Streptomyces subrutilus DSM 40445 is a bacterium that produces antibiotic compounds and was isolated from Soil.
antibiotic compound production genome sequence 16S sequence Bacteria| @ref 20215 |
|
|
| Domain Bacteria |
| Phylum Actinomycetota |
| Class Actinomycetes |
| Order Kitasatosporales |
| Family Streptomycetaceae |
| Genus Streptomyces |
| Species Streptomyces subrutilus |
| Full scientific name Streptomyces subrutilus Arai et al. 1964 (Approved Lists 1980) |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 9549 | 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 | ||
| 9549 | ROLLED OATS MINERAL MEDIUM (DSMZ Medium 84) | Medium recipe at MediaDive | Name: ROLLED OATS MINERAL MEDIUM (DSMZ Medium 84) Composition: Agar 20.0 g/l Rolled oats 20.0 g/l ZnSO4 x 7 H2O 0.001 g/l MnCl2 x 4 H2O 0.001 g/l FeSO4 x 7 H2O 0.001 g/l Distilled water |
| @ref | Oxygen tolerance | Confidence | |
|---|---|---|---|
| 125439 | obligate aerobe | 99.067 |
| @ref | Spore formation | Confidence | |
|---|---|---|---|
| 125438 | 90.763 |
| 9549 | Compoundhydroxystreptomycin |
| @ref | pathway | enzyme coverage | annotated reactions | external links | |
|---|---|---|---|---|---|
| 66794 | 1,4-dihydroxy-6-naphthoate biosynthesis | 100 | 6 of 6 | ||
| 66794 | methylglyoxal degradation | 100 | 5 of 5 | ||
| 66794 | UDP-GlcNAc biosynthesis | 100 | 3 of 3 | ||
| 66794 | valine metabolism | 100 | 9 of 9 | ||
| 66794 | cardiolipin biosynthesis | 100 | 7 of 7 | ||
| 66794 | biotin biosynthesis | 100 | 4 of 4 | ||
| 66794 | formaldehyde oxidation | 100 | 3 of 3 | ||
| 66794 | glycogen metabolism | 100 | 5 of 5 | ||
| 66794 | glycine betaine biosynthesis | 100 | 5 of 5 | ||
| 66794 | cis-vaccenate biosynthesis | 100 | 2 of 2 | ||
| 66794 | aclacinomycin biosynthesis | 100 | 7 of 7 | ||
| 66794 | glycolate and glyoxylate degradation | 100 | 6 of 6 | ||
| 66794 | adipate degradation | 100 | 2 of 2 | ||
| 66794 | phenylacetate degradation (aerobic) | 100 | 5 of 5 | ||
| 66794 | starch degradation | 100 | 10 of 10 | ||
| 66794 | ppGpp biosynthesis | 100 | 4 of 4 | ||
| 66794 | aerobactin biosynthesis | 100 | 1 of 1 | ||
| 66794 | acetate fermentation | 100 | 4 of 4 | ||
| 66794 | folate polyglutamylation | 100 | 1 of 1 | ||
| 66794 | anapleurotic synthesis of oxalacetate | 100 | 1 of 1 | ||
| 66794 | CDP-diacylglycerol biosynthesis | 100 | 2 of 2 | ||
| 66794 | suberin monomers biosynthesis | 100 | 2 of 2 | ||
| 66794 | cellulose degradation | 100 | 5 of 5 | ||
| 66794 | palmitate biosynthesis | 100 | 22 of 22 | ||
| 66794 | phenylalanine metabolism | 92.31 | 12 of 13 | ||
| 66794 | pentose phosphate pathway | 90.91 | 10 of 11 | ||
| 66794 | proline metabolism | 90.91 | 10 of 11 | ||
| 66794 | threonine metabolism | 90 | 9 of 10 | ||
| 66794 | Entner Doudoroff pathway | 90 | 9 of 10 | ||
| 66794 | myo-inositol biosynthesis | 90 | 9 of 10 | ||
| 66794 | aspartate and asparagine metabolism | 88.89 | 8 of 9 | ||
| 66794 | chorismate metabolism | 88.89 | 8 of 9 | ||
| 66794 | molybdenum cofactor biosynthesis | 88.89 | 8 of 9 | ||
| 66794 | NAD metabolism | 88.89 | 16 of 18 | ||
| 66794 | isoleucine metabolism | 87.5 | 7 of 8 | ||
| 66794 | C4 and CAM-carbon fixation | 87.5 | 7 of 8 | ||
| 66794 | reductive acetyl coenzyme A pathway | 85.71 | 6 of 7 | ||
| 66794 | photosynthesis | 85.71 | 12 of 14 | ||
| 66794 | leucine metabolism | 84.62 | 11 of 13 | ||
| 66794 | alanine metabolism | 82.76 | 24 of 29 | ||
| 66794 | glutamate and glutamine metabolism | 82.14 | 23 of 28 | ||
| 66794 | metabolism of disaccharids | 81.82 | 9 of 11 | ||
| 66794 | vitamin K metabolism | 80 | 4 of 5 | ||
| 66794 | ethylmalonyl-CoA pathway | 80 | 4 of 5 | ||
| 66794 | flavin biosynthesis | 80 | 12 of 15 | ||
| 66794 | propionate fermentation | 80 | 8 of 10 | ||
| 66794 | peptidoglycan biosynthesis | 80 | 12 of 15 | ||
| 66794 | purine metabolism | 79.79 | 75 of 94 | ||
| 66794 | tryptophan metabolism | 78.95 | 30 of 38 | ||
| 66794 | citric acid cycle | 78.57 | 11 of 14 | ||
| 66794 | glutathione metabolism | 78.57 | 11 of 14 | ||
| 66794 | heme metabolism | 78.57 | 11 of 14 | ||
| 66794 | CO2 fixation in Crenarchaeota | 77.78 | 7 of 9 | ||
| 66794 | serine metabolism | 77.78 | 7 of 9 | ||
| 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 B12 metabolism | 76.47 | 26 of 34 | ||
| 66794 | glycolysis | 76.47 | 13 of 17 | ||
| 66794 | sulfopterin metabolism | 75 | 3 of 4 | ||
| 66794 | butanoate fermentation | 75 | 3 of 4 | ||
| 66794 | 6-hydroxymethyl-dihydropterin diphosphate biosynthesis | 75 | 6 of 8 | ||
| 66794 | toluene degradation | 75 | 3 of 4 | ||
| 66794 | arginine metabolism | 75 | 18 of 24 | ||
| 66794 | dTDPLrhamnose biosynthesis | 75 | 6 of 8 | ||
| 66794 | gluconeogenesis | 75 | 6 of 8 | ||
| 66794 | glycogen biosynthesis | 75 | 3 of 4 | ||
| 66794 | lipid metabolism | 74.19 | 23 of 31 | ||
| 66794 | ubiquinone biosynthesis | 71.43 | 5 of 7 | ||
| 66794 | propanol degradation | 71.43 | 5 of 7 | ||
| 66794 | non-pathway related | 71.05 | 27 of 38 | ||
| 66794 | vitamin B1 metabolism | 69.23 | 9 of 13 | ||
| 66794 | histidine metabolism | 68.97 | 20 of 29 | ||
| 66794 | oxidative phosphorylation | 67.03 | 61 of 91 | ||
| 66794 | methane metabolism | 66.67 | 2 of 3 | ||
| 66794 | enterobactin biosynthesis | 66.67 | 2 of 3 | ||
| 66794 | cyanate degradation | 66.67 | 2 of 3 | ||
| 66794 | degradation of aromatic, nitrogen containing compounds | 66.67 | 8 of 12 | ||
| 66794 | octane oxidation | 66.67 | 2 of 3 | ||
| 66794 | L-lactaldehyde degradation | 66.67 | 2 of 3 | ||
| 66794 | cysteine metabolism | 66.67 | 12 of 18 | ||
| 66794 | acetoin degradation | 66.67 | 2 of 3 | ||
| 66794 | acetyl CoA biosynthesis | 66.67 | 2 of 3 | ||
| 66794 | IAA biosynthesis | 66.67 | 2 of 3 | ||
| 66794 | methionine metabolism | 65.38 | 17 of 26 | ||
| 66794 | phenol degradation | 65 | 13 of 20 | ||
| 66794 | pyrimidine metabolism | 64.44 | 29 of 45 | ||
| 66794 | tetrahydrofolate metabolism | 64.29 | 9 of 14 | ||
| 66794 | tyrosine metabolism | 64.29 | 9 of 14 | ||
| 66794 | d-xylose degradation | 63.64 | 7 of 11 | ||
| 66794 | ketogluconate metabolism | 62.5 | 5 of 8 | ||
| 66794 | isoprenoid biosynthesis | 61.54 | 16 of 26 | ||
| 66794 | polyamine pathway | 60.87 | 14 of 23 | ||
| 66794 | 3-phenylpropionate degradation | 60 | 9 of 15 | ||
| 66794 | arachidonate biosynthesis | 60 | 3 of 5 | ||
| 66794 | glycine metabolism | 60 | 6 of 10 | ||
| 66794 | metabolism of amino sugars and derivatives | 60 | 3 of 5 | ||
| 66794 | gallate degradation | 60 | 3 of 5 | ||
| 66794 | lipoate biosynthesis | 60 | 3 of 5 | ||
| 66794 | lysine metabolism | 59.52 | 25 of 42 | ||
| 66794 | carotenoid biosynthesis | 59.09 | 13 of 22 | ||
| 66794 | degradation of pentoses | 57.14 | 16 of 28 | ||
| 66794 | degradation of sugar alcohols | 56.25 | 9 of 16 | ||
| 66794 | androgen and estrogen metabolism | 56.25 | 9 of 16 | ||
| 66794 | daunorubicin biosynthesis | 55.56 | 5 of 9 | ||
| 66794 | degradation of hexoses | 55.56 | 10 of 18 | ||
| 66794 | sulfate reduction | 53.85 | 7 of 13 | ||
| 66794 | phosphatidylethanolamine bioynthesis | 53.85 | 7 of 13 | ||
| 66794 | mannosylglycerate biosynthesis | 50 | 1 of 2 | ||
| 66794 | vitamin E metabolism | 50 | 2 of 4 | ||
| 66794 | coenzyme A metabolism | 50 | 2 of 4 | ||
| 66794 | aminopropanol phosphate biosynthesis | 50 | 1 of 2 | ||
| 66794 | cyclohexanol degradation | 50 | 2 of 4 | ||
| 66794 | dolichol and dolichyl phosphate biosynthesis | 50 | 1 of 2 | ||
| 66794 | pantothenate biosynthesis | 50 | 3 of 6 | ||
| 66794 | ribulose monophosphate pathway | 50 | 1 of 2 | ||
| 66794 | coenzyme M biosynthesis | 50 | 5 of 10 | ||
| 66794 | CMP-KDO biosynthesis | 50 | 2 of 4 | ||
| 66794 | ethanol fermentation | 50 | 1 of 2 | ||
| 66794 | phenylmercury acetate degradation | 50 | 1 of 2 | ||
| 66794 | selenocysteine biosynthesis | 50 | 3 of 6 | ||
| 66794 | grixazone biosynthesis | 50 | 1 of 2 | ||
| 66794 | quinate degradation | 50 | 1 of 2 | ||
| 66794 | bile acid biosynthesis, neutral pathway | 47.06 | 8 of 17 | ||
| 66794 | phenylpropanoid biosynthesis | 46.15 | 6 of 13 | ||
| 66794 | nitrate assimilation | 44.44 | 4 of 9 | ||
| 66794 | 4-hydroxymandelate degradation | 44.44 | 4 of 9 | ||
| 66794 | lipid A biosynthesis | 44.44 | 4 of 9 | ||
| 66794 | benzoyl-CoA degradation | 42.86 | 3 of 7 | ||
| 66794 | bacilysin biosynthesis | 40 | 2 of 5 | ||
| 66794 | factor 420 biosynthesis | 40 | 2 of 5 | ||
| 66794 | 3-chlorocatechol degradation | 40 | 2 of 5 | ||
| 66794 | hydrogen production | 40 | 2 of 5 | ||
| 66794 | vitamin B6 metabolism | 36.36 | 4 of 11 | ||
| 66794 | dolichyl-diphosphooligosaccharide biosynthesis | 36.36 | 4 of 11 | ||
| 66794 | arachidonic acid metabolism | 33.33 | 6 of 18 | ||
| 66794 | (5R)-carbapenem carboxylate biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | chlorophyll metabolism | 33.33 | 6 of 18 | ||
| 66794 | sulfoquinovose degradation | 33.33 | 1 of 3 | ||
| 66794 | ascorbate metabolism | 31.82 | 7 of 22 | ||
| 66794 | 4-hydroxyphenylacetate degradation | 30 | 3 of 10 | ||
| 66794 | mevalonate metabolism | 28.57 | 2 of 7 | ||
| 66794 | degradation of sugar acids | 28 | 7 of 25 | ||
| 66794 | cholesterol biosynthesis | 27.27 | 3 of 11 | ||
| 66794 | lactate fermentation | 25 | 1 of 4 | ||
| 66794 | catecholamine biosynthesis | 25 | 1 of 4 | ||
| 66794 | carnitine metabolism | 25 | 2 of 8 | ||
| 66794 | methanogenesis from CO2 | 25 | 3 of 12 |
| @ref | Sample type | Geographic location | Country | Country ISO 3 Code | Continent | |
|---|---|---|---|---|---|---|
| 67770 | Soil | Aomori Pref. | Japan | JPN | Asia |
Global distribution of 16S sequence X80825 (>99% sequence identity) for Streptomyces from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM870453v1 assembly for Streptomyces subrutilus ATCC 27467 | complete | 36818 | 98.4 | ||||
| 66792 | ASM1465093v1 assembly for Streptomyces subrutilus JCM 4834 | scaffold | 36818 | 29.9 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 20218 | Streptomyces subrutilus 16S ribosomal RNA gene, partial sequence | U72172 | 269 | 36818 | ||
| 20218 | Streptomyces subrutilus 16S rRNA gene, strain DSM 40445 | X80825 | 1516 | 36818 | ||
| 20218 | Streptomyces subrutilus gene for 16S rRNA, partial sequence, strain: NBRC 13388 | AB184372 | 1474 | 36818 | ||
| 20218 | Streptomyces subrutilus strain NRRL B-12377T 16S ribosomal RNA gene, partial sequence | DQ442545 | 1471 | 36818 | ||
| 124043 | Streptomyces subrutilus strain JCM 4834 16S ribosomal RNA gene, partial sequence. | MT760622 | 1391 | 36818 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 99.07 | no |
| 125439 | gram_stain | BacteriaNetⓘ | positive | 90.54 | no |
| 125439 | spore_formation | BacteriaNetⓘ | yes | 88.19 | no |
| 125439 | motility | BacteriaNetⓘ | no | 87.97 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 91.82 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 96.33 | no |
| 125438 | aerobic | aerobicⓘ | yes | 87.04 | no |
| 125438 | spore-forming | spore-formingⓘ | yes | 90.76 | no |
| 125438 | thermophilic | thermophileⓘ | no | 97.00 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 88.10 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Avian incubation inhibits growth and diversification of bacterial assemblages on eggs. | Shawkey MD, Firestone MK, Brodie EL, Beissinger SR. | PLoS One | 10.1371/journal.pone.0004522 | 2009 | ||
| Enzymology | Functional characterisation of twelve terpene synthases from actinobacteria. | Chhalodia AK, Xu H, Tabekoueng GB, Gu B, Taizoumbe KA, Lauterbach L, Dickschat JS. | Beilstein J Org Chem | 10.3762/bjoc.19.100 | 2023 | |
| Genetics | Bacteriobiota of the Cave Church of Sts. Peter and Paul in Serbia-Culturable and Non-Culturable Communities' Assessment in the Bioconservation Potential of a Peculiar Fresco Painting. | Dimkic I, Copic M, Petrovic M, Stupar M, Savkovic Z, Knezevic A, Subakov Simic G, Ljaljevic Grbic M, Unkovic N. | Int J Mol Sci | 10.3390/ijms24021016 | 2023 | |
| Metabolism | Proteolytic Processing, Maturation, and Unique Synteny of the Streptomyces Hemagglutinin SHA. | Fujita-Yamaguchi Y, Muramatsu H, Tapia A, Bagramyan K, Desai M, Takehana Y, Igarashi M, Yamaguchi Y, Kalkum M. | Microbiol Spectr | 10.1128/spectrum.00766-21 | 2021 | |
| Enzymology | Molecular detection of streptomycin-producing streptomycetes in Brazilian soils. | Huddleston AS, Cresswell N, Neves MC, Beringer JE, Baumberg S, Thomas DI, Wellington EM. | Appl Environ Microbiol | 10.1128/aem.63.4.1288-1297.1997 | 1997 | |
| Phylogeny | Re-classification of Streptomyces venezuelae strains and mining secondary metabolite biosynthetic gene clusters. | Lee N, Choi M, Kim W, Hwang S, Lee Y, Kim JH, Kim G, Kim H, Cho S, Kim SC, Palsson B, Jang KS, Cho BK. | iScience | 10.1016/j.isci.2021.103410 | 2021 | |
| Enzymology | Subrutilane-A Hexacyclic Sesterterpene from Streptomyces subrutilus. | Gu B, Goldfuss B, Schnakenburg G, Dickschat JS. | Angew Chem Int Ed Engl | 10.1002/anie.202313789 | 2023 | |
| Phylogeny | Production of the antimalarial drug precursor amorphadiene by microbial terpene synthase-like from the moss Sanionia uncinata. | Kim H, Lee Y, Yu J, Park JY, Lee J, Kim SG, Hyun Y. | Planta | 10.1007/s00425-024-04558-0 | 2024 | |
| Evolutionary History of RNA Modifications at N6-Adenosine Originating from the R-M System in Eukaryotes and Prokaryotes. | Liu C, Cao J, Zhang H, Yin J. | Biology (Basel) | 10.3390/biology11020214 | 2022 | ||
| Insights into the Activities and Usefulness of Deoxynojirimycin and Morus alba: A Comprehensive Review | Tricase A, Cavalluzzi M, Catalano A, De Bellis M, De Palma A, Basile G, Sinicropi M, Lentini G. | Molecules | 2025 | |||
| Effects of bacterial inoculants on the indigenous microbiome and secondary metabolites of chamomile plants. | Schmidt R, Koberl M, Mostafa A, Ramadan EM, Monschein M, Jensen KB, Bauer R, Berg G. | Front Microbiol | 10.3389/fmicb.2014.00064 | 2014 | ||
| Metabolism | Influence of N-glycan processing disruption on tyrosinase and melanin synthesis in HM3KO melanoma cells. | Choi H, Ahn S, Chang H, Cho NS, Joo K, Lee BG, Chang I, Hwang JS. | Exp Dermatol | 10.1111/j.1600-0625.2006.00515.x | 2007 | |
| The microbiome of medicinal plants: diversity and importance for plant growth, quality and health. | Koberl M, Schmidt R, Ramadan EM, Bauer R, Berg G. | Front Microbiol | 10.3389/fmicb.2013.00400 | 2013 | ||
| Enzymology | A lead-absorbing protein with superoxide dismutase activity from Streptomyces subrutilus. | So NW, Rho JY, Lee SY, Hancock IC, Kim JH. | FEMS Microbiol Lett | 10.1111/j.1574-6968.2001.tb09452.x | 2001 | |
| Biotechnology | Marine-Derived Actinomycetes: Biodegradation of Plastics and Formation of PHA Bioplastics-A Circular Bioeconomy Approach. | Oliveira J, Almeida PL, Sobral RG, Lourenco ND, Gaudencio SP. | Mar Drugs | 10.3390/md20120760 | 2022 | |
| Exploring Actinobacteria Associated With Rhizosphere and Endosphere of the Native Alpine Medicinal Plant Leontopodium nivale Subspecies alpinum. | Oberhofer M, Hess J, Leutgeb M, Gossnitzer F, Rattei T, Wawrosch C, Zotchev SB. | Front Microbiol | 10.3389/fmicb.2019.02531 | 2019 | ||
| Phylogenetic and Physiological Diversity of Cultivable Actinomycetes Isolated From Alpine Habitats on the Qinghai-Tibetan Plateau. | Ma A, Zhang X, Jiang K, Zhao C, Liu J, Wu M, Wang Y, Wang M, Li J, Xu S. | Front Microbiol | 10.3389/fmicb.2020.555351 | 2020 | ||
| Microbiome Modulation-Toward a Better Understanding of Plant Microbiome Response to Microbial Inoculants. | Berg G, Kusstatscher P, Abdelfattah A, Cernava T, Smalla K. | Front Microbiol | 10.3389/fmicb.2021.650610 | 2021 | ||
| Microbial synthesis of three metabolites of a tachykinin receptor antagonist, TAK-637. | Tarui N, Ikeura Y, Natsugari H, Nakahama K | J Biosci Bioeng | 10.1263/jbb.92.285 | 2001 | ||
| Genetics | Streptomyces antarcticus sp. nov., isolated from Horseshoe Island, Antarctica. | Sahin SM, Saticioglu IB, Duman M, Ay H. | Int J Syst Evol Microbiol | 10.1099/ijsem.0.006856 | 2025 |
| #9549 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 40445 |
| #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 ) |
| #20218 | Verslyppe, B., De Smet, W., De Baets, B., De Vos, P., Dawyndt P.: StrainInfo introduces electronic passports for microorganisms.. Syst Appl Microbiol. 37: 42 - 50 2014 ( DOI 10.1016/j.syapm.2013.11.002 , PubMed 24321274 ) |
| #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 ) |
| #67770 | Japan Collection of Microorganism (JCM) ; Curators of the JCM; |
| #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 ) |
You found an error in BacDive? Please tell us about it!
Note that changes will be reviewed and judged. If your changes are legitimate, changes will occur within the next BacDive update. Only proposed changes supported by the according reference will be reviewed. The BacDive team reserves the right to reject proposed changes.
Successfully sent
If you want to cite this particular strain cite the following doi:
https://doi.org/10.13145/bacdive16030.20260601.11
When using BacDive for research please cite the following paper
BacDive in 2025: the core database for prokaryotic strain data