Name: Rhodoluna limnophila CM 32925
Creator: BacDive
License: https://creativecommons.org/licenses/by/4.0/

Strain identifier

BacDive ID: 159678

Type strain:

Species: Rhodoluna limnophila

Strain Designation: CM 32925, 1B-Mac

Culture col. no.: DSM 107802, JCM 32925

Strain history: M. W. Hahn; Res. Dept. for Limnol., Univ. of Innsbruck, Austria; 1B-Mac.

NCBI tax ID(s): 232537 (species)

SI-ID 405505

DSM 107802

Special Collections

DSMZ
JCM

Other strains from Rhodoluna limnophila

Section

When using BacDive for research please cite our paper

Rhodoluna limnophila CM 32925 is a psychrophilic bacterium that was isolated from freshwater creek.

psychrophilic
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	*Actinomycetota*
	Class	*Actinomycetes*
	Order	*Micrococcales*
	Family	*Microbacteriaceae*
	Genus	*Rhodoluna*
	Species	**Rhodoluna limnophila**
	Full Scientific Name (LPSN)	Rhodoluna limnophila Pitt et al. 2019

Synonym

"Candidatus Rhodoluna limnophila"

Information on morphological and physiological properties Morphology

[Ref.: #125439]	Gram stain	negative Confidence in %99.4

[Ref.: #125438]	Motility	no Confidence in %94

Information on culture and growth conditions Culture and growth conditions

[Ref.: #66529]

Culture medium

R2A MEDIUM (DSMZ Medium 830)

[Ref.: #66529]

Culture medium growth

[Ref.: #66529]

Culture medium link

Medium recipe at MediaDive

[Ref.: #66529]

Culture medium composition

expand / minimize

	Temperatures	Kind of temperature		Temperature
[Ref.: #66529]			growth	22 °C
[Ref.: #67770]			growth	25 °C

Information on physiology and metabolism Physiology and metabolism

[Ref.: #125439]

Oxygen tolerance

obligate aerobe Confidence in %99.7

[Ref.: #125439]	Ability of spore formation	no Confidence in %97.3
[Ref.: #125438]	Ability of spore formation	no Confidence in %90.057

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

[Ref.: #66529]	Sample type/isolated from	freshwater creek
[Ref.: #66529]	Geographic location (country and/or sea, region)	Moosbach, Wals-Siezenheim, Salzburg
[Ref.: #66529]	Country	Austria
[Ref.: #66529]	Country ISO 3 Code	AUT
[Ref.: #66529]	Continent	Europe

[Ref.: #67770]	Sample type/isolated from	Water from Moosbach, a small freshwater creek running through Wals-Siezenheim
[Ref.: #67770]	Country	Austria
[Ref.: #67770]	Country ISO 3 Code	AUT
[Ref.: #67770]	Continent	Europe
* marker position based on {}

Isolation sources categories

#Environmental	#Aquatic	#Freshwater
#Environmental	#Aquatic	#River (Creek)

What are isolation sources categories?

[Ref.: #69479]

Global distribution of 16S sequence MK951677 (>99% sequence identity) for Rhodoluna limnophila subclade from Microbeatlas

Aquatic Samples	2284
Soil Samples	110
Animal Samples	677
Plant Samples	16
Total Samples	3087

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.: #66529]	Rhodoluna limnophila strain 1B-Mac 16S ribosomal RNA gene, partial sequence	MK951677	1377	GenBank ENA	232537 tax ID

Genome sequence information:

	Sequence accession description	Seq. accession number	Assembly level	Sequence database	Associated NCBI tax ID
[Ref.: #66792]	Rhodoluna limnophila 1B-Mac	GCA_005845345	complete	GenBank ENA	232537 tax ID	*

[Ref.: #67770]

GC-content

53.8 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: Rhodoluna limnophila 1B-Mac NCBI: GCA_005845345.1
[Ref.: #125438]	gram-positive	gram-positiveⓘ	yes	84.826	no
[Ref.: #125438]	anaerobic	anaerobicⓘ	no	90.232	no
[Ref.: #125438]	aerobic	aerobicⓘ	yes	67.584	no
[Ref.: #125438]	spore-forming	spore-formingⓘ	no	90.057	no
[Ref.: #125438]	thermophile	thermophilicⓘ	no	88.465	no
[Ref.: #125438]	motile2+	flagellatedⓘ	no	94	no

	Model	Trait	Prediction	Confidence in %
	Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Rhodoluna limnophila 1B-Mac NCBI: GCA_005845345
[Ref.: #125439]	BacteriaNet	spore_formationⓘ	no	97.3
[Ref.: #125439]	BacteriaNet	motilityⓘ	yes	64.9
[Ref.: #125439]	BacteriaNet	gram_stainⓘ	negative	99.4
[Ref.: #125439]	BacteriaNet	oxygen_toleranceⓘ	obligate aerobe	99.7

Availability in culture collections External links

[Ref.: #66529]

Culture collection no.

DSM 107802, JCM 32925

[Ref.: #112149]

SI-ID 405505

Literature:

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Rhodoluna limnophila sp. nov., a bacterium with 1.4 Mbp genome size isolated from freshwater habitats located in Salzburg, Austria.	Pitt A, Schmidt J, Koll U, Hahn MW	Int J Syst Evol Microbiol	10.1099/ijsem.0.003720	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 )

#66529

Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 107802

#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) .

#67770 Japan Collection of Microorganism (JCM) ; Curators of the JCM;

#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 .

#112149

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-ID405505.1 )

#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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Rhodoluna limnophila 1B-Mac

Rhodoluna limnophila 1B-Mac

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