Marinisporobacter balticus 59.4M is a facultative anaerobe, heterotroph, spore-forming bacterium that was isolated from marine subsurface sediment, sediment depth of 12.7 m.
spore-forming Gram-positive rod-shaped facultative anaerobe heterotroph genome sequence 16S sequence Bacteria| @ref 20215 |
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| Domain Bacteria |
| Phylum Bacillota |
| Class Clostridia |
| Order Eubacteriales |
| Family Clostridiaceae |
| Genus Marinisporobacter |
| Species Marinisporobacter balticus |
| Full scientific name Marinisporobacter balticus Vandieken et al. 2017 |
| @ref | Gram stain | Cell length | Cell width | Cell shape | |
|---|---|---|---|---|---|
| 43225 | positive | 2.7-7.8 µm | 0.6-0.8 µm | rod-shaped |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 42900 | DESULFOVIBRIO (MV) MEDIUM (DSMZ Medium 641) | Medium recipe at MediaDive | Name: DESULFOVIBRIO (MV) MEDIUM (DSMZ Medium 641; with strain-specific modifications) Composition: D-Fructose 3.48953 g/l Na2SO4 1.99402 g/l Na2S2O3 x 5 H2O 0.997009 g/l MgSO4 x 7 H2O 0.997009 g/l NH4Cl 0.997009 g/l Yeast extract 0.997009 g/l Na2CO3 0.997009 g/l KH2PO4 0.498504 g/l Na2S x 9 H2O 0.0997009 g/l CaCl2 x 2 H2O 0.0997009 g/l HCl 0.00249252 g/l FeCl2 x 4 H2O 0.00149551 g/l NaOH 0.000498504 g/l Sodium resazurin 0.000498504 g/l CoCl2 x 6 H2O 0.000189432 g/l Pyridoxine hydrochloride 9.97009e-05 g/l MnCl2 x 4 H2O 9.97009e-05 g/l ZnCl2 6.97906e-05 g/l p-Aminobenzoic acid 4.98504e-05 g/l (DL)-alpha-Lipoic acid 4.98504e-05 g/l Riboflavin 4.98504e-05 g/l Thiamine HCl 4.98504e-05 g/l Nicotinic acid 4.98504e-05 g/l Calcium D-(+)-pantothenate 4.98504e-05 g/l Na2MoO4 x 2 H2O 3.58923e-05 g/l NiCl2 x 6 H2O 2.39282e-05 g/l Folic acid 1.99402e-05 g/l Biotin 1.99402e-05 g/l H3BO3 5.98205e-06 g/l Na2WO4 x 2 H2O 3.98804e-06 g/l Na2SeO3 x 5 H2O 2.99103e-06 g/l CuCl2 x 2 H2O 1.99402e-06 g/l Vitamin B12 9.97009e-07 g/l Distilled water |
| 43225 | Typeheterotroph |
| @ref | Type of spore | Spore formation | |
|---|---|---|---|
| 43225 | endospore |
| @ref | Chebi-ID | Metabolite | Utilization activity | Kind of utilization tested | |
|---|---|---|---|---|---|
| 43225 | 52682 ChEBI | 1,2-butandiol | - | anaerobic growth | |
| 43225 | 30089 ChEBI | acetate | - | anaerobic growth | |
| 43225 | 16449 ChEBI | alanine | - | anaerobic growth | |
| 43225 | 22599 ChEBI | arabinose | - | anaerobic growth | |
| 43225 | 29016 ChEBI | arginine | - | anaerobic growth | |
| 43225 | 22653 ChEBI | asparagine | - | anaerobic growth | |
| 43225 | 17750 ChEBI | betaine | - | anaerobic growth | |
| 43225 | 28885 ChEBI | butanol | - | anaerobic growth | |
| 43225 | 17968 ChEBI | butyrate | - | anaerobic growth | |
| 43225 | 16526 ChEBI | carbon dioxide | - | anaerobic growth | |
| 43225 | casein | + | anaerobic growth | ||
| 43225 | casein | + | aerobic growth | ||
| 43225 | 17057 ChEBI | cellobiose | - | anaerobic growth | |
| 43225 | 16236 ChEBI | ethanol | - | anaerobic growth | |
| 43225 | 15740 ChEBI | formate | - | anaerobic growth | |
| 43225 | 28757 ChEBI | fructose | + | anaerobic growth | |
| 43225 | 29806 ChEBI | fumarate | + | anaerobic growth | |
| 43225 | 28260 ChEBI | galactose | - | anaerobic growth | |
| 43225 | 17234 ChEBI | glucose | + | anaerobic growth | |
| 43225 | 28300 ChEBI | glutamine | - | anaerobic growth | |
| 43225 | 15978 ChEBI | glycerol 3-phosphate | - | anaerobic growth | |
| 43225 | 27570 ChEBI | histidine | - | anaerobic growth | |
| 43225 | 24898 ChEBI | isoleucine | - | anaerobic growth | |
| 43225 | 24996 ChEBI | lactate | - | anaerobic growth | |
| 43225 | 17716 ChEBI | lactose | - | anaerobic growth | |
| 43225 | 25094 ChEBI | lysine | - | anaerobic growth | |
| 43225 | 25115 ChEBI | malate | - | anaerobic growth | |
| 43225 | 17306 ChEBI | maltose | - | anaerobic growth | |
| 43225 | 29864 ChEBI | mannitol | - | anaerobic growth | |
| 43225 | 17790 ChEBI | methanol | - | anaerobic growth | |
| 43225 | 506227 ChEBI | N-acetylglucosamine | - | anaerobic growth | |
| 43225 | 17632 ChEBI | nitrate | - | electron acceptor | |
| 43225 | peptone | + | anaerobic growth | ||
| 43225 | peptone | + | aerobic growth | ||
| 43225 | 26271 ChEBI | proline | - | anaerobic growth | |
| 43225 | 28831 ChEBI | propanol | - | anaerobic growth | |
| 43225 | 17272 ChEBI | propionate | - | anaerobic growth | |
| 43225 | 15361 ChEBI | pyruvate | - | anaerobic growth | |
| 43225 | 26546 ChEBI | rhamnose | - | anaerobic growth | |
| 43225 | 33942 ChEBI | ribose | - | anaerobic growth | |
| 43225 | 17822 ChEBI | serine | - | anaerobic growth | |
| 43225 | 30031 ChEBI | succinate | - | anaerobic growth | |
| 43225 | 16189 ChEBI | sulfate | - | electron acceptor | |
| 43225 | 18139 ChEBI | trimethylamine | - | anaerobic growth | |
| 43225 | tryptone | + | anaerobic growth | ||
| 43225 | tryptone | + | aerobic growth | ||
| 43225 | 18222 ChEBI | xylose | - | anaerobic growth | |
| 43225 | yeast extract | + | anaerobic growth | ||
| 43225 | yeast extract | + | aerobic growth |
| @ref | pathway | enzyme coverage | annotated reactions | external links | |
|---|---|---|---|---|---|
| 66794 | threonine metabolism | 100 | 10 of 10 | ||
| 66794 | CDP-diacylglycerol biosynthesis | 100 | 2 of 2 | ||
| 66794 | biotin biosynthesis | 100 | 4 of 4 | ||
| 66794 | L-lactaldehyde degradation | 100 | 3 of 3 | ||
| 66794 | ppGpp biosynthesis | 100 | 4 of 4 | ||
| 66794 | coenzyme A metabolism | 100 | 4 of 4 | ||
| 66794 | aminopropanol phosphate biosynthesis | 100 | 2 of 2 | ||
| 66794 | cis-vaccenate biosynthesis | 100 | 2 of 2 | ||
| 66794 | adipate degradation | 100 | 2 of 2 | ||
| 66794 | palmitate biosynthesis | 100 | 22 of 22 | ||
| 66794 | UDP-GlcNAc biosynthesis | 100 | 3 of 3 | ||
| 66794 | suberin monomers biosynthesis | 100 | 2 of 2 | ||
| 66794 | folate polyglutamylation | 100 | 1 of 1 | ||
| 66794 | anapleurotic synthesis of oxalacetate | 100 | 1 of 1 | ||
| 66794 | vitamin B1 metabolism | 92.31 | 12 of 13 | ||
| 66794 | vitamin B12 metabolism | 91.18 | 31 of 34 | ||
| 66794 | alanine metabolism | 89.66 | 26 of 29 | ||
| 66794 | aspartate and asparagine metabolism | 88.89 | 8 of 9 | ||
| 66794 | chorismate metabolism | 88.89 | 8 of 9 | ||
| 66794 | isoleucine metabolism | 87.5 | 7 of 8 | ||
| 66794 | ubiquinone biosynthesis | 85.71 | 6 of 7 | ||
| 66794 | tetrahydrofolate metabolism | 85.71 | 12 of 14 | ||
| 66794 | citric acid cycle | 85.71 | 12 of 14 | ||
| 66794 | urea cycle | 84.62 | 11 of 13 | ||
| 66794 | glutamate and glutamine metabolism | 82.14 | 23 of 28 | ||
| 66794 | cellulose degradation | 80 | 4 of 5 | ||
| 66794 | hydrogen production | 80 | 4 of 5 | ||
| 66794 | glycine betaine biosynthesis | 80 | 4 of 5 | ||
| 66794 | peptidoglycan biosynthesis | 80 | 12 of 15 | ||
| 66794 | myo-inositol biosynthesis | 80 | 8 of 10 | ||
| 66794 | propionate fermentation | 80 | 8 of 10 | ||
| 66794 | photosynthesis | 78.57 | 11 of 14 | ||
| 66794 | molybdenum cofactor biosynthesis | 77.78 | 7 of 9 | ||
| 66794 | NAD metabolism | 77.78 | 14 of 18 | ||
| 66794 | CO2 fixation in Crenarchaeota | 77.78 | 7 of 9 | ||
| 66794 | valine metabolism | 77.78 | 7 of 9 | ||
| 66794 | phenylalanine metabolism | 76.92 | 10 of 13 | ||
| 66794 | acetate fermentation | 75 | 3 of 4 | ||
| 66794 | butanoate fermentation | 75 | 3 of 4 | ||
| 66794 | C4 and CAM-carbon fixation | 75 | 6 of 8 | ||
| 66794 | sulfopterin metabolism | 75 | 3 of 4 | ||
| 66794 | purine metabolism | 73.4 | 69 of 94 | ||
| 66794 | pyrimidine metabolism | 73.33 | 33 of 45 | ||
| 66794 | flavin biosynthesis | 73.33 | 11 of 15 | ||
| 66794 | histidine metabolism | 72.41 | 21 of 29 | ||
| 66794 | reductive acetyl coenzyme A pathway | 71.43 | 5 of 7 | ||
| 66794 | heme metabolism | 71.43 | 10 of 14 | ||
| 66794 | propanol degradation | 71.43 | 5 of 7 | ||
| 66794 | glycolysis | 70.59 | 12 of 17 | ||
| 66794 | arginine metabolism | 66.67 | 16 of 24 | ||
| 66794 | formaldehyde oxidation | 66.67 | 2 of 3 | ||
| 66794 | serine metabolism | 66.67 | 6 of 9 | ||
| 66794 | d-mannose degradation | 66.67 | 6 of 9 | ||
| 66794 | selenocysteine biosynthesis | 66.67 | 4 of 6 | ||
| 66794 | glycolate and glyoxylate degradation | 66.67 | 4 of 6 | ||
| 66794 | cyanate degradation | 66.67 | 2 of 3 | ||
| 66794 | acetoin degradation | 66.67 | 2 of 3 | ||
| 66794 | octane oxidation | 66.67 | 2 of 3 | ||
| 66794 | methionine metabolism | 65.38 | 17 of 26 | ||
| 66794 | proline metabolism | 63.64 | 7 of 11 | ||
| 66794 | pentose phosphate pathway | 63.64 | 7 of 11 | ||
| 66794 | vitamin B6 metabolism | 63.64 | 7 of 11 | ||
| 66794 | gluconeogenesis | 62.5 | 5 of 8 | ||
| 66794 | 6-hydroxymethyl-dihydropterin diphosphate biosynthesis | 62.5 | 5 of 8 | ||
| 66794 | ketogluconate metabolism | 62.5 | 5 of 8 | ||
| 66794 | leucine metabolism | 61.54 | 8 of 13 | ||
| 66794 | oxidative phosphorylation | 61.54 | 56 of 91 | ||
| 66794 | cysteine metabolism | 61.11 | 11 of 18 | ||
| 66794 | non-pathway related | 60.53 | 23 of 38 | ||
| 66794 | tryptophan metabolism | 60.53 | 23 of 38 | ||
| 66794 | metabolism of amino sugars and derivatives | 60 | 3 of 5 | ||
| 66794 | factor 420 biosynthesis | 60 | 3 of 5 | ||
| 66794 | Entner Doudoroff pathway | 60 | 6 of 10 | ||
| 66794 | isoprenoid biosynthesis | 57.69 | 15 of 26 | ||
| 66794 | lipid metabolism | 54.84 | 17 of 31 | ||
| 66794 | lysine metabolism | 52.38 | 22 of 42 | ||
| 66794 | starch degradation | 50 | 5 of 10 | ||
| 66794 | degradation of aromatic, nitrogen containing compounds | 50 | 6 of 12 | ||
| 66794 | CMP-KDO biosynthesis | 50 | 2 of 4 | ||
| 66794 | dTDPLrhamnose biosynthesis | 50 | 4 of 8 | ||
| 66794 | phenylmercury acetate degradation | 50 | 1 of 2 | ||
| 66794 | ethanol fermentation | 50 | 1 of 2 | ||
| 66794 | degradation of sugar alcohols | 50 | 8 of 16 | ||
| 66794 | toluene degradation | 50 | 2 of 4 | ||
| 66794 | glycogen biosynthesis | 50 | 2 of 4 | ||
| 66794 | glycine metabolism | 50 | 5 of 10 | ||
| 66794 | lactate fermentation | 50 | 2 of 4 | ||
| 66794 | ribulose monophosphate pathway | 50 | 1 of 2 | ||
| 66794 | pantothenate biosynthesis | 50 | 3 of 6 | ||
| 66794 | degradation of sugar acids | 48 | 12 of 25 | ||
| 66794 | tyrosine metabolism | 42.86 | 6 of 14 | ||
| 66794 | cardiolipin biosynthesis | 42.86 | 3 of 7 | ||
| 66794 | 4-hydroxyphenylacetate degradation | 40 | 4 of 10 | ||
| 66794 | lipoate biosynthesis | 40 | 2 of 5 | ||
| 66794 | phenol degradation | 40 | 8 of 20 | ||
| 66794 | methylglyoxal degradation | 40 | 2 of 5 | ||
| 66794 | gallate degradation | 40 | 2 of 5 | ||
| 66794 | arachidonate biosynthesis | 40 | 2 of 5 | ||
| 66794 | ethylmalonyl-CoA pathway | 40 | 2 of 5 | ||
| 66794 | 3-chlorocatechol degradation | 40 | 2 of 5 | ||
| 66794 | glycogen metabolism | 40 | 2 of 5 | ||
| 66794 | phosphatidylethanolamine bioynthesis | 38.46 | 5 of 13 | ||
| 66794 | metabolism of disaccharids | 36.36 | 4 of 11 | ||
| 66794 | degradation of hexoses | 33.33 | 6 of 18 | ||
| 66794 | IAA biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | lipid A biosynthesis | 33.33 | 3 of 9 | ||
| 66794 | acetyl CoA biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | nitrate assimilation | 33.33 | 3 of 9 | ||
| 66794 | allantoin degradation | 33.33 | 3 of 9 | ||
| 66794 | enterobactin biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | polyamine pathway | 30.43 | 7 of 23 | ||
| 66794 | coenzyme M biosynthesis | 30 | 3 of 10 | ||
| 66794 | glutathione metabolism | 28.57 | 4 of 14 | ||
| 66794 | degradation of pentoses | 28.57 | 8 of 28 | ||
| 66794 | benzoyl-CoA degradation | 28.57 | 2 of 7 | ||
| 66794 | vitamin E metabolism | 25 | 1 of 4 | ||
| 66794 | cyclohexanol degradation | 25 | 1 of 4 | ||
| 66794 | methanogenesis from CO2 | 25 | 3 of 12 | ||
| 66794 | sulfate reduction | 23.08 | 3 of 13 | ||
| 66794 | ascorbate metabolism | 22.73 | 5 of 22 | ||
| 66794 | 4-hydroxymandelate degradation | 22.22 | 2 of 9 |
| Metadata FA analysis | |||||||||||||||||||||||||||||||||||||
| type of FA analysis | whole cell analysis | ||||||||||||||||||||||||||||||||||||
| incubation medium | seawater medium | ||||||||||||||||||||||||||||||||||||
| system | MIS MIDI | ||||||||||||||||||||||||||||||||||||
| @ref | 43225 | ||||||||||||||||||||||||||||||||||||
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| @ref | Sample type | Sampling date | Geographic location | Country | Country ISO 3 Code | Continent | Latitude | Longitude | Enrichment culture | Enrichment culture temperature | Isolation procedure | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 42900 | marine subsurface sediment, sediment depth of 12.7 m | Baltic Sea, Little Belt (IODP Expedition 347, Research vessel "Greatship Manisha"), station M0059 | Denmark | DNK | Europe | 55.0048 | 10.1082 55.0048/10.1082 | |||||
| 43225 | sediment samples from depth of 12.7 m | 2013-10-30 | Little Belt, Baltic Sea | Denmark | DNK | Europe | 55 | 10 55/10 | seawater medium | 15 | several transfers of anoxic deep-agar dilution series | |
| 67770 | Subsurface of marine sediment from Little Belt (Baltic Sea) | Denmark | DNK | Europe |
Global distribution of 16S sequence KX822012 (>99% sequence identity) for Marinisporobacter balticus subclade from Microbeatlas ![]()
| @ref | Biosafety level | Biosafety level comment | |
|---|---|---|---|
| 42900 | 1 | Risk group (German classification) |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 67770 | ASM434570v1 assembly for Marinisporobacter balticus DSM 102940 | contig | 2018667 | 63.08 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 42900 | Marinisporobacter balticus strain 59.4M 16S ribosomal RNA gene, partial sequence | KX822012 | 1435 | 2018667 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | oxygen_tolerance | BacteriaNetⓘ | anaerobe | 97.97 | no |
| 125439 | gram_stain | BacteriaNetⓘ | variable | 49.66 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 67.55 | no |
| 125439 | spore_formation | BacteriaNetⓘ | yes | 61.29 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 53.39 | no |
| 125438 | anaerobic | anaerobicⓘ | yes | 71.31 | yes |
| 125438 | spore-forming | spore-formingⓘ | yes | 77.78 | yes |
| 125438 | aerobic | aerobicⓘ | no | 93.37 | yes |
| 125438 | thermophilic | thermophileⓘ | no | 87.08 | yes |
| 125438 | flagellated | motile2+ⓘ | yes | 80.94 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Phylogeny | Marinisporobacter balticus gen. nov., sp. nov., Desulfosporosinus nitroreducens sp. nov. and Desulfosporosinus fructosivorans sp. nov., new spore-forming bacteria isolated from subsurface sediments of the Baltic Sea. | Vandieken V, Niemann H, Engelen B, Cypionka H | Int J Syst Evol Microbiol | 10.1099/ijsem.0.001883 | 2017 |
| #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 ) |
| #42900 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 102940 |
| #43225 | Verona Vandieken, Helge Niemann, Bert Engelen, Heribert Cypionka: Marinisporobacter balticus gen. nov., sp. nov., Desulfosporosinus nitroreducens sp. nov. And Desulfosporosinus fructosivorans sp. nov., new spore-forming bacteria isolated from subsurface sediments of the Baltic Sea. IJSEM 67: 1887 - 1893 2017 ( DOI 10.1099/ijsem.0.001883 , PubMed 28646634 ) |
| #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 ) |
| #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 . |
| #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/bacdive140293.20260601.11
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BacDive in 2025: the core database for prokaryotic strain data