Labilithrix luteola B00002 is a mesophilic prokaryote that was isolated from forest soil.
mesophilic genome sequence 16S sequence| @ref 20215 |
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| Domain Bacteria |
| Phylum Pseudomonadota |
| Class Deltaproteobacteria |
| Order Polyangiales |
| Family Polyangiaceae |
| Genus Labilithrix |
| Species Labilithrix luteola |
| Full scientific name Labilithrix luteola Yamamoto et al. 2014 |
| @ref: | 22116 |
| multimedia content: | DSM_27648.jpg |
| multimedia.multimedia content: | https://www.dsmz.de/microorganisms/photos/DSM_27648.jpg |
| intellectual property rights: | © Leibniz-Institut DSMZ |
| manual_annotation: | 1 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 22116 | NB-PYRUVATE AGAR (DSMZ Medium 1509) | Medium recipe at MediaDive | Name: NB-PYRUVATE AGAR (DSMZ Medium 1509) Composition: Agar 14.0 g/l Nutrient broth 6.0 g/l NaCl 1.5 g/l Na-pyruvate 1.0 g/l Distilled water | ||
| 22116 | VY/2 AGAR (DSMZ Medium 9) | Medium recipe at MediaDive | Name: VY/2 AGAR (DSMZ Medium 9) Composition: Agar 15.0 g/l Baker's yeast 5.0 g/l CaCl2 x 2 H2O 1.36 g/l Vitamin B12 0.0005 g/l Distilled water | ||
| 22116 | CY-AGAR (DSMZ Medium 67) | Medium recipe at MediaDive | Name: CY-AGAR (DSMZ Medium 67) Composition: Agar 15.0 g/l Casitone 3.0 g/l CaCl2 x 2 H2O 1.36 g/l Yeast extract 1.0 g/l Distilled water |
| @ref | Growth | Type | Temperature (°C) | Range | |
|---|---|---|---|---|---|
| 22116 | positive | growth | 28 | mesophilic |
| @ref | Oxygen tolerance | Confidence | |
|---|---|---|---|
| 125439 | obligate aerobe | 99.3 |
| @ref | pathway | enzyme coverage | annotated reactions | external links | |
|---|---|---|---|---|---|
| 66794 | CDP-diacylglycerol biosynthesis | 100 | 2 of 2 | ||
| 66794 | molybdenum cofactor biosynthesis | 100 | 9 of 9 | ||
| 66794 | ppGpp biosynthesis | 100 | 4 of 4 | ||
| 66794 | methylglyoxal degradation | 100 | 5 of 5 | ||
| 66794 | UDP-GlcNAc biosynthesis | 100 | 3 of 3 | ||
| 66794 | valine metabolism | 100 | 9 of 9 | ||
| 66794 | acetoin degradation | 100 | 3 of 3 | ||
| 66794 | starch degradation | 100 | 10 of 10 | ||
| 66794 | glycine betaine biosynthesis | 100 | 5 of 5 | ||
| 66794 | biotin biosynthesis | 100 | 4 of 4 | ||
| 66794 | L-lactaldehyde degradation | 100 | 3 of 3 | ||
| 66794 | sulfopterin metabolism | 100 | 4 of 4 | ||
| 66794 | adipate degradation | 100 | 2 of 2 | ||
| 66794 | coenzyme A metabolism | 100 | 4 of 4 | ||
| 66794 | formaldehyde oxidation | 100 | 3 of 3 | ||
| 66794 | hydrogen production | 100 | 5 of 5 | ||
| 66794 | cyanate degradation | 100 | 3 of 3 | ||
| 66794 | ceramide biosynthesis | 100 | 1 of 1 | ||
| 66794 | isoleucine metabolism | 100 | 8 of 8 | ||
| 66794 | 1,4-dihydroxy-6-naphthoate biosynthesis | 100 | 6 of 6 | ||
| 66794 | ethanol fermentation | 100 | 2 of 2 | ||
| 66794 | aspartate and asparagine metabolism | 100 | 9 of 9 | ||
| 66794 | anapleurotic synthesis of oxalacetate | 100 | 1 of 1 | ||
| 66794 | folate polyglutamylation | 100 | 1 of 1 | ||
| 66794 | suberin monomers biosynthesis | 100 | 2 of 2 | ||
| 66794 | acetate fermentation | 100 | 4 of 4 | ||
| 66794 | kanosamine biosynthesis II | 100 | 2 of 2 | ||
| 66794 | cardiolipin biosynthesis | 100 | 7 of 7 | ||
| 66794 | palmitate biosynthesis | 95.45 | 21 of 22 | ||
| 66794 | heme metabolism | 92.86 | 13 of 14 | ||
| 66794 | phenylalanine metabolism | 92.31 | 12 of 13 | ||
| 66794 | leucine metabolism | 92.31 | 12 of 13 | ||
| 66794 | threonine metabolism | 90 | 9 of 10 | ||
| 66794 | propionate fermentation | 90 | 9 of 10 | ||
| 66794 | Entner Doudoroff pathway | 90 | 9 of 10 | ||
| 66794 | alanine metabolism | 89.66 | 26 of 29 | ||
| 66794 | serine metabolism | 88.89 | 8 of 9 | ||
| 66794 | chorismate metabolism | 88.89 | 8 of 9 | ||
| 66794 | CO2 fixation in Crenarchaeota | 88.89 | 8 of 9 | ||
| 66794 | glycolysis | 88.24 | 15 of 17 | ||
| 66794 | C4 and CAM-carbon fixation | 87.5 | 7 of 8 | ||
| 66794 | gluconeogenesis | 87.5 | 7 of 8 | ||
| 66794 | flavin biosynthesis | 86.67 | 13 of 15 | ||
| 66794 | lysine metabolism | 85.71 | 36 of 42 | ||
| 66794 | photosynthesis | 85.71 | 12 of 14 | ||
| 66794 | ubiquinone biosynthesis | 85.71 | 6 of 7 | ||
| 66794 | tyrosine metabolism | 85.71 | 12 of 14 | ||
| 66794 | tetrahydrofolate metabolism | 85.71 | 12 of 14 | ||
| 66794 | propanol degradation | 85.71 | 6 of 7 | ||
| 66794 | vitamin B1 metabolism | 84.62 | 11 of 13 | ||
| 66794 | glycolate and glyoxylate degradation | 83.33 | 5 of 6 | ||
| 66794 | NAD metabolism | 83.33 | 15 of 18 | ||
| 66794 | glutamate and glutamine metabolism | 82.14 | 23 of 28 | ||
| 66794 | pentose phosphate pathway | 81.82 | 9 of 11 | ||
| 66794 | tryptophan metabolism | 81.58 | 31 of 38 | ||
| 66794 | glycogen metabolism | 80 | 4 of 5 | ||
| 66794 | phenylacetate degradation (aerobic) | 80 | 4 of 5 | ||
| 66794 | peptidoglycan biosynthesis | 80 | 12 of 15 | ||
| 66794 | vitamin K metabolism | 80 | 4 of 5 | ||
| 66794 | purine metabolism | 79.79 | 75 of 94 | ||
| 66794 | histidine metabolism | 79.31 | 23 of 29 | ||
| 66794 | citric acid cycle | 78.57 | 11 of 14 | ||
| 66794 | glutathione metabolism | 78.57 | 11 of 14 | ||
| 66794 | lipid A biosynthesis | 77.78 | 7 of 9 | ||
| 66794 | lipid metabolism | 77.42 | 24 of 31 | ||
| 66794 | urea cycle | 76.92 | 10 of 13 | ||
| 66794 | pyrimidine metabolism | 75.56 | 34 of 45 | ||
| 66794 | butanoate fermentation | 75 | 3 of 4 | ||
| 66794 | glycogen biosynthesis | 75 | 3 of 4 | ||
| 66794 | ketogluconate metabolism | 75 | 6 of 8 | ||
| 66794 | catecholamine biosynthesis | 75 | 3 of 4 | ||
| 66794 | 6-hydroxymethyl-dihydropterin diphosphate biosynthesis | 75 | 6 of 8 | ||
| 66794 | arginine metabolism | 75 | 18 of 24 | ||
| 66794 | methionine metabolism | 73.08 | 19 of 26 | ||
| 66794 | vitamin B6 metabolism | 72.73 | 8 of 11 | ||
| 66794 | cysteine metabolism | 72.22 | 13 of 18 | ||
| 66794 | reductive acetyl coenzyme A pathway | 71.43 | 5 of 7 | ||
| 66794 | non-pathway related | 71.05 | 27 of 38 | ||
| 66794 | acetyl CoA biosynthesis | 66.67 | 2 of 3 | ||
| 66794 | d-mannose degradation | 66.67 | 6 of 9 | ||
| 66794 | octane oxidation | 66.67 | 2 of 3 | ||
| 66794 | oxidative phosphorylation | 65.93 | 60 of 91 | ||
| 66794 | polyamine pathway | 65.22 | 15 of 23 | ||
| 66794 | proline metabolism | 63.64 | 7 of 11 | ||
| 66794 | degradation of sugar alcohols | 62.5 | 10 of 16 | ||
| 66794 | dTDPLrhamnose biosynthesis | 62.5 | 5 of 8 | ||
| 66794 | sulfate reduction | 61.54 | 8 of 13 | ||
| 66794 | cellulose degradation | 60 | 3 of 5 | ||
| 66794 | creatinine degradation | 60 | 3 of 5 | ||
| 66794 | myo-inositol biosynthesis | 60 | 6 of 10 | ||
| 66794 | lipoate biosynthesis | 60 | 3 of 5 | ||
| 66794 | degradation of aromatic, nitrogen containing compounds | 58.33 | 7 of 12 | ||
| 66794 | benzoyl-CoA degradation | 57.14 | 4 of 7 | ||
| 66794 | allantoin degradation | 55.56 | 5 of 9 | ||
| 66794 | nitrate assimilation | 55.56 | 5 of 9 | ||
| 66794 | phenol degradation | 55 | 11 of 20 | ||
| 66794 | d-xylose degradation | 54.55 | 6 of 11 | ||
| 66794 | cholesterol biosynthesis | 54.55 | 6 of 11 | ||
| 66794 | metabolism of disaccharids | 54.55 | 6 of 11 | ||
| 66794 | isoprenoid biosynthesis | 53.85 | 14 of 26 | ||
| 66794 | 3-phenylpropionate degradation | 53.33 | 8 of 15 | ||
| 66794 | bile acid biosynthesis, neutral pathway | 52.94 | 9 of 17 | ||
| 66794 | cyclohexanol degradation | 50 | 2 of 4 | ||
| 66794 | pantothenate biosynthesis | 50 | 3 of 6 | ||
| 66794 | lactate fermentation | 50 | 2 of 4 | ||
| 66794 | cis-vaccenate biosynthesis | 50 | 1 of 2 | ||
| 66794 | mannosylglycerate biosynthesis | 50 | 1 of 2 | ||
| 66794 | denitrification | 50 | 1 of 2 | ||
| 66794 | glycine metabolism | 50 | 5 of 10 | ||
| 66794 | carnitine metabolism | 50 | 4 of 8 | ||
| 66794 | selenocysteine biosynthesis | 50 | 3 of 6 | ||
| 66794 | phenylmercury acetate degradation | 50 | 1 of 2 | ||
| 66794 | coenzyme M biosynthesis | 50 | 5 of 10 | ||
| 66794 | androgen and estrogen metabolism | 50 | 8 of 16 | ||
| 66794 | sphingosine metabolism | 50 | 3 of 6 | ||
| 66794 | degradation of pentoses | 46.43 | 13 of 28 | ||
| 66794 | phosphatidylethanolamine bioynthesis | 46.15 | 6 of 13 | ||
| 66794 | phenylpropanoid biosynthesis | 46.15 | 6 of 13 | ||
| 66794 | ascorbate metabolism | 45.45 | 10 of 22 | ||
| 66794 | arachidonic acid metabolism | 44.44 | 8 of 18 | ||
| 66794 | mevalonate metabolism | 42.86 | 3 of 7 | ||
| 66794 | aclacinomycin biosynthesis | 42.86 | 3 of 7 | ||
| 66794 | carotenoid biosynthesis | 40.91 | 9 of 22 | ||
| 66794 | O-antigen biosynthesis | 40 | 2 of 5 | ||
| 66794 | gallate degradation | 40 | 2 of 5 | ||
| 66794 | bacilysin biosynthesis | 40 | 2 of 5 | ||
| 66794 | metabolism of amino sugars and derivatives | 40 | 2 of 5 | ||
| 66794 | 3-chlorocatechol degradation | 40 | 2 of 5 | ||
| 66794 | degradation of hexoses | 38.89 | 7 of 18 | ||
| 66794 | dolichyl-diphosphooligosaccharide biosynthesis | 36.36 | 4 of 11 | ||
| 66794 | sulfoquinovose degradation | 33.33 | 1 of 3 | ||
| 66794 | methanogenesis from CO2 | 33.33 | 4 of 12 | ||
| 66794 | IAA biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | 4-hydroxymandelate degradation | 33.33 | 3 of 9 | ||
| 66794 | enterobactin biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | degradation of sugar acids | 28 | 7 of 25 | ||
| 66794 | vitamin B12 metabolism | 26.47 | 9 of 34 | ||
| 66794 | alginate biosynthesis | 25 | 1 of 4 | ||
| 66794 | CMP-KDO biosynthesis | 25 | 1 of 4 | ||
| 66794 | toluene degradation | 25 | 1 of 4 | ||
| 66794 | chlorophyll metabolism | 22.22 | 4 of 18 | ||
| 66794 | daunorubicin biosynthesis | 22.22 | 2 of 9 |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Environmental | #Terrestrial | #Forest | |
| #Environmental | #Terrestrial | #Soil |
| @ref | Sample type | Geographic location | Country | Country ISO 3 Code | Continent | |
|---|---|---|---|---|---|---|
| 22116 | forest soil | Kagoshima Prefecture, Yakushima Island | Japan | JPN | Asia |
Global distribution of 16S sequence AB847449 (>99% sequence identity) for Labilithrix luteola subclade from Microbeatlas ![]()
| @ref | Biosafety level | Biosafety level comment | |
|---|---|---|---|
| 22116 | 1 | Risk group (German classification) |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | Labilithrix luteola strain DSM 27648 | complete | 1391654 | 95.63 | ||||
| 66792 | ASM126320v1 assembly for Labilithrix luteola DSM 27648 | complete | 1391654 | 92.91 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 22116 | Labilithrix luteola gene for 16S ribosomal RNA, partial sequence | AB847449 | 1483 | 1391654 |
| @ref | GC-content (mol%) | Method | |
|---|---|---|---|
| 22116 | 66.3 | high performance liquid chromatography (HPLC) |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 86.80 | no |
| 125439 | motility | BacteriaNetⓘ | no | 53.30 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 69.40 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 99.30 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 87.43 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 86.19 | no |
| 125438 | aerobic | aerobicⓘ | yes | 77.03 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 70.57 | no |
| 125438 | thermophilic | thermophileⓘ | no | 98.41 | yes |
| 125438 | flagellated | motile2+ⓘ | yes | 64.42 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Phylogeny | ezTree: an automated pipeline for identifying phylogenetic marker genes and inferring evolutionary relationships among uncultivated prokaryotic draft genomes. | Wu YW. | BMC Genomics | 10.1186/s12864-017-4327-9 | 2018 | |
| Metabolism | Genetic manipulation and tools in myxobacteria for the exploitation of secondary metabolism. | Yue X, Sheng D, Zhuo L, Li YZ. | Eng Microbiol | 10.1016/j.engmic.2023.100075 | 2023 | |
| Phylogeny | Comparative Genomics of Myxobacterial Chemosensory Systems. | Sharma G, Khatri I, Subramanian S. | J Bacteriol | 10.1128/jb.00620-17 | 2018 | |
| Sterol Synthesis in Diverse Bacteria. | Wei JH, Yin X, Welander PV. | Front Microbiol | 10.3389/fmicb.2016.00990 | 2016 | ||
| Metabolism | Six Heterocyclic Metabolites from the Myxobacterium Labilithrix luteola. | Mulwa LS, Jansen R, Praditya DF, Mohr KI, Wink J, Steinmann E, Stadler M | Molecules | 10.3390/molecules23030542 | 2018 | |
| Phylogeny | Vulgatibacter incomptus gen. nov., sp. nov. and Labilithrix luteola gen. nov., sp. nov., two myxobacteria isolated from soil in Yakushima Island, and the description of Vulgatibacteraceae fam. nov., Labilitrichaceae fam. nov. and Anaeromyxobacteraceae fam. nov. | Yamamoto E, Muramatsu H, Nagai K | Int J Syst Evol Microbiol | 10.1099/ijs.0.063198-0 | 2014 |
| #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 ) |
| #22116 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 27648 |
| #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) . |
| #66794 | Antje Chang, Lisa Jeske, Sandra Ulbrich, Julia Hofmann, Julia Koblitz, Ida Schomburg, Meina Neumann-Schaal, Dieter Jahn, Dietmar Schomburg: BRENDA, the ELIXIR core data resource in 2021: new developments and updates. Nucleic Acids Res. 49: D498 - D508 2020 ( DOI 10.1093/nar/gkaa1025 , PubMed 33211880 ) |
| #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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