Hydrocarboniphaga daqingensis B2-9 is an aerobe, Gram-negative, motile bacterium that was isolated from freshwater .
Gram-negative motile rod-shaped aerobe genome sequence 16S sequence Bacteria| @ref 20215 |
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| Domain Bacteria |
| Phylum Pseudomonadota |
| Class Gammaproteobacteria |
| Order Nevskiales |
| Family Nevskiaceae |
| Genus Hydrocarboniphaga |
| Species Hydrocarboniphaga daqingensis |
| Full scientific name Hydrocarboniphaga daqingensis Liu et al. 2011 |
| @ref | pathway | enzyme coverage | annotated reactions | external links | |
|---|---|---|---|---|---|
| 66794 | starch degradation | 100 | 10 of 10 | ||
| 66794 | octane oxidation | 100 | 3 of 3 | ||
| 66794 | gluconeogenesis | 100 | 8 of 8 | ||
| 66794 | valine metabolism | 100 | 9 of 9 | ||
| 66794 | propanol degradation | 100 | 7 of 7 | ||
| 66794 | palmitate biosynthesis | 100 | 22 of 22 | ||
| 66794 | ppGpp biosynthesis | 100 | 4 of 4 | ||
| 66794 | adipate degradation | 100 | 2 of 2 | ||
| 66794 | glycogen metabolism | 100 | 5 of 5 | ||
| 66794 | methylglyoxal degradation | 100 | 5 of 5 | ||
| 66794 | cis-vaccenate biosynthesis | 100 | 2 of 2 | ||
| 66794 | Entner Doudoroff pathway | 100 | 10 of 10 | ||
| 66794 | anapleurotic synthesis of oxalacetate | 100 | 1 of 1 | ||
| 66794 | suberin monomers biosynthesis | 100 | 2 of 2 | ||
| 66794 | folate polyglutamylation | 100 | 1 of 1 | ||
| 66794 | UDP-GlcNAc biosynthesis | 100 | 3 of 3 | ||
| 66794 | biotin biosynthesis | 100 | 4 of 4 | ||
| 66794 | CDP-diacylglycerol biosynthesis | 100 | 2 of 2 | ||
| 66794 | coenzyme A metabolism | 100 | 4 of 4 | ||
| 66794 | formaldehyde oxidation | 100 | 3 of 3 | ||
| 66794 | quinate degradation | 100 | 2 of 2 | ||
| 66794 | tetrahydrofolate metabolism | 92.86 | 13 of 14 | ||
| 66794 | photosynthesis | 92.86 | 13 of 14 | ||
| 66794 | lipid A biosynthesis | 88.89 | 8 of 9 | ||
| 66794 | aspartate and asparagine metabolism | 88.89 | 8 of 9 | ||
| 66794 | CO2 fixation in Crenarchaeota | 88.89 | 8 of 9 | ||
| 66794 | chorismate metabolism | 88.89 | 8 of 9 | ||
| 66794 | C4 and CAM-carbon fixation | 87.5 | 7 of 8 | ||
| 66794 | glutathione metabolism | 85.71 | 12 of 14 | ||
| 66794 | reductive acetyl coenzyme A pathway | 85.71 | 6 of 7 | ||
| 66794 | citric acid cycle | 85.71 | 12 of 14 | ||
| 66794 | purine metabolism | 85.11 | 80 of 94 | ||
| 66794 | phenylalanine metabolism | 84.62 | 11 of 13 | ||
| 66794 | methionine metabolism | 80.77 | 21 of 26 | ||
| 66794 | phenylacetate degradation (aerobic) | 80 | 4 of 5 | ||
| 66794 | vitamin K metabolism | 80 | 4 of 5 | ||
| 66794 | ethylmalonyl-CoA pathway | 80 | 4 of 5 | ||
| 66794 | threonine metabolism | 80 | 8 of 10 | ||
| 66794 | peptidoglycan biosynthesis | 80 | 12 of 15 | ||
| 66794 | alanine metabolism | 79.31 | 23 of 29 | ||
| 66794 | heme metabolism | 78.57 | 11 of 14 | ||
| 66794 | molybdenum cofactor biosynthesis | 77.78 | 7 of 9 | ||
| 66794 | NAD metabolism | 77.78 | 14 of 18 | ||
| 66794 | leucine metabolism | 76.92 | 10 of 13 | ||
| 66794 | androgen and estrogen metabolism | 75 | 12 of 16 | ||
| 66794 | isoleucine metabolism | 75 | 6 of 8 | ||
| 66794 | acetate fermentation | 75 | 3 of 4 | ||
| 66794 | CMP-KDO biosynthesis | 75 | 3 of 4 | ||
| 66794 | glycogen biosynthesis | 75 | 3 of 4 | ||
| 66794 | sulfopterin metabolism | 75 | 3 of 4 | ||
| 66794 | glutamate and glutamine metabolism | 75 | 21 of 28 | ||
| 66794 | lipid metabolism | 74.19 | 23 of 31 | ||
| 66794 | pyrimidine metabolism | 73.33 | 33 of 45 | ||
| 66794 | vitamin B6 metabolism | 72.73 | 8 of 11 | ||
| 66794 | cardiolipin biosynthesis | 71.43 | 5 of 7 | ||
| 66794 | ubiquinone biosynthesis | 71.43 | 5 of 7 | ||
| 66794 | glycolysis | 70.59 | 12 of 17 | ||
| 66794 | propionate fermentation | 70 | 7 of 10 | ||
| 66794 | vitamin B1 metabolism | 69.23 | 9 of 13 | ||
| 66794 | methane metabolism | 66.67 | 2 of 3 | ||
| 66794 | L-lactaldehyde degradation | 66.67 | 2 of 3 | ||
| 66794 | serine metabolism | 66.67 | 6 of 9 | ||
| 66794 | acetoin degradation | 66.67 | 2 of 3 | ||
| 66794 | tyrosine metabolism | 64.29 | 9 of 14 | ||
| 66794 | metabolism of disaccharids | 63.64 | 7 of 11 | ||
| 66794 | proline metabolism | 63.64 | 7 of 11 | ||
| 66794 | pentose phosphate pathway | 63.64 | 7 of 11 | ||
| 66794 | tryptophan metabolism | 63.16 | 24 of 38 | ||
| 66794 | arginine metabolism | 62.5 | 15 of 24 | ||
| 66794 | 6-hydroxymethyl-dihydropterin diphosphate biosynthesis | 62.5 | 5 of 8 | ||
| 66794 | dTDPLrhamnose biosynthesis | 62.5 | 5 of 8 | ||
| 66794 | histidine metabolism | 62.07 | 18 of 29 | ||
| 66794 | non-pathway related | 60.53 | 23 of 38 | ||
| 66794 | arachidonate biosynthesis | 60 | 3 of 5 | ||
| 66794 | flavin biosynthesis | 60 | 9 of 15 | ||
| 66794 | 3-chlorocatechol degradation | 60 | 3 of 5 | ||
| 66794 | gallate degradation | 60 | 3 of 5 | ||
| 66794 | 3-phenylpropionate degradation | 60 | 9 of 15 | ||
| 66794 | cellulose degradation | 60 | 3 of 5 | ||
| 66794 | degradation of aromatic, nitrogen containing compounds | 58.33 | 7 of 12 | ||
| 66794 | d-mannose degradation | 55.56 | 5 of 9 | ||
| 66794 | phenol degradation | 55 | 11 of 20 | ||
| 66794 | oxidative phosphorylation | 54.95 | 50 of 91 | ||
| 66794 | lysine metabolism | 54.76 | 23 of 42 | ||
| 66794 | isoprenoid biosynthesis | 53.85 | 14 of 26 | ||
| 66794 | phosphatidylethanolamine bioynthesis | 53.85 | 7 of 13 | ||
| 66794 | pantothenate biosynthesis | 50 | 3 of 6 | ||
| 66794 | ethanol fermentation | 50 | 1 of 2 | ||
| 66794 | phenylmercury acetate degradation | 50 | 1 of 2 | ||
| 66794 | butanoate fermentation | 50 | 2 of 4 | ||
| 66794 | cyclohexanol degradation | 50 | 2 of 4 | ||
| 66794 | ketogluconate metabolism | 50 | 4 of 8 | ||
| 66794 | cysteine metabolism | 50 | 9 of 18 | ||
| 66794 | bile acid biosynthesis, neutral pathway | 47.06 | 8 of 17 | ||
| 66794 | sulfate reduction | 46.15 | 6 of 13 | ||
| 66794 | urea cycle | 46.15 | 6 of 13 | ||
| 66794 | d-xylose degradation | 45.45 | 5 of 11 | ||
| 66794 | nitrate assimilation | 44.44 | 4 of 9 | ||
| 66794 | allantoin degradation | 44.44 | 4 of 9 | ||
| 66794 | arachidonic acid metabolism | 44.44 | 8 of 18 | ||
| 66794 | glycine metabolism | 40 | 4 of 10 | ||
| 66794 | factor 420 biosynthesis | 40 | 2 of 5 | ||
| 66794 | glycine betaine biosynthesis | 40 | 2 of 5 | ||
| 66794 | 4-hydroxyphenylacetate degradation | 40 | 4 of 10 | ||
| 66794 | lipoate biosynthesis | 40 | 2 of 5 | ||
| 66794 | ascorbate metabolism | 36.36 | 8 of 22 | ||
| 66794 | cholesterol biosynthesis | 36.36 | 4 of 11 | ||
| 66794 | 1,4-dihydroxy-6-naphthoate biosynthesis | 33.33 | 2 of 6 | ||
| 66794 | sphingosine metabolism | 33.33 | 2 of 6 | ||
| 66794 | cyanate degradation | 33.33 | 1 of 3 | ||
| 66794 | sulfoquinovose degradation | 33.33 | 1 of 3 | ||
| 66794 | selenocysteine biosynthesis | 33.33 | 2 of 6 | ||
| 66794 | glycolate and glyoxylate degradation | 33.33 | 2 of 6 | ||
| 66794 | IAA biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | 4-hydroxymandelate degradation | 33.33 | 3 of 9 | ||
| 66794 | (5R)-carbapenem carboxylate biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | acetyl CoA biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | phenylpropanoid biosynthesis | 30.77 | 4 of 13 | ||
| 66794 | polyamine pathway | 30.43 | 7 of 23 | ||
| 66794 | aclacinomycin biosynthesis | 28.57 | 2 of 7 | ||
| 66794 | degradation of hexoses | 27.78 | 5 of 18 | ||
| 66794 | dolichyl-diphosphooligosaccharide biosynthesis | 27.27 | 3 of 11 | ||
| 66794 | degradation of sugar alcohols | 25 | 4 of 16 | ||
| 66794 | lactate fermentation | 25 | 1 of 4 | ||
| 66794 | catecholamine biosynthesis | 25 | 1 of 4 | ||
| 66794 | alginate biosynthesis | 25 | 1 of 4 | ||
| 66794 | carnitine metabolism | 25 | 2 of 8 | ||
| 66794 | methanogenesis from CO2 | 25 | 3 of 12 | ||
| 66794 | toluene degradation | 25 | 1 of 4 | ||
| 66794 | degradation of pentoses | 21.43 | 6 of 28 |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Environmental | #Aquatic | #Freshwater | |
| #Environmental | #Aquatic | #Lake (large) | |
| #Environmental | #Aquatic | #Pond (small) | |
| #Environmental | #Aquatic | #River (Creek) |
| 29716 | Sample typefreshwater (river, lake, pond) |
Global distribution of 16S sequence EU313812 (>99% sequence identity) for Hydrocarboniphaga daqingensis subclade from Microbeatlas ![]()
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 98.20 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 91.60 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 99.90 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 99.50 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 97.64 | yes |
| 125438 | anaerobic | anaerobicⓘ | no | 96.34 | no |
| 125438 | aerobic | aerobicⓘ | yes | 87.98 | yes |
| 125438 | spore-forming | spore-formingⓘ | no | 88.25 | no |
| 125438 | thermophilic | thermophileⓘ | no | 98.00 | no |
| 125438 | flagellated | motile2+ⓘ | yes | 72.42 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Phylogeny | Hydrocarboniphaga daqingensis sp. nov., isolated from a freshwater lake. | Liu Y, Song XF, Jiang JT, Liu YH, Xu CJ, Li H, Liu ZP | Int J Syst Evol Microbiol | 10.1099/ijs.0.019380-0 | 2010 |
| #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 ) |
| #26099 | IJSEM 408 2011 ( DOI 10.1099/ijs.0.019380-0 , PubMed 20348325 ) |
| #29716 | 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 #26099 |
| #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 . |
| #124043 | Isabel Schober, Julia Koblitz: Data extracted from sequence databases, automatically matched based on designation and taxonomy . |
| #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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