Saccharopolyspora aridisoli (16K404, JCM 32922, KCTC 49223)

Name: Saccharopolyspora aridisoli (16K404, JCM 32922, KCTC 49223)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 168464

Type strain

Strain Designation 16K404

Culture col. no. 16K404 JCM 32922 KCTC 49223

NCBI tax ID(s) 2530385

Special Collections JCM KCTC

Links

Saccharopolyspora aridisoli 16K404 is a bacterium of the family Pseudonocardiaceae.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 24468

KCTC 49223,JCM 32922

@ref 20215

Last LPSN update 2026-02-09 11:40:48

Domain Bacteria

Phylum Actinomycetota

Class Actinomycetes

Order Pseudonocardiales

Family Pseudonocardiaceae

Genus Saccharopolyspora

Species Saccharopolyspora aridisoli

Full scientific name Saccharopolyspora aridisoli Saygin et al. 2022

Morphology

Cell morphology

@ref	Gram stain	Confidence
125438	positive	90.607
125439		92.4
125439	positive	99.6

Culture and growth conditions

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	99.1

Isolation, sampling and environmental information

Taxonmaps

69479

Global distribution of 16S sequence MG770869 (>99% sequence identity) for Saccharopolyspora from Microbeatlas

Aquatic Samples	39
Soil Samples	398
Animal Samples	719
Plant Samples	116
Total Samples	1272

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM434844v1 assembly for Saccharopolyspora aridisoli 16K404	contig	GCA_004348445	2530385.3	2866826726	2530385	62.41

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
20215	Saccharopolyspora aridisoli strain 16K404 16S ribosomal RNA gene, partial sequence	MG770869	1415		2530385

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Saccharopolyspora aridisoli 16K404
NCBI: GCA_004348445

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	yes	77.00	no
125439	motility	BacteriaNetⓘ	no	92.40	no
125439	gram_stain	BacteriaNetⓘ	positive	99.60	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: Saccharopolyspora aridisoli 16K404
NCBI: GCA_004348445.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	90.61	no
125438	anaerobic	anaerobicⓘ	no	95.18	no
125438	aerobic	aerobicⓘ	yes	89.89	no
125438	spore-forming	spore-formingⓘ	yes	86.27	no
125438	thermophilic	thermophileⓘ	no	96.49	no
125438	flagellated	motile2+ⓘ	no	86.50	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Saccharopolyspora karakumensis sp. nov., Saccharopolyspora elongata sp. nov., Saccharopolyspora aridisoli sp. nov., Saccharopolyspora terrae sp. nov. and their biotechnological potential revealed by genome analysis.	Saygin H, Ay H, Guven K, Inan-Bektas K, Cetin D, Sahin N	Syst Appl Microbiol	10.1016/j.syapm.2021.126270	2021

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 )
#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) .
#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 .
#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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Saccharopolyspora aridisoli (16K404, JCM 32922, KCTC 49223)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Physiology and metabolism

Oxygen tolerance

Isolation, sampling and environmental information

Taxonmaps

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_004348445

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

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