Sphingomonas endophytica DSM 101535 is an aerobe, mesophilic, Gram-negative prokaryote that was isolated from surface sterilized roots of Artemisia annua.
Gram-negative motile rod-shaped aerobe mesophilic genome sequence 16S sequence| @ref 20215 |
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| Domain Pseudomonadati |
| Phylum Pseudomonadota |
| Class Alphaproteobacteria |
| Order Sphingomonadales |
| Family Sphingomonadaceae |
| Genus Sphingomonas |
| Species Sphingomonas endophytica |
| Full scientific name Sphingomonas endophytica Huang et al. 2012 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 22478 | TRYPTICASE SOY BROTH AGAR (DSMZ Medium 535) | Medium recipe at MediaDive | Name: TRYPTICASE SOY BROTH AGAR (DSMZ Medium 535) Composition: Trypticase soy broth 30.0 g/l Agar 15.0 g/l Distilled water |
| @ref | Ability | Type | PH | |
|---|---|---|---|---|
| 30239 | positive | optimum | 7 |
| @ref | Salt | Growth | Tested relation | Concentration | |
|---|---|---|---|---|---|
| 30239 | NaCl | positive | optimum | 0.50 % |
| 67770 | Observationquinones: Q-10 |
| @ref | Chebi-ID | Metabolite | Utilization activity | Kind of utilization tested | |
|---|---|---|---|---|---|
| 68369 | 17128 ChEBI | adipate | - | assimilation | from API 20NE |
| 30239 | 22599 ChEBI | arabinose | + | carbon source | |
| 68369 | 29016 ChEBI | arginine | - | hydrolysis | from API 20NE |
| 30239 | 17057 ChEBI | cellobiose | + | carbon source | |
| 68369 | 17634 ChEBI | D-glucose | + | assimilation | from API 20NE |
| 68369 | 17634 ChEBI | D-glucose | - | fermentation | from API 20NE |
| 68369 | 16899 ChEBI | D-mannitol | - | assimilation | from API 20NE |
| 68369 | 16024 ChEBI | D-mannose | + | assimilation | from API 20NE |
| 68369 | 27689 ChEBI | decanoate | - | assimilation | from API 20NE |
| 68369 | 4853 ChEBI | esculin | + | hydrolysis | from API 20NE |
| 30239 | 28260 ChEBI | galactose | + | carbon source | |
| 68369 | 5291 ChEBI | gelatin | - | hydrolysis | from API 20NE |
| 68369 | 24265 ChEBI | gluconate | - | assimilation | from API 20NE |
| 30239 | 17234 ChEBI | glucose | + | carbon source | |
| 68369 | 30849 ChEBI | L-arabinose | + | assimilation | from API 20NE |
| 30239 | 17716 ChEBI | lactose | + | carbon source | |
| 68369 | 25115 ChEBI | malate | + | assimilation | from API 20NE |
| 30239 | 17306 ChEBI | maltose | + | carbon source | |
| 68369 | 17306 ChEBI | maltose | + | assimilation | from API 20NE |
| 30239 | 37684 ChEBI | mannose | + | carbon source | |
| 68369 | 59640 ChEBI | N-acetylglucosamine | + | assimilation | from API 20NE |
| 68369 | 17632 ChEBI | nitrate | - | reduction | from API 20NE |
| 30239 | 16634 ChEBI | raffinose | + | carbon source | |
| 30239 | 26546 ChEBI | rhamnose | + | carbon source | |
| 30239 | 17992 ChEBI | sucrose | + | carbon source | |
| 68369 | 27897 ChEBI | tryptophan | - | energy source | from API 20NE |
| 68369 | 16199 ChEBI | urea | - | hydrolysis | from API 20NE |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Host | #Plants | #Herbaceous plants (Grass,Crops) | |
| #Host Body-Site | #Plant | #Root (Rhizome) | |
| #Host Body-Site | #Plant | #Sterilized plant part |
Global distribution of 16S sequence HM629444 (>99% sequence identity) for Sphingomonas from Microbeatlas ![]()
| @ref | Biosafety level | Biosafety level comment | |
|---|---|---|---|
| 22478 | 1 | Risk group (German classification) |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM1419941v1 assembly for Sphingomonas endophytica DSM 101535 | scaffold | 869719 | 74.87 | ||||
| 124043 | ASM3953752v1 assembly for Sphingomonas endophytica JCM 17394 | contig | 869719 | 74.22 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 22478 | Sphingomonas endophytica strain YIM 65583 16S ribosomal RNA gene, partial sequence | HM629444 | 1412 | 869719 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 91.20 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 59.40 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 92.40 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 99.10 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 96.83 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 94.98 | yes |
| 125438 | aerobic | aerobicⓘ | yes | 87.48 | yes |
| 125438 | spore-forming | spore-formingⓘ | no | 92.06 | no |
| 125438 | thermophilic | thermophileⓘ | no | 97.80 | yes |
| 125438 | flagellated | motile2+ⓘ | yes | 70.85 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Synthetic bacterium-facilitated colonization of nitrogen-fixing bacteria for remodeling the rhizosphere microbiome and improving plant yield. | Liu S, Zhao Z, Ji Y, Zhu H, Sun Y, Li M, Yu Q. | Microbiome | 10.1186/s40168-025-02189-5 | 2025 | ||
| The Dynamic Changes of Brassica napus Seed Microbiota across the Entire Seed Life in the Field. | Yao Y, Liu C, Zhang Y, Lin Y, Chen T, Xie J, Chang H, Fu Y, Cheng J, Li B, Yu X, Lyu X, Feng Y, Bian X, Jiang D. | Plants (Basel) | 10.3390/plants13060912 | 2024 | ||
| Nodulation Experiment by Cross-Inoculation of Nitrogen-Fixing Bacteria Isolated from Root Nodules of Several Leguminous Plants. | Cho A, Joshi A, Hur HG, Lee JH. | J Microbiol Biotechnol | 10.4014/jmb.2310.10025 | 2024 | ||
| Analysis of structural and metabolic changes in surface microorganisms following powdery mildew infection in wheat and assessment of their potential function in biological control. | Wu Z, Xue X. | PLoS One | 10.1371/journal.pone.0320682 | 2025 | ||
| Using PacBio SMRT Sequencing Technology and Metabolomics to Explore the Microbiota-Metabolome Interaction Related to Silage Fermentation of Woody Plant. | Du Z, Sun L, Lin Y, Yang F, Cai Y. | Front Microbiol | 10.3389/fmicb.2022.857431 | 2022 | ||
| Genetics | Genomic Resource of Rice Seed Associated Bacteria. | Midha S, Bansal K, Sharma S, Kumar N, Patil PP, Chaudhry V, Patil PB. | Front Microbiol | 10.3389/fmicb.2015.01551 | 2015 | |
| Phylogeny | Sphingomonas aeria sp. nov., isolated from air. | Xue H, Piao CG, Wang XZ, Lin CL, Guo MW, Li Y | Int J Syst Evol Microbiol | 10.1099/ijsem.0.002910 | 2018 | |
| Phylogeny | Sphingomonas endophytica sp. nov., isolated from Artemisia annua L. | Huang HY, Li J, Zhao GZ, Zhu WY, Yang LL, Tang HY, Xu LH, Li WJ | Int J Syst Evol Microbiol | 10.1099/ijs.0.031484-0 | 2011 |
| #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 ) |
| #22478 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 101535 |
| #26581 | IJSEM 1576 2012 ( DOI 10.1099/ijs.0.031484-0 , PubMed 21873515 ) |
| #30239 | 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 #26581 |
| #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) . |
| #67770 | Japan Collection of Microorganism (JCM) ; Curators of the JCM; |
| #68369 | Automatically annotated from API 20NE . |
| #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 . |
| #124043 | Isabel Schober, Julia Koblitz: Data extracted from sequence databases, automatically matched based on designation and taxonomy . |
| #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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