Strain identifier
BacDive ID: 1547
Type strain: ![]()
Species: Aquisalibacillus elongatus
Strain Designation: SH4s
Strain history: <- A. Ventosa; SH4s
NCBI tax ID(s): 485577 (species)
General
@ref: 7390
BacDive-ID: 1547
DSM-Number: 18090
keywords: genome sequence, 16S sequence, Bacteria, aerobe, mesophilic, Gram-positive, rod-shaped
description: Aquisalibacillus elongatus SH4s is an aerobe, mesophilic, Gram-positive bacterium that was isolated from saline lake water.
NCBI tax id
- NCBI tax id: 485577
- Matching level: species
strain history
- @ref: 7390
- history: <- A. Ventosa; SH4s
doi: 10.13145/bacdive1547.20250331.9.3
Name and taxonomic classification
LPSN
- @ref: 20215
- description: domain/bacteria
- keyword: phylum/bacillota
- domain: Bacteria
- phylum: Bacillota
- class: Bacilli
- order: Caryophanales
- family: Bacillaceae
- genus: Aquisalibacillus
- species: Aquisalibacillus elongatus
- full scientific name: Aquisalibacillus elongatus Márquez et al. 2008
@ref: 7390
domain: Bacteria
phylum: Firmicutes
class: Bacilli
order: Bacillales
family: Bacillaceae
genus: Aquisalibacillus
species: Aquisalibacillus elongatus
full scientific name: Aquisalibacillus elongatus Márquez et al. 2008
strain designation: SH4s
type strain: yes
Morphology
cell morphology
- @ref: 32629
- gram stain: positive
- cell length: 02-10 µm
- cell width: 0.5 µm
- cell shape: rod-shaped
- motility: no
pigmentation
- @ref: 32629
- production: yes
Culture and growth conditions
culture medium
- @ref: 7390
- name: 10% MH MEDIUM (DSMZ Medium 593)
- growth: yes
- link: https://mediadive.dsmz.de/medium/593
- composition: Name: 10% MH MEDIUM (DSMZ Medium 593) Composition: NaCl 81.0 g/l Agar 15.0 g/l Yeast extract 10.0 g/l MgSO4 9.6 g/l MgCl2 7.0 g/l Proteose peptone no. 3 5.0 g/l KCl 2.0 g/l Glucose 1.0 g/l CaCl2 0.36 g/l NaHCO3 0.06 g/l NaBr 0.026 g/l Distilled water
culture temp
| @ref | growth | type | temperature |
|---|---|---|---|
| 7390 | positive | growth | 30 |
| 32629 | positive | growth | 20-55 |
| 32629 | positive | optimum | 37 |
culture pH
| @ref | ability | type | pH | PH range |
|---|---|---|---|---|
| 32629 | positive | growth | 07-10 | alkaliphile |
| 32629 | positive | optimum | 7.5 |
Physiology and metabolism
oxygen tolerance
- @ref: 32629
- oxygen tolerance: aerobe
spore formation
- @ref: 32629
- spore formation: no
halophily
| @ref | salt | growth | tested relation | concentration |
|---|---|---|---|---|
| 32629 | NaCl | positive | growth | 03-20 % |
| 32629 | NaCl | positive | optimum | 10 % |
murein
- @ref: 7390
- murein short key: A21.04
- type: A4ß L-Orn-D-Asp
observation
- @ref: 32629
- observation: aggregates in chains
metabolite utilization
| @ref | Chebi-ID | metabolite | utilization activity | kind of utilization tested |
|---|---|---|---|---|
| 32629 | 30089 | acetate | + | carbon source |
| 32629 | 28885 | butanol | + | carbon source |
| 32629 | 16236 | ethanol | + | carbon source |
| 32629 | 33984 | fucose | + | carbon source |
| 32629 | 16634 | raffinose | + | carbon source |
| 32629 | 30911 | sorbitol | + | carbon source |
| 32629 | 31011 | valerate | + | carbon source |
| 32629 | 17632 | nitrate | + | reduction |
enzymes
- @ref: 32629
- value: catalase
- activity: +
- ec: 1.11.1.6
Isolation, sampling and environmental information
isolation
- @ref: 7390
- sample type: saline lake water
- geographic location: Lake Shangmatala, Inner Mongolia
- country: China
- origin.country: CHN
- continent: Asia
isolation source categories
| Cat1 | Cat2 | Cat3 |
|---|---|---|
| #Environmental | #Aquatic | #Lake (large) |
| #Condition | #Saline |
Safety information
risk assessment
- @ref: 7390
- biosafety level: 1
- biosafety level comment: Risk group (German classification)
Sequence information
16S sequences
- @ref: 7390
- description: Aquisalibacillus elongatus 16S rRNA gene, strain SH4s
- accession: AM911047
- length: 1484
- database: nuccore
- NCBI tax ID: 485577
Genome sequences
| @ref | description | accession | assembly level | database | NCBI tax ID |
|---|---|---|---|---|---|
| 66792 | Aquisalibacillus elongatus DSM 18090 | GCA_003843875 | contig | ncbi | 485577 |
| 66792 | Aquisalibacillus elongatus strain DSM 18090 | 485577.3 | wgs | patric | 485577 |
| 66792 | Aquisalibacillus elongatus DSM 18090 | 2786546167 | draft | img | 485577 |
GC content
- @ref: 7390
- GC-content: 45.9
Genome-based predictions
predictions
| @ref | model | trait | description | prediction | confidence | training_data |
|---|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positive | Positive reaction to Gram-staining | yes | 80.304 | yes |
| 125438 | anaerobic | anaerobic | Ability to grow under anoxygenic conditions (including facultative anaerobes) | no | 97.663 | yes |
| 125438 | spore-forming | spore-forming | Ability to form endo- or exospores | yes | 63.915 | yes |
| 125438 | aerobic | aerobic | Ability to grow under oxygenic conditions (including facultative aerobes) | yes | 87.292 | yes |
| 125438 | thermophile | thermophilic | Ability to grow at temperatures above or equal to 45°C | no | 93.129 | yes |
| 125438 | motile2+ | flagellated | Ability to perform flagellated movement | yes | 74.955 | no |
| 125439 | BacteriaNet | spore_formation | Ability to form endo- or exospores | no | 80.6 | |
| 125439 | BacteriaNet | motility | Ability to perform movement | no | 63.3 | |
| 125439 | BacteriaNet | gram_stain | Reaction to gram-staining | positive | 79.8 | |
| 125439 | BacteriaNet | oxygen_tolerance | Oxygenic conditions needed for growth | microaerophile | 89 |
External links
@ref: 7390
culture collection no.: DSM 18090, CCM 7366, CECT 7149
straininfo link
- @ref: 71192
- straininfo: 358797
literature
- topic: Phylogeny
- Pubmed-ID: 18676481
- title: Aquisalibacillus elongatus gen. nov., sp. nov., a moderately halophilic bacterium of the family Bacillaceae isolated from a saline lake.
- authors: Marquez MC, Carrasco IJ, Xue Y, Ma Y, Cowan DA, Jones BE, Grant WD, Ventosa A
- journal: Int J Syst Evol Microbiol
- DOI: 10.1099/ijs.0.65813-0
- year: 2008
- mesh: Bacillaceae/*classification/genetics/isolation & purification/physiology, Bacterial Typing Techniques, Base Composition, China, DNA, Bacterial/analysis, DNA, Ribosomal/analysis, Fatty Acids/analysis, Fresh Water/microbiology, Genes, rRNA, Molecular Sequence Data, Nucleic Acid Hybridization, Phenotype, Phylogeny, RNA, Ribosomal, 16S/genetics, Sequence Analysis, DNA, *Sodium Chloride, Species Specificity
- topic2: Genetics
Reference
| @id | authors | catalogue | doi/url | title | ID_cross_reference | pubmed | journal |
|---|---|---|---|---|---|---|---|
| 7390 | Curators of the DSMZ | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH (DSM 18090) | https://www.dsmz.de/collection/catalogue/details/culture/DSM-18090 | ||||
| 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 | ||||
| 32629 | Barberan A, Caceres Velazquez H, Jones S, Fierer N. | 10.1128/mSphere.00237-17 | Hiding in Plain Sight: Mining Bacterial Species Records for Phenotypic Trait Information | 28840 | 28776041 | ||
| 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 | 33211880 | Nucleic Acids Res. 49: D498-D508 2020 | ||
| 71192 | Reimer, L.C., Lissin, A.,Schober, I., Witte,J.F., Podstawka, A., Lüken, H., Bunk, B.,Overmann, J. | 10.60712/SI-ID358797.1 | StrainInfo: A central database for resolving microbial strain identifiers | ||||
| 125438 | Julia Koblitz, Lorenz Christian Reimer, Rüdiger Pukall, Jörg Overmann | 10.1101/2024.08.12.607695 | Predicting bacterial phenotypic traits through improved machine learning using high-quality, curated datasets | ||||
| 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 |