.40	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	98.80	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Dyella soli strain KACC 12747
PATRIC: 522319.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	98.50	yes
125438	anaerobic	anaerobicⓘ	no	97.09	yes
125438	spore-forming	spore-formingⓘ	no	88.47	yes
125438	aerobic	aerobicⓘ	yes	86.43	yes
125438	thermophilic	thermophileⓘ	no	96.98	yes
125438	flagellated	motile2+ⓘ	yes	69.32	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Dyella amyloliquefaciens sp. nov., isolated from forest soil.	Fu JC, Gao ZH, Wu TT, Chen MH, Qiu LH	Int J Syst Evol Microbiol	10.1099/ijsem.0.003660	2019
Phylogeny	Dyella tabacisoli sp. nov., a bacterium isolated from an arable soil sample of Nicotiana tabacum L.	Li QQ, Chen X, Zhou XK, Dong LM, Xiao M, Fang BZ, Li WJ, Duan YQ	Int J Syst Evol Microbiol	10.1099/ijsem.0.003138	2019
Phylogeny	Dyella kyungheensis sp. nov., isolated from soil of a cornus fruit field.	Son HM, Yang JE, Yi EJ, Park Y, Won KH, Kim JH, Han CK, Kook M, Yi TH	Int J Syst Evol Microbiol	10.1099/ijs.0.051185-0	2013
Phylogeny	Dyella jiangningensis sp. nov., a gamma-proteobacterium isolated from the surface of potassium-bearing rock.	Zhao F, Guo XQ, Wang P, He LY, Huang Z, Sheng XF	Int J Syst Evol Microbiol	10.1099/ijs.0.048470-0	2013
Phylogeny	Rhodanobacter panaciterrae sp. nov., a bacterium with ginsenoside-converting activity isolated from soil of a ginseng field.	Wang L, An DS, Kim SG, Jin FX, Lee ST, Im WT	Int J Syst Evol Microbiol	10.1099/ijs.0.025718-0	2011
Phylogeny	Dyella soli sp. nov. and Dyella terrae sp. nov., isolated from soil.	Weon HY, Anandham R, Kim BY, Hong SB, Jeon YA, Kwon SW	Int J Syst Evol Microbiol	10.1099/ijs.0.004838-0	2009

References

#16737	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 23154
#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 )
#25477	IJSEM 1685 2009 ( DOI 10.1099/ijs.0.004838-0 , PubMed 19542132 )
#29047	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 #25477
#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;
#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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Dyella soli (DSM 23154, JCM 15423, KACC 12747)

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

Metabolite utilization

Enzymes

Isolation, sampling and environmental information

Isolation source categories

Isolation

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_004336905

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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