Advenella kashmirensis (DSM 17095, LMG 22965, MTCC 7002)

Name: Advenella kashmirensis (DSM 17095, LMG 22965, MTCC 7002)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 383

Type strain

Strain Designation WT001

Culture col. no. DSM 17095 LMG 22965 MTCC 7002 WT001

NCBI tax ID(s) 310575 1914954

Special Collections DSMZ Literature strains

History <- P. Roy <- W. Ghosh; WT001

Links

Advenella kashmirensis WT001 is an aerobe, mesophilic, Gram-negative prokaryote that was isolated from bulk soil of a temperate orchard.

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

Name and taxonomic classification

SI-ID 135988

MTCC 7002,LMG 22695,DSM 17095,LMG 22965

@ref 20215

Last LPSN update 2025-12-16 09:46:50

Domain Pseudomonadati

Phylum Pseudomonadota

Class Betaproteobacteria

Order Burkholderiales

Family Alcaligenaceae

Genus Advenella

Species Advenella kashmirensis

Full scientific name Advenella kashmirensis (Ghosh et al. 2005) Gibello et al. 2009

Synonyms (1)

Tetrathiobacter kashmirensis

BacDive ID	Other strains from **Advenella kashmirensis** (1)	Type strain
22905	A. kashmirensis WGT, DSM 17096, LMG 22696

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Confidence
31452	negative	1.4 µm	1.05 µm	coccus-shaped
125438	negative				98.278
125439	negative				98.8

Pigmentation

31452

Productionyes

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
6757	NUTRIENT AGAR (DSMZ Medium 1)		Medium recipe at MediaDive	Name: NUTRIENT AGAR (DSMZ Medium 1) Composition: Agar 15.0 g/l Peptone 5.0 g/l Meat extract 3.0 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
6757	positive	growth	28	mesophilic
31452	positive	growth	10-42
31452	positive	optimum	26	mesophilic

Culture pH

@ref	Ability	Type	PH	PH range
31452	positive	optimum	6.5
31452	positive	growth	4.5-8.5	alkaliphile

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
6757	aerobe
125439	obligate aerobe	98.1

Spore formation

@ref	Spore formation	Confidence
125439		94.3

Observation

31452

Observationaggregates in clumps

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
31452	30089 ChEBI	acetate	+	carbon source
31452	22599 ChEBI	arabinose	+	carbon source
31452	29016 ChEBI	arginine	+	carbon source
31452	35391 ChEBI	aspartate	+	carbon source
31452	16947 ChEBI	citrate	+	carbon source
31452	16296 ChEBI	D-tryptophan	+	carbon source
31452	28757 ChEBI	fructose	+	carbon source
31452	28260 ChEBI	galactose	+	carbon source
31452	17234 ChEBI	glucose	+	carbon source
31452	29987 ChEBI	glutamate	+	carbon source
31452	17716 ChEBI	lactose	+	carbon source
31452	25115 ChEBI	malate	+	carbon source
31452	17306 ChEBI	maltose	+	carbon source
31452	37684 ChEBI	mannose	+	carbon source
31452	17632 ChEBI	nitrate	+	reduction
31452	30031 ChEBI	succinate	+	carbon source
31452	18222 ChEBI	xylose	+	carbon source

Enzymes

@ref	Value	Activity	Ec
31452	catalase	+	1.11.1.6
31452	cytochrome oxidase	+	1.9.3.1
31452	urease	+	3.5.1.5

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Engineered	#Agriculture	#Grove (Orchard)
#Environmental	#Terrestrial	#Soil

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
6757	bulk soil of a temperate orchard	Srinagar, Jammu and Kashmir	India	IND	Asia

Taxonmaps

69479

Global distribution of 16S sequence AJ864470 (>99% sequence identity) for Advenella from Microbeatlas

Aquatic Samples	378
Soil Samples	822
Animal Samples	766
Plant Samples	491
Total Samples	2457

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
6757	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	ASM21991v3 assembly for Advenella kashmirensis WT001	complete	GCA_000219915	1036672.3	2515154053	1036672	82.55

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
6757	Tetrathiobacter kashmirensis 16S rRNA gene, type strain WT001T	AJ864470	1467		310575

GC content

31452

GC-content (mol%)55.1

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Advenella kashmirensis WT001
IMG: 2515154053

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	98.10	no
125439	gram_stain	BacteriaNetⓘ	negative	98.80	no
125439	motility	BacteriaNetⓘ	yes	82.80	no
125439	spore_formation	BacteriaNetⓘ	no	94.30	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Advenella kashmirensis WT001 WT001
NCBI: GCA_000219915.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	98.28	no
125438	anaerobic	anaerobicⓘ	no	98.33	yes
125438	aerobic	aerobicⓘ	yes	88.87	yes
125438	spore-forming	spore-formingⓘ	no	83.14	no
125438	thermophilic	thermophileⓘ	no	98.13	no
125438	flagellated	motile2+ⓘ	no	73.22	yes

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	[Advenella kashmirensis subsp. methylica PK1, a facultative methylotroph from carex rhizosphere].	Poroshina MN, Doronina NV, Kaparullina EN, Trotsenko IuA	Mikrobiologiia		2015
Enzymology	Optimization of a phenol extraction-based protein preparation method amenable to downstream 2DE and MALDI-MS based analysis of bacterial proteomes.	Alam M, Ghosh W	Proteomics	10.1002/pmic.201300146	2014
Enzymology	Identification of 3-sulfinopropionyl coenzyme A (CoA) desulfinases within the Acyl-CoA dehydrogenase superfamily.	Schurmann M, Demming RM, Krewing M, Rose J, Wubbeler JH, Steinbuchel A	J Bacteriol	10.1128/JB.01265-13	2013
Genetics	Genome implosion elicits host-confinement in Alcaligenaceae: evidence from the comparative genomics of Tetrathiobacter kashmirensis, a pathogen in the making.	Ghosh W, Alam M, Roy C, Pyne P, George A, Chakraborty R, Majumder S, Agarwal A, Chakraborty S, Majumdar S, Gupta SK	PLoS One	10.1371/journal.pone.0064856	2013
Phylogeny	Reclassification of the members of the genus Tetrathiobacter Ghosh et al. 2005 to the genus Advenella Coenye et al. 2005.	Gibello A, Vela AI, Martin M, Barra-Caracciolo A, Grenni P, Fernandez-Garayzabal JF	Int J Syst Evol Microbiol	10.1099/ijs.0.007443-0	2009
Phylogeny	Advenella alkanexedens sp. nov., an alkane-degrading bacterium isolated from biogas slurry samples.	Wang H, Zhou S, Wang Y, Kong D, Guo X, Zhu J, Dong W, Ruan Z	Int J Syst Evol Microbiol	10.1099/ijsem.0.000811	2015
Phylogeny	Advenella faeciporci sp. nov., a nitrite-denitrifying bacterium isolated from nitrifying-denitrifying activated sludge collected from a laboratory-scale bioreactor treating piggery wastewater.	Matsuoka M, Park S, An SY, Miyahara M, Kim SW, Kamino K, Fushinobu S, Yokota A, Wakagi T, Shoun H	Int J Syst Evol Microbiol	10.1099/ijs.0.037440-0	2012
Phylogeny	Tetrathiobacter kashmirensis gen. nov., sp. nov., a novel mesophilic, neutrophilic, tetrathionate-oxidizing, facultatively chemolithotrophic betaproteobacterium isolated from soil from a temperate orchard in Jammu and Kashmir, India.	Ghosh W, Bagchi A, Mandal S, Dam B, Roy P	Int J Syst Evol Microbiol	10.1099/ijs.0.63595-0	2005

References

#6757	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 17095
#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 )
#27755	IJSEM 1779 2005 ( DOI 10.1099/ijs.0.63595-0 , PubMed 16166666 )
#31452	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 #27755
#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 .
#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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Advenella kashmirensis (DSM 17095, LMG 22965, MTCC 7002)

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

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_000219915

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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