Strain identifier
BacDive ID: 170184
Type strain: 
Species: Sinomicrobium kalidii
Strain Designation: HD2P242
NCBI tax ID(s): 2900738 (species)
version 9.3 (current version)
General
@ref: 20215
BacDive-ID: 170184
keywords: genome sequence, 16S sequence, Bacteria
description: Sinomicrobium kalidii HD2P242 is a bacterium of the family Flavobacteriaceae.
NCBI tax id
- NCBI tax id: 2900738
- Matching level: species
doi: 10.13145/bacdive170184.20250331.9.3
Name and taxonomic classification
LPSN
- @ref: 20215
- description: domain/bacteria
- keyword: phylum/bacteroidota
- domain: Bacteria
- phylum: Bacteroidota
- class: Flavobacteriia
- order: Flavobacteriales
- family: Flavobacteriaceae
- genus: Sinomicrobium
- species: Sinomicrobium kalidii
- full scientific name: Sinomicrobium kalidii Li et al. 2022
@ref: 20215
domain: Bacteria
phylum: Bacteroidota
class: Flavobacteriia
order: Flavobacteriales
family: Flavobacteriaceae
genus: Sinomicrobium
species: Sinomicrobium kalidii
full scientific name: Sinomicrobium kalidii Li et al. 2022
strain designation: HD2P242
type strain: yes
Morphology
cell morphology
| @ref | gram stain | confidence | motility |
|---|---|---|---|
| 125439 | negative | 98.2 | |
| 125438 | negative | 96.311 | |
| 125438 | 95.5 | no |
Physiology and metabolism
oxygen tolerance
- @ref: 125439
- oxygen tolerance: obligate anaerobe
- confidence: 93.6
spore formation
| @ref | spore formation | confidence |
|---|---|---|
| 125438 | no | 90 |
| 125439 | no | 92.7 |
Sequence information
16S sequences
- @ref: 20215
- description: Sinomicrobium kalidii 16S ribosomal RNA gene, partial sequence
- accession: OL742713
- length: 1498
- database: nuccore
- NCBI tax ID: 2900738
Genome sequences
- @ref: 66792
- description: Sinomicrobium kalidii HD2P242
- accession: GCA_021183825
- assembly level: complete
- database: ncbi
- NCBI tax ID: 2900738
Genome-based predictions
predictions
| @ref | model | trait | description | prediction | confidence | training_data |
|---|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positive | Positive reaction to Gram-staining | no | 96.311 | no |
| 125438 | anaerobic | anaerobic | Ability to grow under anoxygenic conditions (including facultative anaerobes) | no | 96.299 | no |
| 125438 | aerobic | aerobic | Ability to grow under oxygenic conditions (including facultative aerobes) | yes | 82.357 | no |
| 125438 | spore-forming | spore-forming | Ability to form endo- or exospores | no | 90 | no |
| 125438 | thermophile | thermophilic | Ability to grow at temperatures above or equal to 45°C | no | 98.434 | no |
| 125438 | motile2+ | flagellated | Ability to perform flagellated movement | no | 95.5 | no |
| 125439 | BacteriaNet | spore_formation | Ability to form endo- or exospores | no | 92.7 | |
| 125439 | BacteriaNet | motility | Ability to perform movement | no | 60.9 | |
| 125439 | BacteriaNet | gram_stain | Reaction to gram-staining | negative | 98.2 | |
| 125439 | BacteriaNet | oxygen_tolerance | Oxygenic conditions needed for growth | obligate anaerobe | 93.6 |
External links
@ref: 20215
culture collection no.: CGMCC 1.19025, KCTC 92136
literature
- topic: Phylogeny
- Pubmed-ID: 35819407
- title: Sinomicrobium kalidii sp. nov., an indole-3-acetic acid-producing endophyte from a shoot of halophyte Kalidium cuspidatum.
- authors: Li LF, Xu L, Li WH, Sun JQ
- journal: Int J Syst Evol Microbiol
- DOI: 10.1099/ijsem.0.005452
- year: 2022
- mesh: Bacterial Typing Techniques, Base Composition, *Chenopodiaceae, DNA, Bacterial/genetics, Endophytes/genetics, Fatty Acids/chemistry, Indoleacetic Acids, Phylogeny, RNA, Ribosomal, 16S/genetics, *Salt-Tolerant Plants, Sequence Analysis, DNA, Soil Microbiology
- topic2: Transcriptome
Reference
| @id | authors | title | doi/url |
|---|---|---|---|
| 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 | 10.1099/ijsem.0.004332 |
| 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) | https://diaspora-project.de/progress.html#genomes |
| 125438 | Julia Koblitz, Lorenz Christian Reimer, Rüdiger Pukall, Jörg Overmann | Predicting bacterial phenotypic traits through improved machine learning using high-quality, curated datasets | 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 | https://github.com/GenomeNet/deepG |