Rhodobacter megalophilus JA194 is an anaerobe, Gram-negative, ovoid-shaped bacterium that was isolated from soil sample collected from Suraj tal near Sarchu .
Gram-negative ovoid-shaped anaerobe genome sequence 16S sequence Bacteria| @ref 20215 |
|
|
| Domain Bacteria |
| Phylum Pseudomonadota |
| Class Alphaproteobacteria |
| Order Rhodobacterales |
| Family Paracoccaceae |
| Genus Rhodobacter |
| Species Rhodobacter megalophilus |
| Full scientific name Rhodobacter megalophilus Arunasri et al. 2008 |
| Synonyms (2) |
| 32531 | Observationaggregates in chains |
| @ref | Chebi-ID | Metabolite | Utilization activity | Kind of utilization tested | |
|---|---|---|---|---|---|
| 32531 | 30089 ChEBI | acetate | + | carbon source | |
| 32531 | 35391 ChEBI | aspartate | + | carbon source | |
| 32531 | 16947 ChEBI | citrate | + | carbon source | |
| 32531 | 16236 ChEBI | ethanol | + | carbon source | |
| 32531 | 15740 ChEBI | formate | + | carbon source | |
| 32531 | 28757 ChEBI | fructose | + | carbon source | |
| 32531 | 29987 ChEBI | glutamate | + | carbon source | |
| 32531 | 17754 ChEBI | glycerol | + | carbon source | |
| 32531 | 25115 ChEBI | malate | + | carbon source | |
| 32531 | 17272 ChEBI | propionate | + | carbon source | |
| 32531 | 30911 ChEBI | sorbitol | + | carbon source | |
| 32531 | 31011 ChEBI | valerate | + | carbon source |
| @ref | Sample type | Sampling date | Geographic location | Country | Country ISO 3 Code | Continent | Latitude | Longitude | |
|---|---|---|---|---|---|---|---|---|---|
| 7795 | soil sample collected from Suraj tal near Sarchu (34° 17' N 77° 58' E, 11 975 feet above sea level) | Indian Himalayas, between Jammu and Kashmir | India | IND | Asia | ||||
| 67770 | Soil of the Indian Himalaya | ||||||||
| 67772 | Soil of the Indian Himalaya | 2006 | Ladakh | India | IND | Asia | 34.2833 | 77.9167 34.2833/77.9167 |
Global distribution of 16S sequence AM421024 (>99% sequence identity) for Luteovulum from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 67772 | IMG-taxon 2681813553 annotated assembly for [Luteovulum] sphaeroides subsp. megalophilum DSM 18937 | scaffold | 418630 | 70.2 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 7795 | Rhodobacter aflagellatum partial 16S rRNA gene, type strain JA194T | AM421024 | 1406 | 418630 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 95.90 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 58.90 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 98.30 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | aerobe | 93.10 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 98.48 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 72.95 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 80.91 | yes |
| 125438 | aerobic | aerobicⓘ | yes | 65.02 | no |
| 125438 | thermophilic | thermophileⓘ | no | 98.09 | yes |
| 125438 | flagellated | motile2+ⓘ | yes | 70.81 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Seasonal Variations of the Nebraska Salt Marsh Microbiome: Environmental Impact, Antibiotic Resistance, and Unique Species. | Stock EK, Rota K, Dunn B, Vasquez M, Hernandez-Velazquez D, Lespes A, Bosmans S, Smith JC, Kyndt JA. | Microorganisms | 10.3390/microorganisms13102369 | 2025 | ||
| Genetics | Analysis of 1,000+ Type-Strain Genomes Substantially Improves Taxonomic Classification of Alphaproteobacteria. | Hordt A, Lopez MG, Meier-Kolthoff JP, Schleuning M, Weinhold LM, Tindall BJ, Gronow S, Kyrpides NC, Woyke T, Goker M. | Front Microbiol | 10.3389/fmicb.2020.00468 | 2020 | |
| Phylogeny | Rhodobacter megalophilus sp. nov., a phototroph from the Indian Himalayas possessing a wide temperature range for growth. | Arunasri K, Venkata Ramana V, Sproer C, Sasikala Ch, Ramana ChV | Int J Syst Evol Microbiol | 10.1099/ijs.0.65642-0 | 2008 |
| #7795 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 18937 |
| #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 ) |
| #28749 | IJSEM 1792 2008 ( DOI 10.1099/ijs.0.65642-0 , PubMed 18676458 ) |
| #32531 | 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 #28749 |
| #67770 | Japan Collection of Microorganism (JCM) ; Curators of the JCM; |
| #67772 | The University of Coimbra Bacteria Culture Collection (UCCCB) ; Curators of the UCCCB; |
| #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/bacdive13824.20251217.10
When using BacDive for research please cite the following paper
BacDive in 2025: the core database for prokaryotic strain data