Methanothrix thermoacetophila PT is an anaerobe, thermophilic prokaryote that was isolated from sludge, thermophilic anaerobic digester.
anaerobe thermophilic genome sequence 16S sequence| @ref 20215 |
|
|
| Domain Archaea |
| Phylum Methanobacteriota |
| Class Methanosarcinia |
| Order Methanosarcinales |
| Family Methanotrichaceae |
| Genus Methanothrix |
| Species Methanothrix thermoacetophila |
| Full scientific name Methanothrix thermoacetophila corrig. Nozhevnikova and Chudina 1988 |
| Synonyms (4) |
| BacDive ID | Other strains from Methanothrix thermoacetophila (2) | Type strain |
|---|---|---|
| 7049 | M. thermoacetophila Z-517, DSM 4774, VKM B-1831 (type strain) | |
| 7048 | M. thermoacetophila CALS-1, DSM 3870 |
| 2522 | Incubation period3-7 days |
| @ref: | 2522 |
| multimedia content: | DSM_6194.jpg |
| multimedia.multimedia content: | https://www.dsmz.de/microorganisms/photos/DSM_6194.jpg |
| caption: | Medium 334a with strain-specific modifications, 55°C |
| intellectual property rights: | © Leibniz-Institut DSMZ |
| manual_annotation: | 1 |
| @ref | Growth | Type | Temperature (°C) | Range | |
|---|---|---|---|---|---|
| 67770 | positive | growth | 55 | thermophilic |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Engineered | #Biodegradation | #Anaerobic digestor | |
| #Environmental | #Terrestrial | #Mud (Sludge) | |
| #Condition | #Thermophilic (>45°C) | - |
Global distribution of 16S sequence AB071701 (>99% sequence identity) for Methanothrix thermoacetophila subclade from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM1494v1 assembly for Methanothrix thermoacetophila PT | complete | 349307 | 98.67 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 20218 | Methanosaeta thermophila PT gene for 16S rRNA, partial sequence | AB071701 | 1403 | 349307 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | yes | 75.40 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 79.90 | no |
| 125439 | gram_stain | BacteriaNetⓘ | variable | 65.40 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | facultative anaerobe | 86.50 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 66.57 | no |
| 125438 | anaerobic | anaerobicⓘ | yes | 91.62 | yes |
| 125438 | aerobic | aerobicⓘ | no | 91.87 | yes |
| 125438 | spore-forming | spore-formingⓘ | no | 95.14 | no |
| 125438 | thermophilic | thermophileⓘ | no | 57.64 | no |
| 125438 | flagellated | motile2+ⓘ | no | 82.25 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Methane production by Methanothrix thermoacetophila via direct interspecies electron transfer with Geobacter metallireducens. | Zhou J, Smith JA, Li M, Holmes DE. | mBio | 10.1128/mbio.00360-23 | 2023 | ||
| Phylogeny | Bioaugmentation with methanogens cultured in a micro-aerobic microbial community for overloaded anaerobic digestion recovery. | Hua B, Cai Y, Cui Z, Wang X | Anaerobe | 10.1016/j.anaerobe.2022.102603 | 2022 | |
| Phylogeny | Characterization of three thermophilic strains of Methanothrix ("Methanosaeta") thermophila sp. nov. and rejection of Methanothrix ("Methanosaeta") thermoacetophila. | Kamagata Y, Kawasaki H, Oyaizu H, Nakamura K, Mikami E, Endo G, Koga Y, Yamasato K. | Int J Syst Bacteriol | 10.1099/00207713-42-3-463 | 1992 | |
| Phylogeny | Methanosaeta harundinacea sp. nov., a novel acetate-scavenging methanogen isolated from a UASB reactor. | Ma K, Liu X, Dong X | Int J Syst Evol Microbiol | 10.1099/ijs.0.63887-0 | 2006 |
| #2522 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 6194 |
| #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) . |
| #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 . |
| #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/bacdive7050.20251217.10
When using BacDive for research please cite the following paper
BacDive in 2025: the core database for prokaryotic strain data