Strain identifier
BacDive ID: 2657
Type strain: ![]()
Species: Lacrimispora saccharolytica
Strain Designation: WM1
Strain history: <- W. D. Murray, National Research Council, Ottawa, Canada; WM1 <- W. D. Murray; {1980}
NCBI tax ID(s): 84030 (species)
General
@ref: 1118
BacDive-ID: 2657
DSM-Number: 2544
keywords: genome sequence, 16S sequence, Bacteria, anaerobe, mesophilic
description: Lacrimispora saccharolytica WM1 is an anaerobe, mesophilic bacterium that was isolated from sewage sludge.
NCBI tax id
- NCBI tax id: 84030
- Matching level: species
strain history
- @ref: 1118
- history: <- W. D. Murray, National Research Council, Ottawa, Canada; WM1 <- W. D. Murray; {1980}
doi: 10.13145/bacdive2657.20250331.9.3
Name and taxonomic classification
LPSN
- @ref: 20215
- description: domain/bacteria
- keyword: phylum/bacillota
- domain: Bacteria
- phylum: Bacillota
- class: Clostridia
- order: Eubacteriales
- family: Lachnospiraceae
- genus: Lacrimispora
- species: Lacrimispora saccharolytica
- full scientific name: Lacrimispora saccharolytica (Murray et al. 1982) Haas and Blanchard 2020
synonyms
- @ref: 20215
- synonym: Clostridium saccharolyticum
@ref: 1118
domain: Bacteria
phylum: Firmicutes
class: Clostridia
order: Clostridiales
family: Lachnospiraceae
genus: Lacrimispora
species: Lacrimispora saccharolytica
full scientific name: Lacrimispora saccharolytica (Murray et al. 1982) Haas and Blanchard 2020
strain designation: WM1
type strain: yes
Culture and growth conditions
culture medium
| @ref | name | growth | link | composition |
|---|---|---|---|---|
| 1118 | PY + X MEDIUM (N2/CO2) (DSMZ Medium 104c) | yes | https://www.dsmz.de/microorganisms/medium/pdf/DSMZ_Medium104c.pdf | |
| 1118 | CMC MEDIUM (N2/CO2) (DSMZ Medium 110a) | yes | https://mediadive.dsmz.de/medium/110a | Name: CMC MEDIUM (N2/CO2) (DSMZ Medium 110a) Composition: Ground beef 500.0 g/l Casitone 30.0 g/l Yeast extract 5.0 g/l K2HPO4 5.0 g/l D-Glucose 4.0 g/l Na2CO3 1.5 g/l Cellobiose 1.0 g/l Maltose 1.0 g/l Starch 1.0 g/l L-Cysteine HCl x H2O 0.5 g/l Sodium resazurin 0.0005 g/l NaOH Distilled water |
culture temp
- @ref: 1118
- growth: positive
- type: growth
- temperature: 37
Physiology and metabolism
oxygen tolerance
| @ref | oxygen tolerance | confidence |
|---|---|---|
| 1118 | anaerobe | |
| 125439 | anaerobe | 98.1 |
spore formation
- @ref: 125439
- spore formation: yes
- confidence: 91.8
Isolation, sampling and environmental information
isolation
- @ref: 1118
- sample type: sewage sludge
- geographic location: Ottawa
- country: Canada
- origin.country: CAN
- continent: North America
isolation source categories
- Cat1: #Engineered
- Cat2: #Waste
- Cat3: #Sewage sludge
taxonmaps
- @ref: 69479
- File name: preview.99_2779.png
- url: https://microbeatlas.org/index.html?action=taxon&taxon_id=90_16;96_286;97_316;98_1698;99_2779&stattab=map
- Last taxonomy: Lacrimispora saccharolytica
- 16S sequence: NR_102852
- Sequence Identity:
- Total samples: 1764
- soil counts: 348
- aquatic counts: 397
- animal counts: 834
- plant counts: 185
Safety information
risk assessment
- @ref: 1118
- biosafety level: 1
- biosafety level comment: Risk group (German classification)
Sequence information
16S sequences
| @ref | description | accession | length | database | NCBI tax ID |
|---|---|---|---|---|---|
| 1118 | Lacrimispora saccharolytica strain WM1 16S ribosomal RNA, partial sequence | NR_102852 | 1519 | nuccore | 84030 |
| 124043 | Clostridium saccharolyticum 16S rRNA gene, partial, strain DSM 2544 | Y18185 | 1499 | nuccore | 610130 |
Genome sequences
- @ref: 66792
- description: Lachnoclostridium saccharolyticum WM1, DSM 2544
- accession: 648028018
- assembly level: complete
- database: img
- NCBI tax ID: 610130
GC content
- @ref: 1118
- GC-content: 45.0
- method: sequence analysis
Genome-based predictions
predictions
| @ref | model | trait | description | prediction | confidence |
|---|---|---|---|---|---|
| 125439 | BacteriaNet | spore_formation | Ability to form endo- or exospores | yes | 91.8 |
| 125439 | BacteriaNet | motility | Ability to perform movement | yes | 87 |
| 125439 | BacteriaNet | gram_stain | Reaction to gram-staining | variable | 80.3 |
| 125439 | BacteriaNet | oxygen_tolerance | Oxygenic conditions needed for growth | anaerobe | 98.1 |
External links
@ref: 1118
culture collection no.: DSM 2544, ATCC 35040, NRC 2533
straininfo link
- @ref: 72186
- straininfo: 125844
Reference
| @id | authors | catalogue | doi/url | title | journal | pubmed |
|---|---|---|---|---|---|---|
| 1118 | Curators of the DSMZ | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH (DSM 2544) | https://www.dsmz.de/collection/catalogue/details/culture/DSM-2544 | |||
| 20215 | Parte, A.C., Sardà Carbasse, J., Meier-Kolthoff, J.P., Reimer, L.C. and Göker, M. | 10.1099/ijsem.0.004332 | List of Prokaryotic names with Standing in Nomenclature (LPSN) moves to the DSMZ | |||
| 66792 | Julia Koblitz, Joaquim Sardà, Lorenz Christian Reimer, Boyke Bunk, Jörg Overmann | https://diaspora-project.de/progress.html#genomes | Automatically annotated for the DiASPora project (Digital Approaches for the Synthesis of Poorly Accessible Biodiversity Information) | |||
| 66794 | Antje Chang, Lisa Jeske, Sandra Ulbrich, Julia Hofmann, Julia Koblitz, Ida Schomburg, Meina Neumann-Schaal, Dieter Jahn, Dietmar Schomburg | 10.1093/nar/gkaa1025 | BRENDA, the ELIXIR core data resource in 2021: new developments and updates | Nucleic Acids Res. 49: D498-D508 2020 | 33211880 | |
| 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. | https://microbeatlas.org/ | MicrobeAtlas 1.0 beta | |||
| 72186 | Reimer, L.C., Lissin, A.,Schober, I., Witte,J.F., Podstawka, A., Lüken, H., Bunk, B.,Overmann, J. | 10.60712/SI-ID125844.1 | StrainInfo: A central database for resolving microbial strain identifiers | |||
| 124043 | Isabel Schober, Julia Koblitz | Data extracted from sequence databases, automatically matched based on designation and taxonomy | ||||
| 125439 | Philipp Münch, René Mreches, Martin Binder, Hüseyin Anil Gündüz, Xiao-Yin To, Alice McHardy | https://github.com/GenomeNet/deepG | deepG: Deep Learning for Genome Sequence Data. R package version 0.3.1 |