Allostella humosa DSM 5900 is a chemoorganotroph, mesophilic, Gram-negative prokaryote that forms circular colonies and was isolated from soil.
Gram-negative star-shaped colony-forming chemoorganotroph mesophilic genome sequence 16S sequence| @ref 20215 |
|
|
| Domain Pseudomonadati |
| Phylum Pseudomonadota |
| Class Alphaproteobacteria |
| Order Rhodospirillales |
| Family Allostellaceae |
| Genus Allostella |
| Species Allostella humosa |
| Full scientific name Allostella humosa (Vasilyeva 1985) Deshmukh and Oren 2025 |
| Synonyms (1) |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 2352 | ANCALOMICROBIUM MEDIUM (DSMZ Medium 603) | Medium recipe at MediaDive | Name: ANCALOMICROBIUM MEDIUM (DSMZ Medium 603) Composition: Agar 15.0 g/l MgSO4 x 7 H2O 0.588119 g/l (NH4)2SO4 0.247525 g/l Glucose 0.247525 g/l Nitrilotriacetic acid 0.19802 g/l Na2HPO4 0.070297 g/l CaCl2 x 2 H2O 0.0660396 g/l ZnSO4 x 7 H2O 0.00108416 g/l FeSO4 x 7 H2O 0.00049505 g/l Na-EDTA 0.000247525 g/l (NH4)6Mo7O24 x 4 H2O 0.000183168 g/l MnSO4 x H2O 0.000152475 g/l Calcium pantothenate 4.95049e-05 g/l Nicotinamide 4.95049e-05 g/l Riboflavin 4.95049e-05 g/l Thiamine-HCl x 2 H2O 4.95049e-05 g/l CuSO4 x 5 H2O 3.88119e-05 g/l Co(NO3)2 x 6 H2O 2.45545e-05 g/l Biotin 1.9802e-05 g/l Folic acid 1.9802e-05 g/l Na2B4O7 x 10 H2O 1.75248e-05 g/l Vitamin B12 9.90099e-07 g/l Distilled water |
| @ref | Ability | Type | PH | |
|---|---|---|---|---|
| 23248 | positive | growth | 7 |
| @ref | Oxygen tolerance | Confidence | |
|---|---|---|---|
| 125439 | obligate aerobe | 99.3 |
| 23248 | Typechemoorganotroph |
| @ref | Chebi-ID | Metabolite | Utilization activity | Kind of utilization tested | |
|---|---|---|---|---|---|
| 23248 | 30916 ChEBI | 2-oxoglutarate | - | growth | |
| 23248 | 30089 ChEBI | acetate | + | growth | |
| 23248 | 17968 ChEBI | butyrate | - | growth | |
| 23248 | 62968 ChEBI | cellulose | - | hydrolysis | |
| 23248 | 16947 ChEBI | citrate | + | growth | |
| 23248 | 15570 ChEBI | D-alanine | - | growth | |
| 23248 | 15740 ChEBI | formate | - | growth | |
| 23248 | 29806 ChEBI | fumarate | - | growth | |
| 23248 | 5291 ChEBI | gelatin | - | hydrolysis | |
| 23248 | 24265 ChEBI | gluconate | - | growth | |
| 23248 | 16977 ChEBI | L-alanine | - | growth | |
| 23248 | 16467 ChEBI | L-arginine | - | growth | |
| 23248 | 17196 ChEBI | L-asparagine | - | growth | |
| 23248 | 29991 ChEBI | L-aspartate | - | growth | |
| 23248 | 17561 ChEBI | L-cysteine | + | growth | |
| 23248 | 16283 ChEBI | L-cystine | + | growth | |
| 23248 | 29985 ChEBI | L-glutamate | + | growth | |
| 23248 | 18050 ChEBI | L-glutamine | - | growth | |
| 23248 | 15971 ChEBI | L-histidine | - | growth | |
| 23248 | 18019 ChEBI | L-lysine | + | growth | |
| 23248 | 17115 ChEBI | L-serine | - | growth | |
| 23248 | 24996 ChEBI | lactate | + | growth | |
| 23248 | 25115 ChEBI | malate | + | growth | |
| 23248 | 15361 ChEBI | pyruvate | + | growth | |
| 23248 | 28017 ChEBI | starch | - | hydrolysis | |
| 23248 | 30031 ChEBI | succinate | + | growth | |
| 23248 | 26986 ChEBI | threonine | - | growth | |
| 23248 | 31011 ChEBI | valerate | - | growth |
| @ref | pathway | enzyme coverage | annotated reactions | external links | |
|---|---|---|---|---|---|
| 66794 | ketogluconate metabolism | 100 | 8 of 8 | ||
| 66794 | kanosamine biosynthesis II | 100 | 2 of 2 | ||
| 66794 | ethylmalonyl-CoA pathway | 100 | 5 of 5 | ||
| 66794 | cis-vaccenate biosynthesis | 100 | 2 of 2 | ||
| 66794 | cardiolipin biosynthesis | 100 | 7 of 7 | ||
| 66794 | adipate degradation | 100 | 2 of 2 | ||
| 66794 | ethanol fermentation | 100 | 2 of 2 | ||
| 66794 | aspartate and asparagine metabolism | 100 | 9 of 9 | ||
| 66794 | molybdenum cofactor biosynthesis | 100 | 9 of 9 | ||
| 66794 | methylglyoxal degradation | 100 | 5 of 5 | ||
| 66794 | palmitate biosynthesis | 100 | 22 of 22 | ||
| 66794 | ppGpp biosynthesis | 100 | 4 of 4 | ||
| 66794 | L-lactaldehyde degradation | 100 | 3 of 3 | ||
| 66794 | valine metabolism | 100 | 9 of 9 | ||
| 66794 | gallate degradation | 100 | 5 of 5 | ||
| 66794 | coenzyme A metabolism | 100 | 4 of 4 | ||
| 66794 | UDP-GlcNAc biosynthesis | 100 | 3 of 3 | ||
| 66794 | folate polyglutamylation | 100 | 1 of 1 | ||
| 66794 | CDP-diacylglycerol biosynthesis | 100 | 2 of 2 | ||
| 66794 | sulfopterin metabolism | 100 | 4 of 4 | ||
| 66794 | taurine degradation | 100 | 1 of 1 | ||
| 66794 | suberin monomers biosynthesis | 100 | 2 of 2 | ||
| 66794 | formaldehyde oxidation | 100 | 3 of 3 | ||
| 66794 | anapleurotic synthesis of oxalacetate | 100 | 1 of 1 | ||
| 66794 | glycine betaine biosynthesis | 100 | 5 of 5 | ||
| 66794 | reductive acetyl coenzyme A pathway | 100 | 7 of 7 | ||
| 66794 | leucine metabolism | 92.31 | 12 of 13 | ||
| 66794 | degradation of aromatic, nitrogen containing compounds | 91.67 | 11 of 12 | ||
| 66794 | proline metabolism | 90.91 | 10 of 11 | ||
| 66794 | propionate fermentation | 90 | 9 of 10 | ||
| 66794 | threonine metabolism | 90 | 9 of 10 | ||
| 66794 | glutamate and glutamine metabolism | 89.29 | 25 of 28 | ||
| 66794 | serine metabolism | 88.89 | 8 of 9 | ||
| 66794 | NAD metabolism | 88.89 | 16 of 18 | ||
| 66794 | chorismate metabolism | 88.89 | 8 of 9 | ||
| 66794 | 4-hydroxymandelate degradation | 88.89 | 8 of 9 | ||
| 66794 | CO2 fixation in Crenarchaeota | 88.89 | 8 of 9 | ||
| 66794 | lipid A biosynthesis | 88.89 | 8 of 9 | ||
| 66794 | C4 and CAM-carbon fixation | 87.5 | 7 of 8 | ||
| 66794 | flavin biosynthesis | 86.67 | 13 of 15 | ||
| 66794 | propanol degradation | 85.71 | 6 of 7 | ||
| 66794 | tetrahydrofolate metabolism | 85.71 | 12 of 14 | ||
| 66794 | glutathione metabolism | 85.71 | 12 of 14 | ||
| 66794 | citric acid cycle | 85.71 | 12 of 14 | ||
| 66794 | photosynthesis | 85.71 | 12 of 14 | ||
| 66794 | ubiquinone biosynthesis | 85.71 | 6 of 7 | ||
| 66794 | heme metabolism | 85.71 | 12 of 14 | ||
| 66794 | phenylalanine metabolism | 84.62 | 11 of 13 | ||
| 66794 | vitamin B1 metabolism | 84.62 | 11 of 13 | ||
| 66794 | alanine metabolism | 82.76 | 24 of 29 | ||
| 66794 | pentose phosphate pathway | 81.82 | 9 of 11 | ||
| 66794 | Entner Doudoroff pathway | 80 | 8 of 10 | ||
| 66794 | 3-chlorocatechol degradation | 80 | 4 of 5 | ||
| 66794 | vitamin K metabolism | 80 | 4 of 5 | ||
| 66794 | phenylacetate degradation (aerobic) | 80 | 4 of 5 | ||
| 66794 | glycogen metabolism | 80 | 4 of 5 | ||
| 66794 | starch degradation | 80 | 8 of 10 | ||
| 66794 | peptidoglycan biosynthesis | 80 | 12 of 15 | ||
| 66794 | histidine metabolism | 79.31 | 23 of 29 | ||
| 66794 | arginine metabolism | 79.17 | 19 of 24 | ||
| 66794 | d-mannose degradation | 77.78 | 7 of 9 | ||
| 66794 | glycolysis | 76.47 | 13 of 17 | ||
| 66794 | lysine metabolism | 76.19 | 32 of 42 | ||
| 66794 | carnitine metabolism | 75 | 6 of 8 | ||
| 66794 | glycogen biosynthesis | 75 | 3 of 4 | ||
| 66794 | biotin biosynthesis | 75 | 3 of 4 | ||
| 66794 | butanoate fermentation | 75 | 3 of 4 | ||
| 66794 | dTDPLrhamnose biosynthesis | 75 | 6 of 8 | ||
| 66794 | gluconeogenesis | 75 | 6 of 8 | ||
| 66794 | degradation of pentoses | 75 | 21 of 28 | ||
| 66794 | isoleucine metabolism | 75 | 6 of 8 | ||
| 66794 | degradation of sugar alcohols | 75 | 12 of 16 | ||
| 66794 | phenol degradation | 75 | 15 of 20 | ||
| 66794 | 6-hydroxymethyl-dihydropterin diphosphate biosynthesis | 75 | 6 of 8 | ||
| 66794 | CMP-KDO biosynthesis | 75 | 3 of 4 | ||
| 66794 | acetate fermentation | 75 | 3 of 4 | ||
| 66794 | purine metabolism | 74.47 | 70 of 94 | ||
| 66794 | lipid metabolism | 74.19 | 23 of 31 | ||
| 66794 | 3-phenylpropionate degradation | 73.33 | 11 of 15 | ||
| 66794 | methionine metabolism | 73.08 | 19 of 26 | ||
| 66794 | vitamin B6 metabolism | 72.73 | 8 of 11 | ||
| 66794 | oxidative phosphorylation | 72.53 | 66 of 91 | ||
| 66794 | cysteine metabolism | 72.22 | 13 of 18 | ||
| 66794 | non-pathway related | 71.05 | 27 of 38 | ||
| 66794 | tryptophan metabolism | 71.05 | 27 of 38 | ||
| 66794 | coenzyme M biosynthesis | 70 | 7 of 10 | ||
| 66794 | urea cycle | 69.23 | 9 of 13 | ||
| 66794 | methane metabolism | 66.67 | 2 of 3 | ||
| 66794 | octane oxidation | 66.67 | 2 of 3 | ||
| 66794 | IAA biosynthesis | 66.67 | 2 of 3 | ||
| 66794 | acetoin degradation | 66.67 | 2 of 3 | ||
| 66794 | glycolate and glyoxylate degradation | 66.67 | 4 of 6 | ||
| 66794 | cyanate degradation | 66.67 | 2 of 3 | ||
| 66794 | acetyl CoA biosynthesis | 66.67 | 2 of 3 | ||
| 66794 | d-xylose degradation | 63.64 | 7 of 11 | ||
| 66794 | metabolism of disaccharids | 63.64 | 7 of 11 | ||
| 66794 | isoprenoid biosynthesis | 61.54 | 16 of 26 | ||
| 66794 | phosphatidylethanolamine bioynthesis | 61.54 | 8 of 13 | ||
| 66794 | creatinine degradation | 60 | 3 of 5 | ||
| 66794 | degradation of sugar acids | 60 | 15 of 25 | ||
| 66794 | myo-inositol biosynthesis | 60 | 6 of 10 | ||
| 66794 | 4-hydroxyphenylacetate degradation | 60 | 6 of 10 | ||
| 66794 | polyamine pathway | 56.52 | 13 of 23 | ||
| 66794 | degradation of hexoses | 55.56 | 10 of 18 | ||
| 66794 | pyrimidine metabolism | 55.56 | 25 of 45 | ||
| 66794 | allantoin degradation | 55.56 | 5 of 9 | ||
| 66794 | sulfate reduction | 53.85 | 7 of 13 | ||
| 66794 | androgen and estrogen metabolism | 50 | 8 of 16 | ||
| 66794 | aminopropanol phosphate biosynthesis | 50 | 1 of 2 | ||
| 66794 | phenylmercury acetate degradation | 50 | 1 of 2 | ||
| 66794 | ribulose monophosphate pathway | 50 | 1 of 2 | ||
| 66794 | ascorbate metabolism | 50 | 11 of 22 | ||
| 66794 | tyrosine metabolism | 50 | 7 of 14 | ||
| 66794 | toluene degradation | 50 | 2 of 4 | ||
| 66794 | cyclohexanol degradation | 50 | 2 of 4 | ||
| 66794 | glycine metabolism | 50 | 5 of 10 | ||
| 66794 | vitamin E metabolism | 50 | 2 of 4 | ||
| 66794 | selenocysteine biosynthesis | 50 | 3 of 6 | ||
| 66794 | resorcinol degradation | 50 | 1 of 2 | ||
| 66794 | lactate fermentation | 50 | 2 of 4 | ||
| 66794 | vitamin B12 metabolism | 47.06 | 16 of 34 | ||
| 66794 | bile acid biosynthesis, neutral pathway | 47.06 | 8 of 17 | ||
| 66794 | cholesterol biosynthesis | 45.45 | 5 of 11 | ||
| 66794 | nitrate assimilation | 44.44 | 4 of 9 | ||
| 66794 | aclacinomycin biosynthesis | 42.86 | 3 of 7 | ||
| 66794 | benzoyl-CoA degradation | 42.86 | 3 of 7 | ||
| 66794 | hydrogen production | 40 | 2 of 5 | ||
| 66794 | factor 420 biosynthesis | 40 | 2 of 5 | ||
| 66794 | cellulose degradation | 40 | 2 of 5 | ||
| 66794 | lipoate biosynthesis | 40 | 2 of 5 | ||
| 66794 | arachidonate biosynthesis | 40 | 2 of 5 | ||
| 66794 | arachidonic acid metabolism | 38.89 | 7 of 18 | ||
| 66794 | carotenoid biosynthesis | 36.36 | 8 of 22 | ||
| 66794 | enterobactin biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | sphingosine metabolism | 33.33 | 2 of 6 | ||
| 66794 | sulfoquinovose degradation | 33.33 | 1 of 3 | ||
| 66794 | (5R)-carbapenem carboxylate biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | pantothenate biosynthesis | 33.33 | 2 of 6 | ||
| 66794 | chlorophyll metabolism | 27.78 | 5 of 18 | ||
| 66794 | alginate biosynthesis | 25 | 1 of 4 | ||
| 66794 | phenylpropanoid biosynthesis | 23.08 | 3 of 13 | ||
| 66794 | daunorubicin biosynthesis | 22.22 | 2 of 9 |
Global distribution of 16S sequence AJ535710 (>99% sequence identity) for Stella humosa from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM673864v1 assembly for Allostella humosa ATCC 43930 | complete | 94 | 96.83 | ||||
| 66792 | ASM375134v1 assembly for Allostella humosa DSM 5900 | contig | 94 | 73.14 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 20218 | Stella humosa 16S rRNA gene, strain DSM5900 | AJ535710 | 1447 | 94 |
| @ref | GC-content (mol%) | Method | |
|---|---|---|---|
| 23248 | 72.70 | thermal denaturation, midpoint method (Tm) |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 92.30 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 57.30 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 90.90 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 99.30 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 97.83 | yes |
| 125438 | anaerobic | anaerobicⓘ | no | 96.96 | no |
| 125438 | aerobic | aerobicⓘ | yes | 76.64 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 83.74 | yes |
| 125438 | thermophilic | thermophileⓘ | no | 97.31 | no |
| 125438 | flagellated | motile2+ⓘ | no | 59.98 | yes |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Phylogeny | Proposal of Allobogoriella gen. nov., Allobogoriella caseilytica comb. nov., Allostella gen. nov., Allostella humosa comb. nov. and Allostella vacuolata comb. nov. as replacement names for the illegitimate prokaryotic names Bogoriella, Bogoriella caseilytica, Stella, Stella humosa and Stella vacuolata, respectively. | Deshmukh UB, Oren A. | Int J Syst Evol Microbiol | 10.1099/ijsem.0.006930 | 2025 | |
| Exploring the Linkage Between Ruminal Microbial Communities on Postweaning and Finishing Diets and Their Relation to Residual Feed Intake in Beef Cattle. | Peraza P, Fernandez-Calero T, Naya H, Sotelo-Silveira J, Navajas EA. | Microorganisms | 10.3390/microorganisms12122437 | 2024 | ||
| Phylogeny | Phenological asynchrony between host plant and gypsy moth reduces insect gut microbiota and susceptibility to Bacillus thuringiensis. | Martemyanov VV, Belousova IA, Pavlushin SV, Dubovskiy IM, Ershov NI, Alikina TY, Kabilov MR, Glupov VV. | Ecol Evol | 10.1002/ece3.2460 | 2016 | |
| 5S rRNA sequences from Nitrobacter winogradskyi, Caulobacter crescentus, Stella humosa and Verrucomicrobium spinosum. | Bomar D, Stackebrandt E. | Nucleic Acids Res | 10.1093/nar/15.22.9597 | 1987 | ||
| 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 | |
| Genetics | Complete Genome Sequences of Three Star-Shaped Bacteria, Stella humosa, Stella vacuolata, and Stella Species ATCC 35155. | Shibai A, Maeda T, Kawada M, Kotani H, Sakata N, Furusawa C | Microbiol Resour Announc | 10.1128/MRA.00719-19 | 2019 | |
| Phylogeny | Phylogenetic relationships of the genera Stella, Labrys and Angulomicrobium within the 'Alphaproteobacteria' and description of Angulomicrobium amanitiforme sp. nov. | Fritz I, Strompl C, Abraham WR | Int J Syst Evol Microbiol | 10.1099/ijs.0.02746-0 | 2004 |
| #2352 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 5900 |
| #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 ) |
| #20218 | Verslyppe, B., De Smet, W., De Baets, B., De Vos, P., Dawyndt P.: StrainInfo introduces electronic passports for microorganisms.. Syst Appl Microbiol. 37: 42 - 50 2014 ( DOI 10.1016/j.syapm.2013.11.002 , PubMed 24321274 ) |
| #23248 | L. V. VASILYEVA: Stella, a New Genus of Soil Prosthecobacteria, with Proposals for Stella humosa sp. nov. and Stella vacuolata sp. nov.. IJSEM 35: 518 - 521 1985 ( DOI 10.1099/00207713-35-4-518 ) |
| #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) . |
| #66794 | Antje Chang, Lisa Jeske, Sandra Ulbrich, Julia Hofmann, Julia Koblitz, Ida Schomburg, Meina Neumann-Schaal, Dieter Jahn, Dietmar Schomburg: BRENDA, the ELIXIR core data resource in 2021: new developments and updates. Nucleic Acids Res. 49: D498 - D508 2020 ( DOI 10.1093/nar/gkaa1025 , PubMed 33211880 ) |
| #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/bacdive64.20251217.10
When using BacDive for research please cite the following paper
BacDive in 2025: the core database for prokaryotic strain data