Name: Marinomonas rhizomae IVIA-Po-145
Creator: BacDive
License: https://creativecommons.org/licenses/by/4.0/

Strain identifier

BacDive ID: 168741

Type strain:

Species: Marinomonas rhizomae

Strain Designation: IVIA-Po-145

Culture col. no.: CECT 7377, NCIMB 14431

NCBI tax ID(s): 491948 (species)

SI-ID 376931

CECT 7377, NCIMB 14431

Section

When using BacDive for research please cite our paper

Marinomonas rhizomae IVIA-Po-145 is a Gram-negative bacterium of the family Oceanospirillaceae.

Gram-negative
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	*Gammaproteobacteria*
	Order	*Oceanospirillales*
	Family	*Oceanospirillaceae*
	Genus	*Marinomonas*
	Species	**Marinomonas rhizomae**
	Full Scientific Name (LPSN)	Marinomonas rhizomae Lucas-Elío et al. 2011

Information on morphological and physiological properties Morphology

[Ref.: #125438]	Gram stain	negative Confidence in %98.9
[Ref.: #125439]	Gram stain	negative Confidence in %99.6

Information on physiology and metabolism Physiology and metabolism

[Ref.: #125439]	Ability of spore formation	no Confidence in %99.9
[Ref.: #125438]	Ability of spore formation	no Confidence in %91.683

Information on possible application of the strain and its possible interaction with e.g. potential hosts Safety information

[Ref.: #20215]

Biosafety level

Risk group

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.: #20215]	Marinomonas rhizomae strain IVIA-Po-145 16S ribosomal RNA gene, partial sequence	EU188443	1426	GenBank ENA	491948 tax ID

Genome sequence information:

	Sequence accession description	Seq. accession number	Assembly level	Sequence database	Associated NCBI tax ID
[Ref.: #66792]	Marinomonas rhizomae CECT 7377	GCA_003315485	scaffold	GenBank ENA	491948 tax ID	*
[Ref.: #66792]	Marinomonas rhizomae IVIA-Po-145	GCA_003721275	contig	GenBank ENA	491948 tax ID	*
[Ref.: #66792]	Marinomonas rhizomae strain CECT 7377	491948.3	wgs	PATRIC	491948 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: Marinomonas rhizomae CECT 7377 NCBI: GCA_003315485.1
[Ref.: #125438]	gram-positive	gram-positiveⓘ	no	98.9	no
[Ref.: #125438]	anaerobic	anaerobicⓘ	no	96.447	no
[Ref.: #125438]	aerobic	aerobicⓘ	yes	76.269	no
[Ref.: #125438]	spore-forming	spore-formingⓘ	no	91.683	no
[Ref.: #125438]	thermophile	thermophilicⓘ	no	96.362	no
[Ref.: #125438]	motile2+	flagellatedⓘ	yes	82.694	no

	Model	Trait	Prediction	Confidence in %
	Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Marinomonas rhizomae CECT 7377 NCBI: GCA_003315485
[Ref.: #125439]	BacteriaNet	spore_formationⓘ	no	99.9
[Ref.: #125439]	BacteriaNet	motilityⓘ	yes	70.3
[Ref.: #125439]	BacteriaNet	gram_stainⓘ	negative	99.6
[Ref.: #125439]	BacteriaNet	oxygen_toleranceⓘ	obligate aerobe	86.1

Availability in culture collections External links

[Ref.: #20215]

Culture collection no.

CECT 7377, NCIMB 14431

[Ref.: #115253]

SI-ID 376931

Literature:

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Marinomonas lutimaris sp. nov., isolated from a tidal flat sediment of the East China Sea.	Gao Y, Wei Y, Wang P	Int J Syst Evol Microbiol	10.1099/ijsem.0.005368	2022	*
Phylogeny	Marinomonas mangrovi sp. nov., isolated from mangrove sediment.	Zhang DC, Margesin R	Int J Syst Evol Microbiol	10.1099/ijs.0.000136	2015	*
Phylogeny	Marinomonas alcarazii sp. nov., M. rhizomae sp. nov., M. foliarum sp. nov., M. posidonica sp. nov. and M. aquiplantarum sp. nov., isolated from the microbiota of the seagrass Posidonia oceanica.	Lucas-Elio P, Marco-Noales E, Espinosa E, Ordax M, Lopez MM, Garcias-Bonet N, Marba N, Duarte CM, Sanchez-Amat A	Int J Syst Evol Microbiol	10.1099/ijs.0.027227-0	2010	*

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) .

#115253

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-ID376931.1 )

#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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Marinomonas rhizomae CECT 7377

Marinomonas rhizomae CECT 7377

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