Acetivibrio mesophilus N2K1 is an anaerobe, spore-forming, thermophilic prokaryote that was isolated from lab scale biogas plant fed with maize silage.
spore-forming Gram-positive rod-shaped anaerobe thermophilic genome sequence 16S sequence| @ref 20215 |
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| Domain Bacteria |
| Phylum Bacillota |
| Class Clostridia |
| Order Eubacteriales |
| Family Oscillospiraceae |
| Genus Acetivibrio |
| Species Acetivibrio mesophilus |
| Full scientific name Acetivibrio mesophilus (Rettenmaier et al. 2019) Tindall 2019 |
| Synonyms (1) |
| @ref | Gram stain | Cell length | Cell shape | Motility | |
|---|---|---|---|---|---|
| 68222 | positive | 0.66-1.33 | rod-shaped |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 64545 | ACETIVIBRIO MEDIUM (DSMZ Medium 122) | Medium recipe at MediaDive | Name: ACETIVIBRIO MEDIUM (DSMZ Medium 122) Composition: Cellulose 10.0 g/l (optional) Na2-ß-glycerophosphate x 5 H2O 6.0 g/l K2HPO4 5.5 g/l Cellobiose 5.0 g/l Yeast extract 4.5 g/l MgCl2 x 6 H2O 2.6 g/l KH2PO4 1.43 g/l (NH4)2SO4 1.3 g/l L-Glutathione 0.25 g/l CaCl2 x 2 H2O 0.13 g/l FeSO4 x 7 H2O 0.0011 g/l Sodium resazurin 0.0005 g/l Distilled water |
| @ref | Type of spore | Spore formation | |
|---|---|---|---|
| 68222 | endospore |
| @ref | Salt | Growth | Tested relation | Concentration | |
|---|---|---|---|---|---|
| 68222 | NaCl | positive | growth | 1.8 %(w/v) |
| @ref | Chebi-ID | Metabolite | Utilization activity | Kind of utilization tested | |
|---|---|---|---|---|---|
| 68222 | 22599 ChEBI | arabinose | - | growth | |
| 68222 | 17057 ChEBI | cellobiose | + | growth | |
| 68222 | 62968 ChEBI | cellulose | + | growth | |
| 68222 | 28757 ChEBI | fructose | - | growth | |
| 68222 | 17234 ChEBI | glucose | - | growth | |
| 68222 | 17716 ChEBI | lactose | - | growth | |
| 68222 | 29864 ChEBI | mannitol | - | growth | |
| 68222 | 37684 ChEBI | mannose | - | growth | |
| 68222 | 33942 ChEBI | ribose | - | growth | |
| 68222 | 28017 ChEBI | starch | - | growth | |
| 68222 | 17992 ChEBI | sucrose | - | growth | |
| 68222 | 27082 ChEBI | trehalose | - | growth | |
| 68222 | 37166 ChEBI | xylan | - | growth | |
| 68222 | 18222 ChEBI | xylose | - | growth |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Host | #Plants | #Herbaceous plants (Grass,Crops) | |
| #Engineered | #Industrial | #Plant (Factory) | |
| #Engineered | #Bioreactor | - | |
| #Engineered | #Laboratory | - |
Global distribution of 16S sequence MK138666 (>99% sequence identity) for Acetivibrio from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 68222 | ASM410274v1 assembly for Acetivibrio mesophilus N2K1 | contig | 2487273 | 60.14 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 64545 | Acetivibrio mesophilus strain N2K1 16S ribosomal RNA gene, partial sequence | MK138666 | 1412 | 2487273 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | yes | 85.00 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 84.70 | no |
| 125439 | gram_stain | BacteriaNetⓘ | variable | 86.20 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | anaerobe | 98.90 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 59.90 | yes |
| 125438 | anaerobic | anaerobicⓘ | yes | 95.21 | no |
| 125438 | spore-forming | spore-formingⓘ | yes | 83.61 | yes |
| 125438 | aerobic | aerobicⓘ | no | 96.02 | yes |
| 125438 | thermophilic | thermophileⓘ | no | 52.57 | no |
| 125438 | flagellated | motile2+ⓘ | yes | 80.78 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Discovery and Biosynthesis of Celluxanthenes, Antibacterial Arylpolyene Alkaloids From Diverse Cellulose-Degrading Anaerobic Bacteria. | Ishida K, Krabbe J, Meisinger PR, Shabuer G, Schieferdecker S, Cyrulies M, Tank C, Barnes E, Paetz C, Hertweck C. | Angew Chem Int Ed Engl | 10.1002/anie.202503697 | 2025 | ||
| Phylogeny | Hungateiclostridium mesophilum sp. nov., a mesophilic, cellulolytic and spore-forming bacterium isolated from a biogas fermenter fed with maize silage. | Rettenmaier R, Gerbaulet M, Liebl W, Zverlov VV | Int J Syst Evol Microbiol | 10.1099/ijsem.0.003663 | 2019 |
| #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 ) |
| #64545 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 107956 |
| #68222 | Regina Rettenmaier, Martin Gerbaulet, Wolfgang Liebl and Vladimir V. Zverlov: Hungateiclostridium mesophilum sp. nov., a mesophilic, cellulolytic and spore-forming bacterium isolated from a biogas fermenter fed with maize silage. IJSEM 69: 3567 - 3573 2019 ( DOI 10.1099/ijsem.0.003663 ) |
| #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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https://doi.org/10.13145/bacdive157972.20251217.10
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BacDive in 2025: the core database for prokaryotic strain data