Rossellomorea arthrocnemi (DSM 103900, CECT 9072, EAR8)

Name: Rossellomorea arthrocnemi (DSM 103900, CECT 9072, EAR8)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 167886

Type strain

Strain Designation EAR8, EAR 8

Culture col. no. DSM 103900 CECT 9072 EAR8 EAR 8

NCBI tax ID(s) 2769542

Special Collections DSMZ

History <- I.D. Rodriguez-LIorente, Universidad de Sevilla; EAR8 <- Salvadora Navarro de la Torre

Links

Rossellomorea arthrocnemi EAR8 is a bacterium that was isolated from roots, Arthrocnemum macrostachyum.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 397915

CECT 9072,DSM 103900

@ref 20215

Last LPSN update 2026-02-09 11:40:41

Domain Bacteria

Phylum Bacillota

Class Bacilli

Order Caryophanales

Family Bacillaceae

Genus Rossellomorea

Species Rossellomorea arthrocnemi

Full scientific name Rossellomorea arthrocnemi Navarro-Torre et al. 2021

Morphology

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
68740	CASO AGAR (MERCK 105458) (DSMZ Medium 220)		Medium recipe at MediaDive	Name: CASO AGAR (MERCK 105458) (DSMZ Medium 220) Composition: Agar 15.0 g/l Casein peptone 15.0 g/l NaCl 5.0 g/l Soy peptone 5.0 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
68740	positive	growth	28

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	91.4

Spore formation

@ref	Spore formation	Confidence
125438		92.466
125439		93.2

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
68740	roots, Arthrocnemum macrostachyum	Odiel marshes (Huelva)	Spain	ESP	Europe

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	Genoma_EAR8 assembly for Rossellomorea arthrocnemi EAR8	contig	GCA_904424705	2769542.3	3001812605	2769542	56

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
20215	Rossellomorea arthrocnemi strain EAR8 16S ribosomal RNA gene, partial sequence	MZ416782	1474		2769542

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Rossellomorea arthrocnemi EAR8
NCBI: GCA_904424705

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	yes	93.20	no
125439	motility	BacteriaNetⓘ	yes	88.50	no
125439	gram_stain	BacteriaNetⓘ	variable	87.10	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	91.40	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Rossellomorea arthrocnemi EAR8
NCBI: GCA_904424705.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	80.19	no
125438	anaerobic	anaerobicⓘ	no	90.71	no
125438	aerobic	aerobicⓘ	yes	81.23	no
125438	spore-forming	spore-formingⓘ	yes	92.47	no
125438	thermophilic	thermophileⓘ	no	94.00	yes
125438	flagellated	motile2+ⓘ	yes	83.83	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Rossellomorea arthrocnemi sp. nov., a novel plant growth-promoting bacterium used in heavy metal polluted soils as a phytoremediation tool.	Navarro-Torre S, Carro L, Igual JM, Montero-Calasanz MDC	Int J Syst Evol Microbiol	10.1099/ijsem.0.005015	2021

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) .
#68740	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 103900
#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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Rossellomorea arthrocnemi (DSM 103900, CECT 9072, EAR8)

Name and taxonomic classification

Morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Isolation, sampling and environmental information

Isolation

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_904424705

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

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