Cite this strain

Zymomonas mobilis (DSM 12497, CU 1 Rif 2)

Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 132837

Type strain

Strain Designation CU 1 Rif 2

Culture col. no. DSM 12497 CU 1 Rif 2

NCBI tax ID(s) 542

Special Collections DSMZ

Links

Name and taxonomic classification

Zymomonas mobilis CU 1 Rif 2 is a mesophilic, Gram-negative bacterium of the family Zymomonadaceae.

Gram-negative mesophilic genome sequence Bacteria

SI-ID 404339

DSM 12497

Last LPSN update 2024-12-09 10:49:12

Domain Bacteria

Phylum Pseudomonadota

Class Alphaproteobacteria

Order Sphingomonadales

Family Zymomonadaceae

Genus Zymomonas

Species Zymomonas mobilis

Full scientific name Zymomonas mobilis corrig. (Lindner 1928) Kluyver and van Niel 1936 (Approved Lists 1980)

Synonyms (2)

"Thermobacterium mobile"
Zymomonas mobile

BacDive ID	Other strains from **Zymomonas mobilis** (7)	Type strain
14289	Z. mobilis pZM01 to pZM06, DSM 424, ATCC 10988, NCIB ... (type strain)
14288	Z. mobilis DSM 473, ATCC 29501, NCIB 8227, CIP 102539, ...
100099	Z. mobilis STI09675(IMET), IFO 14523, INA 2240, IMET ...
131031	Z. mobilis DSM 14017, PROIMI A1
132834	Z. mobilis UVS 51, DSM 12494
132835	Z. mobilis CU 1, DSM 12495
132836	Z. mobilis DSM 12496, CCUG 17860, CIP 102538, JCM 20722, ...

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	negative	98.6
125438	negative	97.048

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
24625	ZYMOMONAS MEDIUM (DSMZ Medium 10)		Medium recipe at MediaDive	Name: ZYMOMONAS MEDIUM (DSMZ Medium 10) Composition: Glucose 20.0 g/l Agar 15.0 g/l Yeast extract 10.0 g/l Bacto peptone 10.0 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
24625	positive	growth	28	mesophilic

Physiology and metabolism

Spore formation

@ref	Spore formation	Confidence
125439		99.4
125438		91.852

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	97.4

Isolation, sampling and environmental information

Safety information

Risk assessment

@ref	Biosafety level	Biosafety level comment
24625	1	Risk group (German classification)

Sequence information

Genome sequences

@ref	Description	Accession	Assembly level	Database	NCBI tax ID
66792	Zymomonas mobilis strain DSM 12497	542.24	wgs	PATRIC	542
66792	Zymomonas mobilis mobilis DSM 12497	2811994957	draft	JGI IMG/M	542

Genome-based predictions

Predictions

Predictions from Diaspora project based on:
Zymomonas mobilis strain DSM 12497
PATRIC: 542.24

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	99.40	no
125439	motility	BacteriaNetⓘ	yes	50.20	no
125439	gram_stain	BacteriaNetⓘ	negative	98.60	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	97.40	no

Predictions from Diaspora project based on:
Zymomonas mobilis strain DSM 12497
PATRIC: 542.24

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	97.05	no
125438	anaerobic	anaerobicⓘ	no	57.90	no
125438	spore-forming	spore-formingⓘ	no	91.85	no
125438	aerobic	aerobicⓘ	no	73.11	no
125438	thermophilic	thermophileⓘ	no	93.66	yes
125438	flagellated	motile2+ⓘ	yes	61.30	no

External links

Straininfo Link

@ref	Straininfo	Culture collections
91126	404339	DSM 12497

Culture collection no.

Culture collection no.
DSM 12497
CU 1 Rif 2

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 )
#24625	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 12497
#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) .
#91126	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-ID404339.1 )
#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 .

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