Dolosigranulum pigrum R-91/1468 is an anaerobe, Gram-positive bacterium of the family Carnobacteriaceae.
Gram-positive anaerobe genome sequence 16S sequence Bacteria| @ref 20215 |
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| Domain Bacteria |
| Phylum Bacillota |
| Class Bacilli |
| Order Lactobacillales |
| Family Carnobacteriaceae |
| Genus Dolosigranulum |
| Species Dolosigranulum pigrum |
| Full scientific name Dolosigranulum pigrum Aguirre et al. 1994 |
| @ref | Name | Growth | Composition | Medium link | |
|---|---|---|---|---|---|
| 34923 | MEDIUM 74 - for Dolosigranulum pigrum | Distilled water make up to (1000.000 ml);Todd hewitt broth (30.000 g) | |||
| 34923 | CIP Medium 90 | Medium recipe at CIP |
| @ref | Salt | Growth | Tested relation | Concentration | |
|---|---|---|---|---|---|
| 34923 | NaCl | growth | 6.5 % |
| @ref | Value | Activity | Ec | |
|---|---|---|---|---|
| 68382 | acid phosphatase | + | 3.1.3.2 | from API zym |
| 34923 | alcohol dehydrogenase | - | 1.1.1.1 | |
| 68382 | alkaline phosphatase | - | 3.1.3.1 | from API zym |
| 68382 | alpha-chymotrypsin | + | 3.4.21.1 | from API zym |
| 68382 | alpha-fucosidase | - | 3.2.1.51 | from API zym |
| 68382 | alpha-galactosidase | - | 3.2.1.22 | from API zym |
| 68382 | alpha-glucosidase | - | 3.2.1.20 | from API zym |
| 68382 | alpha-mannosidase | - | 3.2.1.24 | from API zym |
| 68382 | beta-galactosidase | - | 3.2.1.23 | from API zym |
| 34923 | beta-galactosidase | + | 3.2.1.23 | |
| 68382 | beta-glucosidase | - | 3.2.1.21 | from API zym |
| 68382 | beta-glucuronidase | - | 3.2.1.31 | from API zym |
| 34923 | catalase | - | 1.11.1.6 | |
| 68382 | cystine arylamidase | - | 3.4.11.3 | from API zym |
| 68382 | esterase (C 4) | + | from API zym | |
| 68382 | esterase lipase (C 8) | + | from API zym | |
| 34923 | gamma-glutamyltransferase | - | 2.3.2.2 | |
| 68382 | leucine arylamidase | + | 3.4.11.1 | from API zym |
| 68382 | lipase (C 14) | - | from API zym | |
| 34923 | lysine decarboxylase | - | 4.1.1.18 | |
| 68382 | N-acetyl-beta-glucosaminidase | + | 3.2.1.52 | from API zym |
| 68382 | naphthol-AS-BI-phosphohydrolase | + | from API zym | |
| 34923 | oxidase | - | ||
| 68382 | trypsin | - | 3.4.21.4 | from API zym |
| 34923 | urease | - | 3.5.1.5 | |
| 68382 | valine arylamidase | - | from API zym |
| @ref | pathway | enzyme coverage | annotated reactions | external links | |
|---|---|---|---|---|---|
| 66794 | CDP-diacylglycerol biosynthesis | 100 | 2 of 2 | ||
| 66794 | L-lactaldehyde degradation | 100 | 3 of 3 | ||
| 66794 | cis-vaccenate biosynthesis | 100 | 2 of 2 | ||
| 66794 | coenzyme A metabolism | 100 | 4 of 4 | ||
| 66794 | UDP-GlcNAc biosynthesis | 100 | 3 of 3 | ||
| 66794 | anapleurotic synthesis of oxalacetate | 100 | 1 of 1 | ||
| 66794 | folate polyglutamylation | 100 | 1 of 1 | ||
| 66794 | palmitate biosynthesis | 90.91 | 20 of 22 | ||
| 66794 | peptidoglycan biosynthesis | 80 | 12 of 15 | ||
| 66794 | glycogen metabolism | 80 | 4 of 5 | ||
| 66794 | photosynthesis | 78.57 | 11 of 14 | ||
| 66794 | serine metabolism | 77.78 | 7 of 9 | ||
| 66794 | vitamin B1 metabolism | 76.92 | 10 of 13 | ||
| 66794 | 6-hydroxymethyl-dihydropterin diphosphate biosynthesis | 75 | 6 of 8 | ||
| 66794 | acetate fermentation | 75 | 3 of 4 | ||
| 66794 | glycogen biosynthesis | 75 | 3 of 4 | ||
| 66794 | ppGpp biosynthesis | 75 | 3 of 4 | ||
| 66794 | pentose phosphate pathway | 72.73 | 8 of 11 | ||
| 66794 | cardiolipin biosynthesis | 71.43 | 5 of 7 | ||
| 66794 | glycolysis | 70.59 | 12 of 17 | ||
| 66794 | threonine metabolism | 70 | 7 of 10 | ||
| 66794 | degradation of sugar alcohols | 68.75 | 11 of 16 | ||
| 66794 | formaldehyde oxidation | 66.67 | 2 of 3 | ||
| 66794 | selenocysteine biosynthesis | 66.67 | 4 of 6 | ||
| 66794 | acetoin degradation | 66.67 | 2 of 3 | ||
| 66794 | CO2 fixation in Crenarchaeota | 66.67 | 6 of 9 | ||
| 66794 | purine metabolism | 63.83 | 60 of 94 | ||
| 66794 | C4 and CAM-carbon fixation | 62.5 | 5 of 8 | ||
| 66794 | degradation of hexoses | 61.11 | 11 of 18 | ||
| 66794 | lipoate biosynthesis | 60 | 3 of 5 | ||
| 66794 | pyrimidine metabolism | 60 | 27 of 45 | ||
| 66794 | methylglyoxal degradation | 60 | 3 of 5 | ||
| 66794 | metabolism of amino sugars and derivatives | 60 | 3 of 5 | ||
| 66794 | glycine betaine biosynthesis | 60 | 3 of 5 | ||
| 66794 | propanol degradation | 57.14 | 4 of 7 | ||
| 66794 | aspartate and asparagine metabolism | 55.56 | 5 of 9 | ||
| 66794 | phenylalanine metabolism | 53.85 | 7 of 13 | ||
| 66794 | non-pathway related | 52.63 | 20 of 38 | ||
| 66794 | oxidative phosphorylation | 50.55 | 46 of 91 | ||
| 66794 | ketogluconate metabolism | 50 | 4 of 8 | ||
| 66794 | gluconeogenesis | 50 | 4 of 8 | ||
| 66794 | methionine metabolism | 50 | 13 of 26 | ||
| 66794 | cysteine metabolism | 50 | 9 of 18 | ||
| 66794 | ribulose monophosphate pathway | 50 | 1 of 2 | ||
| 66794 | phenylmercury acetate degradation | 50 | 1 of 2 | ||
| 66794 | sulfopterin metabolism | 50 | 2 of 4 | ||
| 66794 | ethanol fermentation | 50 | 1 of 2 | ||
| 66794 | adipate degradation | 50 | 1 of 2 | ||
| 66794 | lipid metabolism | 48.39 | 15 of 31 | ||
| 66794 | glutamate and glutamine metabolism | 46.43 | 13 of 28 | ||
| 66794 | leucine metabolism | 46.15 | 6 of 13 | ||
| 66794 | metabolism of disaccharids | 45.45 | 5 of 11 | ||
| 66794 | alanine metabolism | 44.83 | 13 of 29 | ||
| 66794 | d-mannose degradation | 44.44 | 4 of 9 | ||
| 66794 | NAD metabolism | 44.44 | 8 of 18 | ||
| 66794 | reductive acetyl coenzyme A pathway | 42.86 | 3 of 7 | ||
| 66794 | mevalonate metabolism | 42.86 | 3 of 7 | ||
| 66794 | tetrahydrofolate metabolism | 42.86 | 6 of 14 | ||
| 66794 | glutathione metabolism | 42.86 | 6 of 14 | ||
| 66794 | degradation of pentoses | 42.86 | 12 of 28 | ||
| 66794 | degradation of aromatic, nitrogen containing compounds | 41.67 | 5 of 12 | ||
| 66794 | glycine metabolism | 40 | 4 of 10 | ||
| 66794 | arachidonate biosynthesis | 40 | 2 of 5 | ||
| 66794 | bacilysin biosynthesis | 40 | 2 of 5 | ||
| 66794 | Entner Doudoroff pathway | 40 | 4 of 10 | ||
| 66794 | cellulose degradation | 40 | 2 of 5 | ||
| 66794 | starch degradation | 40 | 4 of 10 | ||
| 66794 | phenylpropanoid biosynthesis | 38.46 | 5 of 13 | ||
| 66794 | urea cycle | 38.46 | 5 of 13 | ||
| 66794 | isoleucine metabolism | 37.5 | 3 of 8 | ||
| 66794 | arginine metabolism | 37.5 | 9 of 24 | ||
| 66794 | tryptophan metabolism | 36.84 | 14 of 38 | ||
| 66794 | d-xylose degradation | 36.36 | 4 of 11 | ||
| 66794 | octane oxidation | 33.33 | 1 of 3 | ||
| 66794 | acetyl CoA biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | IAA biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | valine metabolism | 33.33 | 3 of 9 | ||
| 66794 | glycolate and glyoxylate degradation | 33.33 | 2 of 6 | ||
| 66794 | sphingosine metabolism | 33.33 | 2 of 6 | ||
| 66794 | enterobactin biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | ascorbate metabolism | 31.82 | 7 of 22 | ||
| 66794 | myo-inositol biosynthesis | 30 | 3 of 10 | ||
| 66794 | propionate fermentation | 30 | 3 of 10 | ||
| 66794 | citric acid cycle | 28.57 | 4 of 14 | ||
| 66794 | ubiquinone biosynthesis | 28.57 | 2 of 7 | ||
| 66794 | histidine metabolism | 27.59 | 8 of 29 | ||
| 66794 | vitamin B6 metabolism | 27.27 | 3 of 11 | ||
| 66794 | flavin biosynthesis | 26.67 | 4 of 15 | ||
| 66794 | carnitine metabolism | 25 | 2 of 8 | ||
| 66794 | lactate fermentation | 25 | 1 of 4 | ||
| 66794 | cyclohexanol degradation | 25 | 1 of 4 | ||
| 66794 | butanoate fermentation | 25 | 1 of 4 | ||
| 66794 | biotin biosynthesis | 25 | 1 of 4 | ||
| 66794 | lysine metabolism | 23.81 | 10 of 42 | ||
| 66794 | isoprenoid biosynthesis | 23.08 | 6 of 26 | ||
| 66794 | nitrate assimilation | 22.22 | 2 of 9 | ||
| 66794 | lipid A biosynthesis | 22.22 | 2 of 9 |
| @ref | Sample type | Geographic location | Country | Country ISO 3 Code | Continent | Isolation date | |
|---|---|---|---|---|---|---|---|
| 34923 | United Kingdom | GBR | Europe | ||||
| 51495 | Human spinal cord,removed at autopsy | Colchester | United Kingdom | GBR | Europe | ||
| 67771 | From human spinal cord, removed at autopsy | Colchester | United Kingdom | GBR | Europe | ||
| 34923 | Human, Acute multiple sclerosis | Colchester General Hospital | United Kingdom | GBR | Europe | 1988 |
Global distribution of 16S sequence GU395995 (>99% sequence identity) for Dolosigranulum pigrum subclade from Microbeatlas ![]()
| @ref | Biosafety level | Biosafety level comment | |
|---|---|---|---|
| 34923 | 1 | Risk group (French classification) |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | Dolo_pigr_ATCC_51524_V1 assembly for Dolosigranulum pigrum ATCC 51524 | scaffold | 883103 | 75.71 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 67771 | Dolosigranulum pigrum strain 33929-06 16S ribosomal RNA gene, partial sequence | GU395995 | 1375 | 29394 | ||
| 124043 | Dolosigranulum pigrum gene for 16S rRNA, partial sequence, strain: NBRC 15550. | AB680900 | 1472 | 29394 | ||
| 124043 | Dolosigranulum pigrum NBRC 15550 gene for 16S rRNA, partial sequence. | LC752391 | 588 | 29394 | ||
| 124043 | D.pigrum 16S rRNA gene (partial) | X70907 | 1523 | 29394 | ||
| 124043 | Dolosigranulum pigrum strain CCUG 33392 16S-23S ribosomal RNA intergenic spacer, complete sequence. | JQ012770 | 253 | 29394 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | yes | 87.60 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 60.10 | no |
| 125439 | gram_stain | BacteriaNetⓘ | variable | 72.40 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | facultative anaerobe | 97.60 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 89.30 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 87.12 | no |
| 125438 | aerobic | aerobicⓘ | no | 91.51 | yes |
| 125438 | spore-forming | spore-formingⓘ | no | 81.57 | no |
| 125438 | thermophilic | thermophileⓘ | no | 92.45 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 86.50 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Quantitative assessment of individual populations within polymicrobial biofilms. | Lopes SP, Azevedo NF, Pereira MO. | Sci Rep | 10.1038/s41598-018-27497-9 | 2018 | ||
| Genetics | Genomic Stability and Genetic Defense Systems in Dolosigranulum pigrum, a Candidate Beneficial Bacterium from the Human Microbiome. | Flores Ramos S, Brugger SD, Escapa IF, Skeete CA, Cotton SL, Eslami SM, Gao W, Bomar L, Tran TH, Jones DS, Minot S, Roberts RJ, Johnston CD, Lemon KP. | mSystems | 10.1128/msystems.00425-21 | 2021 | |
| Genetics | Whole-Genome Shotgun Sequencing for Nasopharyngeal Microbiome in Pre-school Children With Recurrent Wheezing. | Song Y, Hou J, Kwok JSL, Weng H, Tang MF, Wang MH, Leung ASY, Tao KP, Wong GWK, Chan RWY, Tsui SKW, Leung TF. | Front Microbiol | 10.3389/fmicb.2021.792556 | 2021 | |
| Metabolism | Dolosigranulum pigrum Cooperation and Competition in Human Nasal Microbiota. | Brugger SD, Eslami SM, Pettigrew MM, Escapa IF, Henke MT, Kong Y, Lemon KP. | mSphere | 10.1128/msphere.00852-20 | 2020 | |
| Genetics | Application of a Novel "Pan-Genome"-Based Strategy for Assigning RNAseq Transcript Reads to Staphylococcus aureus Strains. | Chaves-Moreno D, Wos-Oxley ML, Jauregui R, Medina E, Oxley AP, Pieper DH. | PLoS One | 10.1371/journal.pone.0145861 | 2015 | |
| Phylogeny | Oral Microbiome Shifts From Caries-Free to Caries-Affected Status in 3-Year-Old Chinese Children: A Longitudinal Study. | Xu H, Tian J, Hao W, Zhang Q, Zhou Q, Shi W, Qin M, He X, Chen F. | Front Microbiol | 10.3389/fmicb.2018.02009 | 2018 | |
| Complete Genome Sequence of Dolosigranulum pigrum from a Patient with Interstitial Lung Disease Using Single-Molecule Real-Time Sequencing Technology. | Mukhopadhyay R, Joaquin J, Hogue R, Fitzgerald S, Jospin G, Mars K, Eisen JA, Chaturvedi V. | Genome Announc | 10.1128/genomea.00317-17 | 2017 | ||
| Internal and external microbiota of home-caught Anopheles coluzzii (Diptera: Culicidae) from Côte d'Ivoire, Africa: Mosquitoes are filthy. | Chen K, Ponnusamy L, Mouhamadou CS, Fodjo BK, Sadia GC, Affoue FPK, Deguenon JM, Roe RM. | PLoS One | 10.1371/journal.pone.0278912 | 2022 | ||
| Phylogeny | Phenotypic and phylogenetic characterization of some Gemella-like organisms from human infections: description of Dolosigranulum pigrum gen. nov., sp. nov. | Aguirre M, Morrison D, Cookson BD, Gay FW, Collins MD | J Appl Bacteriol | 10.1111/j.1365-2672.1993.tb01602.x | 1993 |
| #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 ) |
| #34923 | Collection of Institut Pasteur ; Curators of the CIP; CIP 104051 |
| #51495 | Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 33392 |
| #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 ) |
| #67771 | Korean Collection for Type Cultures (KCTC) ; Curators of the KCTC; |
| #68382 | Automatically annotated from API zym . |
| #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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