Stigmatella aurantiaca (DSM 17044, ATCC 25190, M 15)

Name: Stigmatella aurantiaca (DSM 17044, ATCC 25190, M 15)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 3685

Type strain

Strain Designation M 15

Culture col. no. DSM 17044 ATCC 25190 M 15

NCBI tax ID(s) 41

Special Collections DSMZ

History DSMZ <- ATCC <- H. D. McCurdy; M 15

Links

Stigmatella aurantiaca M 15 is a bacterium that was isolated from bark.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 38402

ATCC 25190,DSM 17044

@ref 20215

Last LPSN update 2026-05-29 08:25:46

Domain Bacteria

Phylum Pseudomonadota

Class Deltaproteobacteria

Order Myxococcales

Family Archangiaceae

Genus Stigmatella

Species Stigmatella aurantiaca

Full scientific name Stigmatella aurantiaca Berkeley and Curtis 1875 (Approved Lists 1980)

BacDive ID	Other strains from Stigmatella aurantiaca (11)	Type strain
3684	S. aurantiaca HR 1, DSM 1035
3686	S. aurantiaca Sg a21, DSM 53751
3687	S. aurantiaca Sh a23, DSM 53754
3688	S. aurantiaca Sg a16, DSM 53778
3689	S. aurantiaca Sg a17, DSM 53779
3690	S. aurantiaca Sg a18, DSM 53780
3691	S. aurantiaca Sg h33, DSM 53781
3692	S. aurantiaca Sg h30, DSM 53782
3693	S. aurantiaca Sg a31, DSM 53783
3694	S. aurantiaca Sg a27, DSM 53795
3695	S. aurantiaca Sg a32, DSM 53785

Morphology

Cell morphology

@ref	Gram stain	Confidence
125438	negative	90.476

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
6705	VY/2 AGAR (DSMZ Medium 9)		Medium recipe at MediaDive	Name: VY/2 AGAR (DSMZ Medium 9) Composition: Agar 15.0 g/l Baker's yeast 5.0 g/l CaCl2 x 2 H2O 1.36 g/l Vitamin B12 0.0005 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
6705	positive	growth	30

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	facultative anaerobe	93.095

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host Body-Site	#Plant	#Bark
#Host	#Plants	-
#Host	#Plants	#Tree

Isolation

@ref	Sample type	Country	Country ISO 3 Code	Continent
6705	bark	Canada	CAN	North America

Taxonmaps

69479

Global distribution of 16S sequence KF267736 (>99% sequence identity) for Stigmatella from Microbeatlas

Aquatic Samples	2171
Soil Samples	13615
Animal Samples	1422
Plant Samples	2120
Total Samples	19328

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
6705	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	IMG-taxon 2693429895 annotated assembly for Stigmatella aurantiaca DSM 17044	contig	GCA_900109545	41.8	2693429895	41	64.83

16S sequences

@ref	Description	Accession	Length	NCBI tax ID
20218	Stigmatella aurantiaca strain ATCC 25190 16S ribosomal RNA gene, partial sequence	DQ768127	1502	41
20218	Stigmatella aurantiaca strain DSM 17044 16S ribosomal RNA gene, complete sequence	GU207882	1548	41
20218	Stigmatella aurantiaca strain DSM 17044 16S ribosomal RNA gene, partial sequence	KF267736	1502	41
6705	Stigmatella aurantiaca 16S ribosomal RNA gene, complete sequence	M94281	1552	41

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: IMG-taxon 2693429895 annotated assembly for Stigmatella aurantiaca DSM 17044
NCBI: GCA_900109545

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	facultative anaerobe	93.10	no
125439	gram_stain	BacteriaNetⓘ	positive	58.11	no
125439	motility	BacteriaNetⓘ	no	66.07	no
125439	spore_formation	BacteriaNetⓘ	no	81.91	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Stigmatella aurantiaca strain DSM 17044
PATRIC: 41.8

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	90.48	no
125438	anaerobic	anaerobicⓘ	no	92.36	no
125438	spore-forming	spore-formingⓘ	no	74.33	no
125438	aerobic	aerobicⓘ	yes	75.34	no
125438	thermophilic	thermophileⓘ	no	94.74	no
125438	flagellated	motile2+ⓘ	yes	67.88	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	The soil microbial food web revisited: Predatory myxobacteria as keystone taxa?	Petters S, Gross V, Sollinger A, Pichler M, Reinhard A, Bengtsson MM, Urich T.	ISME J	10.1038/s41396-021-00958-2	2021
	Divergence of functional effects among bacterial sRNA paralogs.	Chen IK, Velicer GJ, Yu YN.	BMC Evol Biol	10.1186/s12862-017-1037-5	2017
Phylogeny	A phylogenetic analysis of the myxobacteria: basis for their classification.	Shimkets L, Woese CR.	Proc Natl Acad Sci U S A	10.1073/pnas.89.20.9459	1992
Phylogeny	Phylogenetic analysis of the bacterial communities in marine sediments.	Gray JP, Herwig RP.	Appl Environ Microbiol	10.1128/aem.62.11.4049-4059.1996	1996
Metabolism	Characterization of four type IV pilin homologues in Stigmatella aurantiaca DSM17044 by heterologous expression in Myxococcus xanthus.	Tan Z, Li H, Pan H, Zhou X, Liu X, Luo N, Hu W, Li Y	PLoS One	10.1371/journal.pone.0075105	2013

References

#6705	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 17044
#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 )
#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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Stigmatella aurantiaca (DSM 17044, ATCC 25190, M 15)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_900109545

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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