Roseinatronobacter bogoriensis subsp. barguzinensis alga-05 is an anaerobe bacterium that was isolated from thin bacterial mat from a soda lake.
anaerobe genome sequence 16S sequence Bacteria| @ref 20215 |
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| Domain Bacteria |
| Phylum Pseudomonadota |
| Class Alphaproteobacteria |
| Order Rhodobacterales |
| Family Paracoccaceae |
| Genus Roseinatronobacter |
| Species Roseinatronobacter bogoriensis subsp. barguzinensis |
| Full scientific name Roseinatronobacter bogoriensis subsp. barguzinensis (Boldareva et al. 2009) Hu et al. 2024 |
| Synonyms (2) |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 8389 | RHODOBACA BARGUZINENSIS MEDIUM (DSMZ Medium 1227) | Medium recipe at MediaDive | Name: RHODOBACA BARGUZINENSIS MEDIUM (DSMZ Medium 1227) Composition: NaCl 20.0 g/l Na2CO3 10.0 g/l NaHCO3 5.0 g/l Yeast extract 1.0 g/l Na2S2O3 x 5 H2O 1.0 g/l KH2PO4 0.5 g/l Na2SO4 0.5 g/l KCl 0.5 g/l NaNO3 0.4 g/l NH4Cl 0.4 g/l MgCl2 x 6 H2O 0.2 g/l CoCl2 x 6 H2O 0.0001998 g/l MnCl2 x 4 H2O 9.99001e-05 g/l ZnCl2 6.99301e-05 g/l H3BO3 5.99401e-05 g/l Na2MoO4 x 2 H2O 3.996e-05 g/l NiCl2 x 6 H2O 1.998e-05 g/l CuCl2 x 2 H2O 1.998e-05 g/l HCl Vitamin B12 Distilled water |
| @ref | Growth | Type | Temperature (°C) | |
|---|---|---|---|---|
| 8389 | positive | growth | 28 |
| @ref | pathway | enzyme coverage | annotated reactions | external links | |
|---|---|---|---|---|---|
| 66794 | octane oxidation | 100 | 3 of 3 | ||
| 66794 | coenzyme A metabolism | 100 | 4 of 4 | ||
| 66794 | formaldehyde oxidation | 100 | 3 of 3 | ||
| 66794 | adipate degradation | 100 | 2 of 2 | ||
| 66794 | molybdenum cofactor biosynthesis | 100 | 9 of 9 | ||
| 66794 | phenylacetate degradation (aerobic) | 100 | 5 of 5 | ||
| 66794 | ethanol fermentation | 100 | 2 of 2 | ||
| 66794 | ethylmalonyl-CoA pathway | 100 | 5 of 5 | ||
| 66794 | Entner Doudoroff pathway | 100 | 10 of 10 | ||
| 66794 | cis-vaccenate biosynthesis | 100 | 2 of 2 | ||
| 66794 | cardiolipin biosynthesis | 100 | 7 of 7 | ||
| 66794 | quinate degradation | 100 | 2 of 2 | ||
| 66794 | resorcinol degradation | 100 | 2 of 2 | ||
| 66794 | methylglyoxal degradation | 100 | 5 of 5 | ||
| 66794 | ppGpp biosynthesis | 100 | 4 of 4 | ||
| 66794 | palmitate biosynthesis | 100 | 22 of 22 | ||
| 66794 | CDP-diacylglycerol biosynthesis | 100 | 2 of 2 | ||
| 66794 | UDP-GlcNAc biosynthesis | 100 | 3 of 3 | ||
| 66794 | gluconeogenesis | 100 | 8 of 8 | ||
| 66794 | anapleurotic synthesis of oxalacetate | 100 | 1 of 1 | ||
| 66794 | suberin monomers biosynthesis | 100 | 2 of 2 | ||
| 66794 | lactate fermentation | 100 | 4 of 4 | ||
| 66794 | folate polyglutamylation | 100 | 1 of 1 | ||
| 66794 | methane metabolism | 100 | 3 of 3 | ||
| 66794 | denitrification | 100 | 2 of 2 | ||
| 66794 | C4 and CAM-carbon fixation | 100 | 8 of 8 | ||
| 66794 | leucine metabolism | 92.31 | 12 of 13 | ||
| 66794 | vitamin B12 metabolism | 91.18 | 31 of 34 | ||
| 66794 | threonine metabolism | 90 | 9 of 10 | ||
| 66794 | CO2 fixation in Crenarchaeota | 88.89 | 8 of 9 | ||
| 66794 | allantoin degradation | 88.89 | 8 of 9 | ||
| 66794 | serine metabolism | 88.89 | 8 of 9 | ||
| 66794 | valine metabolism | 88.89 | 8 of 9 | ||
| 66794 | lipid A biosynthesis | 88.89 | 8 of 9 | ||
| 66794 | 4-hydroxymandelate degradation | 88.89 | 8 of 9 | ||
| 66794 | chorismate metabolism | 88.89 | 8 of 9 | ||
| 66794 | isoleucine metabolism | 87.5 | 7 of 8 | ||
| 66794 | pyrimidine metabolism | 86.67 | 39 of 45 | ||
| 66794 | reductive acetyl coenzyme A pathway | 85.71 | 6 of 7 | ||
| 66794 | ubiquinone biosynthesis | 85.71 | 6 of 7 | ||
| 66794 | vitamin B1 metabolism | 84.62 | 11 of 13 | ||
| 66794 | phenylalanine metabolism | 84.62 | 11 of 13 | ||
| 66794 | degradation of aromatic, nitrogen containing compounds | 83.33 | 10 of 12 | ||
| 66794 | proline metabolism | 81.82 | 9 of 11 | ||
| 66794 | purine metabolism | 80.85 | 76 of 94 | ||
| 66794 | peptidoglycan biosynthesis | 80 | 12 of 15 | ||
| 66794 | cellulose degradation | 80 | 4 of 5 | ||
| 66794 | gallate degradation | 80 | 4 of 5 | ||
| 66794 | glutathione metabolism | 78.57 | 11 of 14 | ||
| 66794 | photosynthesis | 78.57 | 11 of 14 | ||
| 66794 | NAD metabolism | 77.78 | 14 of 18 | ||
| 66794 | methionine metabolism | 76.92 | 20 of 26 | ||
| 66794 | acetate fermentation | 75 | 3 of 4 | ||
| 66794 | sulfopterin metabolism | 75 | 3 of 4 | ||
| 66794 | butanoate fermentation | 75 | 3 of 4 | ||
| 66794 | 6-hydroxymethyl-dihydropterin diphosphate biosynthesis | 75 | 6 of 8 | ||
| 66794 | lipid metabolism | 74.19 | 23 of 31 | ||
| 66794 | pentose phosphate pathway | 72.73 | 8 of 11 | ||
| 66794 | histidine metabolism | 72.41 | 21 of 29 | ||
| 66794 | alanine metabolism | 72.41 | 21 of 29 | ||
| 66794 | glutamate and glutamine metabolism | 71.43 | 20 of 28 | ||
| 66794 | tyrosine metabolism | 71.43 | 10 of 14 | ||
| 66794 | citric acid cycle | 71.43 | 10 of 14 | ||
| 66794 | heme metabolism | 71.43 | 10 of 14 | ||
| 66794 | tetrahydrofolate metabolism | 71.43 | 10 of 14 | ||
| 66794 | tryptophan metabolism | 71.05 | 27 of 38 | ||
| 66794 | propionate fermentation | 70 | 7 of 10 | ||
| 66794 | sulfate reduction | 69.23 | 9 of 13 | ||
| 66794 | degradation of sugar alcohols | 68.75 | 11 of 16 | ||
| 66794 | oxidative phosphorylation | 67.03 | 61 of 91 | ||
| 66794 | aspartate and asparagine metabolism | 66.67 | 6 of 9 | ||
| 66794 | acetyl CoA biosynthesis | 66.67 | 2 of 3 | ||
| 66794 | nitrate assimilation | 66.67 | 6 of 9 | ||
| 66794 | cysteine metabolism | 66.67 | 12 of 18 | ||
| 66794 | acetoin degradation | 66.67 | 2 of 3 | ||
| 66794 | IAA biosynthesis | 66.67 | 2 of 3 | ||
| 66794 | d-mannose degradation | 66.67 | 6 of 9 | ||
| 66794 | cyanate degradation | 66.67 | 2 of 3 | ||
| 66794 | flavin biosynthesis | 66.67 | 10 of 15 | ||
| 66794 | L-lactaldehyde degradation | 66.67 | 2 of 3 | ||
| 66794 | glycolate and glyoxylate degradation | 66.67 | 4 of 6 | ||
| 66794 | chlorophyll metabolism | 66.67 | 12 of 18 | ||
| 66794 | isoprenoid biosynthesis | 65.38 | 17 of 26 | ||
| 66794 | glycolysis | 64.71 | 11 of 17 | ||
| 66794 | lysine metabolism | 64.29 | 27 of 42 | ||
| 66794 | vitamin B6 metabolism | 63.64 | 7 of 11 | ||
| 66794 | dTDPLrhamnose biosynthesis | 62.5 | 5 of 8 | ||
| 66794 | arginine metabolism | 62.5 | 15 of 24 | ||
| 66794 | urea cycle | 61.54 | 8 of 13 | ||
| 66794 | polyamine pathway | 60.87 | 14 of 23 | ||
| 66794 | non-pathway related | 60.53 | 23 of 38 | ||
| 66794 | 3-phenylpropionate degradation | 60 | 9 of 15 | ||
| 66794 | glycogen metabolism | 60 | 3 of 5 | ||
| 66794 | lipoate biosynthesis | 60 | 3 of 5 | ||
| 66794 | propanol degradation | 57.14 | 4 of 7 | ||
| 66794 | phenol degradation | 55 | 11 of 20 | ||
| 66794 | d-xylose degradation | 54.55 | 6 of 11 | ||
| 66794 | degradation of pentoses | 53.57 | 15 of 28 | ||
| 66794 | degradation of sugar acids | 52 | 13 of 25 | ||
| 66794 | aminopropanol phosphate biosynthesis | 50 | 1 of 2 | ||
| 66794 | coenzyme M biosynthesis | 50 | 5 of 10 | ||
| 66794 | kanosamine biosynthesis II | 50 | 1 of 2 | ||
| 66794 | 4-hydroxyphenylacetate degradation | 50 | 5 of 10 | ||
| 66794 | pantothenate biosynthesis | 50 | 3 of 6 | ||
| 66794 | biotin biosynthesis | 50 | 2 of 4 | ||
| 66794 | cyclohexanol degradation | 50 | 2 of 4 | ||
| 66794 | glycogen biosynthesis | 50 | 2 of 4 | ||
| 66794 | CMP-KDO biosynthesis | 50 | 2 of 4 | ||
| 66794 | ketogluconate metabolism | 50 | 4 of 8 | ||
| 66794 | toluene degradation | 50 | 2 of 4 | ||
| 66794 | phenylmercury acetate degradation | 50 | 1 of 2 | ||
| 66794 | selenocysteine biosynthesis | 50 | 3 of 6 | ||
| 66794 | glycine metabolism | 50 | 5 of 10 | ||
| 66794 | ribulose monophosphate pathway | 50 | 1 of 2 | ||
| 66794 | phosphatidylethanolamine bioynthesis | 46.15 | 6 of 13 | ||
| 66794 | metabolism of disaccharids | 45.45 | 5 of 11 | ||
| 66794 | arachidonic acid metabolism | 44.44 | 8 of 18 | ||
| 66794 | androgen and estrogen metabolism | 43.75 | 7 of 16 | ||
| 66794 | ascorbate metabolism | 40.91 | 9 of 22 | ||
| 66794 | vitamin K metabolism | 40 | 2 of 5 | ||
| 66794 | creatinine degradation | 40 | 2 of 5 | ||
| 66794 | myo-inositol biosynthesis | 40 | 4 of 10 | ||
| 66794 | 3-chlorocatechol degradation | 40 | 2 of 5 | ||
| 66794 | arachidonate biosynthesis | 40 | 2 of 5 | ||
| 66794 | hydrogen production | 40 | 2 of 5 | ||
| 66794 | dolichyl-diphosphooligosaccharide biosynthesis | 36.36 | 4 of 11 | ||
| 66794 | bile acid biosynthesis, neutral pathway | 35.29 | 6 of 17 | ||
| 66794 | degradation of hexoses | 33.33 | 6 of 18 | ||
| 66794 | (5R)-carbapenem carboxylate biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | sphingosine metabolism | 33.33 | 2 of 6 | ||
| 66794 | carotenoid biosynthesis | 31.82 | 7 of 22 | ||
| 66794 | starch degradation | 30 | 3 of 10 | ||
| 66794 | alginate biosynthesis | 25 | 1 of 4 | ||
| 66794 | carnitine metabolism | 25 | 2 of 8 | ||
| 66794 | daunorubicin biosynthesis | 22.22 | 2 of 9 |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Environmental | #Aquatic | #Lake (large) | |
| #Environmental | #Microbial community | #Microbial mat | |
| #Condition | #Alkaline | - |
| @ref | Sample type | Geographic location | Country | Country ISO 3 Code | Continent | |
|---|---|---|---|---|---|---|
| 8389 | thin bacterial mat from a soda lake | East Siberia, Buryatia, Bargusin Valley | Russia | RUS | Asia |
Global distribution of 16S sequence EF554833 (>99% sequence identity) for Rhodobaca from Microbeatlas ![]()
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 98.40 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 67.00 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 98.20 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 96.20 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 99.50 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 82.41 | yes |
| 125438 | aerobic | aerobicⓘ | yes | 75.17 | yes |
| 125438 | spore-forming | spore-formingⓘ | no | 93.55 | no |
| 125438 | thermophilic | thermophileⓘ | no | 98.11 | yes |
| 125438 | flagellated | motile2+ⓘ | yes | 62.98 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Genetics | Clustered Core- and Pan-Genome Content on Rhodobacteraceae Chromosomes. | Kopejtka K, Lin Y, Jakubovicova M, Koblizek M, Tomasch J. | Genome Biol Evol | 10.1093/gbe/evz138 | 2019 | |
| Genetics | Osmotic Adaptation and Compatible Solute Biosynthesis of Phototrophic Bacteria as Revealed from Genome Analyses. | Imhoff JF, Rahn T, Kunzel S, Keller A, Neulinger SC. | Microorganisms | 10.3390/microorganisms9010046 | 2020 | |
| Genomic Analysis of the Evolution of Phototrophy among Haloalkaliphilic Rhodobacterales. | Kopejtka K, Tomasch J, Zeng Y, Tichy M, Sorokin DY, Koblizek M. | Genome Biol Evol | 10.1093/gbe/evx141 | 2017 | ||
| Enzymology | Distribution and origin of oxygen-dependent and oxygen-independent forms of Mg-protoporphyrin monomethylester cyclase among phototrophic proteobacteria. | Boldareva-Nuianzina EN, Blahova Z, Sobotka R, Koblizek M. | Appl Environ Microbiol | 10.1128/aem.00104-13 | 2013 | |
| Genetics | Roseobacters in a Sea of Poly- and Paraphyly: Whole Genome-Based Taxonomy of the Family Rhodobacteraceae and the Proposal for the Split of the "Roseobacter Clade" Into a Novel Family, Roseobacteraceae fam. nov. | Liang KYH, Orata FD, Boucher YF, Case RJ. | Front Microbiol | 10.3389/fmicb.2021.683109 | 2021 | |
| Genetics | The complete genome sequence of Rhodobaca barguzinensis alga05 (DSM 19920) documents its adaptation for life in soda lakes. | Kopejtka K, Tomasch J, Bunk B, Sproer C, Wagner-Dobler I, Koblizek M | Extremophiles | 10.1007/s00792-018-1041-8 | 2018 | |
| Genome-based analysis of the family Paracoccaceae and description of Ostreiculturibacter nitratireducens gen. nov., sp. nov., isolated from an oyster farm on a tidal flat. | Huang Z, Li M, Oren A, Lai Q. | Front Microbiol | 10.3389/fmicb.2024.1376777 | 2024 | ||
| Phylogeny | [Rhodobaculum claviforme gen. nov., sp. nov., a New Alkaliphilic Nonsulfur Purple Bacterium]. | Bryantseva IA, Gaisin VA, Gorlenko VM | Mikrobiologiia | 2015 | ||
| Phylogeny | [Rhodobaca barguzinensis sp. nov., a new alkaliphilic purple nonsulfur bacterium isolated from a soda lake of the Barguzin Valley (Buryat Republic, eastern Siberia)]. | Boldareva EN, Akimov VN, Boichenko VA, Stadnichuk IN, Moskalenko AA, Makhneva ZK, Gorlenko VM | Mikrobiologiia | 2008 |
| #8389 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 19920 |
| #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 ) |
| #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 . |
| #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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