Cite this strain

"Kitasatospora papulosa" (DSM 41643, ATCC 49231, IAM 13637)

BacDive ID 15952

Type strain

Culture col. no. DSM 41643 ATCC 49231 IAM 13637 IFO 14834 JCM 7250 2 more

NCBI tax ID(s) 1931

Special Collections DSMZ JCM

"Kitasatospora papulosa" DSM 41643 is a mesophilic prokaryote that was isolated from soil.

mesophilic genome sequence 16S sequence

Name and taxonomic classification

Culture Collection Numbers

DSM 41643 ATCC 49231 IAM 13637 IFO 14834 JCM 7250 NBRC 14834 NRRL B-16504

@ref 20215

Last LPSN update 2025-12-16 09:50:44

Domain Bacillati

Phylum Actinomycetota

Class Actinomycetes

Order Kitasatosporales

Family Streptomycetaceae

Genus Kitasatospora

Species "Kitasatospora papulosa"

Full scientific name Kitasatospora papulosa corrig. Nakamura et al. 1989

Synonyms (1)

"Kitasatosporia papulosa"

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	positive	99.2
125438	positive	92.066

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
10420	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
10420	STARCH - MINERAL SALT - AGAR (STMS) (DSMZ Medium 252)		Medium recipe at MediaDive	Name: STARCH - MINERAL SALT - AGAR (STMS) (DSMZ Medium 252) Composition: Agar 14.985 g/l Starch 9.99001 g/l (NH4)2SO4 1.998 g/l CaCO3 1.998 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

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
10420	positive	growth	28	mesophilic
67770	positive	growth	28	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125438	aerobe	90.919
125439	obligate aerobe	96.9

Compound production

10420

Compoundcarbapenem antibiotic AB-110-D

Observation

67770

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

Metabolite production

@ref	Chebi-ID	Metabolite	Production
67770	46765 ChEBI	carbapenem

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Terrestrial	#Soil

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
10420	soil	Yokohama City	Japan	JPN	Asia
67770	Soil	Yokohama City	Japan	JPN	Asia

Taxonmaps

69479

Global distribution of 16S sequence U93338 (>99% sequence identity) for Streptomyces from Microbeatlas

Aquatic Samples	286
Soil Samples	2441
Animal Samples	1009
Plant Samples	294
Total Samples	4030

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
67770	ASM71724v1 assembly for [Kitasatospora] papulosa NRRL B-16504	contig	GCA_000717245	1464011.3	2767802051	1464011	60.14

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
20218	Streptomyces sp. JCM 7250 16S ribosomal RNA gene, partial sequence	U93338	1484		1464011
20218	[Kitasatospora] papulosa strain JCM 7250 16S-23S ribosomal RNA intergenic spacer, partial sequence	U93339	299		1464011

GC content

@ref	GC-content (mol%)	Method
67770	70.2	high performance liquid chromatography (HPLC)
67770	72	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: [Kitasatospora] papulosa NRRL B-16504
NCBI: GCA_000717245

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	yes	84.10	no
125439	motility	BacteriaNetⓘ	no	87.80	no
125439	gram_stain	BacteriaNetⓘ	positive	99.20	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	96.90	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: [Kitasatospora] papulosa NRRL B-16504
NCBI: GCA_000717245.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	92.07	no
125438	anaerobic	anaerobicⓘ	no	97.87	no
125438	aerobic	aerobicⓘ	yes	90.92	no
125438	spore-forming	spore-formingⓘ	yes	89.44	no
125438	thermophilic	thermophileⓘ	no	96.50	no
125438	flagellated	motile2+ⓘ	no	88.50	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Genetics	Complete Genome Sequence and Characterization of a Polyethylene Biodegradation Strain, Streptomyces Albogriseolus LBX-2.	Shao H, Chen M, Fei X, Zhang R, Zhong Y, Ni W, Tao X, He X, Zhang E, Yong B, Tan X.	Microorganisms	10.3390/microorganisms7100379	2019
	Lydicamycins induce morphological differentiation in actinobacterial interactions.	Jarmusch SA, Schostag MD, Yang Z, Wang J, Andersen AJC, Weber T, Ding L.	Appl Environ Microbiol	10.1128/aem.00295-25	2025
	Antifungal Streptomyces spp., Plausible Partners for Brood-Caring of the Dung Beetle Copris tripartitus.	Kim SH, Park G, Park JS, Kwon HC.	Microorganisms	10.3390/microorganisms9091980	2021
	Genomes of four Streptomyces strains reveal insights into putative new species and pathogenicity of scab-causing organisms.	Henao L, Zade RSH, Restrepo S, Husserl J, Abeel T.	BMC Genomics	10.1186/s12864-023-09190-y	2023
Phylogeny	Streptomyces silvae sp. nov., isolated from forest soil.	Besaury L, Martinet L, Muhle E, Clermont D, Remond C	Int J Syst Evol Microbiol	10.1099/ijsem.0.005147	2021

References

#10420	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 41643
#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 )
#20218	Verslyppe, B., De Smet, W., De Baets, B., De Vos, P., Dawyndt P.: StrainInfo introduces electronic passports for microorganisms.. Syst Appl Microbiol. 37: 42 - 50 2014 ( DOI 10.1016/j.syapm.2013.11.002 , PubMed 24321274 )
#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 .

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"Kitasatospora papulosa" (DSM 41643, ATCC 49231, IAM 13637)

Name and taxonomic classification

Culture Collection Numbers

Morphology

Cell morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Compound production

Observation

Metabolite production

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_000717245

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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