Strain identifier
BacDive ID: 167684
Type strain:
Species: Geomonas terrae
Strain Designation: Red111
NCBI tax ID(s): 2562681 (species)
version 9.3 (current version)
General
@ref: 20215
BacDive-ID: 167684
keywords: genome sequence, 16S sequence, Bacteria, Gram-negative
description: Geomonas terrae Red111 is a Gram-negative bacterium of the family Geobacteraceae.
NCBI tax id
- NCBI tax id: 2562681
- Matching level: species
doi: 10.13145/bacdive167684.20250331.9.3
Name and taxonomic classification
LPSN
- @ref: 20215
- description: domain/bacteria
- keyword: phylum/pseudomonadota
- domain: Bacteria
- phylum: Pseudomonadota
- class: Deltaproteobacteria
- order: Desulfuromonadales
- family: Geobacteraceae
- genus: Geomonas
- species: Geomonas terrae
- full scientific name: Geomonas terrae Xu et al. 2020
@ref: 20215
domain: Bacteria
phylum: Pseudomonadota
class: Deltaproteobacteria
order: Desulfuromonadales
family: Geobacteraceae
genus: Geomonas
species: Geomonas terrae
full scientific name: Geomonas terrae Xu et al. 2020
strain designation: Red111
type strain: yes
Morphology
cell morphology
@ref | gram stain | confidence |
---|---|---|
125438 | negative | 96.327 |
125439 | negative | 98.5 |
Physiology and metabolism
oxygen tolerance
- @ref: 125439
- oxygen tolerance: anaerobe
- confidence: 98.7
spore formation
- @ref: 125439
- spore formation: no
- confidence: 98.7
Sequence information
16S sequences
- @ref: 20215
- description: Geomonas terrae strain Red111 16S ribosomal RNA gene, partial sequence
- accession: MH915556
- length: 1426
- database: nuccore
- NCBI tax ID: 2562681
Genome sequences
- @ref: 66792
- description: Geomonas terrae Red111
- accession: GCA_004791675
- assembly level: scaffold
- database: ncbi
- NCBI tax ID: 2562681
Genome-based predictions
predictions
@ref | model | trait | description | prediction | confidence | training_data |
---|---|---|---|---|---|---|
125438 | gram-positive | gram-positive | Positive reaction to Gram-staining | no | 96.327 | no |
125438 | anaerobic | anaerobic | Ability to grow under anoxygenic conditions (including facultative anaerobes) | yes | 70.089 | no |
125438 | aerobic | aerobic | Ability to grow under oxygenic conditions (including facultative aerobes) | no | 76.495 | no |
125438 | spore-forming | spore-forming | Ability to form endo- or exospores | no | 79.363 | no |
125438 | thermophile | thermophilic | Ability to grow at temperatures above or equal to 45°C | no | 91.695 | no |
125438 | motile2+ | flagellated | Ability to perform flagellated movement | yes | 70.635 | no |
125439 | BacteriaNet | spore_formation | Ability to form endo- or exospores | no | 98.7 | |
125439 | BacteriaNet | motility | Ability to perform movement | yes | 56.1 | |
125439 | BacteriaNet | gram_stain | Reaction to gram-staining | negative | 98.5 | |
125439 | BacteriaNet | oxygen_tolerance | Oxygenic conditions needed for growth | anaerobe | 98.7 |
External links
@ref: 20215
culture collection no.: NBRC 114026, MCCC 1K04029
literature
topic | Pubmed-ID | title | authors | journal | DOI | year |
---|---|---|---|---|---|---|
Phylogeny | 31608033 | Geomonas oryzae gen. nov., sp. nov., Geomonas edaphica sp. nov., Geomonas ferrireducens sp. nov., Geomonas terrae sp. nov., Four Ferric-Reducing Bacteria Isolated From Paddy Soil, and Reclassification of Three Species of the Genus Geobacter as Members of the Genus Geomonas gen. nov. | Xu Z, Masuda Y, Itoh H, Ushijima N, Shiratori Y, Senoo K | Front Microbiol | 10.3389/fmicb.2019.02201 | 2019 |
Phylogeny | 35197944 | Genome Analysis and Description of Three Novel Diazotrophs Geomonas Species Isolated From Paddy Soils. | Liu GH, Yang S, Tang R, Xie CJ, Zhou SG | Front Microbiol | 10.3389/fmicb.2021.801462 | 2022 |
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 |