Neoroseomonas rubea (MO17, NBRC 114495, KACC 19933)

Name: Neoroseomonas rubea (MO17, NBRC 114495, KACC 19933)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 168277

Type strain

Strain Designation MO17

Culture col. no. MO17 NBRC 114495 KACC 19933

NCBI tax ID(s) 2748666

Neoroseomonas rubea MO17 is a prokaryote of the family Acetobacteraceae.

genome sequence 16S sequence

Name and taxonomic classification

Culture Collection Numbers

MO17 NBRC 114495 KACC 19933

@ref 20215

Last LPSN update 2026-02-09 11:40:46

Domain Bacteria

Phylum Pseudomonadota

Class Alphaproteobacteria

Order Rhodospirillales

Family Acetobacteraceae

Genus Neoroseomonas

Species Neoroseomonas rubea

Full scientific name Neoroseomonas rubea (Lee and Whang 2022) Liu and Xin 2025

Synonyms (1)

Roseomonas rubea

Morphology

Cell morphology

@ref	Gram stain	Confidence
125438	negative	98.31

Culture and growth conditions

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	97.9

Spore formation

@ref	Spore formation	Confidence
125439		92.7

Isolation, sampling and environmental information

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID
66792	ASM1610601v1 assembly for Neoroseomonas rubea MO17	contig	GCA_016106015	2748666.3	3002367496	2748666

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
20215	Roseomonas sp. MO17 gene for 16S ribosomal RNA, partial sequence	LC434023	1439		2748666

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Roseomonas rubea MO17
NCBI: GCA_016106015

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	92.70	no
125439	motility	BacteriaNetⓘ	no	51.70	no
125439	gram_stain	BacteriaNetⓘ	negative	85.10	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	97.90	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Roseomonas rubea MO17
NCBI: GCA_016106015.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	98.31	no
125438	anaerobic	anaerobicⓘ	no	85.05	no
125438	aerobic	aerobicⓘ	yes	74.61	no
125438	spore-forming	spore-formingⓘ	no	83.88	no
125438	thermophilic	thermophileⓘ	no	94.98	no
125438	flagellated	motile2+ⓘ	yes	65.61	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	Validation List no. 221: valid publication of new names and new combinations effectively published outside the IJSEM.	Oren A, Goker M.	Int J Syst Evol Microbiol	10.1099/ijsem.0.006562	2025
Phylogeny	Roseomonas rubea sp. nov., isolated from rice paddy soil.	Lee HJ, Whang KS	Int J Syst Evol Microbiol	10.1099/ijsem.0.005251	2022

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) .
#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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Neoroseomonas rubea (MO17, NBRC 114495, KACC 19933)

Name and taxonomic classification

Culture Collection Numbers

Morphology

Cell morphology

Culture and growth conditions

Physiology and metabolism

Oxygen tolerance

Spore formation

Isolation, sampling and environmental information

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_016106015

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

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