Acidovorax soli (DSM 25157, JCM 15909, KCTC 22399)

Name: Acidovorax soli (DSM 25157, JCM 15909, KCTC 22399)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 2904

Type strain

Strain Designation BL21

Culture col. no. DSM 25157 JCM 15909 KCTC 22399 BL21

NCBI tax ID(s) 592050

Special Collections DSMZ JCM KCTC Literature strains

History <- KCTC <- J.-W. Bae, KRIBB J.-W. Bae BL21. <- JW Bae, KRIBB

Links

Acidovorax soli BL21 is an aerobe, mesophilic, Gram-negative prokaryote that was isolated from soil of landfill site.

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

Name and taxonomic classification

SI-ID 399905

KCTC 22399,JCM 15909,DSM 25157

@ref 20215

Last LPSN update 2026-02-09 11:18:23

Domain Bacteria

Phylum Pseudomonadota

Class Betaproteobacteria

Order Burkholderiales

Family Comamonadaceae

Genus Acidovorax

Species Acidovorax soli

Full scientific name Acidovorax soli Choi et al. 2010

BacDive ID	Other strains from **Acidovorax soli** (2)	Type strain
153463	A. soli CCUG 49687
156596	A. soli CCUG 63251

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Confidence
29733	negative	1.3 µm	0.5 µm	rod-shaped
67771	negative
125438	negative				98.5
125439	negative				99.7
125439					90.1

Pigmentation

29733

Productionyes

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
17919	TRYPTICASE SOY BROTH AGAR (DSMZ Medium 535)		Medium recipe at MediaDive	Name: TRYPTICASE SOY BROTH AGAR (DSMZ Medium 535) Composition: Trypticase soy broth 30.0 g/l Agar 15.0 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
17919	positive	growth	28	mesophilic
29733	positive	growth	10-42
29733	positive	optimum	30	mesophilic
67770	positive	growth	30	mesophilic
67771	positive	growth	30	mesophilic

Culture pH

@ref	Ability	Type	PH	PH range
29733	positive	optimum	7
29733	positive	growth	06-09	alkaliphile

Physiology and metabolism

Oxygen tolerance

67771

Oxygen toleranceaerobe

Spore formation

@ref	Spore formation	Confidence
125439		99.3

Halophily

@ref	Salt	Growth	Tested relation	Concentration
29733	NaCl	positive	growth	0-1 %

Observation

29733

Observationaggregates in chains

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
29733	16449 ChEBI	alanine	+	carbon source
29733	22653 ChEBI	asparagine	+	carbon source
29733	35391 ChEBI	aspartate	+	carbon source
29733	15740 ChEBI	formate	+	carbon source
29733	17234 ChEBI	glucose	+	carbon source
29733	29987 ChEBI	glutamate	+	carbon source
29733	24996 ChEBI	lactate	+	carbon source
29733	51850 ChEBI	methyl pyruvate	+	carbon source
29733	17632 ChEBI	nitrate	+	reduction
29733	17822 ChEBI	serine	+	carbon source
29733	26986 ChEBI	threonine	+	carbon source
29733	53423 ChEBI	tween 40	+	carbon source
29733	53426 ChEBI	tween 80	+	carbon source

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Engineered	#Waste	#Landfill
#Environmental	#Terrestrial	#Soil

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
17919	soil of landfill site	Pohang	Republic of Korea	KOR	Asia
67770	Landfill site	Pohang	Republic of Korea	KOR	Asia
67771	From soil	Pohang	Republic of Korea	KOR	Asia

Taxonmaps

69479

Global distribution of 16S sequence FJ599672 (>99% sequence identity) for Acidovorax from Microbeatlas

Aquatic Samples	321
Soil Samples	88
Animal Samples	170
Plant Samples	33
Total Samples	612

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
17919	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 2675903230 annotated assembly for Acidovorax soli DSM 25157	contig	GCA_900107605	592050.4	2675903230	592050	61.06

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
17919	Acidovorax soli strain BL21 16S ribosomal RNA gene, partial sequence	FJ599672	1433		592050

GC content

@ref	GC-content (mol%)	Method
17919	60.9
67770	60.9	thermal denaturation, midpoint method (Tm)

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Acidovorax soli DSM 25157
NCBI: GCA_900107605

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	99.30	no
125439	motility	BacteriaNetⓘ	yes	90.10	no
125439	gram_stain	BacteriaNetⓘ	negative	99.70	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	82.90	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Acidovorax soli strain DSM 25157
PATRIC: 592050.4

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	98.50	yes
125438	anaerobic	anaerobicⓘ	no	94.69	no
125438	spore-forming	spore-formingⓘ	no	88.20	no
125438	aerobic	aerobicⓘ	yes	78.62	no
125438	thermophilic	thermophileⓘ	no	96.48	no
125438	flagellated	motile2+ⓘ	no	66.74	yes

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Acidovorax soli sp. nov., isolated from landfill soil.	Choi JH, Kim MS, Roh SW, Bae JW	Int J Syst Evol Microbiol	10.1099/ijs.0.019661-0	2010

References

#17919	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 25157
#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 )
#26115	IJSEM 2715 2010 ( DOI 10.1099/ijs.0.019661-0 , PubMed 20061503 )
#29733	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 #26115
#67770	Japan Collection of Microorganism (JCM) ; Curators of the JCM;
#67771	Korean Collection for Type Cultures (KCTC) ; Curators of the KCTC;
#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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Acidovorax soli (DSM 25157, JCM 15909, KCTC 22399)

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

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_900107605

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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