Paracoccus saliphilus DSM 18447 is an aerobe, mesophilic, Gram-negative prokaryote that was isolated from saline-alkali soil.
Gram-negative coccus-shaped aerobe mesophilic genome sequence 16S sequence| @ref 20215 |
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| Domain Pseudomonadati |
| Phylum Pseudomonadota |
| Class Alphaproteobacteria |
| Order Rhodobacterales |
| Family Paracoccaceae |
| Genus Paracoccus |
| Species Paracoccus saliphilus |
| Full scientific name Paracoccus saliphilus Wang et al. 2009 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 7476 | ISP MEDIUM 2 WITH 5% NaCl (DSMZ Medium 636) | Medium recipe at MediaDive | Name: ISP MEDIUM 2 WITH 5% NaCl (DSMZ Medium 636) Composition: NaCl 50.0 g/l Agar 20.0 g/l Malt extract 10.0 g/l Dextrose 4.0 g/l Yeast extract 4.0 g/l Distilled water |
| 29088 | Oxygen toleranceaerobe |
| @ref | Chebi-ID | Metabolite | Utilization activity | Kind of utilization tested | |
|---|---|---|---|---|---|
| 29088 | 18240 ChEBI | 4-hydroxy-L-proline | + | carbon source | |
| 29088 | 30089 ChEBI | acetate | + | carbon source | |
| 29088 | 16449 ChEBI | alanine | + | carbon source | |
| 29088 | 40585 ChEBI | alpha-cyclodextrin | + | carbon source | |
| 29088 | 22599 ChEBI | arabinose | + | carbon source | |
| 29088 | 22653 ChEBI | asparagine | + | carbon source | |
| 29088 | 35391 ChEBI | aspartate | + | carbon source | |
| 29088 | 16947 ChEBI | citrate | + | carbon source | |
| 29088 | 17126 ChEBI | DL-carnitine | + | carbon source | |
| 29088 | 4853 ChEBI | esculin | + | hydrolysis | |
| 29088 | 15740 ChEBI | formate | + | carbon source | |
| 29088 | 28757 ChEBI | fructose | + | carbon source | |
| 29088 | 33984 ChEBI | fucose | + | carbon source | |
| 29088 | 28260 ChEBI | galactose | + | carbon source | |
| 29088 | 24175 ChEBI | galacturonate | + | carbon source | |
| 29088 | 24265 ChEBI | gluconate | + | carbon source | |
| 29088 | 17234 ChEBI | glucose | + | carbon source | |
| 29088 | 29987 ChEBI | glutamate | + | carbon source | |
| 29088 | 17754 ChEBI | glycerol | + | carbon source | |
| 29088 | 28087 ChEBI | glycogen | + | carbon source | |
| 29088 | 27570 ChEBI | histidine | + | carbon source | |
| 29088 | 17596 ChEBI | inosine | + | carbon source | |
| 29088 | 21217 ChEBI | L-alaninamide | + | carbon source | |
| 29088 | 18403 ChEBI | L-arabitol | + | carbon source | |
| 29088 | 24996 ChEBI | lactate | + | carbon source | |
| 29088 | 17716 ChEBI | lactose | + | carbon source | |
| 29088 | 25017 ChEBI | leucine | + | carbon source | |
| 29088 | 37684 ChEBI | mannose | + | carbon source | |
| 29088 | 28053 ChEBI | melibiose | + | carbon source | |
| 29088 | 51850 ChEBI | methyl pyruvate | + | carbon source | |
| 29088 | 18257 ChEBI | ornithine | + | carbon source | |
| 29088 | 50048 ChEBI | phenylethylamine | + | carbon source | |
| 29088 | 26271 ChEBI | proline | + | carbon source | |
| 29088 | 17148 ChEBI | putrescine | + | carbon source | |
| 29088 | 26490 ChEBI | quinate | + | carbon source | |
| 29088 | 15963 ChEBI | ribitol | + | carbon source | |
| 29088 | 17822 ChEBI | serine | + | carbon source | |
| 29088 | 30911 ChEBI | sorbitol | + | carbon source | |
| 29088 | 30031 ChEBI | succinate | + | carbon source | |
| 29088 | 17992 ChEBI | sucrose | + | carbon source | |
| 29088 | 26986 ChEBI | threonine | + | carbon source | |
| 29088 | 17748 ChEBI | thymidine | + | carbon source | |
| 29088 | 16704 ChEBI | uridine | + | carbon source | |
| 29088 | 27248 ChEBI | urocanic acid | + | carbon source | |
| 29088 | 17151 ChEBI | xylitol | + | carbon source |
| @ref | pathway | enzyme coverage | annotated reactions | external links | |
|---|---|---|---|---|---|
| 66794 | anapleurotic synthesis of oxalacetate | 100 | 1 of 1 | ||
| 66794 | ppGpp biosynthesis | 100 | 4 of 4 | ||
| 66794 | methylglyoxal degradation | 100 | 5 of 5 | ||
| 66794 | suberin monomers biosynthesis | 100 | 2 of 2 | ||
| 66794 | resorcinol degradation | 100 | 2 of 2 | ||
| 66794 | valine metabolism | 100 | 9 of 9 | ||
| 66794 | aminopropanol phosphate biosynthesis | 100 | 2 of 2 | ||
| 66794 | glycine betaine biosynthesis | 100 | 5 of 5 | ||
| 66794 | formaldehyde oxidation | 100 | 3 of 3 | ||
| 66794 | coenzyme A metabolism | 100 | 4 of 4 | ||
| 66794 | adipate degradation | 100 | 2 of 2 | ||
| 66794 | UDP-GlcNAc biosynthesis | 100 | 3 of 3 | ||
| 66794 | L-lactaldehyde degradation | 100 | 3 of 3 | ||
| 66794 | CDP-diacylglycerol biosynthesis | 100 | 2 of 2 | ||
| 66794 | C4 and CAM-carbon fixation | 100 | 8 of 8 | ||
| 66794 | gluconeogenesis | 100 | 8 of 8 | ||
| 66794 | photosynthesis | 100 | 14 of 14 | ||
| 66794 | folate polyglutamylation | 100 | 1 of 1 | ||
| 66794 | glycogen biosynthesis | 100 | 4 of 4 | ||
| 66794 | ethanol fermentation | 100 | 2 of 2 | ||
| 66794 | Entner Doudoroff pathway | 100 | 10 of 10 | ||
| 66794 | 4-hydroxymandelate degradation | 100 | 9 of 9 | ||
| 66794 | cis-vaccenate biosynthesis | 100 | 2 of 2 | ||
| 66794 | octane oxidation | 100 | 3 of 3 | ||
| 66794 | palmitate biosynthesis | 100 | 22 of 22 | ||
| 66794 | tetrahydrofolate metabolism | 92.86 | 13 of 14 | ||
| 66794 | phenylalanine metabolism | 92.31 | 12 of 13 | ||
| 66794 | leucine metabolism | 92.31 | 12 of 13 | ||
| 66794 | degradation of aromatic, nitrogen containing compounds | 91.67 | 11 of 12 | ||
| 66794 | pentose phosphate pathway | 90.91 | 10 of 11 | ||
| 66794 | threonine metabolism | 90 | 9 of 10 | ||
| 66794 | lipid A biosynthesis | 88.89 | 8 of 9 | ||
| 66794 | chorismate metabolism | 88.89 | 8 of 9 | ||
| 66794 | serine metabolism | 88.89 | 8 of 9 | ||
| 66794 | allantoin degradation | 88.89 | 8 of 9 | ||
| 66794 | molybdenum cofactor biosynthesis | 88.89 | 8 of 9 | ||
| 66794 | NAD metabolism | 88.89 | 16 of 18 | ||
| 66794 | ketogluconate metabolism | 87.5 | 7 of 8 | ||
| 66794 | citric acid cycle | 85.71 | 12 of 14 | ||
| 66794 | reductive acetyl coenzyme A pathway | 85.71 | 6 of 7 | ||
| 66794 | propanol degradation | 85.71 | 6 of 7 | ||
| 66794 | degradation of sugar acids | 84 | 21 of 25 | ||
| 66794 | proline metabolism | 81.82 | 9 of 11 | ||
| 66794 | myo-inositol biosynthesis | 80 | 8 of 10 | ||
| 66794 | propionate fermentation | 80 | 8 of 10 | ||
| 66794 | glycogen metabolism | 80 | 4 of 5 | ||
| 66794 | ethylmalonyl-CoA pathway | 80 | 4 of 5 | ||
| 66794 | phenylacetate degradation (aerobic) | 80 | 4 of 5 | ||
| 66794 | peptidoglycan biosynthesis | 80 | 12 of 15 | ||
| 66794 | vitamin B12 metabolism | 79.41 | 27 of 34 | ||
| 66794 | purine metabolism | 78.72 | 74 of 94 | ||
| 66794 | glutamate and glutamine metabolism | 78.57 | 22 of 28 | ||
| 66794 | aspartate and asparagine metabolism | 77.78 | 7 of 9 | ||
| 66794 | CO2 fixation in Crenarchaeota | 77.78 | 7 of 9 | ||
| 66794 | vitamin B1 metabolism | 76.92 | 10 of 13 | ||
| 66794 | pyrimidine metabolism | 75.56 | 34 of 45 | ||
| 66794 | biotin biosynthesis | 75 | 3 of 4 | ||
| 66794 | butanoate fermentation | 75 | 3 of 4 | ||
| 66794 | 6-hydroxymethyl-dihydropterin diphosphate biosynthesis | 75 | 6 of 8 | ||
| 66794 | CMP-KDO biosynthesis | 75 | 3 of 4 | ||
| 66794 | sulfopterin metabolism | 75 | 3 of 4 | ||
| 66794 | isoleucine metabolism | 75 | 6 of 8 | ||
| 66794 | acetate fermentation | 75 | 3 of 4 | ||
| 66794 | tryptophan metabolism | 73.68 | 28 of 38 | ||
| 66794 | flavin biosynthesis | 73.33 | 11 of 15 | ||
| 66794 | vitamin B6 metabolism | 72.73 | 8 of 11 | ||
| 66794 | histidine metabolism | 72.41 | 21 of 29 | ||
| 66794 | alanine metabolism | 72.41 | 21 of 29 | ||
| 66794 | tyrosine metabolism | 71.43 | 10 of 14 | ||
| 66794 | degradation of pentoses | 71.43 | 20 of 28 | ||
| 66794 | glutathione metabolism | 71.43 | 10 of 14 | ||
| 66794 | cardiolipin biosynthesis | 71.43 | 5 of 7 | ||
| 66794 | ubiquinone biosynthesis | 71.43 | 5 of 7 | ||
| 66794 | non-pathway related | 71.05 | 27 of 38 | ||
| 66794 | arginine metabolism | 70.83 | 17 of 24 | ||
| 66794 | oxidative phosphorylation | 69.23 | 63 of 91 | ||
| 66794 | selenocysteine biosynthesis | 66.67 | 4 of 6 | ||
| 66794 | acetyl CoA biosynthesis | 66.67 | 2 of 3 | ||
| 66794 | glycolate and glyoxylate degradation | 66.67 | 4 of 6 | ||
| 66794 | cyanate degradation | 66.67 | 2 of 3 | ||
| 66794 | methane metabolism | 66.67 | 2 of 3 | ||
| 66794 | IAA biosynthesis | 66.67 | 2 of 3 | ||
| 66794 | acetoin degradation | 66.67 | 2 of 3 | ||
| 66794 | methionine metabolism | 65.38 | 17 of 26 | ||
| 66794 | glycolysis | 64.71 | 11 of 17 | ||
| 66794 | lipid metabolism | 64.52 | 20 of 31 | ||
| 66794 | heme metabolism | 64.29 | 9 of 14 | ||
| 66794 | dTDPLrhamnose biosynthesis | 62.5 | 5 of 8 | ||
| 66794 | degradation of sugar alcohols | 62.5 | 10 of 16 | ||
| 66794 | urea cycle | 61.54 | 8 of 13 | ||
| 66794 | sulfate reduction | 61.54 | 8 of 13 | ||
| 66794 | 3-chlorocatechol degradation | 60 | 3 of 5 | ||
| 66794 | isoprenoid biosynthesis | 57.69 | 15 of 26 | ||
| 66794 | d-mannose degradation | 55.56 | 5 of 9 | ||
| 66794 | phosphatidylethanolamine bioynthesis | 53.85 | 7 of 13 | ||
| 66794 | 3-phenylpropionate degradation | 53.33 | 8 of 15 | ||
| 66794 | lysine metabolism | 52.38 | 22 of 42 | ||
| 66794 | polyamine pathway | 52.17 | 12 of 23 | ||
| 66794 | kanosamine biosynthesis II | 50 | 1 of 2 | ||
| 66794 | lactate fermentation | 50 | 2 of 4 | ||
| 66794 | degradation of hexoses | 50 | 9 of 18 | ||
| 66794 | cyclohexanol degradation | 50 | 2 of 4 | ||
| 66794 | toluene degradation | 50 | 2 of 4 | ||
| 66794 | pantothenate biosynthesis | 50 | 3 of 6 | ||
| 66794 | glycine metabolism | 50 | 5 of 10 | ||
| 66794 | phenylmercury acetate degradation | 50 | 1 of 2 | ||
| 66794 | phenol degradation | 50 | 10 of 20 | ||
| 66794 | quinate degradation | 50 | 1 of 2 | ||
| 66794 | ribulose monophosphate pathway | 50 | 1 of 2 | ||
| 66794 | cysteine metabolism | 50 | 9 of 18 | ||
| 66794 | ascorbate metabolism | 50 | 11 of 22 | ||
| 66794 | metabolism of disaccharids | 45.45 | 5 of 11 | ||
| 66794 | nitrate assimilation | 44.44 | 4 of 9 | ||
| 66794 | androgen and estrogen metabolism | 43.75 | 7 of 16 | ||
| 66794 | benzoyl-CoA degradation | 42.86 | 3 of 7 | ||
| 66794 | starch degradation | 40 | 4 of 10 | ||
| 66794 | vitamin K metabolism | 40 | 2 of 5 | ||
| 66794 | metabolism of amino sugars and derivatives | 40 | 2 of 5 | ||
| 66794 | factor 420 biosynthesis | 40 | 2 of 5 | ||
| 66794 | lipoate biosynthesis | 40 | 2 of 5 | ||
| 66794 | creatinine degradation | 40 | 2 of 5 | ||
| 66794 | arachidonate biosynthesis | 40 | 2 of 5 | ||
| 66794 | coenzyme M biosynthesis | 40 | 4 of 10 | ||
| 66794 | hydrogen production | 40 | 2 of 5 | ||
| 66794 | cellulose degradation | 40 | 2 of 5 | ||
| 66794 | gallate degradation | 40 | 2 of 5 | ||
| 66794 | arachidonic acid metabolism | 38.89 | 7 of 18 | ||
| 66794 | carnitine metabolism | 37.5 | 3 of 8 | ||
| 66794 | d-xylose degradation | 36.36 | 4 of 11 | ||
| 66794 | sulfoquinovose degradation | 33.33 | 1 of 3 | ||
| 66794 | methanogenesis from CO2 | 33.33 | 4 of 12 | ||
| 66794 | sphingosine metabolism | 33.33 | 2 of 6 | ||
| 66794 | (5R)-carbapenem carboxylate biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | bile acid biosynthesis, neutral pathway | 29.41 | 5 of 17 | ||
| 66794 | aclacinomycin biosynthesis | 28.57 | 2 of 7 | ||
| 66794 | dolichyl-diphosphooligosaccharide biosynthesis | 27.27 | 3 of 11 | ||
| 66794 | alginate biosynthesis | 25 | 1 of 4 | ||
| 66794 | catecholamine biosynthesis | 25 | 1 of 4 | ||
| 66794 | phenylpropanoid biosynthesis | 23.08 | 3 of 13 | ||
| 66794 | carotenoid biosynthesis | 22.73 | 5 of 22 |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Environmental | #Terrestrial | #Soil | |
| #Condition | #Alkaline | - | |
| #Condition | #Saline | - |
| @ref | Sample type | Geographic location | Country | Country ISO 3 Code | Continent | |
|---|---|---|---|---|---|---|
| 7476 | saline-alkali soil | Xinjiang province, edge of Ebinur Lake wetland natural reserve | China | CHN | Asia |
Global distribution of 16S sequence DQ923133 (>99% sequence identity) for Paracoccus from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM2855380v1 assembly for Paracoccus saliphilus DSM 18447 | complete | 405559 | 96.65 | ||||
| 124043 | IMG-taxon 2681813562 annotated assembly for Paracoccus saliphilus DSM 18447 | scaffold | 405559 | 66.42 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 7476 | Paracoccus saliphilus strain YIM 90738 16S ribosomal RNA gene, partial sequence | DQ923133 | 1389 | 405559 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 96.70 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 61.40 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 96.50 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | facultative aerobe | 76.40 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 97.00 | yes |
| 125438 | anaerobic | anaerobicⓘ | no | 95.81 | yes |
| 125438 | aerobic | aerobicⓘ | yes | 81.37 | yes |
| 125438 | spore-forming | spore-formingⓘ | no | 90.97 | yes |
| 125438 | thermophilic | thermophileⓘ | no | 99.28 | no |
| 125438 | flagellated | motile2+ⓘ | no | 56.74 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Phylogeny | Salinity-influenced changes in the community and functional composition of zooplankton-associated bacteria in the lakes of Inner Mongolia. | Li Y, Wang Q, Chen D, Liu X, Chen F. | Front Microbiol | 10.3389/fmicb.2025.1529512 | 2025 | |
| Genetics | Analysis of 1,000+ Type-Strain Genomes Substantially Improves Taxonomic Classification of Alphaproteobacteria. | Hordt A, Lopez MG, Meier-Kolthoff JP, Schleuning M, Weinhold LM, Tindall BJ, Gronow S, Kyrpides NC, Woyke T, Goker M. | Front Microbiol | 10.3389/fmicb.2020.00468 | 2020 | |
| Phylogeny | Paracoccus onubensis sp. nov., a novel alphaproteobacterium isolated from the wall of a show cave. | Gutierrez-Patricio S, Gonzalez-Pimentel JL, Miller AZ, Hermosin B, Saiz-Jimenez C, Jurado V | Int J Syst Evol Microbiol | 10.1099/ijsem.0.004942 | 2021 | |
| Phylogeny | Paracoccus alkanivorans sp. nov., isolated from a deep well with oil reservoir water. | Zhang YX, Li X, Li FL, Ma SC, Zheng GD, Chen WF, Li WJ, Wang L | Int J Syst Evol Microbiol | 10.1099/ijsem.0.004036 | 2020 | |
| Phylogeny | Paracoccus saliphilus sp. nov., a halophilic bacterium isolated from a saline soil. | Wang Y, Tang SK, Lou K, Mao PH, Jin X, Jiang CL, Xu LH, Li WJ | Int J Syst Evol Microbiol | 10.1099/ijs.0.005918-0 | 2009 |
| #7476 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 18447 |
| #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 ) |
| #29088 | Barberan A, Caceres Velazquez H, Jones S, Fierer N.: Hiding in Plain Sight: Mining Bacterial Species Records for Phenotypic Trait Information. mSphere 2: 2017 ( DOI 10.1128/mSphere.00237-17 , PubMed 28776041 ) - originally annotated from #25517 (see below) |
| #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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If you want to cite this particular strain cite the following doi:
https://doi.org/10.13145/bacdive13728.20251217.10
When using BacDive for research please cite the following paper
BacDive in 2025: the core database for prokaryotic strain data