Name: Succinispira mobilis 19gly1
Creator: BacDive
License: https://creativecommons.org/licenses/by/4.0/

Strain identifier

BacDive ID: 105

Type strain:

Species: Succinispira mobilis

Strain Designation: 19gly1

Culture col. no.: DSM 6222

Strain history: <- P.H. Janssen, 19gly1 (Campylobacter sp.)

NCBI tax ID(s): 1069080 (strain), 78120 (species)

SI-ID 46257

ATCC 700845, DSM 6222

Special Collections

Section

When using BacDive for research please cite our paper

Succinispira mobilis 19gly1 is an anaerobe, chemoorganotroph, mesophilic bacterium that was isolated from anaerobic solids digester.

Gram-negative
motile
vibrio-shaped
anaerobe
chemoorganotroph
mesophilic
16S sequence
Bacteria
genome sequence

Information on the name and the taxonomic classification. Name and taxonomic classification

	Last LPSN update	09-12-2024 (DD-MM-YYYY)
	Domain	*Bacteria*
	Phylum	*Bacillota*
	Class	*Negativicutes*
	Order	*Acidaminococcales*
	Family	*Acidaminococcaceae*
	Genus	*Succinispira*
	Species	**Succinispira mobilis**
	Full Scientific Name (LPSN)	Succinispira mobilis Janssen and O'Farrell 1999

Information on morphological and physiological properties Morphology

[Ref.: #22967]	Gram stain	negative

[Ref.: #22967]	Cell length	2.0-10.0 µm

[Ref.: #22967]	Cell width	0.5 µm

[Ref.: #22967]	Cell shape	vibrio-shaped

[Ref.: #22967]	Motility	yes

[Ref.: #22967]

Colony color

white

Information on culture and growth conditions Culture and growth conditions

[Ref.: #2544]

Culture medium

CLOSTRIDIUM (GV) MEDIUM (DSMZ Medium 500)

[Ref.: #2544]

Culture medium growth

[Ref.: #2544]

Culture medium link

Medium recipe at MediaDive

[Ref.: #2544]

Culture medium composition

expand / minimize

	Kind of temperature		Temperature
[Ref.: #2544]		growth	35 °C
[Ref.: #22967]	negative	growth	40.0 °C
[Ref.: #22967]		optimum	37.0 °C

	pH	Kind of pH		pH
[Ref.: #22967]			optimum	7.4-7.7
[Ref.: #22967]			growth	6.7-8.5

Information on physiology and metabolism Physiology and metabolism

[Ref.: #2544]	Oxygen tolerance	anaerobe
[Ref.: #22967]	Oxygen tolerance	obligate anaerobe
[Ref.: #125438]	Oxygen tolerance	anaerobe Confidence in %91.721
[Ref.: #125439]	Oxygen tolerance	anaerobe Confidence in %98.5

[Ref.: #22967]

Nutrition type

chemoorganotroph

[Ref.: #22967]

Ability of spore formation

	Salt	Tested relation		Salt conc.
[Ref.: #22967]	NaCl		growth	0.2	g/L
[Ref.: #22967]	NaCl		growth	19.0	g/L
[Ref.: #22967]	NaCl	no	growth	24.0	g/L

	Metabolite	Utilization activity	Kind of utilization tested
[Ref.: #22967]	aspartate ChEBI	+	fermentation
[Ref.: #22967]	citrate ChEBI	+	fermentation
[Ref.: #22967]	elemental sulfur ChEBI	-	electron acceptor
[Ref.: #22967]	esculin ChEBI	-	hydrolysis
[Ref.: #22967]	fumarate ChEBI	-	electron acceptor
[Ref.: #22967]	fumarate ChEBI	+	fermentation
[Ref.: #22967]	L-glutamate ChEBI	+	fermentation
[Ref.: #22967]	maleic acid ChEBI	+	fermentation
[Ref.: #22967]	nitrate ChEBI	-	electron acceptor
[Ref.: #22967]	oxaloacetate ChEBI	+	fermentation
[Ref.: #22967]	pyruvate ChEBI	+	fermentation
[Ref.: #22967]	succinate ChEBI	+	fermentation
[Ref.: #22967]	sulfate ChEBI	-	electron acceptor
[Ref.: #22967]	thiosulfate ChEBI	-	electron acceptor
[Ref.: #22967]	urea ChEBI	-	hydrolysis
	Only first 10 entries are displayed. Click here to see all.

	Metabolite production	Metabolite	Production
[Ref.: #22967]		cytochrome ChEBI	no
[Ref.: #22967]		indole ChEBI	no

	Enzymes	Enzyme	Enzyme activity	EC number
[Ref.: #22967]		hydrogenase	+	1.12.99.6

Information on isolation source, the sampling and environmental conditions Isolation, sampling and environmental information

[Ref.: #2544]	Sample type/isolated from	anaerobic solids digester
[Ref.: #2544]	Geographic location (country and/or sea, region)	Hamilton
[Ref.: #2544]	Country	New Zealand
[Ref.: #2544]	Country ISO 3 Code	NZL
[Ref.: #2544]	Continent	Australia and Oceania

[Ref.: #22967]	Sample type/isolated from	mixed culture growing on glycolate, originally obtained from a pond receiving effluent from an anaerobic solids digester
* marker position based on {}

Isolation sources categories

#Engineered	#Biodegradation	#Anaerobic digestor
#Engineered	#Laboratory	#Lab enrichment
#Environmental	#Aquatic	#Pond (small)
#Condition	#Anoxic (anaerobic)	-

What are isolation sources categories?

[Ref.: #69479]

Global distribution of 16S sequence AJ006980 (>99% sequence identity) for Succinispira mobilis subclade from Microbeatlas

Aquatic Samples	5
Soil Samples
Animal Samples	3
Plant Samples
Total Samples	8

Information on possible application of the strain and its possible interaction with e.g. potential hosts Safety information

[Ref.: #2544]

Biosafety level

Risk group (German classification)
According to TRBA 466

Information on genomic background e.g. entries in nucleic sequence databass Sequence information

16S Sequence information:

	Sequence accession description	Seq. accession number	Sequence length (bp)	Sequence database	Associated NCBI tax ID
[Ref.: #2544]	Succinispira mobilis 16S rRNA gene	AJ006980	1495	GenBank ENA	78120 tax ID

Genome sequence information:

	Sequence accession description	Seq. accession number	Assembly level	Sequence database	Associated NCBI tax ID
[Ref.: #66792]	Succinispira mobilis DSM 6222	GCA_000384135	scaffold	GenBank ENA	1069080 tax ID	*
[Ref.: #66792]	Succinispira mobilis DSM 6222	1069080.9	wgs	PATRIC	1069080 tax ID	*
[Ref.: #66792]	Succinispira mobilis DSM 6222	2517093043	draft	JGI IMG/M	1069080 tax ID	*

[Ref.: #2544]	GC-content	36.0 mol%
[Ref.: #22967]	GC-content	36 mol%	thermal denaturation, midpoint method (Tm)

Data predicted using genome information as a basis Genome-based predictions

	Model	Trait	Prediction	Confidence in %	In training data
	Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Succinispira mobilis DSM 6222 DSM 6222 NCBI: GCA_000384135.1
[Ref.: #125438]	gram-positive	gram-positiveⓘ	no	87.627	yes
[Ref.: #125438]	anaerobic	anaerobicⓘ	yes	91.721	yes
[Ref.: #125438]	aerobic	aerobicⓘ	no	95.664	yes
[Ref.: #125438]	spore-forming	spore-formingⓘ	no	69.745	yes
[Ref.: #125438]	thermophile	thermophilicⓘ	no	81.896	no
[Ref.: #125438]	motile2+	flagellatedⓘ	yes	67.252	no

	Model	Trait	Prediction	Confidence in %
	Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Succinispira mobilis DSM 6222 NCBI: GCA_000384135
[Ref.: #125439]	BacteriaNet	spore_formationⓘ	no	53.6
[Ref.: #125439]	BacteriaNet	motilityⓘ	yes	54.1
[Ref.: #125439]	BacteriaNet	gram_stainⓘ	positive	75.6
[Ref.: #125439]	BacteriaNet	oxygen_toleranceⓘ	anaerobe	98.5

Availability in culture collections External links

[Ref.: #2544]

Culture collection no.

DSM 6222

[Ref.: #69788]

SI-ID 46257

Literature:

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Succinispira mobilis gen. nov., sp. nov., a succinate-decarboxylating anaerobic bacterium.	Janssen PH, O'Farrell KA	Int J Syst Bacteriol	10.1099/00207713-49-3-1009	1999	*

References

#2544

Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 6222

#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 )

#22967

Peter H. Janssen,Katrina A. O'Farrell: Succinispira mobilis gen. nov., sp. nov., a succinate-decarboxylating anaerobic bacterium. IJSEM 49: 1009 - 1013 1999 ( DOI 10.1099/00207713-49-3-1009 , PubMed 10425757 )

#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 .

#69788

Reimer, L.C., Lissin, A.,Schober, I., Witte,J.F., Podstawka, A., Lüken, H., Bunk, B.,Overmann, J.: StrainInfo: A central database for resolving microbial strain identifiers . ( DOI 10.60712/SI-ID46257.1 )

#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 .

* These data were automatically processed and therefore are not curated

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Succinispira mobilis DSM 6222 DSM 6222

Succinispira mobilis DSM 6222

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