Streptacidiphilus neutrinimicus (DSM 41755, KCTC 9911, JL206)

Name: Streptacidiphilus neutrinimicus (DSM 41755, KCTC 9911, JL206)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 14873

Type strain

Strain Designation JL206

Culture col. no. DSM 41755 KCTC 9911 JL206 NCIMB 13797 NBRC 100921 3 more

NCBI tax ID(s) 105420

Special Collections DSMZ JCM KCTC

History <- S.B. Kim, Univ. of Newcastle, JL206 <- C.N. Seong <- J. Lonsdale KCTC 9911 <-- S. B. Kim JL206 <-- C. N. Seong <-- J. Lonsdale. <- S.B.Kim, KRIBB

Links

Streptacidiphilus neutrinimicus JL206 is an aerobe, Gram-positive bacterium that was isolated from soil.

Gram-positive aerobe genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 60982

NCIMB 13797,DSM 41755,KCTC 9911,NBRC 100921,JCM 12365,BCRC 16807,CCRC 16807,CGMCC 4.1811

@ref 20215

Last LPSN update 2026-02-09 11:21:32

Domain Bacteria

Phylum Actinomycetota

Class Actinomycetes

Order Kitasatosporales

Family Streptomycetaceae

Genus Streptacidiphilus

Species Streptacidiphilus neutrinimicus

Full scientific name Streptacidiphilus neutrinimicus Kim et al. 2003

Morphology

Cell morphology

@ref	Gram stain	Confidence
67771	positive
125438	positive	92.756
125439		94.4
125439	positive	99.9

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
10548	BENNETT'S AGAR (DSMZ Medium 548)		Medium recipe at MediaDive	Name: BENNETT'S AGAR (DSMZ Medium 548) Composition: Agar 15.0 g/l Glucose 10.0 g/l N-Z amine 2.0 g/l Yeast extract 1.0 g/l Beef extract 1.0 g/l Distilled water
10548	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)
10548	positive	growth	28
67770	positive	growth	28
67771	positive	growth	25

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
67771	aerobe
125439	obligate aerobe	98.4

Spore formation

@ref	Spore formation	Confidence
125439		96.7

Observation

67770

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

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
10548	soil	County Duhram, Hamsterly Forest	United Kingdom	GBR	Europe
67770	Litter layers in a spruce forest	Hamsterley Forest, County Durham	United Kingdom	GBR	Europe
67771	From soil		United Kingdom	GBR	Europe

Taxonmaps

69479

Global distribution of 16S sequence AB249949 (>99% sequence identity) for Streptacidiphilus from Microbeatlas

Aquatic Samples	86
Soil Samples	623
Animal Samples	112
Plant Samples	31
Total Samples	852

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
10548	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
67770	ASM78781v1 assembly for Streptacidiphilus neutrinimicus NBRC 100921	scaffold	GCA_000787815	105420.3	2671180946	105420

16S sequences

@ref	Description	Accession	Length	NCBI tax ID
10548	Soil actinomycete DSM 41755 16S ribosomal RNA gene, complete sequence	AF074410	1511	105420
67771	Streptacidiphilus neutrinimicus gene for 16S rRNA, partial sequence, strain: NBRC 100921	AB249949	1444	105420
124043	Streptacidiphilus neutrinimicus strain KCTC 9911 16S ribosomal RNA gene, partial sequence.	PQ409589	1411	105420

GC content

@ref	GC-content (mol%)	Method
67770	72.2	genome sequence analysis

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Streptacidiphilus neutrinimicus NBRC 100921
NCBI: GCA_000787815

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	98.40	no
125439	gram_stain	BacteriaNetⓘ	positive	99.90	no
125439	motility	BacteriaNetⓘ	no	94.40	no
125439	spore_formation	BacteriaNetⓘ	yes	96.70	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Streptacidiphilus neutrinimicus NBRC 100921
PATRIC: 105420.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	92.76	yes
125438	anaerobic	anaerobicⓘ	no	94.35	yes
125438	spore-forming	spore-formingⓘ	yes	87.72	no
125438	aerobic	aerobicⓘ	yes	89.13	no
125438	thermophilic	thermophileⓘ	no	96.00	yes
125438	flagellated	motile2+ⓘ	no	89.50	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Streptacidiphilus toruniensis sp. nov., isolated from a pine forest soil.	Golinska P, Dahm H, Goodfellow M	Antonie Van Leeuwenhoek	10.1007/s10482-016-0759-5	2016
Phylogeny	Streptacidiphilus hamsterleyensis sp. nov., isolated from a spruce forest soil.	Golinska P, Kim BY, Dahm H, Goodfellow M	Antonie Van Leeuwenhoek	10.1007/s10482-013-0015-1	2013

References

#10548	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 41755
#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;
#67771	Korean Collection for Type Cultures (KCTC) ; Curators of the KCTC;
#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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Streptacidiphilus neutrinimicus (DSM 41755, KCTC 9911, JL206)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Observation

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_000787815

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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