Meiothermus rufus (DSM 22234, LMG 24878, CAL-4)

Name: Meiothermus rufus (DSM 22234, LMG 24878, CAL-4)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 16708

Type strain

Strain Designation CAL-4

Culture col. no. DSM 22234 LMG 24878 CAL-4

NCBI tax ID(s) 604331 604332

Special Collections DSMZ

History DSMZ <- M. da Costa, Univ. Coimbra, Portugal <- L. Albuquerque; CAL-4

Links

Meiothermus rufus CAL-4 is a bacterium that was isolated from water from a hot spring.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 360702

LMG 24878,DSM 22234,NBRC 107809

@ref 20215

Last LPSN update 2026-05-29 08:28:50

Domain Bacteria

Phylum Deinococcota

Class Deinococci

Order Thermales

Family Thermaceae

Genus Meiothermus

Species Meiothermus rufus

Full scientific name Meiothermus rufus Albuquerque et al. 2010

BacDive ID	Other strains from **Meiothermus rufus** (1)	Type strain
16709	M. rufus CAL-12, DSM 22235, LMG 24879

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	negative	91.958

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
16217	MODIFIED THERMUS 162 MEDIUM (DSMZ Medium 630)		Medium recipe at MediaDive	Name: MODIFIED THERMUS 162 MEDIUM (DSMZ Medium 630) Composition: Agar 28.0 g/l Na2HPO4 x 12 H2O 4.3 g/l Yeast extract 2.5 g/l Tryptone 2.5 g/l KH2PO4 0.544 g/l MgCl2 x 6 H2O 0.2 g/l CaSO4 x 2 H2O 0.04 g/l Nitrilotriacetic acid 0.0064 g/l Fe(III) citrate 0.00122472 g/l FeCl2 x 4 H2O 0.0005 g/l MnCl2 x 4 H2O 0.00025 g/l CoCl2 x 4 H2O 0.00015 g/l CuCl2 x 2 H2O 2.5e-05 g/l Na2MoO4 x 2 H2O 2.5e-05 g/l H3BO3 1e-05 g/l NiCl2 x 6 H2O 1e-05 g/l Distilled water
16217	THERMUS 162 MEDIUM (DSMZ Medium 878)		Medium recipe at MediaDive	Name: THERMUS 162 MEDIUM (DSMZ Medium 878) Composition: Agar 28.0 g/l Na2HPO4 x 12 H2O 4.3 g/l Yeast extract 1.0 g/l Tryptone 1.0 g/l KH2PO4 0.544 g/l MgCl2 x 6 H2O 0.2 g/l Nitrilotriacetic acid 0.1 g/l CaSO4 x 2 H2O 0.04 g/l Fe(III) citrate 0.00122472 g/l MnSO4 x H2O 0.00114 g/l ZnSO4 x 7 H2O 0.00025 g/l H3BO3 0.00025 g/l CoCl2 x 6 H2O 2.25e-05 g/l CuSO4 x 5 H2O 1.25e-05 g/l Na2MoO4 x 2 H2O 1.25e-05 g/l H2SO4 Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
16217	positive	growth	55

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	facultative anaerobe	95.025

Spore formation

@ref	Spore formation	Confidence
125439		98.11

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Aquatic	#Thermal spring
#Condition	#Thermophilic (>45°C)	-

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
16217	water from a hot spring	Auvergne, Chaudes-Aigues hydrothermal area, Lavoire fountain	France	FRA	Europe

Taxonmaps

69479

Global distribution of 16S sequence FN178496 (>99% sequence identity) for Meiothermus rufus subclade from Microbeatlas

Aquatic Samples	92
Soil Samples	7
Animal Samples	5
Plant Samples	1
Total Samples	105

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
16217	1	Risk group (German classification) According to TRBA 466

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM42342v1 assembly for Meiothermus rufus DSM 22234	scaffold	GCA_000423425	604331.3	2522572180	604331	52.94

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
16217	Meiothermus rufus DSM 22234 partial 16S rRNA gene, strain CAL-4	FN178496	1487		604331

GC content

@ref	GC-content (mol%)	Method
16217	64.1±0.4	high performance liquid chromatography (HPLC)

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM42342v1 assembly for Meiothermus rufus DSM 22234
NCBI: GCA_000423425

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	facultative anaerobe	95.03	no
125439	motility	BacteriaNetⓘ	yes	58.45	no
125439	gram_stain	BacteriaNetⓘ	negative	91.96	no
125439	spore_formation	BacteriaNetⓘ	no	98.11	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Meiothermus rufus DSM 22234 DSM 22234
NCBI: GCA_000423425.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	75.37	no
125438	anaerobic	anaerobicⓘ	no	92.25	no
125438	aerobic	aerobicⓘ	yes	81.24	no
125438	spore-forming	spore-formingⓘ	no	77.67	no
125438	thermophilic	thermophileⓘ	yes	67.49	yes
125438	flagellated	motile2+ⓘ	no	79.21	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Enzymology	Thermophilic bacteria are potential sources of novel Rieske non-heme iron oxygenases.	Chakraborty J, Suzuki-Minakuchi C, Okada K, Nojiri H.	AMB Express	10.1186/s13568-016-0318-5	2017
Phylogeny	Meiothermus rufus sp. nov., a new slightly thermophilic red-pigmented species and emended description of the genus Meiothermus.	Albuquerque L, Ferreira C, Tomaz D, Tiago I, Verissimo A, da Costa MS, Nobre MF	Syst Appl Microbiol	10.1016/j.syapm.2009.05.002	2009

References

#16217	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 22234
#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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Meiothermus rufus (DSM 22234, LMG 24878, CAL-4)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_000423425

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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