Kitasatospora phosalacinea (NRRL B-16228, NBRC 14362, IFO 14362)

Name: Kitasatospora phosalacinea (NRRL B-16228, NBRC 14362, IFO 14362)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 164557

Type strain

Culture col. no. NRRL B-16228 NBRC 14362 IFO 14362 CGMCC 4.1176 JCM 3344

NCBI tax ID(s) 2065

Special Collections JCM

History J. Ruan 4-4C.

Links

Kitasatospora phosalacinea JCM 3344 is a bacterium that was isolated from Soil.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 62434

JCM 3344,IFO 14362,NRRL B-16228,AS 4.1176,NBRC 14362,DSM 44450,CGMCC 4.1176

@ref 20215

Last LPSN update 2026-02-09 11:39:53

Domain Bacteria

Phylum Actinomycetota

Class Actinomycetes

Order Kitasatosporales

Family Streptomycetaceae

Genus Kitasatospora

Species Kitasatospora phosalacinea

Full scientific name Kitasatospora phosalacinea corrig. Takahashi et al. 1985

Synonyms (2)

Kitasatosporia phosalacinea
Streptomyces phosalacineus

BacDive ID	Other strains from **Kitasatospora phosalacinea** (2)	Type strain
16344	K. phosalacinea KA-338, DSM 43860, IFO 14372, JCM 3340, NBRC ... (type strain)
161224	K. phosalacinea JCM 12415, IFO 14627, NBRC 14627

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	positive	100
125439		94.7
125438		91.5

Culture and growth conditions

Culture temp

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

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	99.3

Spore formation

@ref	Spore formation	Confidence
125439		99.2
125438		90.107

Observation

67770

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

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
67770	Soil	Kunming City, Yunnan Province	China	CHN	Asia

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
124043	ASM3026882v1 assembly for Kitasatospora phosalacinea NBRC 14362	scaffold	GCA_030268825	2065.7		2065	32.43
67770	ASM71718v1 assembly for Kitasatospora phosalacinea NRRL B-16228	contig	GCA_000717185	2065.5	2751185793	2065	9.89

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
67770	Kitasatosporia streptosporus 16S ribosomal RNA gene, partial sequence	U93334	1482		2065

GC content

@ref	GC-content (mol%)	Method
67770	72.9	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 phosalacinea NRRL B-16228
NCBI: GCA_000717185

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	yes	99.20	no
125439	motility	BacteriaNetⓘ	no	94.70	no
125439	gram_stain	BacteriaNetⓘ	positive	100.00	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	99.30	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Kitasatospora phosalacinea NRRL B-16228
NCBI: GCA_000717185.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	85.56	no
125438	anaerobic	anaerobicⓘ	no	97.23	no
125438	aerobic	aerobicⓘ	yes	80.44	no
125438	spore-forming	spore-formingⓘ	yes	90.11	no
125438	thermophilic	thermophileⓘ	no	94.50	yes
125438	flagellated	motile2+ⓘ	no	91.50	no

Literature

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 )
#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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