Kosmotoga pacifica SLHLJ1 is an anaerobe, thermophilic prokaryote that was isolated from hydrothermal sediment mixed with fragments of inactive sulphide chimneys, depth of 2891 m.
anaerobe thermophilic genome sequence 16S sequence| @ref 20215 |
|
|
| Domain Bacteria |
| Phylum Thermotogota |
| Class Thermotogae |
| Order Kosmotogales |
| Family Kosmotogaceae |
| Genus Kosmotoga |
| Species Kosmotoga pacifica |
| Full scientific name Kosmotoga pacifica L'Haridon et al. 2016 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 22578 | METHANOCALDOCOCCUS MEDIUM (DSMZ Medium 282) | Medium recipe at MediaDive | Name: METHANOCALDOCOCCUS MEDIUM (DSMZ Medium 282; with strain-specific modifications) Composition: MgCl2 x 6 H2O 4.05138 g/l Yeast extract 2.96443 g/l Maltose 2.47036 g/l NaHCO3 0.988142 g/l Na2S x 9 H2O 0.494071 g/l L-Cysteine HCl x H2O 0.494071 g/l KCl 0.326087 g/l NH4Cl 0.247036 g/l K2HPO4 0.13834 g/l MgSO4 x 7 H2O 0.0296443 g/l Nitrilotriacetic acid 0.0148221 g/l Fe(NH4)2(SO4)2 x 6 H2O 0.00988142 g/l NaCl 0.00988142 g/l MnSO4 x H2O 0.00494071 g/l ZnSO4 x 7 H2O 0.00177866 g/l CoSO4 x 7 H2O 0.00177866 g/l FeSO4 x 7 H2O 0.000988142 g/l CaCl2 x 2 H2O 0.000988142 g/l Sodium resazurin 0.000494071 g/l NiCl2 x 6 H2O 0.000296443 g/l AlK(SO4)2 x 12 H2O 0.000197628 g/l CuSO4 x 5 H2O 9.88142e-05 g/l H3BO3 9.88142e-05 g/l Na2MoO4 x 2 H2O 9.88142e-05 g/l Pyridoxine hydrochloride 9.88142e-05 g/l (DL)-alpha-Lipoic acid 4.94071e-05 g/l p-Aminobenzoic acid 4.94071e-05 g/l Riboflavin 4.94071e-05 g/l Thiamine HCl 4.94071e-05 g/l Nicotinic acid 4.94071e-05 g/l Calcium D-(+)-pantothenate 4.94071e-05 g/l Biotin 1.97628e-05 g/l Folic acid 1.97628e-05 g/l Na2WO4 x 2 H2O 3.95257e-06 g/l Na2SeO3 x 5 H2O 2.96443e-06 g/l Vitamin B12 9.88142e-07 g/l Distilled water |
| @ref | pathway | enzyme coverage | annotated reactions | external links | |
|---|---|---|---|---|---|
| 66794 | cellulose degradation | 100 | 5 of 5 | ||
| 66794 | C4 and CAM-carbon fixation | 100 | 8 of 8 | ||
| 66794 | glycogen metabolism | 100 | 5 of 5 | ||
| 66794 | coenzyme A metabolism | 100 | 4 of 4 | ||
| 66794 | sulfopterin metabolism | 100 | 4 of 4 | ||
| 66794 | CDP-diacylglycerol biosynthesis | 100 | 2 of 2 | ||
| 66794 | folate polyglutamylation | 100 | 1 of 1 | ||
| 66794 | UDP-GlcNAc biosynthesis | 100 | 3 of 3 | ||
| 66794 | suberin monomers biosynthesis | 100 | 2 of 2 | ||
| 66794 | anapleurotic synthesis of oxalacetate | 100 | 1 of 1 | ||
| 66794 | palmitate biosynthesis | 95.45 | 21 of 22 | ||
| 66794 | d-mannose degradation | 88.89 | 8 of 9 | ||
| 66794 | gluconeogenesis | 87.5 | 7 of 8 | ||
| 66794 | peptidoglycan biosynthesis | 86.67 | 13 of 15 | ||
| 66794 | starch degradation | 80 | 8 of 10 | ||
| 66794 | methylglyoxal degradation | 80 | 4 of 5 | ||
| 66794 | glycine betaine biosynthesis | 80 | 4 of 5 | ||
| 66794 | photosynthesis | 78.57 | 11 of 14 | ||
| 66794 | glycolysis | 76.47 | 13 of 17 | ||
| 66794 | butanoate fermentation | 75 | 3 of 4 | ||
| 66794 | acetate fermentation | 75 | 3 of 4 | ||
| 66794 | glycogen biosynthesis | 75 | 3 of 4 | ||
| 66794 | ppGpp biosynthesis | 75 | 3 of 4 | ||
| 66794 | pyrimidine metabolism | 73.33 | 33 of 45 | ||
| 66794 | propanol degradation | 71.43 | 5 of 7 | ||
| 66794 | degradation of sugar alcohols | 68.75 | 11 of 16 | ||
| 66794 | purine metabolism | 68.09 | 64 of 94 | ||
| 66794 | glutamate and glutamine metabolism | 67.86 | 19 of 28 | ||
| 66794 | serine metabolism | 66.67 | 6 of 9 | ||
| 66794 | molybdenum cofactor biosynthesis | 66.67 | 6 of 9 | ||
| 66794 | enterobactin biosynthesis | 66.67 | 2 of 3 | ||
| 66794 | octane oxidation | 66.67 | 2 of 3 | ||
| 66794 | NAD metabolism | 66.67 | 12 of 18 | ||
| 66794 | glycolate and glyoxylate degradation | 66.67 | 4 of 6 | ||
| 66794 | acetoin degradation | 66.67 | 2 of 3 | ||
| 66794 | formaldehyde oxidation | 66.67 | 2 of 3 | ||
| 66794 | aspartate and asparagine metabolism | 66.67 | 6 of 9 | ||
| 66794 | alanine metabolism | 65.52 | 19 of 29 | ||
| 66794 | 6-hydroxymethyl-dihydropterin diphosphate biosynthesis | 62.5 | 5 of 8 | ||
| 66794 | dTDPLrhamnose biosynthesis | 62.5 | 5 of 8 | ||
| 66794 | isoleucine metabolism | 62.5 | 5 of 8 | ||
| 66794 | phenylalanine metabolism | 61.54 | 8 of 13 | ||
| 66794 | degradation of hexoses | 61.11 | 11 of 18 | ||
| 66794 | hydrogen production | 60 | 3 of 5 | ||
| 66794 | metabolism of amino sugars and derivatives | 60 | 3 of 5 | ||
| 66794 | myo-inositol biosynthesis | 60 | 6 of 10 | ||
| 66794 | propionate fermentation | 60 | 6 of 10 | ||
| 66794 | oxidative phosphorylation | 59.34 | 54 of 91 | ||
| 66794 | degradation of aromatic, nitrogen containing compounds | 58.33 | 7 of 12 | ||
| 66794 | reductive acetyl coenzyme A pathway | 57.14 | 4 of 7 | ||
| 66794 | CO2 fixation in Crenarchaeota | 55.56 | 5 of 9 | ||
| 66794 | pentose phosphate pathway | 54.55 | 6 of 11 | ||
| 66794 | isoprenoid biosynthesis | 53.85 | 14 of 26 | ||
| 66794 | urea cycle | 53.85 | 7 of 13 | ||
| 66794 | non-pathway related | 52.63 | 20 of 38 | ||
| 66794 | ethanol fermentation | 50 | 1 of 2 | ||
| 66794 | adipate degradation | 50 | 1 of 2 | ||
| 66794 | degradation of pentoses | 50 | 14 of 28 | ||
| 66794 | threonine metabolism | 50 | 5 of 10 | ||
| 66794 | coenzyme M biosynthesis | 50 | 5 of 10 | ||
| 66794 | Entner Doudoroff pathway | 50 | 5 of 10 | ||
| 66794 | lactate fermentation | 50 | 2 of 4 | ||
| 66794 | kanosamine biosynthesis II | 50 | 1 of 2 | ||
| 66794 | glycine metabolism | 50 | 5 of 10 | ||
| 66794 | cis-vaccenate biosynthesis | 50 | 1 of 2 | ||
| 66794 | biotin biosynthesis | 50 | 2 of 4 | ||
| 66794 | tetrahydrofolate metabolism | 50 | 7 of 14 | ||
| 66794 | ketogluconate metabolism | 50 | 4 of 8 | ||
| 66794 | lysine metabolism | 47.62 | 20 of 42 | ||
| 66794 | flavin biosynthesis | 46.67 | 7 of 15 | ||
| 66794 | methionine metabolism | 46.15 | 12 of 26 | ||
| 66794 | metabolism of disaccharids | 45.45 | 5 of 11 | ||
| 66794 | d-xylose degradation | 45.45 | 5 of 11 | ||
| 66794 | proline metabolism | 45.45 | 5 of 11 | ||
| 66794 | cysteine metabolism | 44.44 | 8 of 18 | ||
| 66794 | lipid A biosynthesis | 44.44 | 4 of 9 | ||
| 66794 | ubiquinone biosynthesis | 42.86 | 3 of 7 | ||
| 66794 | cardiolipin biosynthesis | 42.86 | 3 of 7 | ||
| 66794 | citric acid cycle | 42.86 | 6 of 14 | ||
| 66794 | tryptophan metabolism | 42.11 | 16 of 38 | ||
| 66794 | phenylacetate degradation (aerobic) | 40 | 2 of 5 | ||
| 66794 | factor 420 biosynthesis | 40 | 2 of 5 | ||
| 66794 | lipid metabolism | 38.71 | 12 of 31 | ||
| 66794 | leucine metabolism | 38.46 | 5 of 13 | ||
| 66794 | vitamin B1 metabolism | 38.46 | 5 of 13 | ||
| 66794 | histidine metabolism | 37.93 | 11 of 29 | ||
| 66794 | vitamin B6 metabolism | 36.36 | 4 of 11 | ||
| 66794 | valine metabolism | 33.33 | 3 of 9 | ||
| 66794 | nitrate assimilation | 33.33 | 3 of 9 | ||
| 66794 | acetyl CoA biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | selenocysteine biosynthesis | 33.33 | 2 of 6 | ||
| 66794 | pantothenate biosynthesis | 33.33 | 2 of 6 | ||
| 66794 | IAA biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | sphingosine metabolism | 33.33 | 2 of 6 | ||
| 66794 | arachidonic acid metabolism | 33.33 | 6 of 18 | ||
| 66794 | cyanate degradation | 33.33 | 1 of 3 | ||
| 66794 | L-lactaldehyde degradation | 33.33 | 1 of 3 | ||
| 66794 | ascorbate metabolism | 31.82 | 7 of 22 | ||
| 66794 | arginine metabolism | 29.17 | 7 of 24 | ||
| 66794 | glutathione metabolism | 28.57 | 4 of 14 | ||
| 66794 | tyrosine metabolism | 28.57 | 4 of 14 | ||
| 66794 | cyclohexanol degradation | 25 | 1 of 4 | ||
| 66794 | toluene degradation | 25 | 1 of 4 | ||
| 66794 | carnitine metabolism | 25 | 2 of 8 | ||
| 66794 | CMP-KDO biosynthesis | 25 | 1 of 4 | ||
| 66794 | degradation of sugar acids | 24 | 6 of 25 | ||
| 66794 | sulfate reduction | 23.08 | 3 of 13 | ||
| 66794 | phosphatidylethanolamine bioynthesis | 23.08 | 3 of 13 | ||
| 66794 | phenylpropanoid biosynthesis | 23.08 | 3 of 13 | ||
| 66794 | polyamine pathway | 21.74 | 5 of 23 | ||
| 66794 | heme metabolism | 21.43 | 3 of 14 |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Environmental | #Aquatic | #Sediment | |
| #Condition | #Sulfuric | - | |
| #Condition | #Thermophilic (>45°C) | - |
| @ref | Sample type | Geographic location | Country | Latitude | Longitude | |
|---|---|---|---|---|---|---|
| 22578 | hydrothermal sediment mixed with fragments of inactive sulphide chimneys, depth of 2891 m | Pacific Ocean, East Pacific Rise (site DY115-22VI-S019-TGV13) | International waters | -3.9667 | -102.917 -3.9667/-102.917 | |
| 67770 | Sediment of an active hydrothermal vent on the East Pacific Rise |
Global distribution of 16S sequence KC119212 (>99% sequence identity) for Kosmotoga pacifica subclade from Microbeatlas ![]()
| @ref | Biosafety level | Biosafety level comment | |
|---|---|---|---|
| 22578 | 1 | Risk group (German classification) |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM102702v1 assembly for Kosmotoga pacifica SLHLJ1 | complete | 1330330 | 98.62 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 22578 | Kosmotoga pacifica strain SLHLJ1 16S ribosomal RNA gene, partial sequence | KC119212 | 1501 | 1330330 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 83.90 | no |
| 125439 | motility | BacteriaNetⓘ | no | 72.90 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 83.40 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | anaerobe | 90.90 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 66.97 | no |
| 125438 | anaerobic | anaerobicⓘ | yes | 88.81 | yes |
| 125438 | aerobic | aerobicⓘ | no | 94.59 | yes |
| 125438 | spore-forming | spore-formingⓘ | no | 79.50 | no |
| 125438 | thermophilic | thermophileⓘ | yes | 68.81 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 65.95 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Global Association between Thermophilicity and Vancomycin Susceptibility in Bacteria. | Roy C, Alam M, Mandal S, Haldar PK, Bhattacharya S, Mukherjee T, Roy R, Rameez MJ, Misra AK, Chakraborty R, Nanda AK, Mukhopadhyay SK, Ghosh W. | Front Microbiol | 10.3389/fmicb.2016.00412 | 2016 | ||
| Enzymology | Structural elements determining the transglycosylating activity of glycoside hydrolase family 57 glycogen branching enzymes. | Xiang G, Leemhuis H, van der Maarel MJEC. | Proteins | 10.1002/prot.26200 | 2022 | |
| Metabolism | Time-restricted feeding ameliorates non-alcoholic fatty liver disease through modulating hepatic nicotinamide metabolism via gut microbiota remodeling. | Feng R, Yang W, Feng W, Huang X, Cen M, Peng G, Wu W, Wang Z, Jing Y, Long T, Liu Y, Li Z, Chang G, Huang K. | Gut Microbes | 10.1080/19490976.2024.2390164 | 2024 | |
| Metabolism | Identification of Thermotoga maritima MSB8 GH57 alpha-amylase AmyC as a glycogen-branching enzyme with high hydrolytic activity. | Zhang X, Leemhuis H, Janecek S, Martinovicova M, Pijning T, van der Maarel MJEC. | Appl Microbiol Biotechnol | 10.1007/s00253-019-09938-1 | 2019 | |
| Metabolism | Genome-Resolved Metagenomics and Detailed Geochemical Speciation Analyses Yield New Insights into Microbial Mercury Cycling in Geothermal Springs. | Gionfriddo CM, Stott MB, Power JF, Ogorek JM, Krabbenhoft DP, Wick R, Holt K, Chen LX, Thomas BC, Banfield JF, Moreau JW. | Appl Environ Microbiol | 10.1128/aem.00176-20 | 2020 | |
| Genetics | Phylogenetic distribution, biogeography and the effects of land management upon bacterial non-specific Acid phosphatase Gene diversity and abundance. | Neal AL, Blackwell M, Akkari E, Guyomar C, Clark I, Hirsch PR. | Plant Soil | 10.1007/s11104-017-3301-2 | 2018 | |
| Genetics | Expanded Phylogenetic Diversity and Metabolic Flexibility of Mercury-Methylating Microorganisms. | McDaniel EA, Peterson BD, Stevens SLR, Tran PQ, Anantharaman K, McMahon KD. | mSystems | 10.1128/msystems.00299-20 | 2020 | |
| Transcriptome | Genomic insights into temperature-dependent transcriptional responses of Kosmotoga olearia, a deep-biosphere bacterium that can grow from 20 to 79 °C. | Pollo SMJ, Adebusuyi AA, Straub TJ, Foght JM, Zhaxybayeva O, Nesbo CL. | Extremophiles | 10.1007/s00792-017-0956-9 | 2017 | |
| Genetics | Complete genome sequence and whole-genome phylogeny of Kosmotoga pacifica type strain SLHLJ1(T) from an East Pacific hydrothermal sediment. | Jiang L, L'Haridon S, Jebbar M, Xu H, Alain K, Shao Z | Stand Genomic Sci | 10.1186/s40793-016-0214-2 | 2017 | |
| Phylogeny | Kosmotoga pacifica sp. nov., a thermophilic chemoorganoheterotrophic bacterium isolated from an East Pacific hydrothermal sediment. | L'Haridon S, Jiang L, Alain K, Chalopin M, Rouxel O, Beauverger M, Xu H, Shao Z, Jebbar M | Extremophiles | 10.1007/s00792-013-0596-7 | 2013 |
| #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 ) |
| #22578 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 26965 |
| #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 ) |
| #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 ) |
You found an error in BacDive? Please tell us about it!
Note that changes will be reviewed and judged. If your changes are legitimate, changes will occur within the next BacDive update. Only proposed changes supported by the according reference will be reviewed. The BacDive team reserves the right to reject proposed changes.
Successfully sent
If you want to cite this particular strain cite the following doi:
https://doi.org/10.13145/bacdive131351.20251217.10
When using BacDive for research please cite the following paper
BacDive in 2025: the core database for prokaryotic strain data