Nibricoccus aquaticus (HZ-65, KACC 19333, NBRC 112907)

Name: Nibricoccus aquaticus (HZ-65, KACC 19333, NBRC 112907)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 168812

Type strain

Strain Designation HZ-65

Culture col. no. HZ-65 KACC 19333 NBRC 112907

NCBI tax ID(s) 2576891

Links

Nibricoccus aquaticus HZ-65 is a bacterium of the family Opitutaceae.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 131952

NBRC 112907

@ref 20215

Last LPSN update 2026-05-29 08:46:27

Domain Bacteria

Phylum Verrucomicrobiota

Class Opitutia

Order Opitutales

Family Opitutaceae

Genus Nibricoccus

Species Nibricoccus aquaticus

Full scientific name Nibricoccus aquaticus Baek et al. 2019

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	negative	99.914
125438	negative	93.076

Culture and growth conditions

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	99.996

Isolation, sampling and environmental information

Taxonmaps

69479

Global distribution of 16S sequence MF944111 (>99% sequence identity) for Opitutaceae from Microbeatlas

Aquatic Samples	683
Soil Samples	1774
Animal Samples	115
Plant Samples	699
Total Samples	3271

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM231049v1 assembly for Nibricoccus aquaticus HZ-65	complete	GCA_002310495	2026799.3	2775506790	2576891	91.56

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
20215	Nibricoccus aquaticus strain HZ-65 16S ribosomal RNA gene, partial sequence	MF944111	1473		2576891

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM231049v1 assembly for Nibricoccus aquaticus HZ-65
NCBI: GCA_002310495

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	yes	47.27	no
125439	motility	BacteriaNetⓘ	no	69.71	no
125439	gram_stain	BacteriaNetⓘ	negative	99.91	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	100.00	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Nibricoccus aquaticus HZ-65
NCBI: GCA_002310495.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	93.08	no
125438	anaerobic	anaerobicⓘ	no	81.95	no
125438	aerobic	aerobicⓘ	yes	68.41	no
125438	spore-forming	spore-formingⓘ	no	81.48	no
125438	thermophilic	thermophileⓘ	no	88.37	no
125438	flagellated	motile2+ⓘ	yes	50.26	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Nibricoccus aquaticus gen. nov., sp. nov., a new genus of the family Opitutaceae isolated from hyporheic freshwater.	Baek K, Song J, Cho JC, Chung EJ, Choi A	Int J Syst Evol Microbiol	10.1099/ijsem.0.003198	2018

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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Nibricoccus aquaticus (HZ-65, KACC 19333, NBRC 112907)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Physiology and metabolism

Oxygen tolerance

Isolation, sampling and environmental information

Taxonmaps

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_002310495

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

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