Sphingobium quisquiliarum (DSM 24952, CCM 7543, MTCC 9472)

Name: Sphingobium quisquiliarum (DSM 24952, CCM 7543, MTCC 9472)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 14195

Type strain

Strain Designation P25

Culture col. no. DSM 24952 CCM 7543 MTCC 9472 P25

NCBI tax ID(s) 538379

Special Collections DSMZ Literature strains

Links

Sphingobium quisquiliarum P25 is an aerobe, mesophilic, Gram-negative prokaryote that was isolated from soil sample from HCH dump site.

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

Name and taxonomic classification

SI-ID 27195

MTCC 9472

@ref 20215

Last LPSN update 2025-12-16 09:50:17

Domain Pseudomonadati

Phylum Pseudomonadota

Class Alphaproteobacteria

Order Sphingomonadales

Family Sphingomonadaceae

Genus Sphingobium

Species Sphingobium quisquiliarum

Full scientific name Sphingobium quisquiliarum Bala et al. 2010

BacDive ID	Other strains from **Sphingobium quisquiliarum** (1)	Type strain
14207	S. quisquiliarum EPA505, DSM 7526

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Confidence
29322	negative	2.15 µm	1 µm	rod-shaped
125438	negative				95.708
125439	negative				90.2

Pigmentation

29322

Productionyes

Culture and growth conditions

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
29322	positive	optimum	28	mesophilic

Culture pH

@ref	Ability	Type	PH
29322	positive	optimum	7

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
29322	aerobe
125439	aerobe	93.7

Spore formation

29322

Spore formationno

Halophily

@ref	Salt	Growth	Tested relation	Concentration
29322	NaCl	positive	optimum	1 %

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
29322	17057 ChEBI	cellobiose	+	carbon source
29322	4853 ChEBI	esculin	+	hydrolysis
29322	28757 ChEBI	fructose	+	carbon source
29322	28260 ChEBI	galactose	+	carbon source
29322	17234 ChEBI	glucose	+	carbon source
29322	16634 ChEBI	raffinose	+	carbon source
29322	30911 ChEBI	sorbitol	+	carbon source
29322	17992 ChEBI	sucrose	+	carbon source
29322	27082 ChEBI	trehalose	+	carbon source
29322	18222 ChEBI	xylose	+	carbon source

Metabolite production

@ref	Chebi-ID	Metabolite	Production
29322	35581 ChEBI	indole

Metabolite tests

@ref	Chebi-ID	Metabolite	Indole test
29322	35581 ChEBI	indole	+

Enzymes

@ref	Value	Activity	Ec
29322	catalase	+	1.11.1.6
29322	cytochrome oxidase	+	1.9.3.1

Isolation, sampling and environmental information

Isolation source categories

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

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
17807	soil sample from HCH dump site	Uttar Pradesh, Lucknow, Ummari village	India	IND	Asia

Taxonmaps

69479

Global distribution of 16S sequence EU781657 (>99% sequence identity) for Sphingobium quisquiliarum subclade from Microbeatlas

Aquatic Samples	366
Soil Samples	205
Animal Samples	169
Plant Samples	399
Total Samples	1139

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
17807	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	ASM44506v1 assembly for Sphingobium quisquiliarum P25	contig	GCA_000445065	1329909.3	2558860245	1329909	39.36

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
17807	Sphingobium quisquiliarum strain P25 16S ribosomal RNA gene, partial sequence	EU781657	1381		1329909
124043	Sphingobium quisquiliarum strain CCM 7543 16S ribosomal RNA gene, partial sequence.	MT760149	1318		538379

GC content

29322

GC-content (mol%)65

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Sphingobium quisquiliarum P25
NCBI: GCA_000445065

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	88.10	no
125439	motility	BacteriaNetⓘ	yes	52.10	no
125439	gram_stain	BacteriaNetⓘ	negative	90.20	no
125439	oxygen_tolerance	BacteriaNetⓘ	aerobe	93.70	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Sphingobium quisquiliarum P25
PATRIC: 1329909.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	95.71	no
125438	anaerobic	anaerobicⓘ	no	94.34	yes
125438	spore-forming	spore-formingⓘ	no	87.52	no
125438	aerobic	aerobicⓘ	yes	87.17	yes
125438	thermophilic	thermophileⓘ	no	98.01	yes
125438	flagellated	motile2+ⓘ	yes	67.47	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Sphingobium quisquiliarum sp. nov., a hexachlorocyclohexane (HCH)-degrading bacterium isolated from an HCH-contaminated soil.	Bala K, Sharma P, Lal R	Int J Syst Evol Microbiol	10.1099/ijs.0.010868-0	2009

References

#17807	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 24952
#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 )
#29322	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 #25734 (see below)
#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 .
#124043	Isabel Schober, Julia Koblitz: Data extracted from sequence databases, automatically matched based on designation and taxonomy .
#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 )

Rate our new design

Content

About us

Sphingobium quisquiliarum (DSM 24952, CCM 7543, MTCC 9472)

Name and taxonomic classification

Morphology

Cell morphology

Pigmentation

Culture and growth conditions

Culture temp

Culture pH

Physiology and metabolism

Oxygen tolerance

Spore formation

Halophily

Metabolite utilization

Metabolite production

Metabolite tests

Enzymes

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_000445065

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

Help

Social Media