Peptoniphilus faecalis AGMB00490 is a bacterium of the family Peptoniphilaceae.
genome sequence 16S sequence Bacteria| @ref 20215 |
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| Domain Bacteria |
| Phylum Bacillota |
| Class Clostridia |
| Order Tissierellales |
| Family Peptoniphilaceae |
| Genus Peptoniphilus |
| Species Peptoniphilus faecalis |
| Full scientific name Peptoniphilus faecalis Ryu et al. 2021 |
| Synonyms (1) |
Global distribution of 16S sequence MT396160 (>99% sequence identity) for Peptoniphilus from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM1297630v1 assembly for Peptoniphilus faecalis AGMB00490 | contig | 2731255 | 69.04 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 20215 | Peptoniphilus faecalis strain AGMB00490 16S ribosomal RNA gene, partial sequence | MT396160 | 1498 | 2731255 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | motility | BacteriaNetⓘ | yes | 45.23 | no |
| 125439 | gram_stain | BacteriaNetⓘ | positive | 63.60 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | facultative anaerobe | 92.46 | no |
| 125439 | spore_formation | BacteriaNetⓘ | no | 84.92 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 80.95 | no |
| 125438 | anaerobic | anaerobicⓘ | yes | 92.19 | no |
| 125438 | aerobic | aerobicⓘ | no | 96.35 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 66.79 | no |
| 125438 | thermophilic | thermophileⓘ | no | 93.42 | no |
| 125438 | flagellated | motile2+ⓘ | no | 87.14 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Phylogeny | Peptoniphilus faecalis sp. nov., isolated from swine faeces. | Ryu SW, Kim JS, Oh BS, Yu SY, Lee JS, Park SH, Kang SW, Lee J, Lee MK, Rhee MS, Jung H, Hur TY, Kim HB, Kim JK, Lee JH, Lee JH | Int J Syst Evol Microbiol | 10.1099/ijsem.0.004836 | 2021 |
| #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 ) |
| #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) . |
| #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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If you want to cite this particular strain cite the following doi:
https://doi.org/10.13145/bacdive166552.20260601.11
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BacDive in 2025: the core database for prokaryotic strain data