Name: Halobacteriovorax vibrionivorans BL9
Creator: BacDive
License: https://creativecommons.org/licenses/by/4.0/

Strain identifier

BacDive ID: 164426

Type strain:

Species: Halobacteriovorax vibrionivorans

Strain Designation: BL9

Culture col. no.: JCM 32962, MCCC 1K03527

Strain history: M.-X. Chen; Huaqiao Univ., China; BL9.

NCBI tax ID(s): 2152716 (species)

Special Collections

Section

When using BacDive for research please cite our paper

Halobacteriovorax vibrionivorans BL9 is a mesophilic, Gram-negative, motile bacterium that was isolated from Coastal seawater of China.

Gram-negative
motile
vibrio-shaped
mesophilic
16S sequence
Bacteria
genome sequence

Information on the name and the taxonomic classification. Name and taxonomic classification

	Last LPSN update	09-12-2024 (DD-MM-YYYY)
	Domain	*Bacteria*
	Phylum	*Pseudomonadota*
	Class	*Oligoflexia*
	Order	*Bacteriovoracales*
	Family	*Halobacteriovoracaceae*
	Genus	*Halobacteriovorax*
	Species	**Halobacteriovorax vibrionivorans**
	Full Scientific Name (LPSN)	Halobacteriovorax vibrionivorans Ye et al. 2019

Information on morphological and physiological properties Morphology

[Ref.: #68243]	Gram stain	negative
[Ref.: #125439]	Gram stain	negative Confidence in %99.2
[Ref.: #125438]	Gram stain	negative Confidence in %98.45

[Ref.: #68243]	Cell length	0.5-1 µm

[Ref.: #68243]	Cell width	0.3 µm

[Ref.: #68243]	Cell shape	vibrio-shaped

[Ref.: #68243]	Motility	yes

[Ref.: #68243]	Flagellum arrangement	polar

Information on culture and growth conditions Culture and growth conditions

		Temperature
[Ref.: #67770]	growth	30 °C
[Ref.: #68243]	growth	15-45 °C
[Ref.: #68243]	optimum	37 °C

	pH	Kind of pH		pH
[Ref.: #68243]			growth	7-8
[Ref.: #68243]		no	growth	9

Information on physiology and metabolism Physiology and metabolism

[Ref.: #125439]	Ability of spore formation	no Confidence in %98
[Ref.: #125438]	Ability of spore formation	no Confidence in %92.238

	Halophily	Salt	Tested relation		Salt conc.
[Ref.: #68243]		NaCl		growth	1-4	%(w/v)
[Ref.: #68243]		NaCl		optimum	2-4	%(w/v)

[Ref.: #68243]	Observation	Cells exhibit a biphasic life cycle
[Ref.: #68243]	Observation	Bdelloplasts are formed
[Ref.: #68243]	Observation	Plaques are formed on lawns of prey cells
[Ref.: #68243]	Observation	Cell division is observed within the prey cell by forming a filament, then sequentially septating into progeny cells

Information on isolation source, the sampling and environmental conditions Isolation, sampling and environmental information

[Ref.: #67770]	Sample type/isolated from	Coastal seawater of China

[Ref.: #68243]	Sample type/isolated from	coastal seawater
[Ref.: #68243]	Sampling date	2017-07-01
[Ref.: #68243]	Country	China
[Ref.: #68243]	Country ISO 3 Code	CHN
[Ref.: #68243]	Continent	Asia
[Ref.: #68243]	Geographic location	22.3668°/114.3470°
[Ref.: #68243]	Enrichment culture composition	marine broth 2216E
[Ref.: #68243]	Enrichment culture duration	1 day
[Ref.: #68243]	Enrichment culture temperature	30 ̊C
[Ref.: #68243]	Isolation/enrichment procedure	prey bacteria were cultured in marine broth 2216E
* marker position based on {}

[Ref.: #69479]

Global distribution of 16S sequence MH150810 (>99% sequence identity) for Halobacteriovoraceae from Microbeatlas

Aquatic Samples	695
Soil Samples	23
Animal Samples	69
Plant Samples	10
Total Samples	797

Information on genomic background e.g. entries in nucleic sequence databass Sequence information

16S Sequence information:

	Sequence accession description	Seq. accession number	Sequence length (bp)	Sequence database	Associated NCBI tax ID
[Ref.: #67770]	Halobacteriovorax vibrionivorans strain BL9 16S ribosomal RNA gene, partial sequence	MH150810	1541	GenBank ENA	2020862 tax ID
[Ref.: #68243]	Halobacteriovorax vibrionivorans strain BL9, whole genome shotgun sequencing project	QDKL00000000	9	GenBank ENA	2152716 tax ID

Genome sequence information:

	Sequence accession description	Seq. accession number	Assembly level	Sequence database	Associated NCBI tax ID
[Ref.: #67770]	Halobacteriovorax vibrionivorans BL9	GCA_003346865	contig	GenBank ENA	2152716 tax ID

[Ref.: #68243]

GC-content

35.8 mol%

genome sequence analysis

Data predicted using genome information as a basis Genome-based predictions

	Model	Trait	Prediction	Confidence in %	In training data
	Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Halobacteriovorax vibrionivorans BL9 NCBI: GCA_003346865.1
[Ref.: #125438]	gram-positive	gram-positiveⓘ	no	98.45	yes
[Ref.: #125438]	anaerobic	anaerobicⓘ	no	87.067	no
[Ref.: #125438]	aerobic	aerobicⓘ	yes	70.904	no
[Ref.: #125438]	spore-forming	spore-formingⓘ	no	92.238	no
[Ref.: #125438]	thermophile	thermophilicⓘ	no	94.565	yes
[Ref.: #125438]	motile2+	flagellatedⓘ	yes	64.817	yes

	Model	Trait	Prediction	Confidence in %
	Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Halobacteriovorax vibrionivorans BL9 NCBI: GCA_003346865
[Ref.: #125439]	BacteriaNet	spore_formationⓘ	no	98
[Ref.: #125439]	BacteriaNet	motilityⓘ	no	56.5
[Ref.: #125439]	BacteriaNet	gram_stainⓘ	negative	99.2
[Ref.: #125439]	BacteriaNet	oxygen_toleranceⓘ	obligate aerobe	85.3

Availability in culture collections External links

[Ref.: #67770]

Culture collection no.

JCM 32962, MCCC 1K03527

Literature:

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Halobacteriovorax vibrionivorans sp. nov., a novel prokaryotic predator isolated from coastal seawater of China.	Ye XS, Chen MX, Li HY, He XY, Zhao Y	Int J Syst Evol Microbiol	10.1099/ijsem.0.003703	2019	*

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;

#68243

Xiao-Sheng Ye, Ming-Xia Chen, He-Yang Li, Xiao-Yu He and Yan Zhao: Halobacteriovorax vibrionivorans sp. nov., a novel prokaryotic predator isolated from coastal seawater of China. IJSEM 69: 3917 - 3923 2019 ( DOI 10.1099/ijsem.0.003703 )

#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 .

* These data were automatically processed and therefore are not curated

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