Alteraurantiacibacter buctensis JCM 30112 is a bacterium that was isolated from Mudstone core sample of the Mohe Basin.
genome sequence 16S sequence Bacteria| @ref 20215 |
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| Domain Bacteria |
| Phylum Pseudomonadota |
| Class Alphaproteobacteria |
| Order Sphingomonadales |
| Family Erythrobacteraceae |
| Genus Alteraurantiacibacter |
| Species Alteraurantiacibacter buctensis |
| Full scientific name Alteraurantiacibacter buctensis (Zhang et al. 2016) Xu et al. 2020 |
| Synonyms (2) |
| @ref | Growth | Type | Temperature (°C) | |
|---|---|---|---|---|
| 67770 | positive | growth | 30 |
| @ref | Sample type | Country | Country ISO 3 Code | Continent | |
|---|---|---|---|---|---|
| 67770 | Mudstone core sample of the Mohe Basin | China | CHN | Asia |
Global distribution of 16S sequence KJ599648 (>99% sequence identity) for Alteraurantiacibacter buctensis subclade from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 67770 | ASM982765v1 assembly for Alteraurantiacibacter buctensis M0322 | scaffold | 1503981 | 67.47 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 67770 | Alteraurantiacibacter buctensis strain M0322 16S ribosomal RNA gene, partial sequence | KJ599648 | 1450 | 1503981 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 97.45 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 98.28 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 53.88 | no |
| 125439 | spore_formation | BacteriaNetⓘ | no | 99.46 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 96.83 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 94.82 | no |
| 125438 | aerobic | aerobicⓘ | yes | 82.83 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 92.36 | no |
| 125438 | thermophilic | thermophileⓘ | no | 97.94 | no |
| 125438 | flagellated | motile2+ⓘ | yes | 64.75 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Phylogeny | Altererythrobacter lauratis sp. nov. and Altererythrobacter palmitatis sp. nov., isolated from a Tibetan hot spring. | Yuan CG, Chen X, Jiang Z, Chen W, Liu L, Xian WD, Asem MD, Zhi XY, Li WJ | Antonie Van Leeuwenhoek | 10.1007/s10482-017-0882-y | 2017 | |
| Phylogeny | Altererythrobacter buctense sp. nov., isolated from mudstone core. | Zhang W, Yuan X, Feng Q, Zhang R, Zhao X, Lv J | Antonie Van Leeuwenhoek | 10.1007/s10482-016-0679-4 | 2016 |
| #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 ) |
| #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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https://doi.org/10.13145/bacdive163710.20260601.11
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