Bacterioplanes sanyensis (GYP-2, KCTC 32220, CGMCC 1.12392)

Name: Bacterioplanes sanyensis (GYP-2, KCTC 32220, CGMCC 1.12392)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 167146

Type strain

Strain Designation GYP-2

Culture col. no. GYP-2 KCTC 32220 CGMCC 1.12392

NCBI tax ID(s) 1249553

Special Collections KCTC

Links

Bacterioplanes sanyensis GYP-2 is a bacterium of the family Oceanospirillaceae.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 286749

KCTC 32220

@ref 20215

Last LPSN update 2026-02-09 11:40:30

Domain Bacteria

Phylum Pseudomonadota

Class Gammaproteobacteria

Order Oceanospirillales

Family Oceanospirillaceae

Genus Bacterioplanes

Species Bacterioplanes sanyensis

Full scientific name Bacterioplanes sanyensis Wang et al. 2016

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	negative	99.3
125438	negative	97.5

Culture and growth conditions

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	99

Spore formation

@ref	Spore formation	Confidence
125438		94.782
125439		99.5

Isolation, sampling and environmental information

Taxonmaps

69479

Global distribution of 16S sequence JX981922 (>99% sequence identity) for Bacterioplanes sanyensis subclade from Microbeatlas

Aquatic Samples	1314
Soil Samples	45
Animal Samples	101
Plant Samples	4
Total Samples	1464

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	ASM1465251v1 assembly for Bacterioplanes sanyensis KCTC 32220	scaffold	GCA_014652515	1249553.5	3000605482	1249553	69.86

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
20215	Bacterioplanes sanyensis strain GYP-2 16S ribosomal RNA gene, partial sequence	JX981922	1412		1249553

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Bacterioplanes sanyensis KCTC 32220
NCBI: GCA_014652515

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	99.50	no
125439	motility	BacteriaNetⓘ	yes	89.30	no
125439	gram_stain	BacteriaNetⓘ	negative	99.30	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	99.00	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Bacterioplanes sanyensis KCTC 32220
NCBI: GCA_014652515.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	97.50	no
125438	anaerobic	anaerobicⓘ	no	94.48	no
125438	aerobic	aerobicⓘ	yes	78.94	no
125438	spore-forming	spore-formingⓘ	no	94.78	no
125438	thermophilic	thermophileⓘ	no	97.47	no
125438	flagellated	motile2+ⓘ	yes	82.68	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Bacterioplanes sanyensis gen. nov., sp. nov., a PHB-accumulating bacterium isolated from a pool of Spirulina platensis cultivation.	Wang G, Jia Q, Li T, Dai S, Wu H, He H, Fan J, Xiang W, Li X	Arch Microbiol	10.1007/s00203-014-1009-8	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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Bacterioplanes sanyensis (GYP-2, KCTC 32220, CGMCC 1.12392)

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_014652515

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

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