Macellibacteroides fermentans LIND7H is an anaerobe, Gram-positive, rod-shaped bacterium that was isolated from upflow anaerobic filter treating abattoir wastewaters.
Gram-positive rod-shaped anaerobe genome sequence 16S sequence Bacteria| @ref 20215 |
|
|
| Domain Bacteria |
| Phylum Bacteroidota |
| Class Bacteroidia |
| Order Bacteroidales |
| Family Porphyromonadaceae |
| Genus Macellibacteroides |
| Species Macellibacteroides fermentans |
| Full scientific name Macellibacteroides fermentans Jabari et al. 2012 |
| BacDive ID | Other strains from Macellibacteroides fermentans (1) | Type strain |
|---|---|---|
| 169635 | M. fermentans HH-ZS BL40, DSM 104146 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 17348 | PYG MEDIUM (MODIFIED) (DSMZ Medium 104) | Medium recipe at MediaDive | Name: PYG MEDIUM (modified) (DSMZ Medium 104) Composition: Yeast extract 10.0 g/l Peptone 5.0 g/l Trypticase peptone 5.0 g/l Beef extract 5.0 g/l Glucose 5.0 g/l L-Cysteine HCl x H2O 0.5 g/l NaHCO3 0.4 g/l NaCl 0.08 g/l K2HPO4 0.04 g/l KH2PO4 0.04 g/l MgSO4 x 7 H2O 0.02 g/l CaCl2 x 2 H2O 0.01 g/l Hemin 0.005 g/l Ethanol 0.0038 g/l Resazurin 0.001 g/l Tween 80 Vitamin K1 NaOH Distilled water |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Engineered | #Industrial | #Engineered product | |
| #Engineered | #Waste | #Wastewater | |
| #Condition | #Anoxic (anaerobic) | - |
Global distribution of 16S sequence HQ020488 (>99% sequence identity) for Macellibacteroides fermentans from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 67770 | ASM1340957v1 assembly for Macellibacteroides fermentans DSM 23697 | contig | 879969 | 75.8 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 17348 | Macellibacteroides fermentans strain LIND7H 16S ribosomal RNA gene, partial sequence | HQ020488 | 1502 | 879969 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 55.67 | no |
| 125439 | motility | BacteriaNetⓘ | no | 80.04 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 98.21 | no |
| 125439 | spore_formation | BacteriaNetⓘ | no | 99.65 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 66.21 | yes |
| 125438 | anaerobic | anaerobicⓘ | yes | 83.64 | no |
| 125438 | aerobic | aerobicⓘ | no | 84.54 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 91.96 | yes |
| 125438 | thermophilic | thermophileⓘ | no | 94.61 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 90.00 | yes |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Phylogeny | Macellibacteroides fermentans gen. nov., sp. nov., a member of the family Porphyromonadaceae isolated from an upflow anaerobic filter treating abattoir wastewaters. | Jabari L, Gannoun H, Cayol JL, Hedi A, Sakamoto M, Falsen E, Ohkuma M, Hamdi M, Fauque G, Ollivier B, Fardeau ML | Int J Syst Evol Microbiol | 10.1099/ijs.0.032508-0 | 2011 |
| #17348 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 23697 |
| #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 ) |
| #26626 | IJSEM 2522 2012 ( DOI 10.1099/ijs.0.032508-0 , PubMed 22180609 ) |
| #30285 | Barberan A, Caceres Velazquez H, Jones S, Fierer N.: Hiding in Plain Sight: Mining Bacterial Species Records for Phenotypic Trait Information. mSphere 2: 2017 ( DOI 10.1128/mSphere.00237-17 , PubMed 28776041 ) - originally annotated from #26626 |
| #62485 | Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 60892 |
| #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/bacdive12524.20260601.11
When using BacDive for research please cite the following paper
BacDive in 2025: the core database for prokaryotic strain data