Myroides phaeus (DSM 23313, LMG 25566, MY15)

Name: Myroides phaeus (DSM 23313, LMG 25566, MY15)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 5624

Type strain

Strain Designation MY15

Culture col. no. DSM 23313 LMG 25566 MY15 JCM 17139

NCBI tax ID(s) 702745

Special Collections DSMZ JCM Literature strains

Links

Myroides phaeus MY15 is an aerobe, mesophilic, Gram-negative prokaryote that was isolated from oral cavity of healthy people.

Gram-negative rod-shaped aerobe mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 406730

LMG 25566,DSM 23313

@ref 20215

Last LPSN update 2025-12-16 09:48:06

Domain Pseudomonadati

Phylum Bacteroidota

Class Flavobacteriia

Order Flavobacteriales

Family Flavobacteriaceae

Genus Myroides

Species Myroides phaeus

Full scientific name Myroides phaeus Yan et al. 2012

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape
30087	negative	0.7-1.2 µm	0.4-0.5 µm	rod-shaped
125438
125438	negative
125439	negative

Pigmentation

30087

Productionyes

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
16784	TRYPTONE SOYA BROTH (TSB) (DSMZ Medium 545)		Medium recipe at MediaDive	Name: TRYPTONE SOYA BROTH (TSB) (DSMZ Medium 545) Composition: Casein peptone 17.0 g/l NaCl 5.0 g/l Soy peptone 3.0 g/l D(+)-Glucose 2.5 g/l K2HPO4 2.5 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
16784	positive	growth	28	mesophilic
30087	positive	growth	06-37
30087	positive	optimum	28	mesophilic
67770	positive	growth	28	mesophilic

Culture pH

@ref	Ability	Type	PH
30087	positive	optimum	8
30087	positive	growth	05-10

Physiology and metabolism

Oxygen tolerance

30087

Oxygen toleranceaerobe

Spore formation

@ref	Spore formation
30087
125438
125439

Halophily

@ref	Salt	Growth	Tested relation	Concentration
30087	NaCl	positive	growth	<6 %
30087	NaCl	positive	optimum	1 %

Observation

67770

Observationquinones: MK-6

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
30087	17632 ChEBI	nitrate	+	reduction
30087	30911 ChEBI	sorbitol	+	carbon source
30087	17992 ChEBI	sucrose	+	carbon source

Enzymes

@ref	Value	Activity	Ec
30087	acid phosphatase	+	3.1.3.2
30087	alkaline phosphatase	+	3.1.3.1
30087	gelatinase	+
30087	urease	+	3.5.1.5

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2
#Host	#Human
#Host Body-Site	#Oral cavity and airways

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
16784	oral cavity of healthy people	Qingdao	China	CHN	Asia
67770	Human saliva		China	CHN	Asia

Taxonmaps

69479

Global distribution of 16S sequence GU253339 (>99% sequence identity) for Myroides phaeus subclade from Microbeatlas

Aquatic Samples	311
Soil Samples	659
Animal Samples	2353
Plant Samples	117
Total Samples	3440

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
16784	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
67770	IMG-taxon 2675903217 annotated assembly for Myroides phaeus DSM 23313	scaffold	GCA_900099675	702745.3	2675903217	702745	65.41

Genome browser: GCA_900099675

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
16784	Myroides phaeus strain MY15 16S ribosomal RNA gene, partial sequence	GU253339	1481		702745

GC content

@ref	GC-content (mol%)	Method
16784	34.3	high performance liquid chromatography (HPLC)
30087	34.3
67770	34.2	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: Myroides phaeus DSM 23313
NCBI: GCA_900099675

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	96.00	no
125439	motility	BacteriaNetⓘ	no	72.70	no
125439	gram_stain	BacteriaNetⓘ	negative	98.70	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	71.60	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Myroides phaeus strain DSM 23313
PATRIC: 702745.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	96.91	yes
125438	anaerobic	anaerobicⓘ	no	97.30	yes
125438	spore-forming	spore-formingⓘ	no	91.27	yes
125438	aerobic	aerobicⓘ	yes	83.64	no
125438	thermophilic	thermophileⓘ	no	95.20	yes
125438	flagellated	motile2+ⓘ	no	90.00	yes

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Myroides injenensis sp. nov., a new member isolated from human urine.	Paek J, Shin JH, Shin Y, Park IS, Jin TE, Kook JK, Wie SH, Cho HG, Park SJ, Chang YH	Antonie Van Leeuwenhoek	10.1007/s10482-014-0317-y	2014
Phylogeny	Myroides phaeus sp. nov., isolated from human saliva, and emended descriptions of the genus Myroides and the species Myroides profundi Zhang et al. 2009 and Myroides marinus Cho et al. 2011.	Yan S, Zhao N, Zhang XH	Int J Syst Evol Microbiol	10.1099/ijs.0.029215-0	2011

References

#16784	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 23313
#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 )
#30087	Barberan A, Caceres Velazquez H, Jones S, Fierer N.: Hiding in Plain Sight: Mining Bacterial Species Records for Phenotypic Trait Information. mSphere 2: 2017 ( DOI 10.1128/mSphere.00237-17 , PubMed 28776041 ) - originally annotated from #26444 (see below)
#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 .
#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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Myroides phaeus (DSM 23313, LMG 25566, MY15)

Name and taxonomic classification

Morphology

Cell morphology

Pigmentation

Culture and growth conditions

Culture medium

Culture temp

Culture pH

Physiology and metabolism

Oxygen tolerance

Spore formation

Halophily

Observation

Metabolite utilization

Enzymes

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_900099675

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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