Amycolatopsis arida RA45 is an aerobe, Gram-positive, rod-shaped bacterium that was isolated from soil from a desert region.
Gram-positive rod-shaped aerobe genome sequence 16S sequence Bacteria| @ref 20215 |
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| Domain Bacteria |
| Phylum Actinomycetota |
| Class Actinomycetes |
| Order Pseudonocardiales |
| Family Pseudonocardiaceae |
| Genus Amycolatopsis |
| Species Amycolatopsis arida |
| Full scientific name Amycolatopsis arida Nouioui et al. 2018 |
| Synonyms (1) |
| 29726 | Productionyes |
| @ref: | 17971 |
| multimedia content: | DSM_45648.jpg |
| multimedia.multimedia content: | https://www.dsmz.de/microorganisms/photos/DSM_45648.jpg |
| caption: | Medium 65 28°C |
| intellectual property rights: | © Leibniz-Institut DSMZ |
| manual_annotation: | 1 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 17971 | GPHF-MEDIUM (DSMZ Medium 553) | Medium recipe at MediaDive | Name: GPHF-MEDIUM (DSMZ Medium 553) Composition: Agar 20.0 g/l Glucose 10.0 g/l Beef extract 5.0 g/l Yeast extract 5.0 g/l Casein peptone 5.0 g/l CaCl2 x 2 H2O 0.74 g/l Distilled water | ||
| 17971 | GYM STREPTOMYCES MEDIUM (DSMZ Medium 65) | Medium recipe at MediaDive | Name: GYM STREPTOMYCES MEDIUM (DSMZ Medium 65) Composition: Agar 18.0 g/l Malt extract 10.0 g/l Yeast extract 4.0 g/l Glucose 4.0 g/l CaCO3 2.0 g/l Distilled water |
| @ref | Ability | Type | PH | PH range | |
|---|---|---|---|---|---|
| 29726 | positive | optimum | 9 | alkaliphile |
| 29726 | Spore formationno |
| @ref | Salt | Growth | Tested relation | Concentration | |
|---|---|---|---|---|---|
| 29726 | NaCl | positive | optimum | 3.5 % |
| 67770 | Observationquinones: MK-9(H4), MK-9, MK-9(H2) |
| @ref | Chebi-ID | Metabolite | Utilization activity | Kind of utilization tested | |
|---|---|---|---|---|---|
| 68369 | 29016 ChEBI | arginine | - | hydrolysis | from API 20NE |
| 68369 | 17634 ChEBI | D-glucose | - | fermentation | from API 20NE |
| 68369 | 27689 ChEBI | decanoate | - | assimilation | from API 20NE |
| 68369 | 4853 ChEBI | esculin | - | hydrolysis | from API 20NE |
| 68369 | 5291 ChEBI | gelatin | - | hydrolysis | from API 20NE |
| 68369 | 24265 ChEBI | gluconate | + | assimilation | from API 20NE |
| 68369 | 17306 ChEBI | maltose | + | assimilation | from API 20NE |
| 68369 | 59640 ChEBI | N-acetylglucosamine | + | assimilation | from API 20NE |
| 68369 | 17632 ChEBI | nitrate | - | reduction | from API 20NE |
| 68369 | 27897 ChEBI | tryptophan | - | energy source | from API 20NE |
| 68369 | 16199 ChEBI | urea | - | hydrolysis | from API 20NE |
| @ref | Value | Activity | Ec | |
|---|---|---|---|---|
| 68382 | acid phosphatase | - | 3.1.3.2 | from API zym |
| 68382 | alkaline phosphatase | + | 3.1.3.1 | from API zym |
| 68382 | alpha-chymotrypsin | + | 3.4.21.1 | from API zym |
| 68382 | alpha-fucosidase | - | 3.2.1.51 | from API zym |
| 68382 | alpha-galactosidase | - | 3.2.1.22 | from API zym |
| 68382 | alpha-glucosidase | + | 3.2.1.20 | from API zym |
| 68382 | alpha-mannosidase | - | 3.2.1.24 | from API zym |
| 68369 | arginine dihydrolase | - | 3.5.3.6 | from API 20NE |
| 68382 | beta-galactosidase | - | 3.2.1.23 | from API zym |
| 68382 | beta-glucosidase | - | 3.2.1.21 | from API zym |
| 68369 | beta-glucosidase | - | 3.2.1.21 | from API 20NE |
| 68382 | beta-glucuronidase | - | 3.2.1.31 | from API zym |
| 68382 | esterase lipase (C 8) | + | from API zym | |
| 68369 | gelatinase | - | from API 20NE | |
| 68382 | leucine arylamidase | + | 3.4.11.1 | from API zym |
| 68382 | N-acetyl-beta-glucosaminidase | + | 3.2.1.52 | from API zym |
| 68382 | naphthol-AS-BI-phosphohydrolase | - | from API zym | |
| 68382 | trypsin | - | 3.4.21.4 | from API zym |
| 29726 | urease | + | 3.5.1.5 | |
| 68369 | urease | - | 3.5.1.5 | from API 20NE |
| 68382 | valine arylamidase | + | from API zym |
| @ref | pathway | enzyme coverage | annotated reactions | external links | |
|---|---|---|---|---|---|
| 66794 | enterobactin biosynthesis | 100 | 3 of 3 | ||
| 66794 | phenylacetate degradation (aerobic) | 100 | 5 of 5 | ||
| 66794 | ethanol fermentation | 100 | 2 of 2 | ||
| 66794 | myo-inositol biosynthesis | 100 | 10 of 10 | ||
| 66794 | glycogen metabolism | 100 | 5 of 5 | ||
| 66794 | cis-vaccenate biosynthesis | 100 | 2 of 2 | ||
| 66794 | phenylmercury acetate degradation | 100 | 2 of 2 | ||
| 66794 | adipate degradation | 100 | 2 of 2 | ||
| 66794 | 4-hydroxymandelate degradation | 100 | 9 of 9 | ||
| 66794 | molybdenum cofactor biosynthesis | 100 | 9 of 9 | ||
| 66794 | acetate fermentation | 100 | 4 of 4 | ||
| 66794 | palmitate biosynthesis | 100 | 22 of 22 | ||
| 66794 | ppGpp biosynthesis | 100 | 4 of 4 | ||
| 66794 | biotin biosynthesis | 100 | 4 of 4 | ||
| 66794 | methylglyoxal degradation | 100 | 5 of 5 | ||
| 66794 | valine metabolism | 100 | 9 of 9 | ||
| 66794 | glycolate and glyoxylate degradation | 100 | 6 of 6 | ||
| 66794 | CDP-diacylglycerol biosynthesis | 100 | 2 of 2 | ||
| 66794 | UDP-GlcNAc biosynthesis | 100 | 3 of 3 | ||
| 66794 | vitamin K metabolism | 100 | 5 of 5 | ||
| 66794 | suberin monomers biosynthesis | 100 | 2 of 2 | ||
| 66794 | teichoic acid biosynthesis | 100 | 1 of 1 | ||
| 66794 | coenzyme A metabolism | 100 | 4 of 4 | ||
| 66794 | formaldehyde oxidation | 100 | 3 of 3 | ||
| 66794 | ceramide biosynthesis | 100 | 1 of 1 | ||
| 66794 | folate polyglutamylation | 100 | 1 of 1 | ||
| 66794 | aerobactin biosynthesis | 100 | 1 of 1 | ||
| 66794 | cellulose degradation | 100 | 5 of 5 | ||
| 66794 | anapleurotic synthesis of oxalacetate | 100 | 1 of 1 | ||
| 66794 | citric acid cycle | 92.86 | 13 of 14 | ||
| 66794 | phenylalanine metabolism | 92.31 | 12 of 13 | ||
| 66794 | leucine metabolism | 92.31 | 12 of 13 | ||
| 66794 | proline metabolism | 90.91 | 10 of 11 | ||
| 66794 | pentose phosphate pathway | 90.91 | 10 of 11 | ||
| 66794 | Entner Doudoroff pathway | 90 | 9 of 10 | ||
| 66794 | threonine metabolism | 90 | 9 of 10 | ||
| 66794 | chorismate metabolism | 88.89 | 8 of 9 | ||
| 66794 | serine metabolism | 88.89 | 8 of 9 | ||
| 66794 | CO2 fixation in Crenarchaeota | 88.89 | 8 of 9 | ||
| 66794 | aspartate and asparagine metabolism | 88.89 | 8 of 9 | ||
| 66794 | dTDPLrhamnose biosynthesis | 87.5 | 7 of 8 | ||
| 66794 | ketogluconate metabolism | 87.5 | 7 of 8 | ||
| 66794 | peptidoglycan biosynthesis | 86.67 | 13 of 15 | ||
| 66794 | flavin biosynthesis | 86.67 | 13 of 15 | ||
| 66794 | reductive acetyl coenzyme A pathway | 85.71 | 6 of 7 | ||
| 66794 | aclacinomycin biosynthesis | 85.71 | 6 of 7 | ||
| 66794 | heme metabolism | 85.71 | 12 of 14 | ||
| 66794 | purine metabolism | 85.11 | 80 of 94 | ||
| 66794 | NAD metabolism | 83.33 | 15 of 18 | ||
| 66794 | alanine metabolism | 82.76 | 24 of 29 | ||
| 66794 | glycolysis | 82.35 | 14 of 17 | ||
| 66794 | vitamin B12 metabolism | 82.35 | 28 of 34 | ||
| 66794 | glutamate and glutamine metabolism | 82.14 | 23 of 28 | ||
| 66794 | ethylmalonyl-CoA pathway | 80 | 4 of 5 | ||
| 66794 | 3-chlorocatechol degradation | 80 | 4 of 5 | ||
| 66794 | glycine betaine biosynthesis | 80 | 4 of 5 | ||
| 66794 | factor 420 biosynthesis | 80 | 4 of 5 | ||
| 66794 | gallate degradation | 80 | 4 of 5 | ||
| 66794 | propionate fermentation | 80 | 8 of 10 | ||
| 66794 | glutathione metabolism | 78.57 | 11 of 14 | ||
| 66794 | photosynthesis | 78.57 | 11 of 14 | ||
| 66794 | d-mannose degradation | 77.78 | 7 of 9 | ||
| 66794 | allantoin degradation | 77.78 | 7 of 9 | ||
| 66794 | urea cycle | 76.92 | 10 of 13 | ||
| 66794 | vitamin B1 metabolism | 76.92 | 10 of 13 | ||
| 66794 | tryptophan metabolism | 76.32 | 29 of 38 | ||
| 66794 | pyrimidine metabolism | 75.56 | 34 of 45 | ||
| 66794 | gluconeogenesis | 75 | 6 of 8 | ||
| 66794 | isoleucine metabolism | 75 | 6 of 8 | ||
| 66794 | phenol degradation | 75 | 15 of 20 | ||
| 66794 | 6-hydroxymethyl-dihydropterin diphosphate biosynthesis | 75 | 6 of 8 | ||
| 66794 | sulfopterin metabolism | 75 | 3 of 4 | ||
| 66794 | CMP-KDO biosynthesis | 75 | 3 of 4 | ||
| 66794 | butanoate fermentation | 75 | 3 of 4 | ||
| 66794 | cyclohexanol degradation | 75 | 3 of 4 | ||
| 66794 | glycogen biosynthesis | 75 | 3 of 4 | ||
| 66794 | lipid metabolism | 74.19 | 23 of 31 | ||
| 66794 | non-pathway related | 73.68 | 28 of 38 | ||
| 66794 | carotenoid biosynthesis | 72.73 | 16 of 22 | ||
| 66794 | metabolism of disaccharids | 72.73 | 8 of 11 | ||
| 66794 | vitamin B6 metabolism | 72.73 | 8 of 11 | ||
| 66794 | histidine metabolism | 72.41 | 21 of 29 | ||
| 66794 | cardiolipin biosynthesis | 71.43 | 5 of 7 | ||
| 66794 | tetrahydrofolate metabolism | 71.43 | 10 of 14 | ||
| 66794 | tyrosine metabolism | 71.43 | 10 of 14 | ||
| 66794 | propanol degradation | 71.43 | 5 of 7 | ||
| 66794 | arginine metabolism | 70.83 | 17 of 24 | ||
| 66794 | 4-hydroxyphenylacetate degradation | 70 | 7 of 10 | ||
| 66794 | phosphatidylethanolamine bioynthesis | 69.23 | 9 of 13 | ||
| 66794 | degradation of sugar alcohols | 68.75 | 11 of 16 | ||
| 66794 | cyanate degradation | 66.67 | 2 of 3 | ||
| 66794 | lipid A biosynthesis | 66.67 | 6 of 9 | ||
| 66794 | acetyl CoA biosynthesis | 66.67 | 2 of 3 | ||
| 66794 | octane oxidation | 66.67 | 2 of 3 | ||
| 66794 | acetoin degradation | 66.67 | 2 of 3 | ||
| 66794 | L-lactaldehyde degradation | 66.67 | 2 of 3 | ||
| 66794 | oxidative phosphorylation | 65.93 | 60 of 91 | ||
| 66794 | methionine metabolism | 65.38 | 17 of 26 | ||
| 66794 | polyamine pathway | 65.22 | 15 of 23 | ||
| 66794 | androgen and estrogen metabolism | 62.5 | 10 of 16 | ||
| 66794 | C4 and CAM-carbon fixation | 62.5 | 5 of 8 | ||
| 66794 | lysine metabolism | 61.9 | 26 of 42 | ||
| 66794 | isoprenoid biosynthesis | 61.54 | 16 of 26 | ||
| 66794 | cysteine metabolism | 61.11 | 11 of 18 | ||
| 66794 | degradation of pentoses | 60.71 | 17 of 28 | ||
| 66794 | lipoate biosynthesis | 60 | 3 of 5 | ||
| 66794 | 3-phenylpropionate degradation | 60 | 9 of 15 | ||
| 66794 | metabolism of amino sugars and derivatives | 60 | 3 of 5 | ||
| 66794 | starch degradation | 60 | 6 of 10 | ||
| 66794 | coenzyme M biosynthesis | 60 | 6 of 10 | ||
| 66794 | degradation of sugar acids | 60 | 15 of 25 | ||
| 66794 | degradation of aromatic, nitrogen containing compounds | 58.33 | 7 of 12 | ||
| 66794 | ubiquinone biosynthesis | 57.14 | 4 of 7 | ||
| 66794 | daunorubicin biosynthesis | 55.56 | 5 of 9 | ||
| 66794 | degradation of hexoses | 55.56 | 10 of 18 | ||
| 66794 | bile acid biosynthesis, neutral pathway | 52.94 | 9 of 17 | ||
| 66794 | toluene degradation | 50 | 2 of 4 | ||
| 66794 | glycine metabolism | 50 | 5 of 10 | ||
| 66794 | selenocysteine biosynthesis | 50 | 3 of 6 | ||
| 66794 | mannosylglycerate biosynthesis | 50 | 1 of 2 | ||
| 66794 | pantothenate biosynthesis | 50 | 3 of 6 | ||
| 66794 | resorcinol degradation | 50 | 1 of 2 | ||
| 66794 | aminopropanol phosphate biosynthesis | 50 | 1 of 2 | ||
| 66794 | lactate fermentation | 50 | 2 of 4 | ||
| 66794 | vitamin E metabolism | 50 | 2 of 4 | ||
| 66794 | ribulose monophosphate pathway | 50 | 1 of 2 | ||
| 66794 | kanosamine biosynthesis II | 50 | 1 of 2 | ||
| 66794 | sulfate reduction | 46.15 | 6 of 13 | ||
| 66794 | cholesterol biosynthesis | 45.45 | 5 of 11 | ||
| 66794 | nitrate assimilation | 44.44 | 4 of 9 | ||
| 66794 | benzoyl-CoA degradation | 42.86 | 3 of 7 | ||
| 66794 | D-cycloserine biosynthesis | 40 | 2 of 5 | ||
| 66794 | arachidonate biosynthesis | 40 | 2 of 5 | ||
| 66794 | phenylpropanoid biosynthesis | 38.46 | 5 of 13 | ||
| 66794 | ascorbate metabolism | 36.36 | 8 of 22 | ||
| 66794 | d-xylose degradation | 36.36 | 4 of 11 | ||
| 66794 | sulfoquinovose degradation | 33.33 | 1 of 3 | ||
| 66794 | methane metabolism | 33.33 | 1 of 3 | ||
| 66794 | sphingosine metabolism | 33.33 | 2 of 6 | ||
| 66794 | (5R)-carbapenem carboxylate biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | IAA biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | mevalonate metabolism | 28.57 | 2 of 7 | ||
| 66794 | dolichyl-diphosphooligosaccharide biosynthesis | 27.27 | 3 of 11 | ||
| 66794 | carnitine metabolism | 25 | 2 of 8 | ||
| 66794 | alginate biosynthesis | 25 | 1 of 4 | ||
| 66794 | catecholamine biosynthesis | 25 | 1 of 4 | ||
| 66794 | arachidonic acid metabolism | 22.22 | 4 of 18 |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Environmental | #Terrestrial | #Desert | |
| #Environmental | #Terrestrial | #Soil |
Global distribution of 16S sequence FJ526746 (>99% sequence identity) for Amycolatopsis arida subclade from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 67770 | IMG-taxon 2675903051 annotated assembly for Amycolatopsis arida CGMCC 4.5579 | scaffold | 587909 | 72.86 | ||||
| 67770 | ASM436592v1 assembly for Amycolatopsis arida DSM 45648 | contig | 587909 | 72.44 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 17971 | Amycolatopsis arida 16S ribosomal RNA gene, partial sequence | FJ526746 | 1493 | 587909 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 99.61 | no |
| 125439 | gram_stain | BacteriaNetⓘ | positive | 99.49 | no |
| 125439 | spore_formation | BacteriaNetⓘ | yes | 78.51 | no |
| 125439 | motility | BacteriaNetⓘ | no | 90.36 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 88.99 | yes |
| 125438 | anaerobic | anaerobicⓘ | no | 97.93 | no |
| 125438 | spore-forming | spore-formingⓘ | yes | 67.67 | yes |
| 125438 | thermophilic | thermophileⓘ | no | 90.96 | yes |
| 125438 | aerobic | aerobicⓘ | yes | 91.28 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 90.50 | yes |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Genetics | Genome-Based Taxonomic Classification of the Phylum Actinobacteria. | Nouioui I, Carro L, Garcia-Lopez M, Meier-Kolthoff JP, Woyke T, Kyrpides NC, Pukall R, Klenk HP, Goodfellow M, Goker M. | Front Microbiol | 10.3389/fmicb.2018.02007 | 2018 | |
| Enzymology | Cytochrome P450 Mediated Cyclization in Eunicellane Derived Diterpenoid Biosynthesis. | Wang Z, Yang Q, He J, Li H, Pan X, Li Z, Xu HM, Rudolf JD, Tantillo DJ, Dong LB. | Angew Chem Int Ed Engl | 10.1002/anie.202312490 | 2023 | |
| Building Streptomyces albus as a chassis for synthesis of bacterial terpenoids. | Hu YL, Zhang Q, Liu SH, Sun JL, Yin FZ, Wang ZR, Shi J, Jiao RH, Ge HM. | Chem Sci | 10.1039/d2sc06033g | 2023 | ||
| Phylogeny | Yuhushiella deserti gen. nov., sp. nov., a new member of the suborder Pseudonocardineae. | Mao J, Wang J, Dai HQ, Zhang ZD, Tang QY, Ren B, Yang N, Goodfellow M, Zhang LX, Liu ZH | Int J Syst Evol Microbiol | 10.1099/ijs.0.019588-0 | 2010 |
| #17971 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 45648 |
| #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 ) |
| #26109 | IJSEM 621 2011 ( DOI 10.1099/ijs.0.019588-0 , PubMed 20400669 ) |
| #29726 | 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 #26109 |
| #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 ) |
| #67770 | Japan Collection of Microorganism (JCM) ; Curators of the JCM; |
| #68369 | Automatically annotated from API 20NE . |
| #68382 | Automatically annotated from API zym . |
| #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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