Soehngenia saccharolytica (DSM 12858, ATCC BAA-502, BOR-Y)

Name: Soehngenia saccharolytica (DSM 12858, ATCC BAA-502, BOR-Y)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 18010

Type strain

Strain Designation BOR-Y

Culture col. no. DSM 12858 ATCC BAA-502 BOR-Y

NCBI tax ID(s) 1123260 253256

Special Collections DSMZ

Links

Soehngenia saccharolytica BOR-Y is an anaerobe, mesophilic prokaryote that was isolated from sludge from anaerobic wastewater treatment plant.

anaerobe mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 127869

ATCC BAA-502,DSM 12858

@ref 20215

Last LPSN update 2025-12-16 09:51:14

Domain Bacillati

Phylum Bacillota

Class Clostridia

Order Tissierellales

Family Tissierellaceae

Genus Soehngenia

Species Soehngenia saccharolytica

Full scientific name Soehngenia saccharolytica Parshina et al. 2003

Morphology

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
4848	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

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
4848	positive	growth	30	mesophilic

Physiology and metabolism

Oxygen tolerance

4848

Oxygen toleranceanaerobe

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Engineered	#Waste	#Wastewater
#Engineered	#Waste	#Water treatment plant
#Environmental	#Terrestrial	#Mud (Sludge)
#Condition	#Anoxic (anaerobic)	-

Isolation

@ref	Sample type	Country	Country ISO 3 Code	Continent
4848	sludge from anaerobic wastewater treatment plant	Netherlands	NLD	Europe

Taxonmaps

69479

Global distribution of 16S sequence GQ461828 (>99% sequence identity) for Soehngenia saccharolytica from Microbeatlas

Aquatic Samples	272
Soil Samples	68
Animal Samples	24
Plant Samples	5
Total Samples	369

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
4848	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	Soehngenia saccharolytica DSM 12858	complete			2571042347	1123260	84.61
66792	ASM504834v1 assembly for Soehngenia saccharolytica BOR-Y	contig	GCA_005048345	253256.4	2890253224	253256

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
20218	Soehngenia saccharolytica strain DSM 12858 16S ribosomal RNA gene, partial sequence	GQ461828	1499		253256
4848	Soehngenia saccharolytica 16S ribosomal RNA gene, partial sequence	AY353956	1494		253256

GC content

4848

GC-content (mol%)42

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Soehngenia saccharolytica BOR-Y
NCBI: GCA_005048345

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	yes	76.50	no
125439	motility	BacteriaNetⓘ	yes	70.00	no
125439	gram_stain	BacteriaNetⓘ	variable	80.90	no
125439	oxygen_tolerance	BacteriaNetⓘ	anaerobe	83.80	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Soehngenia saccharolytica gen. nov., sp. nov. and Clostridium amygdalinum sp. nov., two novel anaerobic, benzaldehyde-converting bacteria.	Parshina SN, Kleerebezem R, Sanz JL, Lettinga G, Nozhevnikova AN, Kostrikina NA, Lysenko AM, Stams AJ	Int J Syst Evol Microbiol	10.1099/ijs.0.02668-0	2003
Phylogeny	Soehngenia longivitae sp. nov., a Fermenting Bacterium Isolated from a Petroleum Reservoir in Azerbaijan, and Emended Description of the Genus Soehngenia.	Nazina TN, Bidzhieva SK, Grouzdev DS, Sokolova DS, Tourova TP, Parshina SN, Avtukh AN, Poltaraus AB, Talybly AK	Microorganisms	10.3390/microorganisms8121967	2020
Phylogeny	Gudongella oleilytica gen. nov., sp. nov., an aerotorelant bacterium isolated from Shengli oilfield and validation of family Tissierellaceae.	Wu K, Dai L, Tu B, Zhang X, Zhang H, Deng Y, Lawson PA, Cheng L	Int J Syst Evol Microbiol	10.1099/ijsem.0.003854	2020

References

#4848	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 12858
#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 .
#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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Soehngenia saccharolytica (DSM 12858, ATCC BAA-502, BOR-Y)

Name and taxonomic classification

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_005048345

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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