Aminobacterium colombiense ALA-1 is an anaerobe, mesophilic bacterium that was isolated from anaerobic lagoon of dairy wastewater treatment plant.
anaerobe mesophilic genome sequence 16S sequence Bacteria|
|
| Domain Bacteria |
| Phylum Synergistota |
| Class Synergistia |
| Order Synergistales |
| Family Synergistaceae |
| Genus Aminobacterium |
| Species Aminobacterium colombiense |
| Full scientific name Aminobacterium colombiense Baena et al. 1999 |
| @ref | Gram stain | Confidence | |
|---|---|---|---|
| 125439 | negative | 90.7 |
| @ref: | 66793 |
| manual_annotation: | 1 |
| multimedia content: | EM_DSM_12261_1.jpg |
| multimedia.multimedia content: | EM_DSM_12261_1.jpg |
| caption: | electron microscopic image |
| intellectual property rights: | © HZI/Manfred Rohde |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 4661 | AMINOMONAS MEDIUM (DSMZ Medium 846) | Medium recipe at MediaDive | Name: AMINOMONAS MEDIUM (DSMZ Medium 846) Composition: Yeast extract 1.99402 g/l Na2CO3 1.49551 g/l L-Serine 1.04686 g/l NaCl 0.997009 g/l Na2S x 9 H2O 0.498504 g/l KCl 0.498504 g/l L-Cysteine HCl x H2O 0.498504 g/l MgCl2 x 6 H2O 0.398804 g/l KH2PO4 0.299103 g/l NH4Cl 0.299103 g/l K2HPO4 0.199402 g/l CaCl2 x 2 H2O 0.149551 g/l HCl 0.00249252 g/l FeCl2 x 4 H2O 0.00149551 g/l Sodium resazurin 0.000498504 g/l NaOH 0.000498504 g/l CoCl2 x 6 H2O 0.000189432 g/l Pyridoxine hydrochloride 9.97009e-05 g/l MnCl2 x 4 H2O 9.97009e-05 g/l ZnCl2 6.97906e-05 g/l p-Aminobenzoic acid 4.98504e-05 g/l (DL)-alpha-Lipoic acid 4.98504e-05 g/l Calcium D-(+)-pantothenate 4.98504e-05 g/l Nicotinic acid 4.98504e-05 g/l Riboflavin 4.98504e-05 g/l Thiamine HCl 4.98504e-05 g/l Na2MoO4 x 2 H2O 3.58923e-05 g/l NiCl2 x 6 H2O 2.39282e-05 g/l Folic acid 1.99402e-05 g/l Biotin 1.99402e-05 g/l H3BO3 5.98205e-06 g/l Na2WO4 x 2 H2O 3.98804e-06 g/l Na2SeO3 x 5 H2O 2.99103e-06 g/l CuCl2 x 2 H2O 1.99402e-06 g/l Vitamin B12 9.97009e-07 g/l Distilled water |
| @ref | Growth | Type | Temperature (°C) | Range | |
|---|---|---|---|---|---|
| 4661 | positive | growth | 37 | mesophilic |
| @ref | pathway | enzyme coverage | annotated reactions | external links | |
|---|---|---|---|---|---|
| 66794 | threonine metabolism | 100 | 10 of 10 | ||
| 66794 | ppGpp biosynthesis | 100 | 4 of 4 | ||
| 66794 | butanoate fermentation | 100 | 4 of 4 | ||
| 66794 | C4 and CAM-carbon fixation | 100 | 8 of 8 | ||
| 66794 | gluconeogenesis | 100 | 8 of 8 | ||
| 66794 | formaldehyde oxidation | 100 | 3 of 3 | ||
| 66794 | coenzyme A metabolism | 100 | 4 of 4 | ||
| 66794 | sulfopterin metabolism | 100 | 4 of 4 | ||
| 66794 | CDP-diacylglycerol biosynthesis | 100 | 2 of 2 | ||
| 66794 | UDP-GlcNAc biosynthesis | 100 | 3 of 3 | ||
| 66794 | folate polyglutamylation | 100 | 1 of 1 | ||
| 66794 | suberin monomers biosynthesis | 100 | 2 of 2 | ||
| 66794 | anapleurotic synthesis of oxalacetate | 100 | 1 of 1 | ||
| 66794 | CMP-KDO biosynthesis | 100 | 4 of 4 | ||
| 66794 | palmitate biosynthesis | 95.45 | 21 of 22 | ||
| 66794 | lipid A biosynthesis | 88.89 | 8 of 9 | ||
| 66794 | peptidoglycan biosynthesis | 80 | 12 of 15 | ||
| 66794 | hydrogen production | 80 | 4 of 5 | ||
| 66794 | glycine betaine biosynthesis | 80 | 4 of 5 | ||
| 66794 | propionate fermentation | 80 | 8 of 10 | ||
| 66794 | flavin biosynthesis | 80 | 12 of 15 | ||
| 66794 | citric acid cycle | 78.57 | 11 of 14 | ||
| 66794 | serine metabolism | 77.78 | 7 of 9 | ||
| 66794 | d-mannose degradation | 77.78 | 7 of 9 | ||
| 66794 | vitamin B1 metabolism | 76.92 | 10 of 13 | ||
| 66794 | 6-hydroxymethyl-dihydropterin diphosphate biosynthesis | 75 | 6 of 8 | ||
| 66794 | glutamate and glutamine metabolism | 75 | 21 of 28 | ||
| 66794 | glycogen biosynthesis | 75 | 3 of 4 | ||
| 66794 | acetate fermentation | 75 | 3 of 4 | ||
| 66794 | NAD metabolism | 72.22 | 13 of 18 | ||
| 66794 | photosynthesis | 71.43 | 10 of 14 | ||
| 66794 | cardiolipin biosynthesis | 71.43 | 5 of 7 | ||
| 66794 | phenylalanine metabolism | 69.23 | 9 of 13 | ||
| 66794 | purine metabolism | 67.02 | 63 of 94 | ||
| 66794 | aspartate and asparagine metabolism | 66.67 | 6 of 9 | ||
| 66794 | octane oxidation | 66.67 | 2 of 3 | ||
| 66794 | enterobactin biosynthesis | 66.67 | 2 of 3 | ||
| 66794 | acetoin degradation | 66.67 | 2 of 3 | ||
| 66794 | selenocysteine biosynthesis | 66.67 | 4 of 6 | ||
| 66794 | molybdenum cofactor biosynthesis | 66.67 | 6 of 9 | ||
| 66794 | L-lactaldehyde degradation | 66.67 | 2 of 3 | ||
| 66794 | pyrimidine metabolism | 66.67 | 30 of 45 | ||
| 66794 | alanine metabolism | 65.52 | 19 of 29 | ||
| 66794 | histidine metabolism | 65.52 | 19 of 29 | ||
| 66794 | glycolysis | 64.71 | 11 of 17 | ||
| 66794 | proline metabolism | 63.64 | 7 of 11 | ||
| 66794 | isoleucine metabolism | 62.5 | 5 of 8 | ||
| 66794 | urea cycle | 61.54 | 8 of 13 | ||
| 66794 | leucine metabolism | 61.54 | 8 of 13 | ||
| 66794 | cysteine metabolism | 61.11 | 11 of 18 | ||
| 66794 | starch degradation | 60 | 6 of 10 | ||
| 66794 | Entner Doudoroff pathway | 60 | 6 of 10 | ||
| 66794 | methylglyoxal degradation | 60 | 3 of 5 | ||
| 66794 | glycogen metabolism | 60 | 3 of 5 | ||
| 66794 | factor 420 biosynthesis | 60 | 3 of 5 | ||
| 66794 | methionine metabolism | 57.69 | 15 of 26 | ||
| 66794 | reductive acetyl coenzyme A pathway | 57.14 | 4 of 7 | ||
| 66794 | propanol degradation | 57.14 | 4 of 7 | ||
| 66794 | oxidative phosphorylation | 57.14 | 52 of 91 | ||
| 66794 | CO2 fixation in Crenarchaeota | 55.56 | 5 of 9 | ||
| 66794 | pentose phosphate pathway | 54.55 | 6 of 11 | ||
| 66794 | lysine metabolism | 52.38 | 22 of 42 | ||
| 66794 | cis-vaccenate biosynthesis | 50 | 1 of 2 | ||
| 66794 | tetrahydrofolate metabolism | 50 | 7 of 14 | ||
| 66794 | non-pathway related | 50 | 19 of 38 | ||
| 66794 | ethanol fermentation | 50 | 1 of 2 | ||
| 66794 | adipate degradation | 50 | 1 of 2 | ||
| 66794 | myo-inositol biosynthesis | 50 | 5 of 10 | ||
| 66794 | lactate fermentation | 50 | 2 of 4 | ||
| 66794 | kanosamine biosynthesis II | 50 | 1 of 2 | ||
| 66794 | ribulose monophosphate pathway | 50 | 1 of 2 | ||
| 66794 | pantothenate biosynthesis | 50 | 3 of 6 | ||
| 66794 | glycolate and glyoxylate degradation | 50 | 3 of 6 | ||
| 66794 | dolichol and dolichyl phosphate biosynthesis | 50 | 1 of 2 | ||
| 66794 | degradation of aromatic, nitrogen containing compounds | 50 | 6 of 12 | ||
| 66794 | glycine metabolism | 50 | 5 of 10 | ||
| 66794 | glutathione metabolism | 50 | 7 of 14 | ||
| 66794 | biotin biosynthesis | 50 | 2 of 4 | ||
| 66794 | isoprenoid biosynthesis | 46.15 | 12 of 26 | ||
| 66794 | phosphatidylethanolamine bioynthesis | 46.15 | 6 of 13 | ||
| 66794 | metabolism of disaccharids | 45.45 | 5 of 11 | ||
| 66794 | valine metabolism | 44.44 | 4 of 9 | ||
| 66794 | degradation of hexoses | 44.44 | 8 of 18 | ||
| 66794 | allantoin degradation | 44.44 | 4 of 9 | ||
| 66794 | chorismate metabolism | 44.44 | 4 of 9 | ||
| 66794 | degradation of sugar acids | 44 | 11 of 25 | ||
| 66794 | ubiquinone biosynthesis | 42.86 | 3 of 7 | ||
| 66794 | tryptophan metabolism | 42.11 | 16 of 38 | ||
| 66794 | arginine metabolism | 41.67 | 10 of 24 | ||
| 66794 | 4-hydroxyphenylacetate degradation | 40 | 4 of 10 | ||
| 66794 | gallate degradation | 40 | 2 of 5 | ||
| 66794 | coenzyme M biosynthesis | 40 | 4 of 10 | ||
| 66794 | lipoate biosynthesis | 40 | 2 of 5 | ||
| 66794 | ethylmalonyl-CoA pathway | 40 | 2 of 5 | ||
| 66794 | dTDPLrhamnose biosynthesis | 37.5 | 3 of 8 | ||
| 66794 | degradation of sugar alcohols | 37.5 | 6 of 16 | ||
| 66794 | ketogluconate metabolism | 37.5 | 3 of 8 | ||
| 66794 | tyrosine metabolism | 35.71 | 5 of 14 | ||
| 66794 | lipid metabolism | 35.48 | 11 of 31 | ||
| 66794 | cyanate degradation | 33.33 | 1 of 3 | ||
| 66794 | acetyl CoA biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | IAA biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | 3-phenylpropionate degradation | 33.33 | 5 of 15 | ||
| 66794 | nitrate assimilation | 33.33 | 3 of 9 | ||
| 66794 | sulfate reduction | 30.77 | 4 of 13 | ||
| 66794 | polyamine pathway | 26.09 | 6 of 23 | ||
| 66794 | cyclohexanol degradation | 25 | 1 of 4 | ||
| 66794 | toluene degradation | 25 | 1 of 4 | ||
| 66794 | vitamin E metabolism | 25 | 1 of 4 | ||
| 66794 | phenol degradation | 25 | 5 of 20 | ||
| 66794 | degradation of pentoses | 25 | 7 of 28 | ||
| 66794 | ascorbate metabolism | 22.73 | 5 of 22 |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Engineered | #Food production | #Dairy product | |
| #Engineered | #Waste | #Water treatment plant | |
| #Condition | #Anoxic (anaerobic) | - |
| @ref | Sample type | Country | Country ISO 3 Code | Continent | |
|---|---|---|---|---|---|
| 4661 | anaerobic lagoon of dairy wastewater treatment plant | Colombia | COL | Middle and South America |
Global distribution of 16S sequence AF069287 (>99% sequence identity) for Aminobacterium colombiense subclade from Microbeatlas ![]()
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 86.60 | no |
| 125439 | motility | BacteriaNetⓘ | no | 52.50 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 90.70 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 71.50 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 86.45 | no |
| 125438 | anaerobic | anaerobicⓘ | yes | 95.13 | yes |
| 125438 | aerobic | aerobicⓘ | no | 96.72 | yes |
| 125438 | spore-forming | spore-formingⓘ | no | 81.42 | no |
| 125438 | thermophilic | thermophileⓘ | no | 72.83 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 84.43 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Genetics | Complete genome sequence of Aminobacterium colombiense type strain (ALA-1). | Chertkov O, Sikorski J, Brambilla E, Lapidus A, Copeland A, Glavina Del Rio T, Nolan M, Lucas S, Tice H, Cheng JF, Han C, Detter JC, Bruce D, Tapia R, Goodwin L, Pitluck S, Liolios K, Ivanova N, Mavromatis K, Ovchinnikova G, Pati A, Chen A, Palaniappan K, Land M, Hauser L, Chang YJ, Jeffries CD, Spring S, Rohde M, Goker M, Bristow J, Eisen JA, Markowitz V, Hugenholtz P, Kyrpides NC, Klenk HP | Stand Genomic Sci | 10.4056/sigs.902116 | 2010 | |
| Phylogeny | Aminobacterium colombiensegen. nov. sp. nov., an amino acid-degrading anaerobe isolated from anaerobic sludge. | Baena S, Fardeau ML, Labat M, Ollivier B, Thomas P, Garcia JL, Patel BK | Anaerobe | 10.1006/anae.1998.0170 | 1998 |
| Culture collection no. | |
|---|---|
| DSM 12261 | |
| ALA-1 |
| #4661 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 12261 |
| #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 ) |
| #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) . |
| #66793 | Mukherjee et al.: GEBA: 1,003 reference genomes of bacterial and archaeal isolates expand coverage of the tree of life. 35: 676 - 683 2017 ( DOI 10.1038/nbt.3886 , PubMed 28604660 ) |
| #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 . |
| #86758 | Reimer, L.C., Lissin, A.,Schober, I., Witte,J.F., Podstawka, A., Lüken, H., Bunk, B.,Overmann, J.: StrainInfo: A central database for resolving microbial strain identifiers . ( DOI 10.60712/SI-ID49260.1 ) |
| #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 . |
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