Cite this strain

Geomicrobium sp. (JCM 19037)

Name: Geomicrobium sp. (JCM 19037)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 162372

Type strain

Culture col. no. JCM 19037

NCBI tax ID(s) 1460634

Special Collections JCM

History T. Kudo F309.

Links

JCM 19037 is a mesophilic prokaryote that was isolated from Sword-tail newt .

mesophilic genome sequence

Name and taxonomic classification

SI-ID 384507

JCM 19037

@ref 20215

Last LPSN update 2026-02-09 11:39:23

Domain Bacteria

Phylum Bacillota

Class Bacilli

Order Caryophanales

Family Bacillaceae

Genus Geomicrobium

Full scientific name Geomicrobium Echigo et al. 2010

Morphology

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	obligate aerobe	96.9

Spore formation

@ref	Spore formation	Confidence
125439		91

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Host species	Geographic location	Country	Country ISO 3 Code	Continent
67770	Sword-tail newt (Cynops ensicauda popei)	Cynops ensicauda popei	main island of Okinawa	Japan	JPN	Asia

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
67770	ASM69810v1 assembly for Geomicrobium sp. JCM 19037	contig	GCA_000698105	1460634.3	2609460133	1460634	36.71

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Geomicrobium sp. JCM 19037
NCBI: GCA_000698105

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	yes	91.00	no
125439	motility	BacteriaNetⓘ	yes	89.20	no
125439	gram_stain	BacteriaNetⓘ	variable	81.70	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	96.90	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Geomicrobium sp. JCM 19037
PATRIC: 1460634.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	79.98	no
125438	anaerobic	anaerobicⓘ	no	99.59	no
125438	spore-forming	spore-formingⓘ	yes	76.59	no
125438	aerobic	aerobicⓘ	yes	81.76	no
125438	thermophilic	thermophileⓘ	no	93.18	yes
125438	flagellated	motile2+ⓘ	yes	80.31	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Genetics	Draft Genome Sequences of Geomicrobium sp. Strains JCM 19037, JCM 19038, JCM 19039, and JCM 19055, Isolated from Aquatic Samples.	Kudo T, Nakahara T, Zhang X, Taniyama S, Arakawa O, Murase S, Nakata H, Oshima K, Suda W, Kitamura K, Iida T, Oshida Y, Inoue T, Hongoh Y, Hattori M, Ohkuma M	Genome Announc	10.1128/genomeA.00622-14	2014

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;
#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 )

Rate our new design

Content

About us

Geomicrobium sp. (JCM 19037)

Name and taxonomic classification

Morphology

Culture and growth conditions

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Isolation, sampling and environmental information

Isolation

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_000698105

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

Help

Social Media