Name: Leeuwenhoekiella aequorea CCUG 50091
Creator: BacDive
License: https://creativecommons.org/licenses/by/4.0/

Strain identifier

BacDive ID: 153533

Type strain:

Species: Leeuwenhoekiella aequorea

Culture col. no.: CCUG 50091, CIP 108760, LMG 22550

NCBI tax ID(s): 283736 (species)

SI-ID 21667

LMG 22550, CCUG 50091, CIP 108760

Special Collections

CCUG
CIP

Section

When using BacDive for research please cite our paper

Leeuwenhoekiella aequorea CCUG 50091 is a bacterium that was isolated from Seawater.

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	*Bacteroidota*
	Class	*Flavobacteriia*
	Order	*Flavobacteriales*
	Family	*Flavobacteriaceae*
	Genus	*Leeuwenhoekiella*
	Species	**Leeuwenhoekiella aequorea**
	Full Scientific Name (LPSN)	Leeuwenhoekiella aequorea Nedashkovskaya et al. 2005

Information on morphological and physiological properties Morphology

[Ref.: #125439]	Gram stain	negative Confidence in %98.6
[Ref.: #125438]	Gram stain	negative Confidence in %96.969

[Ref.: #125438]	Motility	no Confidence in %90.5

Information on physiology and metabolism Physiology and metabolism

[Ref.: #125439]

Oxygen tolerance

obligate aerobe Confidence in %98.4

[Ref.: #125439]	Ability of spore formation	no Confidence in %92.5
[Ref.: #125438]	Ability of spore formation	no Confidence in %91.333

Fatty acid profile

Metadata FA analysis

Reference

[Ref.: #58739]

Fatty acid	Percentage	ECL
C15:0 ISO	23.7	14.621
C17:1 ω9c ISO	20.3	16.416
C17:0 iso 3OH	14.7	18.161
C15:1 ISO G	11.2	14.441
unknown 13.566	5.5	13.566
C16:1 ω7c/C15:0 ISO 2OH	4.5	15.85
C16:1 ω7c	3.6	15.819
C15:0 ANTEISO	3.1	14.711
C15:0 ISO 3OH	2.8	16.135
Unidentified	2	13.659
C17:1 ISO I/C16:0 DMA	1.9	16.481
C15:0	1.3	15
C16:1 ω9c DMA	1.1	16.242
C16:0	1	16
C17:0 iso	0.7	16.629
Unidentified	0.7	19.749
unknown 16.580	0.7	16.58
C16:0 iso	0.5	15.626
C15:1 ANTEISO A	0.4	14.526
C19:0 ISO	0.3	18.633

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

[Ref.: #58739]	Sample type/isolated from	Seawater
[Ref.: #58739]	Country	Antarctica
[Ref.: #58739]	Country ISO 3 Code	ATA
[Ref.: #58739]	Continent	Australia and Oceania
* marker position based on {}

Isolation sources categories

#Environmental

#Aquatic

#Marine

What are isolation sources categories?

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.: #124043]	Leeuwenhoekiella aequorea 16S rRNA gene, type strain LMG 22550T	AJ278780	1475	GenBank ENA	283736 tax ID	*

Genome sequence information:

	Sequence accession description	Seq. accession number	Assembly level	Sequence database	Associated NCBI tax ID
[Ref.: #66792]	Leeuwenhoekiella aequorea LMG 22550	GCA_004104375	contig	GenBank ENA	283736 tax ID	*
[Ref.: #66792]	Leeuwenhoekiella aequorea strain LMG 22550	283736.5	wgs	PATRIC	283736 tax ID	*
[Ref.: #66792]	Leeuwenhoekiella aequorea LMG 22550	2894321899	draft	JGI IMG/M	283736 tax ID	*
[Ref.: #66792]	Leeuwenhoekiella aequorea LMG 22550	2772190911	draft	JGI IMG/M	283736 tax ID	*

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: Leeuwenhoekiella aequorea strain LMG 22550 PATRIC: 283736.5
[Ref.: #125438]	gram-positive	gram-positiveⓘ	no	96.969	no
[Ref.: #125438]	anaerobic	anaerobicⓘ	no	97.947	no
[Ref.: #125438]	spore-forming	spore-formingⓘ	no	91.333	no
[Ref.: #125438]	aerobic	aerobicⓘ	yes	87.94	no
[Ref.: #125438]	thermophile	thermophilicⓘ	no	96.839	no
[Ref.: #125438]	motile2+	flagellatedⓘ	no	90.5	no

	Model	Trait	Prediction	Confidence in %
	Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Leeuwenhoekiella aequorea LMG 22550 NCBI: GCA_004104375
[Ref.: #125439]	BacteriaNet	spore_formationⓘ	no	92.5
[Ref.: #125439]	BacteriaNet	motilityⓘ	no	64.7
[Ref.: #125439]	BacteriaNet	gram_stainⓘ	negative	98.6
[Ref.: #125439]	BacteriaNet	oxygen_toleranceⓘ	obligate aerobe	98.4

Availability in culture collections External links

[Ref.: #58739]

Culture collection no.

CCUG 50091, CIP 108760, LMG 22550

[Ref.: #107322]

SI-ID 21667

Literature:

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Leeuwenhoekiella polynyae sp. nov., isolated from a polynya in western Antarctica.	Si OJ, Kim SJ, Jung MY, Choi SB, Kim JG, Kim SG, Roh SW, Lee S, Rhee SK	Int J Syst Evol Microbiol	10.1099/ijs.0.000160	2015	*
Phylogeny	Reclassification of [Cytophaga] marinoflava Reichenbach 1989 as Leeuwenhoekiella marinoflava gen. nov., comb. nov. and description of Leeuwenhoekiella aequorea sp. nov.	Nedashkovskaya OI, Vancanneyt M, Dawyndt P, Engelbeen K, Vandemeulebroecke K, Cleenwerck I, Hoste B, Mergaert J, Tan TL, Frolova GM, Mikhailov VV, Swings J	Int J Syst Evol Microbiol	10.1099/ijs.0.63410-0	2005	*

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 )

#58739 Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 50091

#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) .

#107322

Reimer, L.C., Lissin, A.,Schober, I., Witte,J.F., Podstawka, A., Lüken, H., Bunk, B.,Overmann, J.: StrainInfo: A central database for resolving microbial strain identifiers . ( DOI 10.60712/SI-ID21667.1 )

#124043

Isabel Schober, Julia Koblitz: Data extracted from sequence databases, automatically matched based on designation and taxonomy .

#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

Change proposal

You found an error in BacDive? Please tell us about it!

Note that changes will be reviewed and judged. If your changes are legitimate, changes will occur within the next BacDive update. Only proposed changes supported by the according reference will be reviewed. The BacDive team reserves the right to reject proposed changes.

Search for species Leeuwenhoekiella aequorea in external resources:
SILVA
BRENDA
PANGAEA
GBIF

Leeuwenhoekiella aequorea strain LMG 22550

Leeuwenhoekiella aequorea LMG 22550

Change proposal

Change proposal