Novosphingobium panipatense (DSM 22890, CCM 7472, MTCC 9019)

Name: Novosphingobium panipatense (DSM 22890, CCM 7472, MTCC 9019)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 14163

Type strain

Strain Designation SM16

Culture col. no. DSM 22890 CCM 7472 MTCC 9019 SM16

NCBI tax ID(s) 428991

Special Collections DSMZ Literature strains

Novosphingobium panipatense SM16 is an aerobe, mesophilic, Gram-negative prokaryote that was isolated from oil-contaminated soil.

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

Name and taxonomic classification

Culture Collection Numbers

DSM 22890 CCM 7472 MTCC 9019 SM16

@ref 20215

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

Domain Pseudomonadati

Phylum Pseudomonadota

Class Alphaproteobacteria

Order Sphingomonadales

Family Erythrobacteraceae

Genus Novosphingobium

Species Novosphingobium panipatense

Full scientific name Novosphingobium panipatense Gupta et al. 2009

Synonyms (1)

Pseudonovosphingobium panipatense

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Motility	Confidence
32592	negative	1.5 µm	0.6 µm	rod-shaped
125439	negative					99.1

Pigmentation

32592

Productionno

Culture and growth conditions

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
32592	positive	growth	28-37	mesophilic
32592	positive	optimum	32.5	mesophilic

Culture pH

@ref	Ability	Type	PH
32592	positive	optimum	7.2

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
32592	aerobe
125439	obligate aerobe	97.8

Spore formation

@ref	Spore formation	Confidence
32592
125439		97.6

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
32592	30089 ChEBI	acetate	+	carbon source
32592	22599 ChEBI	arabinose	+	carbon source
32592	28757 ChEBI	fructose	+	carbon source
32592	28260 ChEBI	galactose	+	carbon source
32592	17234 ChEBI	glucose	+	carbon source
32592	17716 ChEBI	lactose	+	carbon source
32592	17306 ChEBI	maltose	+	carbon source
32592	37684 ChEBI	mannose	+	carbon source
32592	17632 ChEBI	nitrate	+	reduction
32592	15361 ChEBI	pyruvate	+	carbon source
32592	16634 ChEBI	raffinose	+	carbon source
32592	30911 ChEBI	sorbitol	+	carbon source
32592	27082 ChEBI	trehalose	+	carbon source
32592	53426 ChEBI	tween 80	+	carbon source

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Engineered	#Contamination	#Oil (Fuel)
#Environmental	#Terrestrial	#Soil

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
16605	oil-contaminated soil	Panipat	India	IND	Asia

Taxonmaps

69479

Global distribution of 16S sequence EF424402 (>99% sequence identity) for Novosphingobium from Microbeatlas

Aquatic Samples	1963
Soil Samples	623
Animal Samples	828
Plant Samples	663
Total Samples	4077

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
16605	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
124043	ASM4266124v1 assembly for Novosphingobium panipatense CCM 7472	contig	GCA_042661245			428991	68.49
66792	IMG-taxon 2706794921 annotated assembly for Novosphingobium panipatense SM16	scaffold	GCA_900182875	428991.8	2706794921	428991	63.32
124043	ASM4264658v1 assembly for Novosphingobium panipatense CCM 7472	contig	GCA_042646585			428991	28.42
124043	ASM4268187v1 assembly for Novosphingobium panipatense CCM 7472	contig	GCA_042681875			428991

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
16605	Novosphingobium panipatense strain SM16 16S ribosomal RNA gene, partial sequence	EF424402	1396		428991
124043	Novosphingobium panipatense strain CCM 7472 16S ribosomal RNA gene, partial sequence.	MT760144	1315		428991

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Novosphingobium panipatense SM16
IMG: 2706794921

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	97.60	no
125439	motility	BacteriaNetⓘ	yes	62.70	no
125439	gram_stain	BacteriaNetⓘ	negative	99.10	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	97.80	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Novosphingobium clariflavum sp. nov., isolated from a household product plant.	Zhang X, Liu Y, Lin Y, Wang L, Yao S, Cao Y, Zhai L, Tang X, Zhang L, Zhang T, Ge Y, Ling K, Liu J, Cheng C	Int J Syst Evol Microbiol	10.1099/ijsem.0.001803	2017
Phylogeny	Novosphingobium profundi sp. nov. isolated from a deep-sea seamount.	Zhang DC, Liu YX, Huang HJ	Antonie Van Leeuwenhoek	10.1007/s10482-016-0769-3	2016
Phylogeny	Novosphingobium panipatense sp. nov. and Novosphingobium mathurense sp. nov., from oil-contaminated soil.	Gupta SK, Lal D, Lal R	Int J Syst Evol Microbiol	10.1099/ijs.0.65743-0	2009

References

#16605	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 22890
#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 )
#32592	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 #28805 (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 .
#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 .

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Novosphingobium panipatense (DSM 22890, CCM 7472, MTCC 9019)

Name and taxonomic classification

Culture Collection Numbers

Morphology

Cell morphology

Pigmentation

Culture and growth conditions

Culture temp

Culture pH

Physiology and metabolism

Oxygen tolerance

Spore formation

Metabolite utilization

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_042661245

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

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