Paenibacillus lignilyticus (JCM 34504, DLE-14, KCTC 43288)

Name: Paenibacillus lignilyticus (JCM 34504, DLE-14, KCTC 43288)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 166858

Type strain

Strain Designation DLE-14

Culture col. no. JCM 34504 DLE-14 KCTC 43288

NCBI tax ID(s) 1172615

Special Collections JCM KCTC

Links

Paenibacillus lignilyticus DLE-14 is a bacterium of the family Paenibacillaceae.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 286548

KCTC 43288,JCM 34504

@ref 20215

Last LPSN update 2026-05-29 08:46:00

Domain Bacteria

Phylum Bacillota

Class Bacilli

Order Caryophanales

Family Paenibacillaceae

Genus Paenibacillus

Species Paenibacillus lignilyticus

Full scientific name Paenibacillus lignilyticus Ham et al. 2022

Morphology

Cell morphology

@ref	Motility	Confidence
125439		91.948

Culture and growth conditions

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	94.841

Spore formation

@ref	Spore formation	Confidence
125439		97.217
125438		92.749

Isolation, sampling and environmental information

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM1794208v1 assembly for Paenibacillus lignilyticus DLE-14	contig	GCA_017942085	1172615.3	8112621089	1172615	59.38

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
20215	Paenibacillus sp. DLE-14 16S ribosomal RNA gene, partial sequence	JQ723703	1451		1172615

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM1794208v1 assembly for Paenibacillus lignilyticus DLE-14
NCBI: GCA_017942085

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	motility	BacteriaNetⓘ	yes	91.95	no
125439	gram_stain	BacteriaNetⓘ	variable	73.36	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	94.84	no
125439	spore_formation	BacteriaNetⓘ	yes	97.22	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Paenibacillus lignilyticus DLE-14
NCBI: GCA_017942085.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	64.38	no
125438	anaerobic	anaerobicⓘ	no	96.98	no
125438	aerobic	aerobicⓘ	yes	75.10	no
125438	spore-forming	spore-formingⓘ	yes	92.75	no
125438	thermophilic	thermophileⓘ	no	94.47	no
125438	flagellated	motile2+ⓘ	yes	83.67	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Paenibacillus artemisiicola sp. nov. and Paenibacillus lignilyticus sp. nov., two new endophytic bacterial species isolated from plant roots.	Ham YJ, Jeong JW, Lee DH, Kim SB	Int J Syst Evol Microbiol	10.1099/ijsem.0.005270	2022

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) .
#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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Paenibacillus lignilyticus (JCM 34504, DLE-14, KCTC 43288)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Physiology and metabolism

Oxygen tolerance

Spore formation

Isolation, sampling and environmental information

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_017942085

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

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