@ref: 19350
BacDive-ID: 22970
DSM-Number: 26752
keywords: genome sequence, 16S sequence, anaerobe, thermophilic
description: Keratinibaculum paraultunense KD-1 is an anaerobe, thermophilic prokaryote that was isolated from soil from grassy marshland.
| @ref | history |
|---|---|
| 19350 | <- Y. Huang, Biogas Inst. of Ministry of Agriculture, Chengdu, P.R. China <- Y. Huang and Y. Sun |
| 67770 | Y. Huang KD-1. |
doi: 10.13145/bacdive22970.20251217.10
@ref: 19350
domain: Bacteria
phylum: Firmicutes
class: Tissierellia
order: Clostridiales
family: Tissierellaceae
genus: Keratinibaculum
species: Keratinibaculum paraultunense
full scientific name: Keratinibaculum paraultunense Huang et al. 2015
strain designation: KD-1
type strain: yes
| @ref | growth | type | temperature |
|---|---|---|---|
| 19350 | positive | growth | 55 |
| 67770 | positive | growth | 55 |
| @ref | oxygen tolerance | confidence |
|---|---|---|
| 19350 | anaerobe | |
| 125438 | anaerobe | 93.351 |
| 125439 | anaerobe | 99.8 |
| @ref | sample type | country | origin.country | continent |
|---|---|---|---|---|
| 19350 | soil from grassy marshland | Finland | FIN | Europe |
| 67770 | Grassy marshland |
| Cat1 | Cat2 | Cat3 |
|---|---|---|
| #Environmental | #Terrestrial | #Grassland |
| #Environmental | #Terrestrial | #Soil |
| @ref | description | assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | score |
|---|---|---|---|---|---|---|---|
| 66792 | ASM1676717v1 assembly for Keratinibaculum paraultunense KD-1 | complete | GCA_016767175 | 1278232.5 | 8062362333 | 1278232 | 97.58 |
| 67770 | ASM434335v1 assembly for Keratinibaculum paraultunense DSM 26752 | scaffold | GCA_004343355 | 1278232.3 | 2784746792 | 1278232 | 70.83 |
| @ref | model | trait | description | prediction | confidence | training_data |
|---|---|---|---|---|---|---|
| 125439 | BacteriaNet | oxygen_tolerance | Oxygenic conditions needed for growth | anaerobe | 99.8 | |
| 125439 | BacteriaNet | gram_stain | Reaction to gram-staining | positive | 74.8 | |
| 125439 | BacteriaNet | motility | Ability to perform movement | yes | 72 | |
| 125439 | BacteriaNet | spore_formation | Ability to form endo- or exospores | yes | 71.8 | |
| 125438 | gram-positive | gram-positive | Positive reaction to Gram-staining | yes | 63.026 | no |
| 125438 | anaerobic | anaerobic | Ability to grow under anoxygenic conditions (including facultative anaerobes) | yes | 93.351 | no |
| 125438 | aerobic | aerobic | Ability to grow under oxygenic conditions (including facultative aerobes) | no | 96.205 | no |
| 125438 | spore-forming | spore-forming | Ability to form endo- or exospores | yes | 57.687 | no |
| 125438 | thermophile | thermophilic | Ability to grow at temperatures above or equal to 45°C | yes | 57.383 | yes |
| 125438 | motile2+ | flagellated | Ability to perform flagellated movement | yes | 69.397 | no |
@ref: 19350
culture collection no.: DSM 26752, JCM 18769
| topic | Pubmed-ID | title | authors | journal | DOI | year | mesh | topic2 |
|---|---|---|---|---|---|---|---|---|
| Phylogeny | 23710623 | Isolation and characterization of Keratinibaculum paraultunense gen. nov., sp. nov., a novel thermophilic, anaerobic bacterium with keratinolytic activity. | Huang Y, Sun Y, Ma S, Chen L, Zhang H, Deng Y | FEMS Microbiol Lett | 10.1111/1574-6968.12184 | 2013 | Animals, Bacteria, Anaerobic/classification/*enzymology/genetics/*isolation & purification, Bacterial Proteins/chemistry/genetics/*metabolism, Chickens, Enzyme Stability, Feathers/metabolism, Gram-Positive Bacteria/classification/genetics/*isolation & purification/*metabolism, Hot Temperature, Keratins/*metabolism, Molecular Sequence Data, Peptide Hydrolases/chemistry/genetics/*metabolism, Phylogeny, *Soil Microbiology | Enzymology |
| Metabolism | 36127480 | Genome-wide analysis of Keratinibaculum paraultunense strain KD-1( T) and its key genes and metabolic pathways involved in the anaerobic degradation of feather keratin. | Wu W, Ma S, Chen R, Huang Y, Deng Y | Arch Microbiol | 10.1007/s00203-022-03226-9 | 2022 | Amino Acids/metabolism, Anaerobiosis, Animals, Carbohydrates, Clostridiaceae, Disulfides/metabolism, *Feathers/metabolism, *Keratins/genetics/metabolism, Metabolic Networks and Pathways/genetics, Oxidoreductases/metabolism, Thioredoxins/metabolism | Enzymology |
| @id | authors | catalogue | doi/url | title | journal | pubmed |
|---|---|---|---|---|---|---|
| 19350 | Curators of the DSMZ | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH (DSM 26752) | https://www.dsmz.de/collection/catalogue/details/culture/DSM-26752 | |||
| 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 | |
| 67770 | Curators of the JCM | https://jcm.brc.riken.jp/en/ | ||||
| 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 | |||
| 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 | |||
| 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 | 10.1093/database/baaf059 | StrainInfo—the central database for linked microbial strain identifiers |
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