Algoriphagus faecimaris LYX05 is a bacterium that was isolated from coastal sediment.
genome sequence 16S sequence Bacteria| @ref 20215 |
|
|
| Domain Bacteria |
| Phylum Bacteroidota |
| Class Cytophagia |
| Order Cytophagales |
| Family Cyclobacteriaceae |
| Genus Algoriphagus |
| Species Algoriphagus faecimaris |
| Full scientific name Algoriphagus faecimaris Li et al. 2011 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 16576 | BACTO MARINE BROTH (DIFCO 2216) (DSMZ Medium 514) | Medium recipe at MediaDive | Name: BACTO MARINE BROTH (DIFCO 2216) (DSMZ Medium 514) Composition: NaCl 19.45 g/l MgCl2 5.9 g/l Bacto peptone 5.0 g/l Na2SO4 3.24 g/l CaCl2 1.8 g/l Yeast extract 1.0 g/l KCl 0.55 g/l NaHCO3 0.16 g/l Fe(III) citrate 0.1 g/l KBr 0.08 g/l SrCl2 0.034 g/l H3BO3 0.022 g/l Na2HPO4 0.008 g/l Na-silicate 0.004 g/l NaF 0.0024 g/l (NH4)NO3 0.0016 g/l Distilled water |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Environmental | #Aquatic | #Sediment | |
| #Environmental | #Terrestrial | #Coast |
Global distribution of 16S sequence GU072591 (>99% sequence identity) for Algoriphagus faecimaris subclade from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 67770 | IMG-taxon 2622736587 annotated assembly for Algoriphagus faecimaris DSM 23095 | scaffold | 686796 | 54.3 | ||||
| 67770 | ASM215058v1 assembly for Algoriphagus faecimaris JCM 16561 | contig | 686796 | 51.51 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 16576 | Algoriphagus faecimaris strain LYX05 16S ribosomal RNA gene, partial sequence | GU072591 | 1397 | 686796 |
| @ref | GC-content (mol%) | Method | |
|---|---|---|---|
| 16576 | 42.5 | high performance liquid chromatography (HPLC) |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 88.28 | no |
| 125439 | motility | BacteriaNetⓘ | no | 78.36 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 99.07 | no |
| 125439 | spore_formation | BacteriaNetⓘ | no | 99.85 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 96.82 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 92.67 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 86.94 | no |
| 125438 | aerobic | aerobicⓘ | yes | 82.54 | no |
| 125438 | thermophilic | thermophileⓘ | no | 95.67 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 92.00 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Phylogeny | Algoriphagus faecimaris sp. nov., isolated from coastal sediment. | Li Y, Yan S, Yang Q, Qi Z, Zhang XH, Fu YB | Int J Syst Evol Microbiol | 10.1099/ijs.0.027862-0 | 2011 |
| #16576 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 23095 |
| #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 ) |
| #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/bacdive17713.20260601.11
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BacDive in 2025: the core database for prokaryotic strain data