Virgibacillus massiliensis Vm-5 is a mesophilic prokaryote that was isolated from human stool, 10-year old healthy Amazonian boy.
mesophilic genome sequence 16S sequence| @ref 20215 |
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| Domain Bacillati |
| Phylum Bacillota |
| Class Bacilli |
| Order Caryophanales |
| Family Bacillaceae |
| Genus Virgibacillus |
| Species Virgibacillus massiliensis |
| Full scientific name Virgibacillus massiliensis Khelaifia et al. 2023 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 24283 | BHI MEDIUM (DSMZ Medium 215) | Medium recipe at MediaDive | Name: BHI MEDIUM (DSMZ Medium 215) Composition: Brain heart infusion 37.0 g/l Distilled water |
| @ref | Growth | Type | Temperature (°C) | Range | |
|---|---|---|---|---|---|
| 24283 | positive | growth | 30 | mesophilic |
| @ref | Oxygen tolerance | Confidence | |
|---|---|---|---|
| 125439 | obligate aerobe | 97.6 |
| @ref | pathway | enzyme coverage | annotated reactions | external links | |
|---|---|---|---|---|---|
| 66794 | cellulose degradation | 100 | 5 of 5 | ||
| 66794 | formaldehyde oxidation | 100 | 3 of 3 | ||
| 66794 | palmitate biosynthesis | 100 | 22 of 22 | ||
| 66794 | methylglyoxal degradation | 100 | 5 of 5 | ||
| 66794 | vitamin K metabolism | 100 | 5 of 5 | ||
| 66794 | ribulose monophosphate pathway | 100 | 2 of 2 | ||
| 66794 | enterobactin biosynthesis | 100 | 3 of 3 | ||
| 66794 | aspartate and asparagine metabolism | 100 | 9 of 9 | ||
| 66794 | pentose phosphate pathway | 100 | 11 of 11 | ||
| 66794 | kanosamine biosynthesis II | 100 | 2 of 2 | ||
| 66794 | adipate degradation | 100 | 2 of 2 | ||
| 66794 | cis-vaccenate biosynthesis | 100 | 2 of 2 | ||
| 66794 | biotin biosynthesis | 100 | 4 of 4 | ||
| 66794 | gluconeogenesis | 100 | 8 of 8 | ||
| 66794 | lipoate biosynthesis | 100 | 5 of 5 | ||
| 66794 | folate polyglutamylation | 100 | 1 of 1 | ||
| 66794 | anapleurotic synthesis of oxalacetate | 100 | 1 of 1 | ||
| 66794 | coenzyme A metabolism | 100 | 4 of 4 | ||
| 66794 | ceramide biosynthesis | 100 | 1 of 1 | ||
| 66794 | suberin monomers biosynthesis | 100 | 2 of 2 | ||
| 66794 | UDP-GlcNAc biosynthesis | 100 | 3 of 3 | ||
| 66794 | CDP-diacylglycerol biosynthesis | 100 | 2 of 2 | ||
| 66794 | teichoic acid biosynthesis | 100 | 1 of 1 | ||
| 66794 | degradation of sugar alcohols | 93.75 | 15 of 16 | ||
| 66794 | tetrahydrofolate metabolism | 92.86 | 13 of 14 | ||
| 66794 | vitamin B1 metabolism | 92.31 | 12 of 13 | ||
| 66794 | starch degradation | 90 | 9 of 10 | ||
| 66794 | threonine metabolism | 90 | 9 of 10 | ||
| 66794 | alanine metabolism | 89.66 | 26 of 29 | ||
| 66794 | valine metabolism | 88.89 | 8 of 9 | ||
| 66794 | pyrimidine metabolism | 88.89 | 40 of 45 | ||
| 66794 | chorismate metabolism | 88.89 | 8 of 9 | ||
| 66794 | C4 and CAM-carbon fixation | 87.5 | 7 of 8 | ||
| 66794 | propanol degradation | 85.71 | 6 of 7 | ||
| 66794 | glutamate and glutamine metabolism | 85.71 | 24 of 28 | ||
| 66794 | phenylalanine metabolism | 84.62 | 11 of 13 | ||
| 66794 | leucine metabolism | 84.62 | 11 of 13 | ||
| 66794 | purine metabolism | 81.91 | 77 of 94 | ||
| 66794 | peptidoglycan biosynthesis | 80 | 12 of 15 | ||
| 66794 | Entner Doudoroff pathway | 80 | 8 of 10 | ||
| 66794 | 4-hydroxyphenylacetate degradation | 80 | 8 of 10 | ||
| 66794 | metabolism of amino sugars and derivatives | 80 | 4 of 5 | ||
| 66794 | flavin biosynthesis | 80 | 12 of 15 | ||
| 66794 | glycine betaine biosynthesis | 80 | 4 of 5 | ||
| 66794 | heme metabolism | 78.57 | 11 of 14 | ||
| 66794 | photosynthesis | 78.57 | 11 of 14 | ||
| 66794 | serine metabolism | 77.78 | 7 of 9 | ||
| 66794 | CO2 fixation in Crenarchaeota | 77.78 | 7 of 9 | ||
| 66794 | NAD metabolism | 77.78 | 14 of 18 | ||
| 66794 | degradation of sugar acids | 76 | 19 of 25 | ||
| 66794 | butanoate fermentation | 75 | 3 of 4 | ||
| 66794 | 6-hydroxymethyl-dihydropterin diphosphate biosynthesis | 75 | 6 of 8 | ||
| 66794 | glycogen biosynthesis | 75 | 3 of 4 | ||
| 66794 | acetate fermentation | 75 | 3 of 4 | ||
| 66794 | sulfopterin metabolism | 75 | 3 of 4 | ||
| 66794 | ppGpp biosynthesis | 75 | 3 of 4 | ||
| 66794 | isoleucine metabolism | 75 | 6 of 8 | ||
| 66794 | ketogluconate metabolism | 75 | 6 of 8 | ||
| 66794 | lysine metabolism | 73.81 | 31 of 42 | ||
| 66794 | proline metabolism | 72.73 | 8 of 11 | ||
| 66794 | reductive acetyl coenzyme A pathway | 71.43 | 5 of 7 | ||
| 66794 | citric acid cycle | 71.43 | 10 of 14 | ||
| 66794 | cardiolipin biosynthesis | 71.43 | 5 of 7 | ||
| 66794 | tryptophan metabolism | 68.42 | 26 of 38 | ||
| 66794 | non-pathway related | 68.42 | 26 of 38 | ||
| 66794 | L-lactaldehyde degradation | 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-mannose degradation | 66.67 | 6 of 9 | ||
| 66794 | histidine metabolism | 65.52 | 19 of 29 | ||
| 66794 | methionine metabolism | 65.38 | 17 of 26 | ||
| 66794 | glycolysis | 64.71 | 11 of 17 | ||
| 66794 | degradation of pentoses | 64.29 | 18 of 28 | ||
| 66794 | vitamin B6 metabolism | 63.64 | 7 of 11 | ||
| 66794 | d-xylose degradation | 63.64 | 7 of 11 | ||
| 66794 | dTDPLrhamnose biosynthesis | 62.5 | 5 of 8 | ||
| 66794 | sulfate reduction | 61.54 | 8 of 13 | ||
| 66794 | urea cycle | 61.54 | 8 of 13 | ||
| 66794 | degradation of hexoses | 61.11 | 11 of 18 | ||
| 66794 | propionate fermentation | 60 | 6 of 10 | ||
| 66794 | gallate degradation | 60 | 3 of 5 | ||
| 66794 | factor 420 biosynthesis | 60 | 3 of 5 | ||
| 66794 | 3-chlorocatechol degradation | 60 | 3 of 5 | ||
| 66794 | hydrogen production | 60 | 3 of 5 | ||
| 66794 | glycogen metabolism | 60 | 3 of 5 | ||
| 66794 | degradation of aromatic, nitrogen containing compounds | 58.33 | 7 of 12 | ||
| 66794 | arginine metabolism | 58.33 | 14 of 24 | ||
| 66794 | oxidative phosphorylation | 56.04 | 51 of 91 | ||
| 66794 | cysteine metabolism | 55.56 | 10 of 18 | ||
| 66794 | glycine metabolism | 50 | 5 of 10 | ||
| 66794 | ascorbate metabolism | 50 | 11 of 22 | ||
| 66794 | pantothenate biosynthesis | 50 | 3 of 6 | ||
| 66794 | quinate degradation | 50 | 1 of 2 | ||
| 66794 | CMP-KDO biosynthesis | 50 | 2 of 4 | ||
| 66794 | toluene degradation | 50 | 2 of 4 | ||
| 66794 | cyclohexanol degradation | 50 | 2 of 4 | ||
| 66794 | dolichol and dolichyl phosphate biosynthesis | 50 | 1 of 2 | ||
| 66794 | androgen and estrogen metabolism | 50 | 8 of 16 | ||
| 66794 | ethanol fermentation | 50 | 1 of 2 | ||
| 66794 | glutathione metabolism | 50 | 7 of 14 | ||
| 66794 | coenzyme M biosynthesis | 50 | 5 of 10 | ||
| 66794 | lipid metabolism | 48.39 | 15 of 31 | ||
| 66794 | cholesterol biosynthesis | 45.45 | 5 of 11 | ||
| 66794 | metabolism of disaccharids | 45.45 | 5 of 11 | ||
| 66794 | allantoin degradation | 44.44 | 4 of 9 | ||
| 66794 | 4-hydroxymandelate degradation | 44.44 | 4 of 9 | ||
| 66794 | polyamine pathway | 43.48 | 10 of 23 | ||
| 66794 | ubiquinone biosynthesis | 42.86 | 3 of 7 | ||
| 66794 | isoprenoid biosynthesis | 42.31 | 11 of 26 | ||
| 66794 | creatinine degradation | 40 | 2 of 5 | ||
| 66794 | arachidonate biosynthesis | 40 | 2 of 5 | ||
| 66794 | phenol degradation | 40 | 8 of 20 | ||
| 66794 | myo-inositol biosynthesis | 40 | 4 of 10 | ||
| 66794 | phenylpropanoid biosynthesis | 38.46 | 5 of 13 | ||
| 66794 | tyrosine metabolism | 35.71 | 5 of 14 | ||
| 66794 | (5R)-carbapenem carboxylate biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | nitrate assimilation | 33.33 | 3 of 9 | ||
| 66794 | 3-phenylpropionate degradation | 33.33 | 5 of 15 | ||
| 66794 | selenocysteine biosynthesis | 33.33 | 2 of 6 | ||
| 66794 | IAA biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | lipid A biosynthesis | 33.33 | 3 of 9 | ||
| 66794 | arachidonic acid metabolism | 33.33 | 6 of 18 | ||
| 66794 | octane oxidation | 33.33 | 1 of 3 | ||
| 66794 | mevalonate metabolism | 28.57 | 2 of 7 | ||
| 66794 | benzoyl-CoA degradation | 28.57 | 2 of 7 | ||
| 66794 | dolichyl-diphosphooligosaccharide biosynthesis | 27.27 | 3 of 11 | ||
| 66794 | carnitine metabolism | 25 | 2 of 8 | ||
| 66794 | lactate fermentation | 25 | 1 of 4 | ||
| 66794 | bile acid biosynthesis, neutral pathway | 23.53 | 4 of 17 | ||
| 66794 | phosphatidylethanolamine bioynthesis | 23.08 | 3 of 13 |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Host | #Human | #Child | |
| #Host | #Human | #Male | |
| #Host Body Product | #Gastrointestinal tract | #Feces (Stool) |
| @ref | Sample type | Country | Country ISO 3 Code | Continent | |
|---|---|---|---|---|---|
| 24283 | human stool, 10-year old healthy Amazonian boy | Brazil | BRA | Middle and South America |
Global distribution of 16S sequence HG931931 (>99% sequence identity) for Virgibacillus from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | PRJEB5515_assembly_1 assembly for Virgibacillus massiliensis Vm-5 | contig | 1462526 | 76.24 | ||||
| 66792 | ASM1490547v1 assembly for Virgibacillus massiliensis Vm-5 | scaffold | 1462526 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 24283 | Virgibacillus sp. Vm-5 partial 16S rRNA gene, isolate Vm-5 | HG931931 | 1530 | 1462526 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | yes | 90.10 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 86.10 | no |
| 125439 | gram_stain | BacteriaNetⓘ | variable | 75.60 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 97.60 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 83.45 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 96.93 | no |
| 125438 | aerobic | aerobicⓘ | yes | 67.60 | no |
| 125438 | spore-forming | spore-formingⓘ | yes | 94.90 | no |
| 125438 | thermophilic | thermophileⓘ | no | 92.90 | yes |
| 125438 | flagellated | motile2+ⓘ | yes | 87.27 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Genetics | Systematically investigating and identifying bacteriocins in the human gut microbiome. | Zhang D, Zou Y, Shi Y, Zhang J, Liu J, Wu G, Zhang J, Gao Y, Chen M, Li YX. | Cell Genom | 10.1016/j.xgen.2025.100983 | 2025 | |
| Metabolism | Distribution of class IId bacteriocin-producing Virgibacillus salexigens in various environments. | Omachi H, Terahara T, Futami K, Kawato S, Imada C, Kamei K, Waku T, Kondo A, Naganuma T, Agustini TW, Kobayashi T | World J Microbiol Biotechnol | 10.1007/s11274-021-03085-4 | 2021 | |
| Metabolism | Identification of a New Serine Alkaline Peptidase from the Moderately Halophilic Virgibacillus natechei sp. nov., Strain FarD(T) and its Application as Bioadditive for Peptide Synthesis and Laundry Detergent Formulations. | Mechri S, Bouacem K, Amziane M, Dab A, Nateche F, Jaouadi B | Biomed Res Int | 10.1155/2019/6470897 | 2019 | |
| Genetics | Noncontiguous finished genome sequence and description of Virgibacillus massiliensis sp. nov., a moderately halophilic bacterium isolated from human gut. | Khelaifia S, Croce O, Lagier JC, Robert C, Couderc C, Di Pinto F, Davoust B, Djossou F, Raoult D, Fournier PE | New Microbes New Infect | 10.1016/j.nmni.2015.09.012 | 2015 |
| #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 ) |
| #24283 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 28587 |
| #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 ) |
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