Microbispora corallina (DSM 44682, ATCC BAA-20, IFO 16416)

Name: Microbispora corallina (DSM 44682, ATCC BAA-20, IFO 16416)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 16529

Type strain

Strain Designation DF-32

Culture col. no. DSM 44682 ATCC BAA-20 IFO 16416 JCM 10267 NBRC 161416 4 more

NCBI tax ID(s) 83302

Special Collections DSMZ JCM

History <- JCM <- V. Kitpreechavanich; DF-32 V. Kitpreechavanich DF-32.

Links

Microbispora corallina DF-32 is a mesophilic prokaryote that was isolated from soil from a deciduous diplerocarp.

mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 46268

ATCC BAA-20,JCM 10267,IFO 16416,DSM 44682,NBRC 16416,NBRC 161416,BCRC 16341,CCRC 16341

@ref 20215

Last LPSN update 2026-02-09 11:21:59

Domain Bacteria

Phylum Actinomycetota

Class Actinomycetes

Order Streptosporangiales

Family Streptosporangiaceae

Genus Microbispora

Species Microbispora corallina

Full scientific name Microbispora corallina Nakajima et al. 1999

BacDive ID	Other strains from **Microbispora corallina** (1)	Type strain
16528	M. corallina DF-28, DSM 44681, JCM 10266

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	positive	98.5
125438	positive	91.273

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
11997	STARCH - MINERAL SALT - AGAR (STMS) (DSMZ Medium 252)		Medium recipe at MediaDive	Name: STARCH - MINERAL SALT - AGAR (STMS) (DSMZ Medium 252; with strain-specific modifications) Composition: Agar 14.985 g/l Starch 9.99001 g/l (NH4)2SO4 1.998 g/l CaCO3 1.998 g/l Yeast 1.0 g/l K2HPO4 0.999001 g/l MgSO4 x 7 H2O 0.999001 g/l NaCl 0.999001 g/l FeSO4 x 7 H2O 0.000999001 g/l MnCl2 x 4 H2O 0.000999001 g/l ZnSO4 x 7 H2O 0.000999001 g/l Distilled water
11997	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

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
11997	positive	growth	28	mesophilic
67770	positive	growth	28	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	99.1

Observation

67770

Observationquinones: MK-9(III,VIII-H₄), MK-9(H₂), MK-9

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Terrestrial	#Soil
#Host	#Plants	#Tree

Isolation

@ref	Sample type	Country	Country ISO 3 Code	Continent
11997	soil from a deciduous diplerocarp	Thailand	THA	Asia
67770	Soil at a deciduous dipterocarp forest	Thailand	THA	Asia

Taxonmaps

69479

Global distribution of 16S sequence AB018046 (>99% sequence identity) for Microbispora corallina from Microbeatlas

Aquatic Samples	5
Soil Samples	55
Animal Samples	5
Plant Samples	28
Total Samples	93

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
11997	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
66792	ASM1686303v1 assembly for Microbispora corallina NBRC 16416	contig	GCA_016863035	83302.3	8067158544	83302	44.68
124043	ASM3952441v1 assembly for Microbispora corallina JCM 10267	scaffold	GCA_039524415			83302	17.21

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
11997	Microbispora corallina gene for 16S rRNA, partial sequence	AB018046	1442		83302

GC content

@ref	GC-content (mol%)	Method
11997	71
67770	71.5	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: Microbispora corallina NBRC 16416
NCBI: GCA_016863035

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	53.60	no
125439	motility	BacteriaNetⓘ	no	74.10	no
125439	gram_stain	BacteriaNetⓘ	positive	98.50	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	99.10	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Microbispora corallina strain NBRC 16416
PATRIC: 83302.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	91.27	no
125438	anaerobic	anaerobicⓘ	no	89.79	no
125438	aerobic	aerobicⓘ	yes	86.05	no
125438	spore-forming	spore-formingⓘ	yes	84.77	no
125438	thermophilic	thermophileⓘ	no	96.50	yes
125438	flagellated	motile2+ⓘ	no	86.00	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Microbispora tritici sp. nov., a novel actinomycete isolated from a root of wheat (Triticum aestivum L.).	Han C, Zhao J, Yu B, Shi H, Zhang C, Guo X, Xiang W, Wang X	Antonie Van Leeuwenhoek	10.1007/s10482-019-01246-y	2019
Phylogeny	Microbispora triticiradicis sp. nov., a novel actinomycete isolated from the root of wheat (Triticum aestivum L.).	Han C, Tian Y, Zhao J, Yu Z, Jiang S, Guo X, Xiang W, Wang X	Int J Syst Evol Microbiol	10.1099/ijsem.0.003040	2018
Phylogeny	Microbispora hainanensis sp. nov., isolated from rhizosphere soil of Excoecaria agallocha in a mangrove.	Xu XX, Wang HL, Lin HP, Wang C, Qu Z, Xie QY, Ruan JS, Hong K	Int J Syst Evol Microbiol	10.1099/ijs.0.037267-0	2011
Phylogeny	Microbispora corallina sp. nov., a new species of the genus Microbispora isolated from Thai soil.	Nakajima Y, Kitpreechavanich V, Suzuki K, Kudo T	Int J Syst Bacteriol	10.1099/00207713-49-4-1761	1999

References

#11997	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 44682
#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) .
#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 .
#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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Microbispora corallina (DSM 44682, ATCC BAA-20, IFO 16416)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Observation

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_016863035

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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