Pseudogracilibacillus auburnensis P-207 is a mesophilic, Gram-positive, motile prokaryote that was isolated from rhizospere soil of a corn plant Zea mays.
Gram-positive motile rod-shaped mesophilic genome sequence 16S sequence| @ref 20215 |
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| Domain Bacteria |
| Phylum Bacillota |
| Class Bacilli |
| Order Caryophanales |
| Family Bacillaceae |
| Genus Pseudogracilibacillus |
| Species Pseudogracilibacillus auburnensis |
| Full scientific name Pseudogracilibacillus auburnensis Glaeser et al. 2014 |
| @ref | Gram stain | Cell shape | Motility | |
|---|---|---|---|---|
| 116551 | positive | rod-shaped |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 21343 | CASO AGAR (MERCK 105458) (DSMZ Medium 220) | Medium recipe at MediaDive | Name: CASO AGAR (Merck 105458) (DSMZ Medium 220) Composition: Agar 15.0 g/l Casein peptone 15.0 g/l NaCl 5.0 g/l Soy peptone 5.0 g/l Distilled water | ||
| 116551 | CIP Medium 72 | Medium recipe at CIP |
| @ref | Growth | Type | Temperature (°C) | Range | |
|---|---|---|---|---|---|
| 21343 | positive | growth | 30 | mesophilic |
| @ref | Oxygen tolerance | Confidence | |
|---|---|---|---|
| 125439 | obligate aerobe | 96.4 |
| @ref | pathway | enzyme coverage | annotated reactions | external links | |
|---|---|---|---|---|---|
| 66794 | ketogluconate metabolism | 100 | 8 of 8 | ||
| 66794 | coenzyme A metabolism | 100 | 4 of 4 | ||
| 66794 | formaldehyde oxidation | 100 | 3 of 3 | ||
| 66794 | cyanate degradation | 100 | 3 of 3 | ||
| 66794 | vitamin K metabolism | 100 | 5 of 5 | ||
| 66794 | phenylacetate degradation (aerobic) | 100 | 5 of 5 | ||
| 66794 | adipate degradation | 100 | 2 of 2 | ||
| 66794 | propanol degradation | 100 | 7 of 7 | ||
| 66794 | L-lactaldehyde degradation | 100 | 3 of 3 | ||
| 66794 | methylglyoxal degradation | 100 | 5 of 5 | ||
| 66794 | biotin biosynthesis | 100 | 4 of 4 | ||
| 66794 | cis-vaccenate biosynthesis | 100 | 2 of 2 | ||
| 66794 | palmitate biosynthesis | 100 | 22 of 22 | ||
| 66794 | aspartate and asparagine metabolism | 100 | 9 of 9 | ||
| 66794 | denitrification | 100 | 2 of 2 | ||
| 66794 | UDP-GlcNAc biosynthesis | 100 | 3 of 3 | ||
| 66794 | propionate fermentation | 100 | 10 of 10 | ||
| 66794 | ppGpp biosynthesis | 100 | 4 of 4 | ||
| 66794 | CDP-diacylglycerol biosynthesis | 100 | 2 of 2 | ||
| 66794 | gluconeogenesis | 100 | 8 of 8 | ||
| 66794 | folate polyglutamylation | 100 | 1 of 1 | ||
| 66794 | anapleurotic synthesis of oxalacetate | 100 | 1 of 1 | ||
| 66794 | suberin monomers biosynthesis | 100 | 2 of 2 | ||
| 66794 | threonine metabolism | 100 | 10 of 10 | ||
| 66794 | pyrimidine metabolism | 91.11 | 41 of 45 | ||
| 66794 | proline metabolism | 90.91 | 10 of 11 | ||
| 66794 | Entner Doudoroff pathway | 90 | 9 of 10 | ||
| 66794 | alanine metabolism | 89.66 | 26 of 29 | ||
| 66794 | valine metabolism | 88.89 | 8 of 9 | ||
| 66794 | serine metabolism | 88.89 | 8 of 9 | ||
| 66794 | chorismate metabolism | 88.89 | 8 of 9 | ||
| 66794 | C4 and CAM-carbon fixation | 87.5 | 7 of 8 | ||
| 66794 | citric acid cycle | 85.71 | 12 of 14 | ||
| 66794 | glutamate and glutamine metabolism | 85.71 | 24 of 28 | ||
| 66794 | reductive acetyl coenzyme A pathway | 85.71 | 6 of 7 | ||
| 66794 | leucine metabolism | 84.62 | 11 of 13 | ||
| 66794 | vitamin B1 metabolism | 84.62 | 11 of 13 | ||
| 66794 | purine metabolism | 82.98 | 78 of 94 | ||
| 66794 | degradation of sugar alcohols | 81.25 | 13 of 16 | ||
| 66794 | flavin biosynthesis | 80 | 12 of 15 | ||
| 66794 | metabolism of amino sugars and derivatives | 80 | 4 of 5 | ||
| 66794 | myo-inositol biosynthesis | 80 | 8 of 10 | ||
| 66794 | lipoate biosynthesis | 80 | 4 of 5 | ||
| 66794 | peptidoglycan biosynthesis | 80 | 12 of 15 | ||
| 66794 | 4-hydroxyphenylacetate degradation | 80 | 8 of 10 | ||
| 66794 | tryptophan metabolism | 78.95 | 30 of 38 | ||
| 66794 | tetrahydrofolate metabolism | 78.57 | 11 of 14 | ||
| 66794 | photosynthesis | 78.57 | 11 of 14 | ||
| 66794 | lysine metabolism | 78.57 | 33 of 42 | ||
| 66794 | NAD metabolism | 77.78 | 14 of 18 | ||
| 66794 | CO2 fixation in Crenarchaeota | 77.78 | 7 of 9 | ||
| 66794 | molybdenum cofactor biosynthesis | 77.78 | 7 of 9 | ||
| 66794 | phenylalanine metabolism | 76.92 | 10 of 13 | ||
| 66794 | glycolysis | 76.47 | 13 of 17 | ||
| 66794 | isoleucine metabolism | 75 | 6 of 8 | ||
| 66794 | butanoate fermentation | 75 | 3 of 4 | ||
| 66794 | sulfopterin metabolism | 75 | 3 of 4 | ||
| 66794 | acetate fermentation | 75 | 3 of 4 | ||
| 66794 | glycogen biosynthesis | 75 | 3 of 4 | ||
| 66794 | methionine metabolism | 73.08 | 19 of 26 | ||
| 66794 | cardiolipin biosynthesis | 71.43 | 5 of 7 | ||
| 66794 | arginine metabolism | 70.83 | 17 of 24 | ||
| 66794 | histidine metabolism | 68.97 | 20 of 29 | ||
| 66794 | oxidative phosphorylation | 67.03 | 61 of 91 | ||
| 66794 | glycolate and glyoxylate degradation | 66.67 | 4 of 6 | ||
| 66794 | cysteine metabolism | 66.67 | 12 of 18 | ||
| 66794 | octane oxidation | 66.67 | 2 of 3 | ||
| 66794 | acetyl CoA biosynthesis | 66.67 | 2 of 3 | ||
| 66794 | enterobactin biosynthesis | 66.67 | 2 of 3 | ||
| 66794 | d-mannose degradation | 66.67 | 6 of 9 | ||
| 66794 | degradation of aromatic, nitrogen containing compounds | 66.67 | 8 of 12 | ||
| 66794 | acetoin degradation | 66.67 | 2 of 3 | ||
| 66794 | heme metabolism | 64.29 | 9 of 14 | ||
| 66794 | non-pathway related | 63.16 | 24 of 38 | ||
| 66794 | 6-hydroxymethyl-dihydropterin diphosphate biosynthesis | 62.5 | 5 of 8 | ||
| 66794 | urea cycle | 61.54 | 8 of 13 | ||
| 66794 | 3-chlorocatechol degradation | 60 | 3 of 5 | ||
| 66794 | starch degradation | 60 | 6 of 10 | ||
| 66794 | glycine betaine biosynthesis | 60 | 3 of 5 | ||
| 66794 | factor 420 biosynthesis | 60 | 3 of 5 | ||
| 66794 | gallate degradation | 60 | 3 of 5 | ||
| 66794 | ubiquinone biosynthesis | 57.14 | 4 of 7 | ||
| 66794 | tyrosine metabolism | 57.14 | 8 of 14 | ||
| 66794 | lipid metabolism | 54.84 | 17 of 31 | ||
| 66794 | pentose phosphate pathway | 54.55 | 6 of 11 | ||
| 66794 | isoprenoid biosynthesis | 53.85 | 14 of 26 | ||
| 66794 | degradation of pentoses | 53.57 | 15 of 28 | ||
| 66794 | CMP-KDO biosynthesis | 50 | 2 of 4 | ||
| 66794 | dTDPLrhamnose biosynthesis | 50 | 4 of 8 | ||
| 66794 | pantothenate biosynthesis | 50 | 3 of 6 | ||
| 66794 | glycine metabolism | 50 | 5 of 10 | ||
| 66794 | phenylmercury acetate degradation | 50 | 1 of 2 | ||
| 66794 | ethanol fermentation | 50 | 1 of 2 | ||
| 66794 | selenocysteine biosynthesis | 50 | 3 of 6 | ||
| 66794 | quinate degradation | 50 | 1 of 2 | ||
| 66794 | resorcinol degradation | 50 | 1 of 2 | ||
| 66794 | ribulose monophosphate pathway | 50 | 1 of 2 | ||
| 66794 | ascorbate metabolism | 50 | 11 of 22 | ||
| 66794 | lactate fermentation | 50 | 2 of 4 | ||
| 66794 | degradation of hexoses | 50 | 9 of 18 | ||
| 66794 | phenylpropanoid biosynthesis | 46.15 | 6 of 13 | ||
| 66794 | vitamin B6 metabolism | 45.45 | 5 of 11 | ||
| 66794 | metabolism of disaccharids | 45.45 | 5 of 11 | ||
| 66794 | 4-hydroxymandelate degradation | 44.44 | 4 of 9 | ||
| 66794 | degradation of sugar acids | 44 | 11 of 25 | ||
| 66794 | mevalonate metabolism | 42.86 | 3 of 7 | ||
| 66794 | glycogen metabolism | 40 | 2 of 5 | ||
| 66794 | phenol degradation | 40 | 8 of 20 | ||
| 66794 | coenzyme M biosynthesis | 40 | 4 of 10 | ||
| 66794 | arachidonate biosynthesis | 40 | 2 of 5 | ||
| 66794 | cholesterol biosynthesis | 36.36 | 4 of 11 | ||
| 66794 | arachidonic acid metabolism | 33.33 | 6 of 18 | ||
| 66794 | lipid A biosynthesis | 33.33 | 3 of 9 | ||
| 66794 | IAA biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | allantoin degradation | 33.33 | 3 of 9 | ||
| 66794 | sulfoquinovose degradation | 33.33 | 1 of 3 | ||
| 66794 | (5R)-carbapenem carboxylate biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | androgen and estrogen metabolism | 31.25 | 5 of 16 | ||
| 66794 | sulfate reduction | 30.77 | 4 of 13 | ||
| 66794 | phosphatidylethanolamine bioynthesis | 30.77 | 4 of 13 | ||
| 66794 | polyamine pathway | 30.43 | 7 of 23 | ||
| 66794 | glutathione metabolism | 28.57 | 4 of 14 | ||
| 66794 | d-xylose degradation | 27.27 | 3 of 11 | ||
| 66794 | 3-phenylpropionate degradation | 26.67 | 4 of 15 | ||
| 66794 | carnitine metabolism | 25 | 2 of 8 | ||
| 66794 | cyclohexanol degradation | 25 | 1 of 4 | ||
| 66794 | toluene degradation | 25 | 1 of 4 | ||
| 66794 | vitamin E metabolism | 25 | 1 of 4 | ||
| 66794 | nitrate assimilation | 22.22 | 2 of 9 | ||
| 66794 | vitamin B12 metabolism | 20.59 | 7 of 34 |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Environmental | #Terrestrial | #Soil | |
| #Host | #Plants | #Herbaceous plants (Grass,Crops) | |
| #Host Body-Site | #Plant | #Rhizosphere |
Global distribution of 16S sequence KJ490639 (>99% sequence identity) for Pseudogracilibacillus auburnensis subclade from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 124043 | ASM4268212v1 assembly for Pseudogracilibacillus auburnensis CCM 8509 | contig | 1494959 | 75.01 | ||||
| 66792 | ASM320197v1 assembly for Pseudogracilibacillus auburnensis DSM 28556 | scaffold | 1494959 | 64.87 |
| @ref | GC-content (mol%) | Method | |
|---|---|---|---|
| 21343 | 34 | fluorimetric |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | yes | 87.40 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 80.10 | no |
| 125439 | gram_stain | BacteriaNetⓘ | variable | 79.00 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 96.40 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 69.02 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 93.04 | no |
| 125438 | aerobic | aerobicⓘ | yes | 83.71 | no |
| 125438 | spore-forming | spore-formingⓘ | yes | 86.21 | no |
| 125438 | thermophilic | thermophileⓘ | no | 91.82 | yes |
| 125438 | flagellated | motile2+ⓘ | yes | 81.65 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Phylogeny | Pseudogracilibacillus endophyticus sp. nov., a moderately thermophilic and halophilic species isolated from plant root. | Park J, Kim MK, Yun BR, Han JH, Kim SB | Int J Syst Evol Microbiol | 10.1099/ijsem.0.002475 | 2017 | |
| Phylogeny | Pseudogracilibacillus auburnensis gen. nov., sp. nov., isolated from the rhizosphere of Zea mays. | Glaeser SP, McInroy JA, Busse HJ, Kampfer P | Int J Syst Evol Microbiol | 10.1099/ijs.0.064584-0 | 2014 | |
| Phylogeny | Pseudogracilibacillus marinus sp. nov., isolated from a biofilm formed in coastal seawater. | Verma P, Saravanan N, Jia B, Jeon CO, Dharani G, Somasundaram ST, Kirubagaran R | Int J Syst Evol Microbiol | 10.1099/ijsem.0.001212 | 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 ) |
| #21343 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 28556 |
| #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 . |
| #116551 | Collection of Institut Pasteur ; Curators of the CIP; CIP 110797 |
| #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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