Lentibacillus amyloliquefaciens (ACCC 06401, JCM 19838)

Name: Lentibacillus amyloliquefaciens (ACCC 06401, JCM 19838)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 162624

Type strain

Culture col. no. ACCC 06401 JCM 19838

NCBI tax ID(s) 1472767

Special Collections JCM

History Z. Ruan; Inst. of Agric. Resour. & Reg. Plann., CAAS, China; LAM0015.

Links

Lentibacillus amyloliquefaciens JCM 19838 is a bacterium that was isolated from Saline sediment from Bohai Sea at Yantai City.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 132152

JCM 19838

@ref 20215

Last LPSN update 2026-02-09 11:39:26

Domain Bacteria

Phylum Bacillota

Class Bacilli

Order Caryophanales

Family Bacillaceae

Genus Lentibacillus

Species Lentibacillus amyloliquefaciens

Full scientific name Lentibacillus amyloliquefaciens Wang et al. 2016

Morphology

Culture and growth conditions

Culture temp

@ref	Growth	Type	Temperature (°C)
67770	positive	growth	35

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	94.2

Spore formation

@ref	Spore formation	Confidence
125439		92.1

Observation

67770

Observationquinones: MK-7

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Country	Country ISO 3 Code	Continent
67770	Saline sediment from Bohai Sea at Yantai City	China	CHN	Asia

Taxonmaps

69479

Global distribution of 16S sequence KJ002449 (>99% sequence identity) for Lentibacillus amyloliquefaciens from Microbeatlas

Aquatic Samples	36
Soil Samples	55
Animal Samples	137
Plant Samples	6
Total Samples	234

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
67770	ASM130780v2 assembly for Lentibacillus amyloliquefaciens LAM0015	complete	GCA_001307805	1472767.6	2667527554	1472767	92.9

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
67770	Lentibacillus amyloliquefaciens strain LAM0015 16S ribosomal RNA gene, partial sequence	KJ002449	1472		1472767

GC content

@ref	GC-content (mol%)	Method
67770	41.12	genome sequence analysis
67770	43.1	thermal denaturation, midpoint method (Tm)

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Lentibacillus amyloliquefaciens strain LAM0015
PATRIC: 1472767.6

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	yes	92.10	no
125439	motility	BacteriaNetⓘ	yes	86.30	no
125439	gram_stain	BacteriaNetⓘ	variable	87.40	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	94.20	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Lentibacillus amyloliquefaciens strain LAM0015
PATRIC: 1472767.6

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	85.90	no
125438	anaerobic	anaerobicⓘ	no	97.25	no
125438	spore-forming	spore-formingⓘ	yes	77.30	no
125438	aerobic	aerobicⓘ	yes	77.88	no
125438	thermophilic	thermophileⓘ	no	91.15	no
125438	flagellated	motile2+ⓘ	no	56.06	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Lentibacillus amyloliquefaciens sp. nov., a halophilic bacterium isolated from saline sediment sample.	Wang JL, Ma KD, Wang YW, Wang HM, Li YB, Zhou S, Chen XR, Kong DL, Guo X, He MX, Ruan ZY	Antonie Van Leeuwenhoek	10.1007/s10482-015-0618-9	2015

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 )
#67770	Japan Collection of Microorganism (JCM) ; Curators of the JCM;
#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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Lentibacillus amyloliquefaciens (ACCC 06401, JCM 19838)

Name and taxonomic classification

Morphology

Culture and growth conditions

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Observation

Isolation, sampling and environmental information

Isolation

Taxonmaps

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_001307805

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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