Spiroplasma syrphidicola EA-1 is a microaerophile, mesophilic prokaryote that was isolated from hemolymph of the syrphid fly Eristalis arbustorum.
microaerophile mesophilic genome sequence 16S sequence| @ref 20215 |
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| Domain Bacillati |
| Phylum Mycoplasmatota |
| Class Mollicutes |
| Order Mycoplasmatales |
| Family Spiroplasmataceae |
| Genus Spiroplasma |
| Species Spiroplasma syrphidicola |
| Full scientific name Spiroplasma syrphidicola Whitcomb et al. 1996 |
| @ref | Motility | Confidence | |
|---|---|---|---|
| 125438 | 94.85 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 16439 | SP4-Z MEDIUM (DSMZ Medium 1076b) | Medium recipe at MediaDive | Name: SP4-Z MEDIUM (DSMZ Medium 1076b) Composition: Agar 10.0 g/l Tryptone 10.0 g/l Bacto peptone 5.0 g/l PPLO broth 3.5 g/l Urea 2.0 g/l Glucose 1.0 g/l None 1.0 g/l Yeast extract 0.4 g/l DNA 0.2 g/l CMRL 1066 Fetal bovine serum Swine serum Distilled water |
| @ref | Growth | Type | Temperature (°C) | Range | |
|---|---|---|---|---|---|
| 16439 | positive | growth | 30 | mesophilic |
| @ref | Spore formation | Confidence | |
|---|---|---|---|
| 125438 | 93.27 |
| @ref | pathway | enzyme coverage | annotated reactions | external links | |
|---|---|---|---|---|---|
| 66794 | folate polyglutamylation | 100 | 1 of 1 | ||
| 66794 | formaldehyde oxidation | 100 | 3 of 3 | ||
| 66794 | CDP-diacylglycerol biosynthesis | 100 | 2 of 2 | ||
| 66794 | coenzyme A metabolism | 100 | 4 of 4 | ||
| 66794 | palmitate biosynthesis | 77.27 | 17 of 22 | ||
| 66794 | ppGpp biosynthesis | 75 | 3 of 4 | ||
| 66794 | photosynthesis | 71.43 | 10 of 14 | ||
| 66794 | glycolysis | 70.59 | 12 of 17 | ||
| 66794 | acetoin degradation | 66.67 | 2 of 3 | ||
| 66794 | L-lactaldehyde degradation | 66.67 | 2 of 3 | ||
| 66794 | aspartate and asparagine metabolism | 66.67 | 6 of 9 | ||
| 66794 | UDP-GlcNAc biosynthesis | 66.67 | 2 of 3 | ||
| 66794 | NAD metabolism | 55.56 | 10 of 18 | ||
| 66794 | d-mannose degradation | 55.56 | 5 of 9 | ||
| 66794 | glycogen biosynthesis | 50 | 2 of 4 | ||
| 66794 | sulfopterin metabolism | 50 | 2 of 4 | ||
| 66794 | adipate degradation | 50 | 1 of 2 | ||
| 66794 | acetate fermentation | 50 | 2 of 4 | ||
| 66794 | ethanol fermentation | 50 | 1 of 2 | ||
| 66794 | ketogluconate metabolism | 50 | 4 of 8 | ||
| 66794 | ribulose monophosphate pathway | 50 | 1 of 2 | ||
| 66794 | purine metabolism | 46.81 | 44 of 94 | ||
| 66794 | pentose phosphate pathway | 45.45 | 5 of 11 | ||
| 66794 | serine metabolism | 44.44 | 4 of 9 | ||
| 66794 | degradation of sugar alcohols | 43.75 | 7 of 16 | ||
| 66794 | propanol degradation | 42.86 | 3 of 7 | ||
| 66794 | cardiolipin biosynthesis | 42.86 | 3 of 7 | ||
| 66794 | pyrimidine metabolism | 42.22 | 19 of 45 | ||
| 66794 | methylglyoxal degradation | 40 | 2 of 5 | ||
| 66794 | flavin biosynthesis | 40 | 6 of 15 | ||
| 66794 | lipoate biosynthesis | 40 | 2 of 5 | ||
| 66794 | metabolism of amino sugars and derivatives | 40 | 2 of 5 | ||
| 66794 | cellulose degradation | 40 | 2 of 5 | ||
| 66794 | phenylalanine metabolism | 38.46 | 5 of 13 | ||
| 66794 | vitamin B1 metabolism | 38.46 | 5 of 13 | ||
| 66794 | 6-hydroxymethyl-dihydropterin diphosphate biosynthesis | 37.5 | 3 of 8 | ||
| 66794 | d-xylose degradation | 36.36 | 4 of 11 | ||
| 66794 | metabolism of disaccharids | 36.36 | 4 of 11 | ||
| 66794 | oxidative phosphorylation | 36.26 | 33 of 91 | ||
| 66794 | tetrahydrofolate metabolism | 35.71 | 5 of 14 | ||
| 66794 | isoprenoid biosynthesis | 34.62 | 9 of 26 | ||
| 66794 | non-pathway related | 34.21 | 13 of 38 | ||
| 66794 | glycolate and glyoxylate degradation | 33.33 | 2 of 6 | ||
| 66794 | lipid A biosynthesis | 33.33 | 3 of 9 | ||
| 66794 | acetyl CoA biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | octane oxidation | 33.33 | 1 of 3 | ||
| 66794 | cyanate degradation | 33.33 | 1 of 3 | ||
| 66794 | IAA biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | selenocysteine biosynthesis | 33.33 | 2 of 6 | ||
| 66794 | lipid metabolism | 32.26 | 10 of 31 | ||
| 66794 | glutamate and glutamine metabolism | 32.14 | 9 of 28 | ||
| 66794 | urea cycle | 30.77 | 4 of 13 | ||
| 66794 | methionine metabolism | 30.77 | 8 of 26 | ||
| 66794 | myo-inositol biosynthesis | 30 | 3 of 10 | ||
| 66794 | Entner Doudoroff pathway | 30 | 3 of 10 | ||
| 66794 | reductive acetyl coenzyme A pathway | 28.57 | 2 of 7 | ||
| 66794 | glutathione metabolism | 28.57 | 4 of 14 | ||
| 66794 | degradation of pentoses | 25 | 7 of 28 | ||
| 66794 | butanoate fermentation | 25 | 1 of 4 | ||
| 66794 | cyclohexanol degradation | 25 | 1 of 4 | ||
| 66794 | C4 and CAM-carbon fixation | 25 | 2 of 8 | ||
| 66794 | biotin biosynthesis | 25 | 1 of 4 | ||
| 66794 | lactate fermentation | 25 | 1 of 4 | ||
| 66794 | CMP-KDO biosynthesis | 25 | 1 of 4 | ||
| 66794 | degradation of aromatic, nitrogen containing compounds | 25 | 3 of 12 | ||
| 66794 | leucine metabolism | 23.08 | 3 of 13 | ||
| 66794 | ascorbate metabolism | 22.73 | 5 of 22 | ||
| 66794 | cysteine metabolism | 22.22 | 4 of 18 | ||
| 66794 | valine metabolism | 22.22 | 2 of 9 | ||
| 66794 | CO2 fixation in Crenarchaeota | 22.22 | 2 of 9 | ||
| 66794 | tyrosine metabolism | 21.43 | 3 of 14 | ||
| 66794 | alanine metabolism | 20.69 | 6 of 29 |
| @ref | Sample type | Host species | |
|---|---|---|---|
| 16439 | hemolymph of the syrphid fly Eristalis arbustorum | Eristalis arbustorum |
Global distribution of 16S sequence NR_025711 (>99% sequence identity) for Spiroplasma from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM40095v1 assembly for Spiroplasma syrphidicola EA-1 | complete | 1276229 | 98.85 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | oxygen_tolerance | BacteriaNetⓘ | facultative anaerobe | 92.80 | no |
| 125439 | gram_stain | BacteriaNetⓘ | positive | 69.90 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 63.20 | no |
| 125439 | spore_formation | BacteriaNetⓘ | no | 77.80 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 74.82 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 80.56 | yes |
| 125438 | aerobic | aerobicⓘ | no | 94.27 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 93.27 | no |
| 125438 | thermophilic | thermophileⓘ | no | 96.49 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 94.85 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Genetics | Complete genomes of two dipteran-associated spiroplasmas provided insights into the origin, dynamics, and impacts of viral invasion in spiroplasma. | Ku C, Lo WS, Chen LL, Kuo CH. | Genome Biol Evol | 10.1093/gbe/evt084 | 2013 | |
| Phylogeny | Spiroplasma syrphidicola sp. nov., from a syrphid fly (Diptera: Syrphidae). | Whitcomb RF, Gasparich GE, French FE, Tully JG, Rose DL, Carle P, Bove JM, Henegar RB, Konai M, Hackett KJ, Adams JR, Clark TB, Williamson DL | Int J Syst Bacteriol | 10.1099/00207713-46-3-797 | 1996 |
| #16439 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 22631 |
| #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 ) |
| #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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