Micromonospora fluostatini (DSM 111124, JCM 30529, PCU 341)

Name: Micromonospora fluostatini (DSM 111124, JCM 30529, PCU 341)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 159609

Type strain

Strain Designation PWB-003

Culture col. no. DSM 111124 JCM 30529 PCU 341 TISTR 2345 PWB-003

NCBI tax ID(s) 1629071

Special Collections DSMZ JCM

Links

Micromonospora fluostatini PWB-003 is a mesophilic prokaryote that was isolated from Nearshore sediment.

mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 398742

JCM 30529,DSM 111124

@ref 20215

Last LPSN update 2025-12-16 10:08:18

Domain Bacillati

Phylum Actinomycetota

Class Actinomycetes

Order Micromonosporales

Family Micromonosporaceae

Genus Micromonospora

Species Micromonospora fluostatini

Full scientific name Micromonospora fluostatini Phongsopitanun et al. 2015

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	positive	99.9
125439		90.8
125438		91.5

Multimedia

@ref:	66435
multimedia content:	DSM_111124.jpg
multimedia.multimedia content:	https://www.dsmz.de/microorganisms/photos/DSM_111124.jpg
caption:	Medium 554 28°C
intellectual property rights:	© Leibniz-Institut DSMZ
manual_annotation:	1

Culture and growth conditions

Culture medium

@ref	Name	Medium link	Composition
66435	GYM STREPTOMYCES MEDIUM (DSMZ Medium 65)	Medium recipe at MediaDive	Name: GYM STREPTOMYCES MEDIUM (DSMZ Medium 65) Composition: Agar 18.0 g/l Malt extract 10.0 g/l Yeast extract 4.0 g/l Glucose 4.0 g/l CaCO3 2.0 g/l Distilled water
66435	N-Z-AMINE-MEDIUM (DSMZ Medium 554)	Medium recipe at MediaDive	Name: N-Z-AMINE-MEDIUM (DSMZ Medium 554) Composition: Starch 20.0 g/l Agar 20.0 g/l Glucose 10.0 g/l N-Z amine 5.0 g/l Yeast extract 5.0 g/l CaCO3 1.0 g/l Distilled water
66435	GPHF-MEDIUM (DSMZ Medium 553)	Medium recipe at MediaDive	Name: GPHF-MEDIUM (DSMZ Medium 553) Composition: Agar 20.0 g/l Glucose 10.0 g/l Beef extract 5.0 g/l Yeast extract 5.0 g/l Casein peptone 5.0 g/l CaCl2 x 2 H2O 0.74 g/l Distilled water
66435	TRYPTICASE SOY BROTH AGAR (DSMZ Medium 535)	Medium recipe at MediaDive	Name: TRYPTICASE SOY BROTH AGAR (DSMZ Medium 535) Composition: Trypticase soy broth 30.0 g/l Agar 15.0 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
66435	positive	growth	28	mesophilic
67770	positive	growth	28	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	98.5

Spore formation

@ref	Spore formation	Confidence
125439		90.1

Observation

67770

Observationquinones: MK-10(H₄)

Metabolite production

@ref	Metabolite	Production
67770	fluostatin B
67770	fluostatin C

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Terrestrial	#Coast
#Environmental	#Aquatic	#Sediment

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent	Latitude	Longitude
66435	Nearshore sediment	Panwa Cape, Phuket Province, Thailand	Thailand	THA	Asia	7.8019	98.4075 7.8019/98.4075
67770	Nearshore sediment from Panwa Cape	Phuket Province	Thailand	THA	Asia

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
66435	1	Risk group (German classification)

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID
67770	ASM434860v1 assembly for Micromonospora fluostatini JCM 30529	contig	GCA_004348605	1629071.3	2900519256	1629071

Genome browser: GCA_004348605

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
66435	Micromonospora fluostatini gene for 16S ribosomal RNA, partial sequence	LC033898	1462		1629071

GC content

@ref	GC-content (mol%)	Method
66435	74.5	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: Micromonospora fluostatini JCM 30529
NCBI: GCA_004348605

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	yes	90.10	no
125439	motility	BacteriaNetⓘ	no	90.80	no
125439	gram_stain	BacteriaNetⓘ	positive	99.90	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	98.50	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Micromonospora fluostatini strain JCM 30529
PATRIC: 1629071.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	75.74	no
125438	anaerobic	anaerobicⓘ	no	80.86	no
125438	spore-forming	spore-formingⓘ	yes	61.16	no
125438	aerobic	aerobicⓘ	yes	76.61	no
125438	thermophilic	thermophileⓘ	no	85.36	yes
125438	flagellated	motile2+ⓘ	no	91.50	no

Literature

Title	Authors	Journal	DOI	Year
Prioritization of Microorganisms Isolated from the Indian Ocean Sponge Scopalina hapalia Based on Metabolomic Diversity and Biological Activity for the Discovery of Natural Products.	Le Loarer A, Marcellin-Gros R, Dufosse L, Bignon J, Frederich M, Ledoux A, Queiroz EF, Wolfender JL, Gauvin-Bialecki A, Fouillaud M.	Microorganisms	10.3390/microorganisms11030697	2023
Testing the Luedemann hypothesis: the discovery of novel antimicrobials from slow-growing microbes from nutrient-limited environments.	Lin B, Woo S, Philbrick A, Bacsa J, Laskey E, Mehra N, Gondil VS, Mei JA, Jones G, Pavelka MS, Dziejman M, Shutter DA, Melander C, Perritt AM, Jakober R, Shen Y, Chang W-C, Quave CL, Dunman PM, Luedemann G.	mSphere	10.1128/msphere.00367-25	2025
Karakum desert: a unique source of cultivable novel and rare actinomycetes with a remarkable biosynthetic potential.	Saygin H, Sahin N, Goodfellow M.	World J Microbiol Biotechnol	10.1007/s11274-025-04399-3	2025
Microorganisms Associated with the Marine Sponge Scopalina hapalia: A Reservoir of Bioactive Molecules to Slow Down the Aging Process.	Said Hassane C, Fouillaud M, Le Goff G, Sklirou AD, Boyer JB, Trougakos IP, Jerabek M, Bignon J, de Voogd NJ, Ouazzani J, Gauvin-Bialecki A, Dufosse L.	Microorganisms	10.3390/microorganisms8091262	2020
Rare actinobacteria isolated from the hypersaline Ojo de Liebre Lagoon as a source of novel bioactive compounds with biotechnological potential.	Zamora-Quintero AY, Torres-Beltran M, Guillen Matus DG, Oroz-Parra I, Millan-Aguinaga N.	Microbiology (Reading)	10.1099/mic.0.001144	2022
Micromonospora fluostatini sp. nov., isolated from marine sediment.	Phongsopitanun W, Kudo T, Mori M, Shiomi K, Pittayakhajonwut P, Suwanborirux K, Tanasupawat S	Int J Syst Evol Microbiol	10.1099/ijsem.0.000589	2015

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 )
#66435	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 111124
#67770	Japan Collection of Microorganism (JCM) ; Curators of the JCM;
#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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Micromonospora fluostatini (DSM 111124, JCM 30529, PCU 341)

Name and taxonomic classification

Morphology

Cell morphology

Multimedia

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Observation

Metabolite production

Isolation, sampling and environmental information

Isolation source categories

Isolation

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_004348605

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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