Prevotella pleuritidis JCM 14110 is an anaerobe, Gram-negative, rod-shaped bacterium that was isolated from human pleural fluid.
Gram-negative rod-shaped anaerobe genome sequence 16S sequence Bacteria| @ref 20215 |
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| Domain Bacteria |
| Phylum Bacteroidota |
| Class Bacteroidia |
| Order Bacteroidales |
| Family Prevotellaceae |
| Genus Prevotella |
| Species Prevotella pleuritidis |
| Full scientific name Prevotella pleuritidis Sakamoto et al. 2007 |
| Synonyms (1) |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Host | #Human | - | |
| #Host Body Product | #Oral cavity and Airways | #Pleural fluid | |
| #Infection | #Patient | - | |
| #Host Body-Site | #Oral cavity and airways | - |
Global distribution of 16S sequence AB278593 (>99% sequence identity) for Prevotella pleuritidis subclade from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 67770 | ASM61372v1 assembly for Hoylesella pleuritidis JCM 14110 | contig | 1236494 | 31.74 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 32054 | Prevotella pleuritidis gene for 16S ribosomal RNA, partial sequence | AB278593 | 1467 | 407975 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 62.93 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 98.43 | no |
| 125439 | spore_formation | BacteriaNetⓘ | no | 99.90 | no |
| 125439 | motility | BacteriaNetⓘ | no | 72.67 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 95.76 | yes |
| 125438 | anaerobic | anaerobicⓘ | yes | 91.48 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 91.56 | yes |
| 125438 | aerobic | aerobicⓘ | no | 96.83 | yes |
| 125438 | thermophilic | thermophileⓘ | no | 95.35 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 90.67 | yes |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Phylogeny | Prevotella pleuritidis sp. nov., isolated from pleural fluid. | Sakamoto M, Ohkusu K, Masaki T, Kako H, Ezaki T, Benno Y | Int J Syst Evol Microbiol | 10.1099/ijs.0.64885-0 | 2007 |
| #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 ) |
| #28303 | IJSEM 1725 2007 ( DOI 10.1099/ijs.0.64885-0 , PubMed 17684245 ) |
| #32054 | 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 #28303 |
| #60143 | Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 54350 |
| #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 ) |
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