Youngimonas vesicularis (BCRC 80549, JCM 18819)

Name: Youngimonas vesicularis (BCRC 80549, JCM 18819)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 162304

Type strain

Culture col. no. BCRC 80549 JCM 18819

NCBI tax ID(s) 1294297

Special Collections JCM

History JCM <-- C.-C. Young CC-AMW-E.

Links

Youngimonas vesicularis JCM 18819 is a bacterium that was isolated from Surface seawater off the coast at Kending.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 27871

BCRC 80549,JCM 18819

@ref 20215

Last LPSN update 2026-05-29 08:44:53

Domain Bacteria

Phylum Pseudomonadota

Class Alphaproteobacteria

Order Rhodobacterales

Family Roseobacteraceae

Genus Youngimonas

Species Youngimonas vesicularis

Full scientific name Youngimonas vesicularis Hameed et al. 2014

Synonyms (1)

Thalassobius vesicularis

Morphology

Cell morphology

@ref	Gram stain	Confidence
125438	negative	98.333

Culture and growth conditions

Culture temp

@ref	Growth	Type	Temperature (°C)
67770	positive	growth	30

Physiology and metabolism

Spore formation

@ref	Spore formation	Confidence
125438		90.328
125439		91.229

Observation

67770

Observationquinones: Q-10

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Country	Country ISO 3 Code	Continent
67770	Surface seawater off the coast at Kending	Taiwan, Province of China	TWN	Asia

Taxonmaps

69479

Global distribution of 16S sequence KC169815 (>99% sequence identity) for Youngimonas vesicularis subclade from Microbeatlas

Aquatic Samples	302
Soil Samples	59
Animal Samples	7
Plant Samples	1
Total Samples	369

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
67770	ASM479932v1 assembly for Thalassobius vesicularis CC-AMW-E	contig	GCA_004799325	1294297.3	2837658290	1294297	69.93

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
67770	Thalassobius vesicularis strain CC-AMW-E 16S ribosomal RNA gene, partial sequence	KC169815	1423		1294297

GC content

@ref	GC-content (mol%)	Method
67770	67.9	thermal denaturation, midpoint method (Tm)

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM479932v1 assembly for Thalassobius vesicularis CC-AMW-E
NCBI: GCA_004799325

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	87.97	no
125439	gram_stain	BacteriaNetⓘ	negative	63.59	no
125439	motility	BacteriaNetⓘ	no	63.57	no
125439	spore_formation	BacteriaNetⓘ	no	91.23	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Youngimonas vesicularis CC-AMW-E
NCBI: GCA_004799325.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	98.33	no
125438	anaerobic	anaerobicⓘ	no	92.57	no
125438	aerobic	aerobicⓘ	yes	74.62	no
125438	spore-forming	spore-formingⓘ	no	90.33	no
125438	thermophilic	thermophileⓘ	no	95.62	no
125438	flagellated	motile2+ⓘ	no	56.48	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Youngimonas vesicularis gen. nov., sp. nov., of the family Rhodobacteraceae, isolated from surface seawater, reclassification of Donghicola xiamenensis Tan et al. 2009 as Pseudodonghicola xiamenensis gen. nov., comb. nov. and emended description of the genus Donghicola Yoon et al. 2007.	Hameed A, Shahina M, Lin SY, Nakayan P, Liu YC, Lai WA, Hsu YH	Int J Syst Evol Microbiol	10.1099/ijs.0.060962-0	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;
#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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Youngimonas vesicularis (BCRC 80549, JCM 18819)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture temp

Physiology and metabolism

Spore formation

Observation

Isolation, sampling and environmental information

Isolation

Taxonmaps

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_004799325

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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