Pseudomonas paralactis (DSM 29164, LMG 28439, WS 4672)

Name: Pseudomonas paralactis (DSM 29164, LMG 28439, WS 4672)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 140300

Type strain

Strain Designation WS 4672

Culture col. no. DSM 29164 LMG 28439 WS 4672

NCBI tax ID(s) 1615673

Special Collections DSMZ Literature strains

History DSMZ <- M. Wenning, (ZIEL), TU Munich, Microbiology, Germany; WS 4672 <- M. Freiherr von Neubeck

Links

Pseudomonas paralactis WS 4672 is an aerobe, Gram-negative, motile bacterium that forms circular colonies and was isolated from bovine raw milk.

Gram-negative motile rod-shaped colony-forming aerobe genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 401223

LMG 28439,DSM 29164

@ref 20215

Last LPSN update 2026-05-29 08:39:41

Domain Bacteria

Phylum Pseudomonadota

Class Gammaproteobacteria

Order Pseudomonadales

Family Pseudomonadaceae

Genus Pseudomonas

Species Pseudomonas paralactis

Full scientific name Pseudomonas paralactis von Neubeck et al. 2017

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Confidence
43273	negative	1.5-5.5 µm	0.75 µm	rod-shaped
125438					93.497
125438	negative				99.5

Colony morphology

@ref	Colony size	Colony color	Colony shape	Incubation period	Medium used
43273	0.5-1.0 mm	beige	circular	1 day	TSG

Pigmentation

@ref	Production	Name
43273		fluorescent pigment

Multimedia

@ref:	42907
multimedia content:	DSM_29164.jpg
multimedia.multimedia content:	https://www.dsmz.de/microorganisms/photos/DSM_29164.jpg
intellectual property rights:	© Leibniz-Institut DSMZ
manual_annotation:	1

Culture and growth conditions

Culture medium

@ref	Name	Medium link	Composition
43273	TSG		trypticase soy agar (TSA; Roth) supplemented with 1 % glucose
43273	Reasoner's 2A agar (R2A)
43273	cetrimide agar
42907	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)
42907	positive	growth	28
43273	positive	optimum	27-31
43273	positive	growth	4-35

Culture pH

@ref	Ability	Type	PH
43273	positive	optimum	6.0-7.5
43273	positive	growth	5-8

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
43273	aerobe
125438	aerobe	91.782
125439	facultative anaerobe	90.83

Spore formation

@ref	Type of spore	Spore formation	Confidence
43273	endospore
125439			99.495

Halophily

@ref	Salt	Growth	Tested relation	Concentration
43273	NaCl	positive	growth	0-6.0 %(w/v)
43273	NaCl	positive	optimum	0-1 %

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
43273	27613 ChEBI	amygdalin	-	carbon source
43273	18305 ChEBI	arbutin	-	carbon source
43273	17057 ChEBI	cellobiose	-	carbon source
43273	17057 ChEBI	cellobiose	+	builds acid from
43273	17108 ChEBI	D-arabinose	-	carbon source
43273	17108 ChEBI	D-arabinose	+	builds acid from
43273	18333 ChEBI	D-arabitol	+	carbon source
43273	15824 ChEBI	D-fructose	+	carbon source
43273	15824 ChEBI	D-fructose	+	builds acid from
43273	28847 ChEBI	D-fucose	-	carbon source
43273	28847 ChEBI	D-fucose	+	builds acid from
43273	12936 ChEBI	D-galactose	+	carbon source
43273	12936 ChEBI	D-galactose	+	builds acid from
43273	17634 ChEBI	D-glucose	+	carbon source
43273	17634 ChEBI	D-glucose	+	builds acid from
43273	62318 ChEBI	D-lyxose	+	carbon source
43273	62318 ChEBI	D-lyxose	+	builds acid from
43273	16899 ChEBI	D-mannitol	+	carbon source
43273	16899 ChEBI	D-mannitol	+	builds acid from
43273	16024 ChEBI	D-mannose	+	carbon source
43273	16024 ChEBI	D-mannose	+	builds acid from
43273	16988 ChEBI	D-ribose	+	carbon source
43273	16988 ChEBI	D-ribose	+	builds acid from
43273	17924 ChEBI	D-sorbitol	-	carbon source
43273	16443 ChEBI	D-tagatose	-	carbon source
43273	65327 ChEBI	D-xylose	+	carbon source
43273	65327 ChEBI	D-xylose	+	builds acid from
43273	17113 ChEBI	erythritol	+	carbon source
43273	17113 ChEBI	erythritol	+	builds acid from
43273	16813 ChEBI	galactitol	-	carbon source
43273	5291 ChEBI	gelatin	+	hydrolysis
43273	28066 ChEBI	gentiobiose	-	carbon source
43273	28066 ChEBI	gentiobiose	+	builds acid from
43273	17754 ChEBI	glycerol	+	carbon source
43273	17754 ChEBI	glycerol	+	builds acid from
43273	28087 ChEBI	glycogen	-	carbon source
43273	30849 ChEBI	L-arabinose	+	carbon source
43273	30849 ChEBI	L-arabinose	+	builds acid from
43273	18403 ChEBI	L-arabitol	+	carbon source
43273	18403 ChEBI	L-arabitol	+	builds acid from
43273	18287 ChEBI	L-fucose	-	carbon source
43273	62345 ChEBI	L-rhamnose	-	carbon source
43273	62345 ChEBI	L-rhamnose	+	builds acid from
43273	17266 ChEBI	L-sorbose	-	carbon source
43273	65328 ChEBI	L-xylose	-	carbon source
43273	17716 ChEBI	lactose	-	carbon source
43273	17306 ChEBI	maltose	-	carbon source
43273	6731 ChEBI	melezitose	-	carbon source
43273	28053 ChEBI	melibiose	-	carbon source
43273	28053 ChEBI	melibiose	+	builds acid from
43273	320061 ChEBI	methyl alpha-D-glucopyranoside	-	carbon source
43273	43943 ChEBI	methyl alpha-D-mannoside	-	carbon source
43273	74863 ChEBI	methyl beta-D-xylopyranoside	-	carbon source
43273	17268 ChEBI	myo-inositol	+	carbon source
43273	17268 ChEBI	myo-inositol	+	builds acid from
43273	506227 ChEBI	N-acetylglucosamine	+	carbon source
43273	17632 ChEBI	nitrate	-	reduction
43273	16301 ChEBI	nitrite	-	reduction
43273	32032 ChEBI	potassium gluconate	+	carbon source
43273	16634 ChEBI	raffinose	-	carbon source
43273	15963 ChEBI	ribitol	+	carbon source
43273	15963 ChEBI	ribitol	+	builds acid from
43273	17814 ChEBI	salicin	-	carbon source
43273		skimmed milk	+	degradation
43273	28017 ChEBI	starch	-	hydrolysis
43273	17992 ChEBI	sucrose	-	carbon source
43273	27082 ChEBI	trehalose	+	carbon source
43273	27082 ChEBI	trehalose	+	builds acid from
43273	32528 ChEBI	turanose	-	carbon source
43273	17151 ChEBI	xylitol	+	carbon source
43273	17151 ChEBI	xylitol	+	builds acid from

Metabolite production

@ref	Chebi-ID	Metabolite
43273	15688 ChEBI	acetoin
43273	16136 ChEBI	hydrogen sulfide
43273	35581 ChEBI	indole

Metabolite tests

@ref	Chebi-ID	Metabolite	Voges-proskauer-test
43273	15688 ChEBI	acetoin	-

Enzymes

@ref	Value	Activity	Ec
43273	arginine dihydrolase	+	3.5.3.6
43273	beta-galactosidase	-	3.2.1.23
43273	catalase	+	1.11.1.6
43273	cytochrome oxidase	+	1.9.3.1
43273	lysine decarboxylase	-	4.1.1.18
43273	ornithine decarboxylase	-	4.1.1.17
43273	tryptophan deaminase	-	4.1.99.1
43273	urease	-	3.5.1.5

Fatty acid profile

Metadata FA analysis

@ref

43273

Fatty acid	Percentage
C16:1ω7c / C15:0 iso 2OH	33.1
C16:0	29.1
C18:1ω7c	18.4
C12:0	3.9
C12:0 3OH	3.8
C10:0 3OH	3.4
C12:0 2OH	3.4
cyclo-C17:0	3.1

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host	#Mammals	#Bovinae (Cow, Cattle)
#Host Body Product	#Fluids	#Milk

Isolation

@ref	Sample type	Country	Country ISO 3 Code	Continent
42907	bovine raw milk	Germany	DEU	Europe
43273	raw bovine milk

Taxonmaps

69479

Global distribution of 16S sequence KP756921 (>99% sequence identity) for Pseudomonas from Microbeatlas

Aquatic Samples	1631
Soil Samples	874
Animal Samples	3216
Plant Samples	2451
Total Samples	8172

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
42907	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	mG273 assembly for Pseudomonas paralactis DSM 29164	contig	GCA_001439735	1615673.3	2693429756	1615673	72.32

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
42907	Pseudomonas paralactis strain DSM 29164 16S ribosomal RNA gene, partial sequence	KP756921	1428		1615673
124043	Pseudomonas paralactis strain DSM 29164 16S ribosomal RNA gene, partial sequence.	MN527022	485		1615673

GC content

@ref	GC-content (mol%)	Method
43273	59.7
42907	59.7	sequence analysis

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: mG273 assembly for Pseudomonas paralactis DSM 29164
BV-BRC: 1615673.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	gram_stain	BacteriaNetⓘ	negative	85.61	no
125439	oxygen_tolerance	BacteriaNetⓘ	facultative anaerobe	90.83	no
125439	motility	BacteriaNetⓘ	yes	73.39	no
125439	spore_formation	BacteriaNetⓘ	no	99.50	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Pseudomonas sp. DSM 29164
PATRIC: 1615673.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	99.50	no
125438	anaerobic	anaerobicⓘ	no	98.26	yes
125438	spore-forming	spore-formingⓘ	no	85.49	yes
125438	aerobic	aerobicⓘ	yes	91.78	yes
125438	thermophilic	thermophileⓘ	no	99.00	yes
125438	flagellated	motile2+ⓘ	yes	93.50	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	Diversity analysis of endophytes with antimicrobial and antioxidant potential from Viola odorata: an endemic plant species of the Himalayas.	Salwan R, Salwan R, Rana A, Saini R, Sharma A, Sharma M, Sharma V.	Braz J Microbiol	10.1007/s42770-023-01010-5	2023
	Complete Genome Sequence of a Pseudomonas Species Isolated from Tailings Pond Water in Alberta, Canada.	Shideler S, Headley J, Gauthier J, Kukavica-Ibrulj I, Levesque RC, Lewenza S.	Microbiol Resour Announc	10.1128/mra.01174-20	2021
	Artificial symbiont replacement in a vertically transmitted plant symbiosis reveals a role for microbe-microbe interactions in enforcing specificity.	Ninzatti L, Sana TG, Acar T, Moreau S, Jardinaud MF, Marti G, Coen O, Carlier AL.	ISME J	10.1093/ismejo/wraf177	2025
	Growth Efficiency of Chlorella sorokiniana in Synthetic Media and Unsterilized Domestic Wastewater.	Bulynina SS, Ziganshina EE, Ziganshin AM.	BioTech (Basel)	10.3390/biotech12030053	2023
	Pseudomonas azotoformans Belonging to Pseudomonas fluorescens Group as Causative Agent of Blue Coloration in Carcasses of Slaughterhouse Rabbits.	Circella E, Schiavone A, Barrasso R, Camarda A, Pugliese N, Bozzo G.	Animals (Basel)	10.3390/ani10020256	2020
	Oak (Quercus robur) Associated Endophytic Paenibacillus sp. Promotes Poplar (Populus spp.) Root Growth In Vitro.	Vaitiekunaite D, Kuusiene S, Beniusyte E.	Microorganisms	10.3390/microorganisms9061151	2021
	Growth Characteristics of Chlorella sorokiniana in a Photobioreactor during the Utilization of Different Forms of Nitrogen at Various Temperatures.	Ziganshina EE, Bulynina SS, Ziganshin AM.	Plants (Basel)	10.3390/plants11081086	2022
	Simultaneous quantification of the most common and proteolytic Pseudomonas species in raw milk by multiplex qPCR.	Maier C, Hofmann K, Huptas C, Scherer S, Wenning M, Lucking G.	Appl Microbiol Biotechnol	10.1007/s00253-021-11109-0	2021
Phylogeny	Pseudomonas carnis sp. nov., isolated from meat.	Lick S, Krockel L, Wibberg D, Winkler A, Blom J, Bantleon A, Goesmann A, Kalinowski J	Int J Syst Evol Microbiol	10.1099/ijsem.0.003928	2020
Phylogeny	Pseudomonas lactis sp. nov. and Pseudomonas paralactis sp. nov., isolated from bovine raw milk.	von Neubeck M, Huptas C, Gluck C, Krewinkel M, Stoeckel M, Stressler T, Fischer L, Hinrichs J, Scherer S, Wenning M	Int J Syst Evol Microbiol	10.1099/ijsem.0.001836	2017

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 )
#42907	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 29164
#43273	Mario von Neubeck, Christopher Huptas, Claudia Glück, Manuel Krewinkel, Marina Stoeckel, Timo Stressler, Lutz Fischer, Jörg Hinrichs, Siegfried Scherer and Mareike Wenning: Pseudomonas lactis sp. nov. and Pseudomonas paralactis sp.nov., isolated from bovine raw milk. IJSEM 67: 1656 - 1664 2017 ( DOI 10.1099/ijsem.0.001836 , PubMed 28141500 )
#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 )

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Pseudomonas paralactis (DSM 29164, LMG 28439, WS 4672)

Name and taxonomic classification

Morphology

Cell morphology

Colony morphology

Pigmentation

Multimedia

Culture and growth conditions

Culture medium

Culture temp

Culture pH

Physiology and metabolism

Oxygen tolerance

Spore formation

Halophily

Metabolite utilization

Metabolite production

Metabolite tests

Enzymes

Fatty acid profile

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_001439735

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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