Ruegeria meonggei (CECT 8411, MA-E2-3, KCTC 32450)

Name: Ruegeria meonggei (CECT 8411, MA-E2-3, KCTC 32450)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 169133

Type strain

Strain Designation MA-E2-3

Culture col. no. CECT 8411 MA-E2-3 KCTC 32450

NCBI tax ID(s) 1446476

Special Collections KCTC

Links

Ruegeria meonggei MA-E2-3 is a bacterium of the family Roseobacteraceae.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 25681

KCTC 32450,CECT 8411

@ref 20215

Last LPSN update 2026-05-29 08:46:32

Domain Bacteria

Phylum Pseudomonadota

Class Alphaproteobacteria

Order Rhodobacterales

Family Roseobacteraceae

Genus Ruegeria

Species Ruegeria meonggei

Full scientific name Ruegeria meonggei Kim et al. 2014

Morphology

Cell morphology

@ref	Gram stain	Confidence
125438	negative	98.333
125439	negative	90.832

Culture and growth conditions

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	97.021

Spore formation

@ref	Spore formation	Confidence
125438		91.332
125439		98.651

Isolation, sampling and environmental information

Taxonmaps

69479

Global distribution of 16S sequence KF740534 (>99% sequence identity) for Ruegeria from Microbeatlas

Aquatic Samples	3119
Soil Samples	37
Animal Samples	116
Plant Samples	2
Total Samples	3274

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
20215	1	Risk group

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	R.meonggei_CECT8411_Spades_Prokka assembly for Ruegeria meonggei CECT 8411	contig	GCA_900172215	1446476.4	2791355036	1446476	70.8

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
20215	Ruegeria meonggei strain MA-E2-3 16S ribosomal RNA gene, partial sequence	KF740534	1386		1446476

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: R.meonggei_CECT8411_Spades_Prokka assembly for Ruegeria meonggei CECT 8411
BV-BRC: 1446476.4

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	98.65	no
125439	motility	BacteriaNetⓘ	yes	52.82	no
125439	gram_stain	BacteriaNetⓘ	negative	90.83	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	97.02	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Ruegeria meonggei strain CECT 8411
PATRIC: 1446476.4

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	98.33	no
125438	anaerobic	anaerobicⓘ	no	94.85	no
125438	spore-forming	spore-formingⓘ	no	91.33	no
125438	aerobic	aerobicⓘ	yes	85.75	no
125438	thermophilic	thermophileⓘ	no	94.73	no
125438	flagellated	motile2+ⓘ	no	65.55	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Ruegeria haliotis sp. nov., Isolated from the Gut of the Abalone Haliotis rubra.	Cao WR, Shang DD, Liu BT, Hu YH, Sun XK, Sun YY, Jiang MY, Du ZJ	Curr Microbiol	10.1007/s00284-021-02450-8	2021
Phylogeny	Ruegeria meonggei sp. nov., an alphaproteobacterium isolated from ascidian Halocynthia roretzi.	Kim YO, Park S, Nam BH, Jung YT, Kim DG, Yoon JH	Antonie Van Leeuwenhoek	10.1007/s10482-013-0107-y	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 )
#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) .
#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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Ruegeria meonggei (CECT 8411, MA-E2-3, KCTC 32450)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Physiology and metabolism

Oxygen tolerance

Spore formation

Isolation, sampling and environmental information

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_900172215

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

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