Pseudoalteromonas denitrificans DSM 6059 is a psychrophilic prokaryote that was isolated from seawater.
psychrophilic genome sequence 16S sequence| @ref 20215 |
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| Domain Pseudomonadati |
| Phylum Pseudomonadota |
| Class Gammaproteobacteria |
| Order Alteromonadales |
| Family Pseudoalteromonadaceae |
| Genus Pseudoalteromonas |
| Species Pseudoalteromonas denitrificans |
| Full scientific name Pseudoalteromonas denitrificans (Enger et al. 1987) Gauthier et al. 1995 |
| Synonyms (1) |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 2422 | BACTO MARINE BROTH (DIFCO 2216) (DSMZ Medium 514) | Medium recipe at MediaDive | Name: BACTO MARINE BROTH (DIFCO 2216) (DSMZ Medium 514) Composition: NaCl 19.45 g/l MgCl2 5.9 g/l Bacto peptone 5.0 g/l Na2SO4 3.24 g/l CaCl2 1.8 g/l Yeast extract 1.0 g/l KCl 0.55 g/l NaHCO3 0.16 g/l Fe(III) citrate 0.1 g/l KBr 0.08 g/l SrCl2 0.034 g/l H3BO3 0.022 g/l Na2HPO4 0.008 g/l Na-silicate 0.004 g/l NaF 0.0024 g/l (NH4)NO3 0.0016 g/l Distilled water | ||
| 42024 | MEDIUM 104 - for Pseudoalteromonas denitrificans | Distilled water make up to (200.000 ml);Agar (15.000 g);Yeast extract (0.500 g);Peptone (0.500 g);Tryptone (0.500 g);Synthetic sea solution - M0216 (800.000 ml) | |||
| 118903 | CIP Medium 99 | Medium recipe at CIP |
| @ref | Oxygen tolerance | Confidence | |
|---|---|---|---|
| 125439 | obligate aerobe | 98.4 |
| @ref | Spore formation | Confidence | |
|---|---|---|---|
| 125439 | 99.5 |
| @ref | pathway | enzyme coverage | annotated reactions | external links | |
|---|---|---|---|---|---|
| 66794 | biotin biosynthesis | 100 | 4 of 4 | ||
| 66794 | adipate degradation | 100 | 2 of 2 | ||
| 66794 | ppGpp biosynthesis | 100 | 4 of 4 | ||
| 66794 | gluconeogenesis | 100 | 8 of 8 | ||
| 66794 | Entner Doudoroff pathway | 100 | 10 of 10 | ||
| 66794 | palmitate biosynthesis | 100 | 22 of 22 | ||
| 66794 | enterobactin biosynthesis | 100 | 3 of 3 | ||
| 66794 | cis-vaccenate biosynthesis | 100 | 2 of 2 | ||
| 66794 | threonine metabolism | 100 | 10 of 10 | ||
| 66794 | glycogen metabolism | 100 | 5 of 5 | ||
| 66794 | formaldehyde oxidation | 100 | 3 of 3 | ||
| 66794 | ubiquinone biosynthesis | 100 | 7 of 7 | ||
| 66794 | coenzyme A metabolism | 100 | 4 of 4 | ||
| 66794 | valine metabolism | 100 | 9 of 9 | ||
| 66794 | anapleurotic synthesis of oxalacetate | 100 | 1 of 1 | ||
| 66794 | tetrahydrofolate metabolism | 100 | 14 of 14 | ||
| 66794 | folate polyglutamylation | 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 | denitrification | 100 | 2 of 2 | ||
| 66794 | methylglyoxal degradation | 100 | 5 of 5 | ||
| 66794 | ethanol fermentation | 100 | 2 of 2 | ||
| 66794 | phenylalanine metabolism | 92.31 | 12 of 13 | ||
| 66794 | leucine metabolism | 92.31 | 12 of 13 | ||
| 66794 | starch degradation | 90 | 9 of 10 | ||
| 66794 | glutamate and glutamine metabolism | 89.29 | 25 of 28 | ||
| 66794 | chorismate metabolism | 88.89 | 8 of 9 | ||
| 66794 | CO2 fixation in Crenarchaeota | 88.89 | 8 of 9 | ||
| 66794 | lipid A biosynthesis | 88.89 | 8 of 9 | ||
| 66794 | isoleucine metabolism | 87.5 | 7 of 8 | ||
| 66794 | C4 and CAM-carbon fixation | 87.5 | 7 of 8 | ||
| 66794 | heme metabolism | 85.71 | 12 of 14 | ||
| 66794 | photosynthesis | 85.71 | 12 of 14 | ||
| 66794 | NAD metabolism | 83.33 | 15 of 18 | ||
| 66794 | pentose phosphate pathway | 81.82 | 9 of 11 | ||
| 66794 | proline metabolism | 81.82 | 9 of 11 | ||
| 66794 | cellulose degradation | 80 | 4 of 5 | ||
| 66794 | propionate fermentation | 80 | 8 of 10 | ||
| 66794 | peptidoglycan biosynthesis | 80 | 12 of 15 | ||
| 66794 | gallate degradation | 80 | 4 of 5 | ||
| 66794 | purine metabolism | 78.72 | 74 of 94 | ||
| 66794 | tyrosine metabolism | 78.57 | 11 of 14 | ||
| 66794 | aspartate and asparagine metabolism | 77.78 | 7 of 9 | ||
| 66794 | serine metabolism | 77.78 | 7 of 9 | ||
| 66794 | molybdenum cofactor biosynthesis | 77.78 | 7 of 9 | ||
| 66794 | lipid metabolism | 77.42 | 24 of 31 | ||
| 66794 | methionine metabolism | 76.92 | 20 of 26 | ||
| 66794 | vitamin B1 metabolism | 76.92 | 10 of 13 | ||
| 66794 | glycogen biosynthesis | 75 | 3 of 4 | ||
| 66794 | butanoate fermentation | 75 | 3 of 4 | ||
| 66794 | acetate fermentation | 75 | 3 of 4 | ||
| 66794 | 6-hydroxymethyl-dihydropterin diphosphate biosynthesis | 75 | 6 of 8 | ||
| 66794 | CMP-KDO biosynthesis | 75 | 3 of 4 | ||
| 66794 | cyclohexanol degradation | 75 | 3 of 4 | ||
| 66794 | sulfopterin metabolism | 75 | 3 of 4 | ||
| 66794 | flavin biosynthesis | 73.33 | 11 of 15 | ||
| 66794 | alanine metabolism | 72.41 | 21 of 29 | ||
| 66794 | histidine metabolism | 72.41 | 21 of 29 | ||
| 66794 | glutathione metabolism | 71.43 | 10 of 14 | ||
| 66794 | propanol degradation | 71.43 | 5 of 7 | ||
| 66794 | reductive acetyl coenzyme A pathway | 71.43 | 5 of 7 | ||
| 66794 | cardiolipin biosynthesis | 71.43 | 5 of 7 | ||
| 66794 | citric acid cycle | 71.43 | 10 of 14 | ||
| 66794 | pyrimidine metabolism | 68.89 | 31 of 45 | ||
| 66794 | d-mannose degradation | 66.67 | 6 of 9 | ||
| 66794 | acetoin degradation | 66.67 | 2 of 3 | ||
| 66794 | L-lactaldehyde degradation | 66.67 | 2 of 3 | ||
| 66794 | methane metabolism | 66.67 | 2 of 3 | ||
| 66794 | cysteine metabolism | 66.67 | 12 of 18 | ||
| 66794 | cyanate degradation | 66.67 | 2 of 3 | ||
| 66794 | octane oxidation | 66.67 | 2 of 3 | ||
| 66794 | glycolate and glyoxylate degradation | 66.67 | 4 of 6 | ||
| 66794 | glycolysis | 64.71 | 11 of 17 | ||
| 66794 | vitamin B6 metabolism | 63.64 | 7 of 11 | ||
| 66794 | tryptophan metabolism | 63.16 | 24 of 38 | ||
| 66794 | arginine metabolism | 62.5 | 15 of 24 | ||
| 66794 | lipoate biosynthesis | 60 | 3 of 5 | ||
| 66794 | lysine metabolism | 59.52 | 25 of 42 | ||
| 66794 | non-pathway related | 57.89 | 22 of 38 | ||
| 66794 | allantoin degradation | 55.56 | 5 of 9 | ||
| 66794 | isoprenoid biosynthesis | 53.85 | 14 of 26 | ||
| 66794 | urea cycle | 53.85 | 7 of 13 | ||
| 66794 | degradation of sugar alcohols | 50 | 8 of 16 | ||
| 66794 | aminopropanol phosphate biosynthesis | 50 | 1 of 2 | ||
| 66794 | pantothenate biosynthesis | 50 | 3 of 6 | ||
| 66794 | resorcinol degradation | 50 | 1 of 2 | ||
| 66794 | degradation of aromatic, nitrogen containing compounds | 50 | 6 of 12 | ||
| 66794 | ketogluconate metabolism | 50 | 4 of 8 | ||
| 66794 | glycine metabolism | 50 | 5 of 10 | ||
| 66794 | polyamine pathway | 47.83 | 11 of 23 | ||
| 66794 | phenol degradation | 45 | 9 of 20 | ||
| 66794 | nitrate assimilation | 44.44 | 4 of 9 | ||
| 66794 | degradation of hexoses | 44.44 | 8 of 18 | ||
| 66794 | degradation of pentoses | 42.86 | 12 of 28 | ||
| 66794 | oxidative phosphorylation | 41.76 | 38 of 91 | ||
| 66794 | hydrogen production | 40 | 2 of 5 | ||
| 66794 | factor 420 biosynthesis | 40 | 2 of 5 | ||
| 66794 | bacilysin biosynthesis | 40 | 2 of 5 | ||
| 66794 | arachidonate biosynthesis | 40 | 2 of 5 | ||
| 66794 | vitamin K metabolism | 40 | 2 of 5 | ||
| 66794 | metabolism of amino sugars and derivatives | 40 | 2 of 5 | ||
| 66794 | glycine betaine biosynthesis | 40 | 2 of 5 | ||
| 66794 | arachidonic acid metabolism | 38.89 | 7 of 18 | ||
| 66794 | sulfate reduction | 38.46 | 5 of 13 | ||
| 66794 | phenylpropanoid biosynthesis | 38.46 | 5 of 13 | ||
| 66794 | androgen and estrogen metabolism | 37.5 | 6 of 16 | ||
| 66794 | selenocysteine biosynthesis | 33.33 | 2 of 6 | ||
| 66794 | acetyl CoA biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | IAA biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | 4-hydroxymandelate degradation | 33.33 | 3 of 9 | ||
| 66794 | 3-phenylpropionate degradation | 33.33 | 5 of 15 | ||
| 66794 | sulfoquinovose degradation | 33.33 | 1 of 3 | ||
| 66794 | (5R)-carbapenem carboxylate biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | ascorbate metabolism | 31.82 | 7 of 22 | ||
| 66794 | coenzyme M biosynthesis | 30 | 3 of 10 | ||
| 66794 | degradation of sugar acids | 28 | 7 of 25 | ||
| 66794 | metabolism of disaccharids | 27.27 | 3 of 11 | ||
| 66794 | d-xylose degradation | 27.27 | 3 of 11 | ||
| 66794 | cholesterol biosynthesis | 27.27 | 3 of 11 | ||
| 66794 | dolichyl-diphosphooligosaccharide biosynthesis | 27.27 | 3 of 11 | ||
| 66794 | alginate biosynthesis | 25 | 1 of 4 | ||
| 66794 | carnitine metabolism | 25 | 2 of 8 | ||
| 66794 | lactate fermentation | 25 | 1 of 4 | ||
| 66794 | dTDPLrhamnose biosynthesis | 25 | 2 of 8 | ||
| 66794 | toluene degradation | 25 | 1 of 4 | ||
| 66794 | phosphatidylethanolamine bioynthesis | 23.08 | 3 of 13 | ||
| 66794 | carotenoid biosynthesis | 22.73 | 5 of 22 | ||
| 66794 | vitamin B12 metabolism | 20.59 | 7 of 34 |
Global distribution of 16S sequence X82138 (>99% sequence identity) for Pseudoalteromonas sp. from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 67770 | IMG-taxon 2599185267 annotated assembly for Pseudoalteromonas denitrificans DSM 6059 | scaffold | 1123010 | 46.44 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 20218 | A.denitrificans 16S rRNA gene (ATCC 43337T) | X82138 | 1424 | 43656 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 98.40 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 99.80 | no |
| 125439 | motility | BacteriaNetⓘ | no | 54.50 | no |
| 125439 | spore_formation | BacteriaNetⓘ | no | 99.50 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 99.50 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 92.89 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 87.20 | no |
| 125438 | aerobic | aerobicⓘ | yes | 66.81 | no |
| 125438 | thermophilic | thermophileⓘ | no | 96.00 | no |
| 125438 | flagellated | motile2+ⓘ | yes | 87.57 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Genetics | Ecological Trait-Based Digital Categorization of Microbial Genomes for Denitrification Potential. | Isokpehi RD, Kim Y, Krejci SE, Trivedi VD. | Microorganisms | 10.3390/microorganisms12040791 | 2024 | |
| Biosynthesis and Bioactivity of Prodiginine Analogs in Marine Bacteria, Pseudoalteromonas: A Mini Review. | Sakai-Kawada FE, Ip CG, Hagiwara KA, Awaya JD. | Front Microbiol | 10.3389/fmicb.2019.01715 | 2019 | ||
| Enzymology | Inhibition of Foodborne Pathogenic Bacteria by Excreted Metabolites of Serratia marcescens Strains Isolated from a Dairy-Producing Environment. | Barati-Deak B, Da Costa Arruda GC, Perjessy J, Klupacs A, Zalan Z, Mohacsi-Farkas C, Belak A. | Microorganisms | 10.3390/microorganisms11020403 | 2023 | |
| Pathogenicity | Prodigiosin of Serratia marcescens ZPG19 Alters the Gut Microbiota Composition of Kunming Mice. | Li X, Tan X, Chen Q, Zhu X, Zhang J, Zhang J, Jia B. | Molecules | 10.3390/molecules26082156 | 2021 | |
| Cytotoxic Effect of Prodigiosin, Natural Red Pigment, Isolated from Serratia marcescens UFPEDA 398. | Lapenda JCL, Alves VP, Adam ML, Rodrigues MD, Nascimento SC. | Indian J Microbiol | 10.1007/s12088-020-00859-6 | 2020 | ||
| Pathogenicity | Cycloprodigiosin hydrochloride obtained from Pseudoalteromonas denitrificans is a potent antimalarial agent. | Kim HS, Hayashi M, Shibata Y, Wataya Y, Mitamura T, Horii T, Kawauchi K, Hirata H, Tsuboi S, Moriyama Y. | Biol Pharm Bull | 10.1248/bpb.22.532 | 1999 | |
| Diversity and distribution of the bmp gene cluster and its Polybrominated products in the genus Pseudoalteromonas. | Busch J, Agarwal V, Schorn M, Machado H, Moore BS, Rouse GW, Gram L, Jensen PR. | Environ Microbiol | 10.1111/1462-2920.14532 | 2019 | ||
| Pathogenicity | A possible immunosuppressant, cycloprodigiosin hydrochloride, obtained from Pseudoalteromonas denitrificans. | Kawauchi K, Shibutani K, Yagisawa H, Kamata H, Nakatsuji S, Anzai H, Yokoyama Y, Ikegami Y, Moriyama Y, Hirata H. | Biochem Biophys Res Commun | 10.1006/bbrc.1997.7186 | 1997 | |
| Metabolism | Cycloprodigiosin hydrocloride suppresses tumor necrosis factor (TNF) alpha-induced transcriptional activation by NF-kappaB. | Kamata K, Okamoto S, Oka S, Kamata H, Yagisawa H, Hirata H. | FEBS Lett | 10.1016/s0014-5793(01)02946-5 | 2001 | |
| Phylogeny | Phylogenetic analysis of the genera Alteromonas, Shewanella, and Moritella using genes coding for small-subunit rRNA sequences and division of the genus Alteromonas into two genera, Alteromonas (emended) and Pseudoalteromonas gen. nov., and proposal of twelve new species combinations. | Gauthier G, Gauthier M, Christen R. | Int J Syst Bacteriol | 10.1099/00207713-45-4-755 | 1995 | |
| Biofilm Formation and Heat Stress Induce Pyomelanin Production in Deep-Sea Pseudoalteromonas sp. SM9913. | Zeng Z, Cai X, Wang P, Guo Y, Liu X, Li B, Wang X. | Front Microbiol | 10.3389/fmicb.2017.01822 | 2017 | ||
| Metabolism | The anticancer agent prodigiosin is not a multidrug resistance protein substrate. | Elahian F, Elahian F, Moghimi B, Dinmohammadi F, Ghamghami M, Hamidi M, Mirzaei SA. | DNA Cell Biol | 10.1089/dna.2012.1902 | 2013 | |
| Metabolism | Exceptional production of both prodigiosin and cycloprodigiosin as major metabolic constituents by a novel marine bacterium, Zooshikella rubidus S1-1. | Lee JS, Kim YS, Park S, Kim J, Kang SJ, Lee MH, Ryu S, Choi JM, Oh TK, Yoon JH. | Appl Environ Microbiol | 10.1128/aem.01986-10 | 2011 | |
| Microbial Communities on Seafloor Basalts at Dorado Outcrop Reflect Level of Alteration and Highlight Global Lithic Clades. | Lee MD, Walworth NG, Sylvan JB, Edwards KJ, Orcutt BN. | Front Microbiol | 10.3389/fmicb.2015.01470 | 2015 | ||
| Prodigiosin from the supernatant of Serratia marcescens induces apoptosis in haematopoietic cancer cell lines. | Montaner B, Navarro S, Pique M, Vilaseca M, Martinell M, Giralt E, Gil J, Perez-Tomas R. | Br J Pharmacol | 10.1038/sj.bjp.0703614 | 2000 | ||
| Phylogeny | Algicidal effects of a novel marine pseudoalteromonas isolate (class Proteobacteria, gamma subdivision) on harmful algal bloom species of the genera Chattonella, Gymnodinium, and Heterosigma. | Lovejoy C, Bowman JP, Hallegraeff GM. | Appl Environ Microbiol | 10.1128/aem.64.8.2806-2813.1998 | 1998 | |
| Enzymology | Genetic diversity of the biofilm covering Montacuta ferruginosa (Mollusca, bivalvia) as evaluated by denaturing gradient gel electrophoresis analysis and cloning of PCR-amplified gene fragments coding for 16S rRNA. | Gillan DC, Speksnijder AG, Zwart G, De Ridder C. | Appl Environ Microbiol | 10.1128/aem.64.9.3464-3472.1998 | 1998 | |
| Phylogeny | Pseudoalteromonas xiamenensis sp. nov., a marine bacterium isolated from coastal surface seawater. | Zhao CH, Luo JJ, Gong T, Huang XL, Ye DZ, Luo ZH | Int J Syst Evol Microbiol | 10.1099/ijs.0.050229-0 | 2013 |
| #2422 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 6059 |
| #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 ) |
| #20218 | Verslyppe, B., De Smet, W., De Baets, B., De Vos, P., Dawyndt P.: StrainInfo introduces electronic passports for microorganisms.. Syst Appl Microbiol. 37: 42 - 50 2014 ( DOI 10.1016/j.syapm.2013.11.002 , PubMed 24321274 ) |
| #42024 | ; Curators of the CIP; |
| #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 . |
| #118903 | Collection of Institut Pasteur ; Curators of the CIP; CIP 104108 |
| #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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