Metamycoplasma orale CH19299 is a mesophilic, Gram-negative, rod-shaped prokaryote that was isolated from Oropharynx of child.
Gram-negative rod-shaped mesophilic genome sequence 16S sequence| @ref 20215 |
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| Domain Bacillati |
| Phylum Mycoplasmatota |
| Class Mollicutes |
| Order Mycoplasmoidales |
| Family Metamycoplasmataceae |
| Genus Metamycoplasma |
| Species Metamycoplasma orale |
| Full scientific name Metamycoplasma orale (Taylor-Robinson et al. 1964) Gupta et al. 2018 |
| Synonyms (1) |
| BacDive ID | Other strains from Metamycoplasma orale (2) | Type strain |
|---|---|---|
| 8612 | M. orale ZK-CU3, DSM 19105 | |
| 175214 | M. orale MT-4, DSM 116279 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 18055 | 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 | ||
| 121427 | CIP Medium 749 | Medium recipe at CIP | |||
| 121427 | CIP Medium 89 | Medium recipe at CIP |
| @ref | Growth | Type | Temperature (°C) | Range | |
|---|---|---|---|---|---|
| 18055 | positive | growth | 37 | mesophilic |
| @ref | Oxygen tolerance | Confidence | |
|---|---|---|---|
| 125439 | facultative anaerobe | 98.4 |
| @ref | pathway | enzyme coverage | annotated reactions | external links | |
|---|---|---|---|---|---|
| 66794 | CDP-diacylglycerol biosynthesis | 100 | 2 of 2 | ||
| 66794 | aspartate and asparagine metabolism | 66.67 | 6 of 9 | ||
| 66794 | glycolysis | 52.94 | 9 of 17 | ||
| 66794 | NAD metabolism | 50 | 9 of 18 | ||
| 66794 | acetate fermentation | 50 | 2 of 4 | ||
| 66794 | photosynthesis | 50 | 7 of 14 | ||
| 66794 | serine metabolism | 44.44 | 4 of 9 | ||
| 66794 | purine metabolism | 38.3 | 36 of 94 | ||
| 66794 | IAA biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | selenocysteine biosynthesis | 33.33 | 2 of 6 | ||
| 66794 | L-lactaldehyde degradation | 33.33 | 1 of 3 | ||
| 66794 | pyrimidine metabolism | 31.11 | 14 of 45 | ||
| 66794 | oxidative phosphorylation | 30.77 | 28 of 91 | ||
| 66794 | reductive acetyl coenzyme A pathway | 28.57 | 2 of 7 | ||
| 66794 | pentose phosphate pathway | 27.27 | 3 of 11 | ||
| 66794 | 6-hydroxymethyl-dihydropterin diphosphate biosynthesis | 25 | 2 of 8 | ||
| 66794 | lactate fermentation | 25 | 1 of 4 | ||
| 66794 | glycogen biosynthesis | 25 | 1 of 4 | ||
| 66794 | butanoate fermentation | 25 | 1 of 4 | ||
| 66794 | non-pathway related | 23.68 | 9 of 38 | ||
| 66794 | vitamin B1 metabolism | 23.08 | 3 of 13 | ||
| 66794 | methionine metabolism | 23.08 | 6 of 26 | ||
| 66794 | urea cycle | 23.08 | 3 of 13 | ||
| 66794 | d-mannose degradation | 22.22 | 2 of 9 |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Infection | #Patient | - | |
| #Host Body-Site | #Oral cavity and airways | - | |
| #Host | #Human | #Child |
Global distribution of 16S sequence AY796060 (>99% sequence identity) for Mycoplasma from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | 50465_D02-3 assembly for Metamycoplasma orale NCTC10112 | complete | 2121 | 87.73 | ||||
| 66792 | ASM42010v1 assembly for Metamycoplasma orale ATCC 23714 | contig | 1266996 | 68.24 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 20218 | Mycoplasma orale gene for 16S rRNA, partial sequence | AB069816 | 245 | 2121 | ||
| 20218 | Mycoplasma orale 16S ribosomal RNA gene, partial sequence; 16S-23S ribosomal RNA intergenic spacer, complete sequence; and 23S ribosomal RNA gene, partial sequence | AY737010 | 882 | 2121 | ||
| 18055 | Mycoplasma orale strain NC10112 16S ribosomal RNA gene, complete sequence | AY796060 | 1510 | 2121 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | oxygen_tolerance | BacteriaNetⓘ | facultative anaerobe | 98.40 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 99.70 | no |
| 125439 | motility | BacteriaNetⓘ | no | 60.20 | no |
| 125439 | spore_formation | BacteriaNetⓘ | no | 99.30 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 64.49 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 82.90 | no |
| 125438 | aerobic | aerobicⓘ | no | 79.80 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 96.36 | no |
| 125438 | thermophilic | thermophileⓘ | no | 97.74 | no |
| 125438 | flagellated | motile2+ⓘ | no | 94.93 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Transcriptome | A PCR protocol to establish standards for routine mycoplasma testing that by design detects over ninety percent of all known mycoplasma species. | Siegl D, Kruchem M, Jansky S, Eichler E, Thies D, Hartwig U, Schuppan D, Bockamp E. | iScience | 10.1016/j.isci.2023.106724 | 2023 | |
| Osteomyelitis of the femur caused by Metamycoplasma orale in an immunocompromised patient using metagenomic next-generation sequencing: A case report. | Zhu H, Zhu J, Wang Y, Xi X, Wang K, Wang Y, Ding R, Li H. | Heliyon | 10.1016/j.heliyon.2024.e28730 | 2024 | ||
| Correlation between Inflammasomes and Microbiota in Peri-Implantitis. | Padial-Molina M, Montalvo-Acosta S, Martin-Morales N, Perez-Carrasco V, Magan-Fernandez A, Mesa F, O'Valle F, Garcia-Salcedo JA, Galindo-Moreno P. | Int J Mol Sci | 10.3390/ijms25020961 | 2024 | ||
| Meta-transcriptomics Reveals Dysbiosis of the Respiratory Microbiome in Older Adults with Long COVID | Liao M, Cai J, Zhu F, Lan Y, Xu T, Guo J, Xue Q, Wen Y, Zou F, Zhang Y, Zhang S, Yan Y, Ai J, Cui J, Zhang W. | Research (Wash D C) | ||||
| Cultivation | SUPPRESSION OF ROUS SARCOMA VIRUS GROWTH IN TISSUE CULTURES BY MYCOPLASMA ORALE. | SOMERSON NL, COOK MK | J Bacteriol | 10.1128/jb.90.2.534-540.1965 | 1965 |
| #18055 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 25590 |
| #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 . |
| #121427 | Collection of Institut Pasteur ; Curators of the CIP; CIP 104969 |
| #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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https://doi.org/10.13145/bacdive8613.20251217.10
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BacDive in 2025: the core database for prokaryotic strain data