Sphingobacterium allocomposti 4M24 is an aerobe, Gram-negative, rod-shaped bacterium that was isolated from cotton waste compost.
Gram-negative rod-shaped aerobe genome sequence 16S sequence Bacteria| @ref 20215 |
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| Domain Bacteria |
| Phylum Bacteroidota |
| Class Sphingobacteriia |
| Order Sphingobacteriales |
| Family Sphingobacteriaceae |
| Genus Sphingobacterium |
| Species Sphingobacterium allocomposti |
| Full scientific name Sphingobacterium allocomposti Goo and Li 2024 |
| Synonyms (1) |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 7741 | NUTRIENT AGAR (DSMZ Medium 1) | Medium recipe at MediaDive | Name: NUTRIENT AGAR (DSMZ Medium 1) Composition: Agar 15.0 g/l Peptone 5.0 g/l Meat extract 3.0 g/l Distilled water |
| 32089 | Oxygen toleranceaerobe |
| @ref | Chebi-ID | Metabolite | Utilization activity | Kind of utilization tested | |
|---|---|---|---|---|---|
| 32089 | 22599 ChEBI | arabinose | + | carbon source | |
| 32089 | 17057 ChEBI | cellobiose | + | carbon source | |
| 32089 | 28757 ChEBI | fructose | + | carbon source | |
| 32089 | 33984 ChEBI | fucose | + | carbon source | |
| 32089 | 28260 ChEBI | galactose | + | carbon source | |
| 32089 | 17234 ChEBI | glucose | + | carbon source | |
| 32089 | 17716 ChEBI | lactose | + | carbon source | |
| 32089 | 17306 ChEBI | maltose | + | carbon source | |
| 32089 | 37684 ChEBI | mannose | + | carbon source | |
| 32089 | 28053 ChEBI | melibiose | + | carbon source | |
| 32089 | 506227 ChEBI | N-acetylglucosamine | + | carbon source | |
| 32089 | 16634 ChEBI | raffinose | + | carbon source | |
| 32089 | 17814 ChEBI | salicin | + | carbon source | |
| 32089 | 17992 ChEBI | sucrose | + | carbon source | |
| 32089 | 27082 ChEBI | trehalose | + | carbon source | |
| 32089 | 53424 ChEBI | tween 20 | + | carbon source | |
| 32089 | 53426 ChEBI | tween 80 | + | carbon source | |
| 32089 | 18222 ChEBI | xylose | + | carbon source |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Engineered | #Agriculture | - | |
| #Engineered | #Biodegradation | #Composting | |
| #Engineered | #Waste | #Solid plant waste | |
| #Host | #Plants | #Shrub (Scrub) |
Global distribution of 16S sequence EF122436 (>99% sequence identity) for Sphingobacterium composti subclade from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 67770 | ASM812488v1 assembly for Sphingobacterium allocomposti DSM 18850 | scaffold | 415956 | 63.15 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 95.90 | no |
| 125439 | motility | BacteriaNetⓘ | no | 60.30 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 97.80 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | facultative aerobe | 74.40 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 98.10 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 96.21 | yes |
| 125438 | spore-forming | spore-formingⓘ | no | 91.62 | yes |
| 125438 | aerobic | aerobicⓘ | yes | 84.98 | yes |
| 125438 | thermophilic | thermophileⓘ | no | 97.48 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 86.63 | yes |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Phylogeny | Sphingobacterium gobiense sp. nov., isolated from soil of the Gobi Desert. | Zhao P, Zhou Z, Chen M, Lin W, Zhang W, Wei G | Int J Syst Evol Microbiol | 10.1099/ijs.0.064246-0 | 2014 | |
| Phylogeny | Sphingobacterium arenae sp. nov., isolated from sandy soil. | Jiang S, Chen M, Su S, Yang M, Li A, Zhang C, Lin M, Zhang W, Luo X | Int J Syst Evol Microbiol | 10.1099/ijs.0.051706-0 | 2013 | |
| Phylogeny | Sphingobacterium anhuiense sp. nov., isolated from forest soil. | Wei W, Zhou Y, Wang X, Huang X, Lai R | Int J Syst Evol Microbiol | 10.1099/ijs.0.65864-0 | 2008 | |
| Phylogeny | Sphingobacterium composti sp. nov., isolated from cotton-waste composts. | Yoo SH, Weon HY, Jang HB, Kim BY, Kwon SW, Go SJ, Stackebrandt E | Int J Syst Evol Microbiol | 10.1099/ijs.0.64948-0 | 2007 |
| #7741 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 18850 |
| #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 ) |
| #28335 | IJSEM 1590 2007 ( DOI 10.1099/ijs.0.64948-0 , PubMed 17625199 ) |
| #32089 | 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 #28335 |
| #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 . |
| #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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https://doi.org/10.13145/bacdive14128.20251217.10
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