Dactylosporangium sucinum (DSM 111298, JCM 19831, PCU 333)

Name: Dactylosporangium sucinum (DSM 111298, JCM 19831, PCU 333)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 159617

Type strain

Strain Designation RY35-23

Culture col. no. DSM 111298 JCM 19831 PCU 333 TISTR 2212 RY35-23

NCBI tax ID(s) 1424081

Special Collections DSMZ JCM

History DSMZ <-JCM<-S. Tanasupawat; Chulalongkorn Univ., Thailand. JCM <-- S. Tanasupawat; Chulalongkorn Univ., Thailand; RY35-23.

Links

Dactylosporangium sucinum RY35-23 is a bacterium that was isolated from Peat swamp forest soil.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 405074

JCM 19831,DSM 111298

@ref 20215

Last LPSN update 2026-05-29 08:44:14

Domain Bacteria

Phylum Actinomycetota

Class Actinomycetes

Order Micromonosporales

Family Micromonosporaceae

Genus Dactylosporangium

Species Dactylosporangium sucinum

Full scientific name Dactylosporangium sucinum Phongsopitanun et al. 2016

Morphology

Cell morphology

@ref	Gram stain	Confidence	Motility
125439	positive	99.645
125439		94.794

Multimedia

@ref:	66443
multimedia content:	DSM_111298.jpg
multimedia.multimedia content:	https://www.dsmz.de/microorganisms/photos/DSM_111298.jpg
caption:	Medium 554 28°C
intellectual property rights:	© Leibniz-Institut DSMZ
manual_annotation:	1

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
66443	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
66443	ROLLED OATS MINERAL MEDIUM (DSMZ Medium 84)		Medium recipe at MediaDive	Name: ROLLED OATS MINERAL MEDIUM (DSMZ Medium 84) Composition: Agar 20.0 g/l Rolled oats 20.0 g/l ZnSO4 x 7 H2O 0.001 g/l MnCl2 x 4 H2O 0.001 g/l FeSO4 x 7 H2O 0.001 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
66443	positive	growth	28
67770	positive	growth	28

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	98.713

Observation

67770

Observationquinones: MK-9(H₈), MK-9(H₆)

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Terrestrial	#Forest
#Environmental	#Terrestrial	#Soil
#Environmental	#Terrestrial	#Wetland (Swamp)
#Condition	#Acidic	-

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
66443	Peat swamp forest soil	Nong Jum Rung area, Rayong Province, Thailand	Thailand	THA	Asia
67770	Peat swamp forest soil from Nong Jum Rung area	Rayong Province	Thailand	THA	Asia

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
124043	ASM4243058v1 assembly for Dactylosporangium sucinum JCM 19831	scaffold	GCA_042430585			1424081	34.62
66792	ASM1464751v1 assembly for Dactylosporangium sucinum JCM 19831	scaffold	GCA_014647515	1424081.3	2995168327	1424081	0

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
66443	Dactylosporangium sucinum gene for 16S ribosomal RNA, partial sequence	AB872783	1422		1424081

GC content

@ref	GC-content (mol%)	Method
66443	72.5	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: ASM4243058v1 assembly for Dactylosporangium sucinum JCM 19831
NCBI: GCA_042430585

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	98.71	no
125439	motility	BacteriaNetⓘ	no	94.79	no
125439	gram_stain	BacteriaNetⓘ	positive	99.65	no
125439	spore_formation	BacteriaNetⓘ	yes	79.89	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Dactylosporangium sucinum JCM 19831
NCBI: GCA_014647515.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	81.63	no
125438	anaerobic	anaerobicⓘ	no	91.85	no
125438	aerobic	aerobicⓘ	yes	86.34	no
125438	spore-forming	spore-formingⓘ	yes	86.20	no
125438	thermophilic	thermophileⓘ	no	94.49	yes
125438	flagellated	motile2+ⓘ	no	65.83	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Genetics	Rubber Degrading Strains: Microtetraspora and Dactylosporangium.	Basik AA, Nanthini J, Yeo TC, Sudesh K.	Polymers (Basel)	10.3390/polym13203524	2021
	Streptomyces rugosispiralis sp. nov., a Novel Actinobacterium Isolated from Peat Swamp Forest Soil That Produces Ansamycin Derivatives and Nocardamines.	Weeraphan T, Supong K, Sripreechasak P, Jutakanoke R, Kowinthanaphat S, Tanasupawat S, Pittayakhajonwut P, Phongsopitanun W.	Antibiotics (Basel)	10.3390/antibiotics12091467	2023
Phylogeny	Dactylosporangium solaniradicis sp. nov., a novel actinobacterium isolated from a root of tomato (Solanum lycopersicum L.).	Fan J, Liu C, Ma Z, Zhou S, Li W, Li J, Chu L, Wang X, Xiang W	Antonie Van Leeuwenhoek	10.1007/s10482-016-0697-2	2016
Phylogeny	Dactylosporangium sucinum sp. nov., isolated from Thai peat swamp forest soil.	Phongsopitanun W, Kudo T, Ohkuma M, Suwanborirux K, Tanasupawat S	J Antibiot (Tokyo)	10.1038/ja.2014.170	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 )
#66443	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 111298
#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) .
#67770	Japan Collection of Microorganism (JCM) ; Curators of the JCM;
#124043	Isabel Schober, Julia Koblitz: Data extracted from sequence databases, automatically matched based on designation and taxonomy .
#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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Dactylosporangium sucinum (DSM 111298, JCM 19831, PCU 333)

Name and taxonomic classification

Morphology

Cell morphology

Multimedia

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Observation

Isolation, sampling and environmental information

Isolation source categories

Isolation

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_042430585

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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