Selenomonas montiformis (DSM 106892, WCA-380-WT-3B3, WCA-380-WT-3B 3/)

Name: Selenomonas montiformis (DSM 106892, WCA-380-WT-3B3, WCA-380-WT-3B 3/)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 158896

Type strain

Strain Designation WCA-380-WT-3B3, WCA-380-WT-3B 3/

Culture col. no. DSM 106892 WCA-380-WT-3B3 WCA-380-WT-3B 3/ JCM 34373

NCBI tax ID(s) 2652285

Special Collections DSMZ JCM Pig Literature strains DZIF

History <- T. Clavel , TU Munich, Freising-Weihenstephan, Germany; WCA-380-WT-3B3/ B. Abt; DSMZ, Germany; DSM 106892 (=WCA-380-WT-3B3) <-- T. Clavel; RWTH Aachen, Germany.

Links

Selenomonas montiformis WCA-380-WT-3B3 is an anaerobe, motile bacterium that was isolated from feces; pig, 16 weeks old, wild type.

motile anaerobe genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 400030

JCM 34373,DSM 106892

@ref 20215

Last LPSN update 2026-02-09 11:38:27

Domain Bacteria

Phylum Bacillota

Class Negativicutes

Order Selenomonadales

Family Selenomonadaceae

Genus Selenomonas

Species Selenomonas montiformis

Full scientific name Selenomonas montiformis Wylensek et al. 2021

Morphology

Cell morphology

@ref	Cell length	Motility
69645	1-2 µm

Culture and growth conditions

Culture medium

@ref	Name	Medium link	Composition
65718	FASTIDIOUS ANAEROBE BROTH (DSMZ Medium 1203a)	Medium recipe at MediaDive	Name: FASTIDIOUS ANAEROBE BROTH (DSMZ Medium 1203a) Composition: Fastidious Anaerobe Basal Broth 35.4 g/l Distilled water
65718	WILKINS-CHALGREN ANAEROBE BROTH (DSMZ Medium 339)	Medium recipe at MediaDive	Name: WILKINS-CHALGREN ANAEROBE BROTH (DSMZ Medium 339) Composition: dehydrated Wilkins-Chalgren medium 33.0 g/l L-Cysteine HCl 0.3 g/l Sodium resazurin 0.0005 g/l Distilled water
69645	Wilkins-Chalgren Anaerobe broth		supplemented with L-cysteine and DTT (0.05% and 0.02% (w/v), respectively)
69645	modified YCFA

Culture temp

@ref	Growth	Type	Temperature (°C)
65718	positive	growth	37
67770	positive	growth	37
69645	positive	growth	37

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
69645	anaerobe
125438	anaerobe	92.194
125439	anaerobe	96.6

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
69645	17234 ChEBI	glucose	+	assimilation
69645	30031 ChEBI	succinate	+	assimilation
69645	31011 ChEBI	valerate	+	assimilation

Metabolite production

@ref	Chebi-ID	Metabolite
69645	30089 ChEBI	acetate
69645	48944 ChEBI	isobutyrate
69645	24996 ChEBI	lactate
69645	17272 ChEBI	propionate

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host Body Product	#Gastrointestinal tract	#Feces (Stool)
#Host	#Mammals	#Suidae (Pig,Swine)

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent	Enrichment culture	Enrichment culture duration	Enrichment culture temperature	Isolation procedure
65718	feces; pig, 16 weeks old, wild type	Kranzberg (Bavaria)	Germany	DEU	Europe
67770	Feces of a German Landrace pig	Freising	Germany	DEU	Europe
69645	Pig feces	Thalhausen, Bavaria	Germany	DEU	Europe	Wilkins-Chalgren Anaerobe broth	1-2 days	37	anaerobic

Taxonmaps

69479

Global distribution of 16S sequence MN537516 (>99% sequence identity) for Selenomonas from Microbeatlas

Aquatic Samples	125
Soil Samples	214
Animal Samples	7694
Plant Samples	93
Total Samples	8126

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM969738v1 assembly for Selenomonas montiformis WCA-380-WT-3B3	contig	GCA_009697385	2605788.3	2895405293	2652285	74.01

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
65718	Selenomonas montiformis strain WCA-380-WT-3B3 16S ribosomal RNA gene, partial sequence	MN537516	1491		2652285

GC content

@ref	GC-content (mol%)	Method
69645	52.6	genome sequence analysis

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Selenomonas montiformis WCA-380-WT-3B3
NCBI: GCA_009697385

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	yes	55.60	no
125439	motility	BacteriaNetⓘ	yes	51.20	no
125439	gram_stain	BacteriaNetⓘ	positive	78.10	no
125439	oxygen_tolerance	BacteriaNetⓘ	anaerobe	96.60	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Selenomonas sp. WCA-380-WT-3B 3/
PATRIC: 2605788.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	87.21	no
125438	anaerobic	anaerobicⓘ	yes	92.19	yes
125438	spore-forming	spore-formingⓘ	no	63.79	no
125438	aerobic	aerobicⓘ	no	94.05	yes
125438	thermophilic	thermophileⓘ	no	87.79	yes
125438	flagellated	motile2+ⓘ	yes	66.46	no

Literature

Title	Authors	Journal	DOI	Year
Selenomonas caprae sp. nov., an obligately anaerobic and volatile fatty acid producing bacterium from ruminal fluid of domestic goat (Capra hircus L.).	Poothong S, Tanasupawat S, Chanpongsang S, Phongsopitanun W, Nuengjamnong C.	Int J Syst Evol Microbiol	10.1099/ijsem.0.005936	2023

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 )
#65718	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 106892
#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) .
#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 .
#69645	David Wylensek, Thomas C. A. Hitch, Thomas Riedel, Afrizal Afrizal, Neeraj Kumar, Esther Wortmann, Tianzhe Liu, Saravanan Devendran, Till R. Lesker, Sara B. Hernández, Viktoria Heine, Eva M. Buhl, Paul M. D'Agostino, Fabio Cumbo, Thomas Fischöder, Marzena Wyschkon, Torey Looft, Valeria R. Parreira, Birte Abt, Heidi L. Doden, Lindsey Ly, João M. P. Alves, Markus Reichlin, Krzysztof Flisikowski, Laura Navarro Suarez, Anthony P. Neumann, Garret Suen, Tomas de Wouters, Sascha Rohn, Ilias Lagkouvardos, Emma Allen-Vercoe, Cathrin Spröer, Boyke Bunk, Anja J. Taverne-Thiele, Marcel Giesbers, Jerry M. Wells, Klaus Neuhaus, Angelika Schnieke, Felipe Cava, Nicola Segata, Lothar Elling, Till Strowig, Jason M. Ridlon, Tobias A. M. Gulder, Jörg Overmann, Thomas Clavel: A collection of bacterial isolates from the pig intestine reveals functional and taxonomic diversity. Nat. Commun. 11: 2020 ( DOI 10.1038/s41467-020-19929-w )
#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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Selenomonas montiformis (DSM 106892, WCA-380-WT-3B3, WCA-380-WT-3B 3/)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Metabolite utilization

Metabolite production

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_009697385

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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