Kineococcus rubinsiae (DSM 110506, NRRL B-65556, B12)

Name: Kineococcus rubinsiae (DSM 110506, NRRL B-65556, B12)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 160322

Type strain

Strain Designation B12

Culture col. no. DSM 110506 NRRL B-65556 B12

NCBI tax ID(s) 2609562

Special Collections DSMZ

Links

Kineococcus rubinsiae B12 is a mesophilic prokaryote that was isolated from JPL-SAF cleanroom surface.

mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 404988

DSM 110506

@ref 20215

Last LPSN update 2025-12-16 10:08:28

Domain Bacillati

Phylum Actinomycetota

Class Actinomycetes

Order Kineosporiales

Family Kineosporiaceae

Genus Kineococcus

Species Kineococcus rubinsiae

Full scientific name Kineococcus rubinsiae Mhatre et al. 2021

Morphology

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
67225	GYM STREPTOMYCES MEDIUM (DSMZ Medium 65)		Medium recipe at MediaDive	Name: GYM STREPTOMYCES MEDIUM (DSMZ Medium 65) Composition: Agar 18.0 g/l Malt extract 10.0 g/l Yeast extract 4.0 g/l Glucose 4.0 g/l CaCO3 2.0 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
67225	positive	growth	28	mesophilic

Physiology and metabolism

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
67225	JPL-SAF cleanroom surface	Pasadena	USA	USA	North America

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM1183980v1 assembly for Kineococcus rubinsiae B12	contig	GCA_011839805	2609562.3	2894018607	2609562	53.19

Genome browser: GCA_011839805

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
67225	Kineococcus rubinsiae strain B12 16S ribosomal RNA gene, partial sequence	MN493040	1508		2609562

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Kineococcus rubinsiae B12
NCBI: GCA_011839805

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	80.80	no
125439	motility	BacteriaNetⓘ	no	53.20	no
125439	gram_stain	BacteriaNetⓘ	positive	82.10	no
125439	oxygen_tolerance	BacteriaNetⓘ	facultative anaerobe	71.50	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Kineococcus rubinsiae B12
NCBI: GCA_011839805.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	84.39	no
125438	anaerobic	anaerobicⓘ	no	98.59	no
125438	aerobic	aerobicⓘ	yes	85.98	no
125438	spore-forming	spore-formingⓘ	no	56.65	no
125438	thermophilic	thermophileⓘ	no	96.50	no
125438	flagellated	motile2+ⓘ	no	61.50	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Description of Chloramphenicol Resistant Kineococcus rubinsiae sp. nov. Isolated From a Spacecraft Assembly Facility.	Mhatre S, Singh NK, Wood JM, Parker CW, Pukall R, Verbarg S, Tindall BJ, Neumann-Schaal M, Venkateswaran K	Front Microbiol	10.3389/fmicb.2020.01957	2020

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) .
#67225	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 110506
#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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Kineococcus rubinsiae (DSM 110506, NRRL B-65556, B12)

Name and taxonomic classification

Morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Isolation, sampling and environmental information

Isolation

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_011839805

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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