Pseudomonas granadensis (DSM 28040, LMG 27940, F-278,770)

Name: Pseudomonas granadensis (DSM 28040, LMG 27940, F-278,770)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 130577

Type strain

Strain Designation F-278,770

Culture col. no. DSM 28040 LMG 27940 F-278,770

NCBI tax ID(s) 1421430

Special Collections DSMZ

History <- O. Genilloud, Fundación Medina, Granada, Spain; F-278,770 <- J. Pascual

Links

Pseudomonas granadensis F-278 is a mesophilic prokaryote that was isolated from soil.

mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 391090

LMG 27940,DSM 28040

@ref 20215

Last LPSN update 2026-02-09 11:31:15

Domain Bacteria

Phylum Pseudomonadota

Class Gammaproteobacteria

Order Pseudomonadales

Family Pseudomonadaceae

Genus Pseudomonas

Species Pseudomonas granadensis

Full scientific name Pseudomonas granadensis Pascual et al. 2015

Morphology

Cell morphology

@ref	Gram stain	Confidence	Motility
125438	negative	98.5
125438		92.424

Multimedia

@ref:	22027
multimedia content:	DSM_28040.jpg
multimedia.multimedia content:	https://www.dsmz.de/microorganisms/photos/DSM_28040.jpg
intellectual property rights:	© Leibniz-Institut DSMZ
manual_annotation:	1

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
22027	REACTIVATION WITH LIQUID MEDIUM 1 (DSMZ Medium 1a)		Medium recipe at MediaDive	Name: REACTIVATION WITH LIQUID MEDIUM 1 (DSMZ Medium 1a) 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
22027	positive	growth	28	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125438	aerobe	93.003
125439	obligate aerobe	98.9

Compound production

22027

Compoundcytotoxic compounds

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Terrestrial	#Soil

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent	Latitude	Longitude
22027	soil	Granada, Tejeda, Almijara and Alhama Natural Park (36° 55' 53.99'' N 3° 51' 45.34'' W, 885 m above sea level)	Spain	ESP	Europe	36.9317	-3.8626 36.9317/-3.8626

Taxonmaps

69479

Global distribution of 16S sequence HG764746 (>99% sequence identity) for Pseudomonas from Microbeatlas

Aquatic Samples	448
Soil Samples	833
Animal Samples	521
Plant Samples	662
Total Samples	2464

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
22027	1	Risk group (German classification)

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	IMG-taxon 2667527397 annotated assembly for Pseudomonas granadensis LMG 27940	chromosome	GCA_900105485	1421430.4	2667527397	1421430	89.4

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
22027	Pseudomonas granadensis partial 16S rRNA gene, type strain F-278,770T	HG764746	1419		1421430

GC content

@ref	GC-content (mol%)	Method
22027	60.3	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: Pseudomonas granadensis LMG 27940
IMG: 2667527397

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	76.40	no
125439	motility	BacteriaNetⓘ	no	61.70	no
125439	gram_stain	BacteriaNetⓘ	positive	70.70	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	98.90	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Pseudomonas granadensis strain LMG 27940
PATRIC: 1421430.4

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	98.50	no
125438	anaerobic	anaerobicⓘ	no	97.99	no
125438	spore-forming	spore-formingⓘ	no	82.93	no
125438	aerobic	aerobicⓘ	yes	93.00	no
125438	thermophilic	thermophileⓘ	no	98.00	yes
125438	flagellated	motile2+ⓘ	yes	92.42	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Genetics	Plant growth promotion and pathogen protection by the desert endophyte Pseudomonas grandensis R4-79.	Alghanmi L, Elhady A, Parween S, Hirt H.	BMC Microbiol	10.1186/s12866-025-04431-4	2025
	Genomic and functional analyses reveal Pseudomonas granadensis CT364 is a plant growth-promoting endophyte.	Torrescassana EC, Del Carmen Montero-Calasanz M, Knight M, Stach J, Howard TP.	BMC Microbiol	10.1186/s12866-025-04308-6	2025
Genetics	Genome Insights into Beneficial Microbial Strains Composing SIMBA Microbial Consortia Applied as Biofertilizers for Maize, Wheat and Tomato.	Cangioli L, Tabacchioni S, Visca A, Fiore A, Aprea G, Ambrosino P, Ercole E, Sorensen S, Mengoni A, Bevivino A.	Microorganisms	10.3390/microorganisms12122562	2024
Biotechnology	The Co-Inoculation Effect on Triticum aestivum Growth with Synthetic Microbial Communities (SynComs) and Their Potential in Agrobiotechnology	Mazylyte R, Kailiuviene J, Mazoniene E, Orola L, Kaziuniene J, Mazylyte K, Lastauskiene E, Gegeckas A.	Plants (Basel)		2024
	Isolation, characterization, and genetic manipulation of cold-tolerant, manganese-oxidizing Pseudomonas sp. strains.	Jones I, Vermillion D, Tracy C, Denton R, Davis R, Geszvain K.	Appl Environ Microbiol	10.1128/aem.00510-24	2024
Genetics	Identification of Beneficial Microbial Consortia and Bioactive Compounds with Potential as Plant Biostimulants for a Sustainable Agriculture.	Tabacchioni S, Passato S, Ambrosino P, Huang L, Caldara M, Cantale C, Hett J, Del Fiore A, Fiore A, Schluter A, Sczyrba A, Maestri E, Marmiroli N, Neuhoff D, Nesme J, Sorensen SJ, Aprea G, Nobili C, Presenti O, Giovannetti G, Giovannetti C, Pihlanto A, Brunori A, Bevivino A.	Microorganisms	10.3390/microorganisms9020426	2021
	Novel Pseudomonas sp. SCA7 Promotes Plant Growth in Two Plant Families and Induces Systemic Resistance in Arabidopsis thaliana.	Kuhl-Nagel T, Rodriguez PA, Gantner I, Chowdhury SP, Schwehn P, Rosenkranz M, Weber B, Schnitzler JP, Kublik S, Schloter M, Rothballer M, Falter-Braun P.	Front Microbiol	10.3389/fmicb.2022.923515	2022
Pathogenicity	Identification of the Lipodepsipeptide MDN-0066, a Novel Inhibitor of VHL/HIF Pathway Produced by a New Pseudomonas Species.	Cautain B, de Pedro N, Schulz C, Pascual J, Sousa Tda S, Martin J, Perez-Victoria I, Asensio F, Gonzalez I, Bills GF, Reyes F, Genilloud O, Vicente F	PLoS One	10.1371/journal.pone.0125221	2015
	Oxidative stress protection and growth promotion activity of Pseudomonas mercuritolerans sp. nov., in forage plants under mercury abiotic stress conditions.	Robas Mora M, Fernandez Pastrana VM, Gonzalez Reguero D, Gutierrez Oliva LL, Probanza Lobo A, Jimenez Gomez PA.	Front Microbiol	10.3389/fmicb.2022.1032901	2022
Phylogeny	Pseudomonas kribbensis sp. nov., isolated from garden soils in Daejeon, Korea.	Chang DH, Rhee MS, Kim JS, Lee Y, Park MY, Kim H, Lee SG, Kim BC	Antonie Van Leeuwenhoek	10.1007/s10482-016-0743-0	2016
Phylogeny	Pseudomonas granadensis sp. nov., a new bacterial species isolated from the Tejeda, Almijara and Alhama Natural Park, Granada, Spain.	Pascual J, Garcia-Lopez M, Bills GF, Genilloud O	Int J Syst Evol Microbiol	10.1099/ijs.0.069260-0	2014
Phylogeny	Pseudomonas turukhanskensis sp. nov., isolated from oil-contaminated soils.	Korshunova TY, Ramirez-Bahena MH, Chetverikov SP, Igual JM, Peix A, Loginov O	Int J Syst Evol Microbiol	10.1099/ijsem.0.001406	2016

References

#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 )
#22027	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 28040
#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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Pseudomonas granadensis (DSM 28040, LMG 27940, F-278,770)

Name and taxonomic classification

Morphology

Cell morphology

Multimedia

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Compound production

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_900105485

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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