Leucobacter sp. (DSM 103223, PH1c)

Name: Leucobacter sp. (DSM 103223, PH1c)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 169644

Type strain

Strain Designation PH1c

Culture col. no. DSM 103223 PH1c

NCBI tax ID(s) 1898440

Special Collections DSMZ

Links

PH1c is a mesophilic prokaryote that was isolated from Nepenthes digestive fluid.

mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 406894

DSM 103223

@ref 20215

Last LPSN update 2025-12-16 10:10:38

Domain Bacillati

Phylum Actinomycetota

Class Actinomycetes

Order Micrococcales

Family Microbacteriaceae

Genus Leucobacter

Full scientific name Leucobacter Takeuchi et al. 1996

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	positive	99
125438	positive	90.116
125438		94

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
68973	TRYPTICASE SOY YEAST EXTRACT MEDIUM (DSMZ Medium 92)		Medium recipe at MediaDive	Name: TRYPTICASE SOY YEAST EXTRACT MEDIUM (DSMZ Medium 92) Composition: Trypticase soy broth 30.0 g/l Agar 15.0 g/l Yeast extract 3.0 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
68973	positive	growth	28	mesophilic

Physiology and metabolism

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
68973	Nepenthes digestive fluid	Pahang, Mossy Forest	Malaysia	MYS	Asia

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM63341v1 assembly for Leucobacter sp. PH1c	contig	GCA_000633415	1397278.3	2576861310	1397278	55.89

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
68973	Leucobacter sp. PH1c 16S ribosomal RNA gene, partial sequence	KF557602	1470		1397278

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Leucobacter sp. PH1c
NCBI: GCA_000633415

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	61.80	no
125439	motility	BacteriaNetⓘ	no	73.60	no
125439	gram_stain	BacteriaNetⓘ	positive	99.00	no
125439	oxygen_tolerance	BacteriaNetⓘ	facultative anaerobe	87.90	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Leucobacter sp. PH1c
PATRIC: 1397278.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	90.12	no
125438	anaerobic	anaerobicⓘ	no	98.31	no
125438	spore-forming	spore-formingⓘ	no	82.42	no
125438	aerobic	aerobicⓘ	yes	86.14	no
125438	thermophilic	thermophileⓘ	no	96.50	no
125438	flagellated	motile2+ⓘ	no	94.00	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 )
#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) .
#68973	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 103223
#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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