Anaerocolumna chitinilytica CTTW is a bacterium that was isolated from soil.
genome sequence 16S sequence Bacteria| @ref 20215 |
|
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| Domain Bacteria |
| Phylum Bacillota |
| Class Clostridia |
| Order Eubacteriales |
| Family Lachnospiraceae |
| Genus Anaerocolumna |
| Species Anaerocolumna chitinilytica |
| Full scientific name Anaerocolumna chitinilytica Ueki et al. 2021 |
| @ref | Motility | Confidence | |
|---|---|---|---|
| 125439 | 90.9 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 124558 | PY + X MEDIUM (N2/CO2) (DSMZ Medium 104c) | Medium recipe at MediaDive | Name: PY + X MEDIUM (N2/CO2) (DSMZ Medium 104c) Composition: Yeast extract 10.0 g/l D-Glucose 5.0 g/l Trypticase peptone 5.0 g/l Meat peptone 5.0 g/l Na2CO3 1.0 g/l L-Cysteine HCl x H2O 0.5 g/l NaHCO3 0.4 g/l NaCl 0.08 g/l K2HPO4 0.04 g/l KH2PO4 0.04 g/l MgSO4 x 7 H2O 0.02 g/l CaCl2 x 2 H2O 0.01 g/l Sodium resazurin 0.0005 g/l Distilled water |
| @ref | Growth | Type | Temperature (°C) | |
|---|---|---|---|---|
| 124558 | positive | growth | 35 |
| @ref | Sample type | Geographic location | Country | Country ISO 3 Code | Continent | Latitude | Longitude | |
|---|---|---|---|---|---|---|---|---|
| 124558 | soil | Tokushima | Japan | JPN | Asia | 34.07 | 134.36 34.07/134.36 |
Global distribution of 16S sequence LC020489 (>99% sequence identity) for Anaerocolumna from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM1421835v1 assembly for Anaerocolumna chitinilytica CTTW | complete | 1727145 | 93.83 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 20215 | Anaerocolumna chitinilytica CTTW gene for 16S ribosomal RNA, partial sequence | LC020489 | 1459 | 1727145 |
| @ref | GC-content (mol%) | Method | |
|---|---|---|---|
| 124558 | 38.3 | sequence analysis |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | yes | 96.10 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 90.90 | no |
| 125439 | gram_stain | BacteriaNetⓘ | variable | 69.00 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | facultative anaerobe | 96.10 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 66.75 | no |
| 125438 | anaerobic | anaerobicⓘ | yes | 84.50 | no |
| 125438 | aerobic | aerobicⓘ | no | 90.22 | no |
| 125438 | spore-forming | spore-formingⓘ | yes | 73.40 | no |
| 125438 | thermophilic | thermophileⓘ | no | 93.49 | no |
| 125438 | flagellated | motile2+ⓘ | yes | 80.16 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Phylogeny | Anaerocolumna chitinilytica sp. nov., a chitin-decomposing anaerobic bacterium isolated from anoxic soil subjected to biological soil disinfestation. | Ueki A, Tonouchi A, Kaku N, Ueki K | Int J Syst Evol Microbiol | 10.1099/ijsem.0.004999 | 2021 |
| #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 ) |
| #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) . |
| #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.: MicrobeAtlas 1.0 beta . |
| #124558 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 110036 |
| #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 . |
| #126262 | A. Lissin, I. Schober, J. F. Witte, H. Lüken, A. Podstawka, J. Koblitz, B. Bunk, P. Dawyndt, P. Vandamme, P. de Vos, J. Overmann, L. C. Reimer: StrainInfo—the central database for linked microbial strain identifiers. ( DOI 10.1093/database/baaf059 ) |
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If you want to cite this particular strain cite the following doi:
https://doi.org/10.13145/bacdive168001.20251217.10
When using BacDive for research please cite the following paper
BacDive in 2025: the core database for prokaryotic strain data