Pseudomonas sp. (DSM 103278, PH 1b, PH1b)

Name: Pseudomonas sp. (DSM 103278, PH 1b, PH1b)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 131910

Type strain

Strain Designation PH 1b, PH1b

Culture col. no. DSM 103278 PH 1b PH1b

NCBI tax ID(s) 306

Special Collections DSMZ

History <- X. Y. Chan, Univ. of Malaya, Kuala Lumpur, Malaysia; PH1b

Links

PH 1b is a bacterium that was isolated from carnivorous plant Nepenthes digestive fluid.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 406404

DSM 103278

@ref 20215

Last LPSN update 2026-02-09 11:31:35

Domain Bacteria

Phylum Pseudomonadota

Class Gammaproteobacteria

Order Pseudomonadales

Family Pseudomonadaceae

Genus Pseudomonas

Full scientific name Pseudomonas Migula 1894 (Approved Lists 1980)

Synonyms (9)

Chryseomonas
Metapseudomonas
Zestomonas
"Caenipseudomonas"
Phytopseudomonas
Ectopseudomonas
Aquipseudomonas
Geopseudomonas
Flavimonas

Morphology

Cell morphology

@ref	Confidence	Gram stain
125438	91.943
125438	97.482	negative
125439	99	negative
125439	91.9

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
23702	TRYPTICASE SOY BROTH AGAR (DSMZ Medium 535)		Medium recipe at MediaDive	Name: TRYPTICASE SOY BROTH AGAR (DSMZ Medium 535) Composition: Trypticase soy broth 30.0 g/l Agar 15.0 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
23702	positive	growth	28

Physiology and metabolism

Spore formation

@ref	Spore formation	Confidence
125439		99.5

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host	#Plants	-
#Host Body Product	#Plant	#Digestive fluid
#Climate	#Hot	#Tropical

Isolation

@ref	Sample type	Host species	Geographic location	Country	Country ISO 3 Code	Continent	Latitude	Longitude
23702	carnivorous plant Nepenthes digestive fluid	Nepenthes	Pahang, Mossy Forest	Malaysia	MYS	Asia	4.5167	101.367 4.5167/101.367

Taxonmaps

69479

Global distribution of 16S sequence KF557601 (>99% sequence identity) for Pseudomonas from Microbeatlas

Aquatic Samples	6618
Soil Samples	5812
Animal Samples	11260
Plant Samples	5019
Total Samples	28709

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM63339v1 assembly for Pseudomonas sp. PH1b	contig	GCA_000633395	1397282.3	2576861014	1397282	61.12

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
23702	Pseudomonas sp. PH1b 16S ribosomal RNA gene, partial sequence	KF557601	1498		1397282

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Pseudomonas sp. PH1b
NCBI: GCA_000633395

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	99.50	no
125439	motility	BacteriaNetⓘ	yes	91.90	no
125439	gram_stain	BacteriaNetⓘ	negative	99.00	no
125439	oxygen_tolerance	BacteriaNetⓘ	facultative aerobe	63.00	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Pseudomonas sp. PH1b
PATRIC: 1397282.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	97.48	no
125438	anaerobic	anaerobicⓘ	no	97.60	no
125438	spore-forming	spore-formingⓘ	no	81.79	no
125438	aerobic	aerobicⓘ	yes	89.91	no
125438	thermophilic	thermophileⓘ	no	98.00	yes
125438	flagellated	motile2+ⓘ	yes	91.94	no

Literature

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 )
#23702	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 103278
#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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