Cite this strain

Enterobacter mori (JCM 14687)

Name: Enterobacter mori (JCM 14687)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 161525

Type strain

Culture col. no. JCM 14687

NCBI tax ID(s) 539813

Special Collections JCM

Links

Enterobacter mori JCM 14687 is a mesophilic prokaryote that was isolated from Stem of wild rice W1989.

mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 390789

JCM 14687

@ref 20215

Last LPSN update 2025-12-16 10:08:45

Domain Pseudomonadati

Phylum Pseudomonadota

Class Gammaproteobacteria

Order Enterobacterales

Family Enterobacteriaceae

Genus Enterobacter

Species Enterobacter mori

Full scientific name Enterobacter mori Zhu et al. 2011

Synonyms (1)

Enterobacter tabaci

BacDive ID	Other strains from **Enterobacter mori** (3)	Type strain
4384	E. mori R18-2, DSM 26271, CGMCC 1.10322, LMG 25706 (type strain)
132602	E. mori DSM 28020, CGMCC 1.15707, KACC 17832, KCTC ... (type strain)
152760	E. mori CCUG 47562

Morphology

Cell morphology

@ref	Gram stain	Confidence
125438	negative	98.5
125439	negative	99.2

Culture and growth conditions

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
67770	positive	growth	30	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	aerobe	91.2

Spore formation

@ref	Spore formation	Confidence
125439		98

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Host species
67770	Stem of wild rice (Oryza rufipogon) W1989	Oryza rufipogon

Taxonmaps

69479

Global distribution of 16S sequence AB049108 (>99% sequence identity) for Enterobacteriaceae from Microbeatlas

Aquatic Samples	1353
Soil Samples	615
Animal Samples	10132
Plant Samples	1234
Total Samples	13334

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID
67770	ASM33363v1 assembly for Enterobacter sp. B509	scaffold	GCA_000333635	137719.3	2551306537	137719

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
67770	Enterobacter sp. B509 gene for 16S rRNA, partial sequence	AB049108	1063		137719

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Enterobacter sp. B509
NCBI: GCA_000333635

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	98.00	no
125439	motility	BacteriaNetⓘ	yes	68.90	no
125439	gram_stain	BacteriaNetⓘ	negative	99.20	no
125439	oxygen_tolerance	BacteriaNetⓘ	aerobe	91.20	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Enterobacter sp. B509 B509
NCBI: GCA_000333635.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	98.50	no
125438	anaerobic	anaerobicⓘ	no	90.49	no
125438	aerobic	aerobicⓘ	no	58.76	no
125438	spore-forming	spore-formingⓘ	no	89.39	no
125438	thermophilic	thermophileⓘ	no	95.96	no
125438	flagellated	motile2+ⓘ	yes	65.75	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 )
#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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