Teichococcus vastitatis (CPCC 101021, J1A743, KCTC 62043)

Name: Teichococcus vastitatis (CPCC 101021, J1A743, KCTC 62043)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 167102

Type strain

Strain Designation J1A743

Culture col. no. CPCC 101021 J1A743 KCTC 62043

NCBI tax ID(s) 2307076

Special Collections KCTC

Links

Teichococcus vastitatis J1A743 is a bacterium of the family Acetobacteraceae.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 27921

KCTC 62043

@ref 20215

Last LPSN update 2026-05-29 08:46:03

Domain Bacteria

Phylum Pseudomonadota

Class Alphaproteobacteria

Order Rhodospirillales

Family Acetobacteraceae

Genus Teichococcus

Species Teichococcus vastitatis

Full scientific name Teichococcus vastitatis (Zhao et al. 2020) Liu and Xin 2025

Synonyms (2)

Roseomonas vastitatis
Pseudoroseomonas vastitatis

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	negative	91.757
125438	negative	95.815

Culture and growth conditions

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	aerobe	94.145

Spore formation

@ref	Spore formation	Confidence
125439		98.697

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	Score
66792	ASM360421v1 assembly for Teichococcus vastitatis CPCC 101021	contig	GCA_003604215	2307076.3	2834363174	2307076	26.5

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
20215	Pseudoroseomonas vastitatis strain CPCC 101021 16S ribosomal RNA gene, partial sequence	MK421542	1475		2307076

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM360421v1 assembly for Teichococcus vastitatis CPCC 101021
BV-BRC: 2307076.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	motility	BacteriaNetⓘ	yes	58.44	no
125439	gram_stain	BacteriaNetⓘ	negative	91.76	no
125439	oxygen_tolerance	BacteriaNetⓘ	aerobe	94.15	no
125439	spore_formation	BacteriaNetⓘ	no	98.70	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Roseomonas sp. CPCC 101021
PATRIC: 2307076.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	95.82	no
125438	anaerobic	anaerobicⓘ	no	94.80	no
125438	spore-forming	spore-formingⓘ	no	82.32	no
125438	aerobic	aerobicⓘ	yes	86.76	no
125438	thermophilic	thermophileⓘ	no	91.52	no
125438	flagellated	motile2+ⓘ	yes	73.63	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 coralli sp. nov., a heavy metal resistant bacterium isolated from coral.	Li F, Huang Y, Hu W, Li Z, Wang Q, Huang S, Jiang F, Pan X	Int J Syst Evol Microbiol	10.1099/ijsem.0.004624	2021
Phylogeny	Roseomonas vastitatis sp. nov. isolated from Badain Jaran desert in China.	Zhao LL, Deng Y, Sun Y, Liu HY, Yu LY, Zhang YQ	Int J Syst Evol Microbiol	10.1099/ijsem.0.003898	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) .
#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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Teichococcus vastitatis (CPCC 101021, J1A743, KCTC 62043)

Name and taxonomic classification

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_003604215

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

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