Actinomyces haliotis WL80 is a bacterium that was isolated from Intestinal tract of the abalone Haliotis discus hannai.
genome sequence 16S sequence Bacteria| @ref 20215 |
|
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| Domain Bacteria |
| Phylum Actinomycetota |
| Class Actinomycetes |
| Order Actinomycetales |
| Family Actinomycetaceae |
| Genus Actinomyces |
| Species Actinomyces haliotis |
| Full scientific name Actinomyces haliotis Hyun et al. 2014 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 42671 | PYG MEDIUM (MODIFIED) (DSMZ Medium 104) | Medium recipe at MediaDive | Name: PYG MEDIUM (modified) (DSMZ Medium 104) Composition: Yeast extract 10.0 g/l Peptone 5.0 g/l Trypticase peptone 5.0 g/l Beef extract 5.0 g/l Glucose 5.0 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 Hemin 0.005 g/l Ethanol 0.0038 g/l Resazurin 0.001 g/l Tween 80 Vitamin K1 NaOH Distilled water | ||
| 42671 | BHI MEDIUM (DSMZ Medium 215) | Medium recipe at MediaDive | Name: BHI MEDIUM (DSMZ Medium 215) Composition: Brain heart infusion 37.0 g/l Distilled water |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Host | #Invertebrates (Other) | #Mollusca | |
| #Host Body-Site | #Gastrointestinal tract | - |
Global distribution of 16S sequence KC196072 (>99% sequence identity) for Actinomyces haliotis from Microbeatlas ![]()
| @ref | Biosafety level | Biosafety level comment | |
|---|---|---|---|
| 42671 | 1 | Risk group (German classification) |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM1535576v1 assembly for Actinomyces haliotis JCM 18848 | contig | 1280843 | 70.89 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 42671 | Actinomyces haliotis strain WL80 from South Korea 16S ribosomal RNA gene, partial sequence | KC196072 | 1459 | 1280843 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | oxygen_tolerance | BacteriaNetⓘ | facultative anaerobe | 97.44 | no |
| 125439 | motility | BacteriaNetⓘ | no | 90.41 | no |
| 125439 | gram_stain | BacteriaNetⓘ | positive | 96.42 | no |
| 125439 | spore_formation | BacteriaNetⓘ | yes | 48.30 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 93.24 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 85.81 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 85.35 | no |
| 125438 | aerobic | aerobicⓘ | no | 64.76 | no |
| 125438 | thermophilic | thermophileⓘ | no | 97.08 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 93.38 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Phylogeny | Actinomyces haliotis sp. nov., a bacterium isolated from the gut of an abalone, Haliotis discus hannai. | Hyun DW, Shin NR, Kim MS, Kim PS, Kim JY, Whon TW, Bae JW | Int J Syst Evol Microbiol | 10.1099/ijs.0.055350-0 | 2013 |
| #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 ) |
| #42671 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 105491 |
| #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) . |
| #67770 | Japan Collection of Microorganism (JCM) ; Curators of the JCM; |
| #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 . |
| #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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https://doi.org/10.13145/bacdive140064.20260601.11
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