Cite this strain

Microbacterium terricola (NRRL B-24468, NBRC 101801, JCM 14903)

Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 161552

Type strain

Culture col. no. NRRL B-24468 NBRC 101801 JCM 14903

NCBI tax ID(s) 344163

Special Collections JCM

Links

Name and taxonomic classification

Microbacterium terricola JCM 14903 is a mesophilic bacterium that was isolated from Soil form a cemetery in Aoyama.

mesophilic genome sequence 16S sequence Bacteria

Culture Collection Numbers

NRRL B-24468 NBRC 101801 JCM 14903

Last LPSN update 2024-12-09 10:52:26

Domain Bacteria

Phylum Actinomycetota

Class Actinomycetes

Order Micrococcales

Family Microbacteriaceae

Genus Microbacterium

Species Microbacterium terricola

Full scientific name Microbacterium terricola corrig. Kageyama et al. 2007

Synonyms (1)

Microbacterium terricolae

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	positive	98.3
125438		93
125438	positive	90.723

Culture and growth conditions

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
67770	positive	growth	28	mesophilic

Physiology and metabolism

Observation

67770

Observationquinones: MK-12, MK-13

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	99.6

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
67770	Soil form a cemetery in Aoyama	Tokyo	Japan	JPN	Asia

Safety information

Sequence information

GC content

@ref	GC-content (mol%)	Method
67770	70	high performance liquid chromatography (HPLC)

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
67770	Microbacterium terricola gene for 16S rRNA, partial sequence	AB234025	1434		344163

Genome sequences

@ref	Description	Accession	Assembly level	Database	NCBI tax ID
66792	Microbacterium terricola JCM 14903	GCA_025758395	complete		344163

Genome-based predictions

Predictions

Predictions from Diaspora project based on:
Microbacterium terricola JCM 14903
NCBI: GCA_025758395

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	81.40	no
125439	motility	BacteriaNetⓘ	no	57.30	no
125439	gram_stain	BacteriaNetⓘ	positive	98.30	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	99.60	no

Predictions from Diaspora project based on:
Microbacterium terricola JCM 14903
NCBI: GCA_025758395.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	90.72	no
125438	anaerobic	anaerobicⓘ	no	98.26	no
125438	aerobic	aerobicⓘ	yes	89.16	no
125438	spore-forming	spore-formingⓘ	no	81.77	no
125438	thermophilic	thermophileⓘ	no	94.93	no
125438	flagellated	motile2+ⓘ	no	93.00	no

External links

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Microbacterium terricolae sp. nov., isolated from soil in Japan.	Kageyama A, Takahashi Y, Omura S	J Gen Appl Microbiol	10.2323/jgam.53.1	2007

Culture collection no.

Culture collection no.
NRRL B-24468
NBRC 101801
JCM 14903

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) .
#67770	Japan Collection of Microorganism (JCM) ; Curators of the JCM;
#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 .

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