Myroides indicus DSM 28213 is a prokaryote that was isolated from garden soil.
genome sequence 16S sequence| @ref 20215 |
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| Domain Pseudomonadati |
| Phylum Bacteroidota |
| Class Flavobacteriia |
| Order Flavobacteriales |
| Family Flavobacteriaceae |
| Genus Myroides |
| Species Myroides indicus |
| Full scientific name Myroides indicus Ram et al. 2015 |
| @ref | Spore formation | Confidence | |
|---|---|---|---|
| 125439 | 94.4 |
| @ref | pathway | enzyme coverage | annotated reactions | external links | |
|---|---|---|---|---|---|
| 66794 | suberin monomers biosynthesis | 100 | 2 of 2 | ||
| 66794 | sulfopterin metabolism | 100 | 4 of 4 | ||
| 66794 | adipate degradation | 100 | 2 of 2 | ||
| 66794 | ppGpp biosynthesis | 100 | 4 of 4 | ||
| 66794 | coenzyme A metabolism | 100 | 4 of 4 | ||
| 66794 | palmitate biosynthesis | 100 | 22 of 22 | ||
| 66794 | formaldehyde oxidation | 100 | 3 of 3 | ||
| 66794 | vitamin K metabolism | 100 | 5 of 5 | ||
| 66794 | cis-vaccenate biosynthesis | 100 | 2 of 2 | ||
| 66794 | methylglyoxal degradation | 100 | 5 of 5 | ||
| 66794 | teichoic acid biosynthesis | 100 | 1 of 1 | ||
| 66794 | denitrification | 100 | 2 of 2 | ||
| 66794 | CDP-diacylglycerol biosynthesis | 100 | 2 of 2 | ||
| 66794 | UDP-GlcNAc biosynthesis | 100 | 3 of 3 | ||
| 66794 | folate polyglutamylation | 100 | 1 of 1 | ||
| 66794 | anapleurotic synthesis of oxalacetate | 100 | 1 of 1 | ||
| 66794 | tetrahydrofolate metabolism | 92.86 | 13 of 14 | ||
| 66794 | lipid A biosynthesis | 88.89 | 8 of 9 | ||
| 66794 | chorismate metabolism | 88.89 | 8 of 9 | ||
| 66794 | gluconeogenesis | 87.5 | 7 of 8 | ||
| 66794 | C4 and CAM-carbon fixation | 87.5 | 7 of 8 | ||
| 66794 | peptidoglycan biosynthesis | 80 | 12 of 15 | ||
| 66794 | photosynthesis | 78.57 | 11 of 14 | ||
| 66794 | CO2 fixation in Crenarchaeota | 77.78 | 7 of 9 | ||
| 66794 | serine metabolism | 77.78 | 7 of 9 | ||
| 66794 | CMP-KDO biosynthesis | 75 | 3 of 4 | ||
| 66794 | acetate fermentation | 75 | 3 of 4 | ||
| 66794 | flavin biosynthesis | 73.33 | 11 of 15 | ||
| 66794 | NAD metabolism | 72.22 | 13 of 18 | ||
| 66794 | propanol degradation | 71.43 | 5 of 7 | ||
| 66794 | citric acid cycle | 71.43 | 10 of 14 | ||
| 66794 | propionate fermentation | 70 | 7 of 10 | ||
| 66794 | alanine metabolism | 68.97 | 20 of 29 | ||
| 66794 | pyrimidine metabolism | 68.89 | 31 of 45 | ||
| 66794 | glutamate and glutamine metabolism | 67.86 | 19 of 28 | ||
| 66794 | purine metabolism | 67.02 | 63 of 94 | ||
| 66794 | acetoin degradation | 66.67 | 2 of 3 | ||
| 66794 | L-lactaldehyde degradation | 66.67 | 2 of 3 | ||
| 66794 | octane oxidation | 66.67 | 2 of 3 | ||
| 66794 | lysine metabolism | 66.67 | 28 of 42 | ||
| 66794 | histidine metabolism | 65.52 | 19 of 29 | ||
| 66794 | dTDPLrhamnose biosynthesis | 62.5 | 5 of 8 | ||
| 66794 | 6-hydroxymethyl-dihydropterin diphosphate biosynthesis | 62.5 | 5 of 8 | ||
| 66794 | methionine metabolism | 61.54 | 16 of 26 | ||
| 66794 | leucine metabolism | 61.54 | 8 of 13 | ||
| 66794 | arachidonate biosynthesis | 60 | 3 of 5 | ||
| 66794 | glycine betaine biosynthesis | 60 | 3 of 5 | ||
| 66794 | metabolism of amino sugars and derivatives | 60 | 3 of 5 | ||
| 66794 | threonine metabolism | 60 | 6 of 10 | ||
| 66794 | glycolysis | 58.82 | 10 of 17 | ||
| 66794 | tryptophan metabolism | 57.89 | 22 of 38 | ||
| 66794 | ubiquinone biosynthesis | 57.14 | 4 of 7 | ||
| 66794 | d-mannose degradation | 55.56 | 5 of 9 | ||
| 66794 | aspartate and asparagine metabolism | 55.56 | 5 of 9 | ||
| 66794 | cysteine metabolism | 55.56 | 10 of 18 | ||
| 66794 | non-pathway related | 55.26 | 21 of 38 | ||
| 66794 | vitamin B6 metabolism | 54.55 | 6 of 11 | ||
| 66794 | arginine metabolism | 54.17 | 13 of 24 | ||
| 66794 | phenylalanine metabolism | 53.85 | 7 of 13 | ||
| 66794 | lipid metabolism | 51.61 | 16 of 31 | ||
| 66794 | biotin biosynthesis | 50 | 2 of 4 | ||
| 66794 | quinate degradation | 50 | 1 of 2 | ||
| 66794 | ethanol fermentation | 50 | 1 of 2 | ||
| 66794 | ketogluconate metabolism | 50 | 4 of 8 | ||
| 66794 | isoleucine metabolism | 50 | 4 of 8 | ||
| 66794 | glycogen biosynthesis | 50 | 2 of 4 | ||
| 66794 | tyrosine metabolism | 50 | 7 of 14 | ||
| 66794 | degradation of aromatic, nitrogen containing compounds | 50 | 6 of 12 | ||
| 66794 | heme metabolism | 50 | 7 of 14 | ||
| 66794 | kanosamine biosynthesis II | 50 | 1 of 2 | ||
| 66794 | pantothenate biosynthesis | 50 | 3 of 6 | ||
| 66794 | oxidative phosphorylation | 46.15 | 42 of 91 | ||
| 66794 | urea cycle | 46.15 | 6 of 13 | ||
| 66794 | valine metabolism | 44.44 | 4 of 9 | ||
| 66794 | mevalonate metabolism | 42.86 | 3 of 7 | ||
| 66794 | cardiolipin biosynthesis | 42.86 | 3 of 7 | ||
| 66794 | reductive acetyl coenzyme A pathway | 42.86 | 3 of 7 | ||
| 66794 | isoprenoid biosynthesis | 42.31 | 11 of 26 | ||
| 66794 | glycine metabolism | 40 | 4 of 10 | ||
| 66794 | lipoate biosynthesis | 40 | 2 of 5 | ||
| 66794 | vitamin B1 metabolism | 38.46 | 5 of 13 | ||
| 66794 | pentose phosphate pathway | 36.36 | 4 of 11 | ||
| 66794 | proline metabolism | 36.36 | 4 of 11 | ||
| 66794 | glutathione metabolism | 35.71 | 5 of 14 | ||
| 66794 | cyanate degradation | 33.33 | 1 of 3 | ||
| 66794 | glycolate and glyoxylate degradation | 33.33 | 2 of 6 | ||
| 66794 | acetyl CoA biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | enterobactin biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | selenocysteine biosynthesis | 33.33 | 2 of 6 | ||
| 66794 | (5R)-carbapenem carboxylate biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | IAA biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | sphingosine metabolism | 33.33 | 2 of 6 | ||
| 66794 | 3-phenylpropionate degradation | 33.33 | 5 of 15 | ||
| 66794 | phenylpropanoid biosynthesis | 30.77 | 4 of 13 | ||
| 66794 | polyamine pathway | 30.43 | 7 of 23 | ||
| 66794 | 4-hydroxyphenylacetate degradation | 30 | 3 of 10 | ||
| 66794 | coenzyme M biosynthesis | 30 | 3 of 10 | ||
| 66794 | Entner Doudoroff pathway | 30 | 3 of 10 | ||
| 66794 | degradation of hexoses | 27.78 | 5 of 18 | ||
| 66794 | toluene degradation | 25 | 1 of 4 | ||
| 66794 | lactate fermentation | 25 | 1 of 4 | ||
| 66794 | androgen and estrogen metabolism | 25 | 4 of 16 | ||
| 66794 | butanoate fermentation | 25 | 1 of 4 | ||
| 66794 | degradation of pentoses | 25 | 7 of 28 | ||
| 66794 | carnitine metabolism | 25 | 2 of 8 | ||
| 66794 | alginate biosynthesis | 25 | 1 of 4 | ||
| 66794 | cyclohexanol degradation | 25 | 1 of 4 | ||
| 66794 | vitamin B12 metabolism | 23.53 | 8 of 34 | ||
| 66794 | sulfate reduction | 23.08 | 3 of 13 | ||
| 66794 | phosphatidylethanolamine bioynthesis | 23.08 | 3 of 13 | ||
| 66794 | nitrate assimilation | 22.22 | 2 of 9 | ||
| 66794 | arachidonic acid metabolism | 22.22 | 4 of 18 |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Environmental | #Terrestrial | #Soil | |
| #Engineered | #Agriculture | #Garden |
| @ref | Sample type | Geographic location | Country | Country ISO 3 Code | Continent | |
|---|---|---|---|---|---|---|
| 22738 | garden soil | University of Delhi, Department of Botany, North Campus | India | IND | Asia |
Global distribution of 16S sequence KC906253 (>99% sequence identity) for Myroides indicus subclade from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM436457v1 assembly for Myroides indicus DSM 28213 | scaffold | 1323422 | 56.61 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 22738 | Myroides indicus strain UKS3 16S ribosomal RNA gene, partial sequence | KC906253 | 1388 | 1323422 |
| @ref | GC-content (mol%) | Method | |
|---|---|---|---|
| 22738 | 36.8 | thermal denaturation, midpoint method (Tm) |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 94.40 | no |
| 125439 | motility | BacteriaNetⓘ | no | 69.10 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 94.40 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 81.10 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 98.50 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 95.15 | no |
| 125438 | aerobic | aerobicⓘ | yes | 83.02 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 89.69 | no |
| 125438 | thermophilic | thermophileⓘ | no | 96.08 | no |
| 125438 | flagellated | motile2+ⓘ | no | 91.50 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Phylogeny | Myroides indicus sp. nov., isolated from garden soil. | Ram H, Kumar A, Thomas L, Dastager SG, Mawlankar R, Singh VP | Int J Syst Evol Microbiol | 10.1099/ijsem.0.000530 | 2015 |
| #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 ) |
| #22738 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 28213 |
| #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 . |
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