Andreprevotia lacus GFC-1 is an aerobe, Gram-negative, motile bacterium that was isolated from fish-culture pond.
Gram-negative motile rod-shaped aerobe genome sequence 16S sequence Bacteria| @ref 20215 |
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| Domain Bacteria |
| Phylum Pseudomonadota |
| Class Betaproteobacteria |
| Order Neisseriales |
| Family Chromobacteriaceae |
| Genus Andreprevotia |
| Species Andreprevotia lacus |
| Full scientific name Andreprevotia lacus Sheu et al. 2009 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 16703 | REACTIVATION WITH LIQUID MEDIUM 830 (DSMZ Medium 830c) | Medium recipe at MediaDive | Name: REACTIVATION WITH LIQUID MEDIUM 830 (DSMZ Medium 830c) Composition: Agar 15.0 g/l Yeast extract 0.5 g/l Proteose peptone 0.5 g/l Casamino acids 0.5 g/l Glucose 0.5 g/l Starch 0.5 g/l K2HPO4 0.3 g/l Na-pyruvate 0.3 g/l MgSO4 x 7 H2O 0.05 g/l Distilled water |
| 29238 | Oxygen toleranceaerobe |
| @ref | Chebi-ID | Metabolite | Utilization activity | Kind of utilization tested | |
|---|---|---|---|---|---|
| 29238 | 17128 ChEBI | adipate | + | carbon source | |
| 29238 | 22599 ChEBI | arabinose | + | carbon source | |
| 29238 | 16947 ChEBI | citrate | + | carbon source | |
| 29238 | 17234 ChEBI | glucose | + | carbon source | |
| 29238 | 25115 ChEBI | malate | + | carbon source | |
| 29238 | 17306 ChEBI | maltose | + | carbon source | |
| 29238 | 37684 ChEBI | mannose | + | carbon source | |
| 29238 | 17632 ChEBI | nitrate | + | reduction |
| @ref | pathway | enzyme coverage | annotated reactions | external links | |
|---|---|---|---|---|---|
| 66794 | adipate degradation | 100 | 2 of 2 | ||
| 66794 | coenzyme A metabolism | 100 | 4 of 4 | ||
| 66794 | formaldehyde oxidation | 100 | 3 of 3 | ||
| 66794 | biotin biosynthesis | 100 | 4 of 4 | ||
| 66794 | palmitate biosynthesis | 100 | 22 of 22 | ||
| 66794 | enterobactin biosynthesis | 100 | 3 of 3 | ||
| 66794 | ethanol fermentation | 100 | 2 of 2 | ||
| 66794 | threonine metabolism | 100 | 10 of 10 | ||
| 66794 | cis-vaccenate biosynthesis | 100 | 2 of 2 | ||
| 66794 | ubiquinone biosynthesis | 100 | 7 of 7 | ||
| 66794 | ppGpp biosynthesis | 100 | 4 of 4 | ||
| 66794 | methylglyoxal degradation | 100 | 5 of 5 | ||
| 66794 | anapleurotic synthesis of oxalacetate | 100 | 1 of 1 | ||
| 66794 | folate polyglutamylation | 100 | 1 of 1 | ||
| 66794 | taurine degradation | 100 | 1 of 1 | ||
| 66794 | suberin monomers biosynthesis | 100 | 2 of 2 | ||
| 66794 | UDP-GlcNAc biosynthesis | 100 | 3 of 3 | ||
| 66794 | CDP-diacylglycerol biosynthesis | 100 | 2 of 2 | ||
| 66794 | tetrahydrofolate metabolism | 92.86 | 13 of 14 | ||
| 66794 | photosynthesis | 92.86 | 13 of 14 | ||
| 66794 | vitamin B1 metabolism | 92.31 | 12 of 13 | ||
| 66794 | phenylalanine metabolism | 92.31 | 12 of 13 | ||
| 66794 | pentose phosphate pathway | 90.91 | 10 of 11 | ||
| 66794 | Entner Doudoroff pathway | 90 | 9 of 10 | ||
| 66794 | molybdenum cofactor biosynthesis | 88.89 | 8 of 9 | ||
| 66794 | valine metabolism | 88.89 | 8 of 9 | ||
| 66794 | lipid A biosynthesis | 88.89 | 8 of 9 | ||
| 66794 | serine metabolism | 88.89 | 8 of 9 | ||
| 66794 | chorismate metabolism | 88.89 | 8 of 9 | ||
| 66794 | isoleucine metabolism | 87.5 | 7 of 8 | ||
| 66794 | heme metabolism | 85.71 | 12 of 14 | ||
| 66794 | reductive acetyl coenzyme A pathway | 85.71 | 6 of 7 | ||
| 66794 | NAD metabolism | 83.33 | 15 of 18 | ||
| 66794 | peptidoglycan biosynthesis | 80 | 12 of 15 | ||
| 66794 | glycogen metabolism | 80 | 4 of 5 | ||
| 66794 | CO2 fixation in Crenarchaeota | 77.78 | 7 of 9 | ||
| 66794 | butanoate fermentation | 75 | 3 of 4 | ||
| 66794 | glycogen biosynthesis | 75 | 3 of 4 | ||
| 66794 | 6-hydroxymethyl-dihydropterin diphosphate biosynthesis | 75 | 6 of 8 | ||
| 66794 | CMP-KDO biosynthesis | 75 | 3 of 4 | ||
| 66794 | acetate fermentation | 75 | 3 of 4 | ||
| 66794 | sulfopterin metabolism | 75 | 3 of 4 | ||
| 66794 | degradation of sugar alcohols | 75 | 12 of 16 | ||
| 66794 | C4 and CAM-carbon fixation | 75 | 6 of 8 | ||
| 66794 | gluconeogenesis | 75 | 6 of 8 | ||
| 66794 | vitamin B6 metabolism | 72.73 | 8 of 11 | ||
| 66794 | purine metabolism | 72.34 | 68 of 94 | ||
| 66794 | cardiolipin biosynthesis | 71.43 | 5 of 7 | ||
| 66794 | lysine metabolism | 71.43 | 30 of 42 | ||
| 66794 | glycolysis | 70.59 | 12 of 17 | ||
| 66794 | methionine metabolism | 69.23 | 18 of 26 | ||
| 66794 | glutamate and glutamine metabolism | 67.86 | 19 of 28 | ||
| 66794 | lipid metabolism | 67.74 | 21 of 31 | ||
| 66794 | L-lactaldehyde degradation | 66.67 | 2 of 3 | ||
| 66794 | sulfoquinovose degradation | 66.67 | 2 of 3 | ||
| 66794 | octane oxidation | 66.67 | 2 of 3 | ||
| 66794 | d-mannose degradation | 66.67 | 6 of 9 | ||
| 66794 | cysteine metabolism | 66.67 | 12 of 18 | ||
| 66794 | flavin biosynthesis | 66.67 | 10 of 15 | ||
| 66794 | acetoin degradation | 66.67 | 2 of 3 | ||
| 66794 | cyanate degradation | 66.67 | 2 of 3 | ||
| 66794 | aspartate and asparagine metabolism | 66.67 | 6 of 9 | ||
| 66794 | oxidative phosphorylation | 65.93 | 60 of 91 | ||
| 66794 | alanine metabolism | 65.52 | 19 of 29 | ||
| 66794 | tyrosine metabolism | 64.29 | 9 of 14 | ||
| 66794 | citric acid cycle | 64.29 | 9 of 14 | ||
| 66794 | glutathione metabolism | 64.29 | 9 of 14 | ||
| 66794 | proline metabolism | 63.64 | 7 of 11 | ||
| 66794 | non-pathway related | 63.16 | 24 of 38 | ||
| 66794 | tryptophan metabolism | 63.16 | 24 of 38 | ||
| 66794 | ketogluconate metabolism | 62.5 | 5 of 8 | ||
| 66794 | dTDPLrhamnose biosynthesis | 62.5 | 5 of 8 | ||
| 66794 | pyrimidine metabolism | 62.22 | 28 of 45 | ||
| 66794 | leucine metabolism | 61.54 | 8 of 13 | ||
| 66794 | starch degradation | 60 | 6 of 10 | ||
| 66794 | metabolism of amino sugars and derivatives | 60 | 3 of 5 | ||
| 66794 | cellulose degradation | 60 | 3 of 5 | ||
| 66794 | propionate fermentation | 60 | 6 of 10 | ||
| 66794 | lipoate biosynthesis | 60 | 3 of 5 | ||
| 66794 | isoprenoid biosynthesis | 57.69 | 15 of 26 | ||
| 66794 | propanol degradation | 57.14 | 4 of 7 | ||
| 66794 | histidine metabolism | 55.17 | 16 of 29 | ||
| 66794 | arginine metabolism | 54.17 | 13 of 24 | ||
| 66794 | urea cycle | 53.85 | 7 of 13 | ||
| 66794 | sulfate reduction | 53.85 | 7 of 13 | ||
| 66794 | phenylmercury acetate degradation | 50 | 1 of 2 | ||
| 66794 | toluene degradation | 50 | 2 of 4 | ||
| 66794 | degradation of aromatic, nitrogen containing compounds | 50 | 6 of 12 | ||
| 66794 | glycolate and glyoxylate degradation | 50 | 3 of 6 | ||
| 66794 | ribulose monophosphate pathway | 50 | 1 of 2 | ||
| 66794 | nitrate assimilation | 44.44 | 4 of 9 | ||
| 66794 | aclacinomycin biosynthesis | 42.86 | 3 of 7 | ||
| 66794 | glycine betaine biosynthesis | 40 | 2 of 5 | ||
| 66794 | arachidonate biosynthesis | 40 | 2 of 5 | ||
| 66794 | vitamin K metabolism | 40 | 2 of 5 | ||
| 66794 | O-antigen biosynthesis | 40 | 2 of 5 | ||
| 66794 | 3-phenylpropionate degradation | 40 | 6 of 15 | ||
| 66794 | glycine metabolism | 40 | 4 of 10 | ||
| 66794 | degradation of pentoses | 39.29 | 11 of 28 | ||
| 66794 | phenylpropanoid biosynthesis | 38.46 | 5 of 13 | ||
| 66794 | androgen and estrogen metabolism | 37.5 | 6 of 16 | ||
| 66794 | carotenoid biosynthesis | 36.36 | 8 of 22 | ||
| 66794 | cholesterol biosynthesis | 36.36 | 4 of 11 | ||
| 66794 | polyamine pathway | 34.78 | 8 of 23 | ||
| 66794 | (5R)-carbapenem carboxylate biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | sphingosine metabolism | 33.33 | 2 of 6 | ||
| 66794 | selenocysteine biosynthesis | 33.33 | 2 of 6 | ||
| 66794 | acetyl CoA biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | pantothenate biosynthesis | 33.33 | 2 of 6 | ||
| 66794 | 1,4-dihydroxy-6-naphthoate biosynthesis | 33.33 | 2 of 6 | ||
| 66794 | IAA biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | arachidonic acid metabolism | 33.33 | 6 of 18 | ||
| 66794 | vitamin B12 metabolism | 29.41 | 10 of 34 | ||
| 66794 | degradation of sugar acids | 28 | 7 of 25 | ||
| 66794 | degradation of hexoses | 27.78 | 5 of 18 | ||
| 66794 | metabolism of disaccharids | 27.27 | 3 of 11 | ||
| 66794 | d-xylose degradation | 27.27 | 3 of 11 | ||
| 66794 | ascorbate metabolism | 27.27 | 6 of 22 | ||
| 66794 | dolichyl-diphosphooligosaccharide biosynthesis | 27.27 | 3 of 11 | ||
| 66794 | alginate biosynthesis | 25 | 1 of 4 | ||
| 66794 | lactate fermentation | 25 | 1 of 4 | ||
| 66794 | carnitine metabolism | 25 | 2 of 8 | ||
| 66794 | phenol degradation | 25 | 5 of 20 | ||
| 66794 | cyclohexanol degradation | 25 | 1 of 4 | ||
| 66794 | phosphatidylethanolamine bioynthesis | 23.08 | 3 of 13 | ||
| 66794 | 4-hydroxymandelate degradation | 22.22 | 2 of 9 |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Engineered | #Food production | #Aquaculture | |
| #Environmental | #Aquatic | #Pond (small) | |
| #Host | #Fishes | - |
| @ref | Sample type | Geographic location | Country | Country ISO 3 Code | Continent | |
|---|---|---|---|---|---|---|
| 16703 | fish-culture pond | Taoyuan County | Taiwan, Province of China | TWN | Asia |
Global distribution of 16S sequence EU287926 (>99% sequence identity) for Andreprevotia lacus subclade from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | IMG-taxon 2568526002 annotated assembly for Andreprevotia lacus DSM 23236 | scaffold | 1121001 | 57.72 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 16703 | Neisseriaceae bacterium GFC-1 16S ribosomal RNA gene, partial sequence | EU287926 | 1398 | 1121000 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 98.00 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 88.00 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 96.60 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 88.80 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 97.49 | yes |
| 125438 | anaerobic | anaerobicⓘ | no | 93.82 | yes |
| 125438 | aerobic | aerobicⓘ | yes | 66.71 | yes |
| 125438 | spore-forming | spore-formingⓘ | no | 91.77 | yes |
| 125438 | thermophilic | thermophileⓘ | no | 96.92 | yes |
| 125438 | flagellated | motile2+ⓘ | yes | 73.37 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Phylogeny | Andreprevotia lacus sp. nov., isolated from a fish-culture pond. | Sheu SY, Chiu TF, Chou JH, Sheu DS, Arun AB, Young CC, Chen CA, Wang JT, Chen WM | Int J Syst Evol Microbiol | 10.1099/ijs.0.009233-0 | 2009 |
| #16703 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 23236 |
| #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 ) |
| #25658 | IJSEM 2482 2009 ( DOI 10.1099/ijs.0.009233-0 , PubMed 19622669 ) |
| #29238 | Barberan A, Caceres Velazquez H, Jones S, Fierer N.: Hiding in Plain Sight: Mining Bacterial Species Records for Phenotypic Trait Information. mSphere 2: 2017 ( DOI 10.1128/mSphere.00237-17 , PubMed 28776041 ) - originally annotated from #25658 |
| #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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