Ardenticatena maritima 110S is a facultative aerobe, Gram-negative bacterium that was isolated from iron-rich sediment from a coastal hydrothermal field.
Gram-negative facultative aerobe genome sequence 16S sequence Bacteria| @ref 20215 |
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| Domain Bacteria |
| Phylum Chloroflexota |
| Class Ardenticatenia |
| Order Ardenticatenales |
| Family Ardenticatenaceae |
| Genus Ardenticatena |
| Species Ardenticatena maritima |
| Full scientific name Ardenticatena maritima Kawaichi et al. 2013 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 21262 | 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 |
| 67770 | Observationquinones: MK-9 |
| @ref | Chebi-ID | Metabolite | Utilization activity | Kind of utilization tested | |
|---|---|---|---|---|---|
| 30875 | 30089 ChEBI | acetate | + | carbon source | |
| 30875 | 22653 ChEBI | asparagine | + | carbon source | |
| 30875 | 17234 ChEBI | glucose | + | carbon source | |
| 30875 | 29987 ChEBI | glutamate | + | carbon source | |
| 30875 | 25115 ChEBI | malate | + | carbon source | |
| 30875 | 17306 ChEBI | maltose | + | carbon source | |
| 30875 | 15361 ChEBI | pyruvate | + | carbon source | |
| 30875 | 16634 ChEBI | raffinose | + | carbon source | |
| 30875 | 30031 ChEBI | succinate | + | carbon source | |
| 30875 | 17992 ChEBI | sucrose | + | carbon source | |
| 30875 | 27082 ChEBI | trehalose | + | carbon source |
| @ref | pathway | enzyme coverage | annotated reactions | external links | |
|---|---|---|---|---|---|
| 66794 | cellulose degradation | 100 | 5 of 5 | ||
| 66794 | gluconeogenesis | 100 | 8 of 8 | ||
| 66794 | phenylacetate degradation (aerobic) | 100 | 5 of 5 | ||
| 66794 | vitamin K metabolism | 100 | 5 of 5 | ||
| 66794 | glycine betaine biosynthesis | 100 | 5 of 5 | ||
| 66794 | adipate degradation | 100 | 2 of 2 | ||
| 66794 | valine metabolism | 100 | 9 of 9 | ||
| 66794 | denitrification | 100 | 2 of 2 | ||
| 66794 | CDP-diacylglycerol biosynthesis | 100 | 2 of 2 | ||
| 66794 | reductive acetyl coenzyme A pathway | 100 | 7 of 7 | ||
| 66794 | UDP-GlcNAc biosynthesis | 100 | 3 of 3 | ||
| 66794 | folate polyglutamylation | 100 | 1 of 1 | ||
| 66794 | suberin monomers biosynthesis | 100 | 2 of 2 | ||
| 66794 | anapleurotic synthesis of oxalacetate | 100 | 1 of 1 | ||
| 66794 | C4 and CAM-carbon fixation | 100 | 8 of 8 | ||
| 66794 | CO2 fixation in Crenarchaeota | 88.89 | 8 of 9 | ||
| 66794 | molybdenum cofactor biosynthesis | 88.89 | 8 of 9 | ||
| 66794 | aspartate and asparagine metabolism | 88.89 | 8 of 9 | ||
| 66794 | propanol degradation | 85.71 | 6 of 7 | ||
| 66794 | glutamate and glutamine metabolism | 85.71 | 24 of 28 | ||
| 66794 | phenylalanine metabolism | 84.62 | 11 of 13 | ||
| 66794 | NAD metabolism | 83.33 | 15 of 18 | ||
| 66794 | pentose phosphate pathway | 81.82 | 9 of 11 | ||
| 66794 | purine metabolism | 80.85 | 76 of 94 | ||
| 66794 | starch degradation | 80 | 8 of 10 | ||
| 66794 | hydrogen production | 80 | 4 of 5 | ||
| 66794 | peptidoglycan biosynthesis | 80 | 12 of 15 | ||
| 66794 | methylglyoxal degradation | 80 | 4 of 5 | ||
| 66794 | threonine metabolism | 80 | 8 of 10 | ||
| 66794 | propionate fermentation | 80 | 8 of 10 | ||
| 66794 | factor 420 biosynthesis | 80 | 4 of 5 | ||
| 66794 | ethylmalonyl-CoA pathway | 80 | 4 of 5 | ||
| 66794 | pyrimidine metabolism | 80 | 36 of 45 | ||
| 66794 | glycogen metabolism | 80 | 4 of 5 | ||
| 66794 | citric acid cycle | 78.57 | 11 of 14 | ||
| 66794 | heme metabolism | 78.57 | 11 of 14 | ||
| 66794 | photosynthesis | 78.57 | 11 of 14 | ||
| 66794 | chorismate metabolism | 77.78 | 7 of 9 | ||
| 66794 | palmitate biosynthesis | 77.27 | 17 of 22 | ||
| 66794 | glycolysis | 76.47 | 13 of 17 | ||
| 66794 | alanine metabolism | 75.86 | 22 of 29 | ||
| 66794 | butanoate fermentation | 75 | 3 of 4 | ||
| 66794 | isoleucine metabolism | 75 | 6 of 8 | ||
| 66794 | sulfopterin metabolism | 75 | 3 of 4 | ||
| 66794 | arginine metabolism | 75 | 18 of 24 | ||
| 66794 | glycogen biosynthesis | 75 | 3 of 4 | ||
| 66794 | 6-hydroxymethyl-dihydropterin diphosphate biosynthesis | 75 | 6 of 8 | ||
| 66794 | acetate fermentation | 75 | 3 of 4 | ||
| 66794 | ppGpp biosynthesis | 75 | 3 of 4 | ||
| 66794 | tyrosine metabolism | 71.43 | 10 of 14 | ||
| 66794 | cardiolipin biosynthesis | 71.43 | 5 of 7 | ||
| 66794 | tetrahydrofolate metabolism | 71.43 | 10 of 14 | ||
| 66794 | vitamin B1 metabolism | 69.23 | 9 of 13 | ||
| 66794 | leucine metabolism | 69.23 | 9 of 13 | ||
| 66794 | histidine metabolism | 68.97 | 20 of 29 | ||
| 66794 | glycolate and glyoxylate degradation | 66.67 | 4 of 6 | ||
| 66794 | nitrate assimilation | 66.67 | 6 of 9 | ||
| 66794 | cyanate degradation | 66.67 | 2 of 3 | ||
| 66794 | flavin biosynthesis | 66.67 | 10 of 15 | ||
| 66794 | octane oxidation | 66.67 | 2 of 3 | ||
| 66794 | formaldehyde oxidation | 66.67 | 2 of 3 | ||
| 66794 | lysine metabolism | 66.67 | 28 of 42 | ||
| 66794 | d-mannose degradation | 66.67 | 6 of 9 | ||
| 66794 | cysteine metabolism | 66.67 | 12 of 18 | ||
| 66794 | L-lactaldehyde degradation | 66.67 | 2 of 3 | ||
| 66794 | acetoin degradation | 66.67 | 2 of 3 | ||
| 66794 | selenocysteine biosynthesis | 66.67 | 4 of 6 | ||
| 66794 | methionine metabolism | 65.38 | 17 of 26 | ||
| 66794 | d-xylose degradation | 63.64 | 7 of 11 | ||
| 66794 | ketogluconate metabolism | 62.5 | 5 of 8 | ||
| 66794 | degradation of sugar alcohols | 62.5 | 10 of 16 | ||
| 66794 | non-pathway related | 60.53 | 23 of 38 | ||
| 66794 | lipoate biosynthesis | 60 | 3 of 5 | ||
| 66794 | Entner Doudoroff pathway | 60 | 6 of 10 | ||
| 66794 | oxidative phosphorylation | 58.24 | 53 of 91 | ||
| 66794 | tryptophan metabolism | 57.89 | 22 of 38 | ||
| 66794 | ubiquinone biosynthesis | 57.14 | 4 of 7 | ||
| 66794 | vitamin B12 metabolism | 55.88 | 19 of 34 | ||
| 66794 | serine metabolism | 55.56 | 5 of 9 | ||
| 66794 | proline metabolism | 54.55 | 6 of 11 | ||
| 66794 | metabolism of disaccharids | 54.55 | 6 of 11 | ||
| 66794 | sulfate reduction | 53.85 | 7 of 13 | ||
| 66794 | urea cycle | 53.85 | 7 of 13 | ||
| 66794 | polyamine pathway | 52.17 | 12 of 23 | ||
| 66794 | lipid metabolism | 51.61 | 16 of 31 | ||
| 66794 | degradation of pentoses | 50 | 14 of 28 | ||
| 66794 | coenzyme M biosynthesis | 50 | 5 of 10 | ||
| 66794 | aminopropanol phosphate biosynthesis | 50 | 1 of 2 | ||
| 66794 | CMP-KDO biosynthesis | 50 | 2 of 4 | ||
| 66794 | pantothenate biosynthesis | 50 | 3 of 6 | ||
| 66794 | dTDPLrhamnose biosynthesis | 50 | 4 of 8 | ||
| 66794 | myo-inositol biosynthesis | 50 | 5 of 10 | ||
| 66794 | biotin biosynthesis | 50 | 2 of 4 | ||
| 66794 | toluene degradation | 50 | 2 of 4 | ||
| 66794 | glutathione metabolism | 50 | 7 of 14 | ||
| 66794 | cis-vaccenate biosynthesis | 50 | 1 of 2 | ||
| 66794 | coenzyme A metabolism | 50 | 2 of 4 | ||
| 66794 | phenylmercury acetate degradation | 50 | 1 of 2 | ||
| 66794 | glycine metabolism | 50 | 5 of 10 | ||
| 66794 | ethanol fermentation | 50 | 1 of 2 | ||
| 66794 | degradation of aromatic, nitrogen containing compounds | 50 | 6 of 12 | ||
| 66794 | carotenoid biosynthesis | 45.45 | 10 of 22 | ||
| 66794 | degradation of hexoses | 44.44 | 8 of 18 | ||
| 66794 | mevalonate metabolism | 42.86 | 3 of 7 | ||
| 66794 | isoprenoid biosynthesis | 42.31 | 11 of 26 | ||
| 66794 | ascorbate metabolism | 40.91 | 9 of 22 | ||
| 66794 | metabolism of amino sugars and derivatives | 40 | 2 of 5 | ||
| 66794 | bacilysin biosynthesis | 40 | 2 of 5 | ||
| 66794 | cholesterol biosynthesis | 36.36 | 4 of 11 | ||
| 66794 | enterobactin biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | (5R)-carbapenem carboxylate biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | arachidonic acid metabolism | 33.33 | 6 of 18 | ||
| 66794 | IAA biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | acetyl CoA biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | lipid A biosynthesis | 33.33 | 3 of 9 | ||
| 66794 | sulfoquinovose degradation | 33.33 | 1 of 3 | ||
| 66794 | androgen and estrogen metabolism | 31.25 | 5 of 16 | ||
| 66794 | phenylpropanoid biosynthesis | 30.77 | 4 of 13 | ||
| 66794 | phosphatidylethanolamine bioynthesis | 30.77 | 4 of 13 | ||
| 66794 | vitamin B6 metabolism | 27.27 | 3 of 11 | ||
| 66794 | dolichyl-diphosphooligosaccharide biosynthesis | 27.27 | 3 of 11 | ||
| 66794 | 3-phenylpropionate degradation | 26.67 | 4 of 15 | ||
| 66794 | lactate fermentation | 25 | 1 of 4 | ||
| 66794 | cyclohexanol degradation | 25 | 1 of 4 | ||
| 66794 | carnitine metabolism | 25 | 2 of 8 | ||
| 66794 | methanogenesis from CO2 | 25 | 3 of 12 | ||
| 66794 | vitamin E metabolism | 25 | 1 of 4 | ||
| 66794 | degradation of sugar acids | 24 | 6 of 25 | ||
| 66794 | bile acid biosynthesis, neutral pathway | 23.53 | 4 of 17 |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Environmental | #Aquatic | - | |
| #Environmental | #Terrestrial | #Sediment | |
| #Condition | #Thermophilic (>45°C) | - |
| @ref | Sample type | Geographic location | Country | Country ISO 3 Code | Continent | Latitude | Longitude | |
|---|---|---|---|---|---|---|---|---|
| 21262 | iron-rich sediment from a coastal hydrothermal field | Yamagawa, Ibusuki, Kagoshima | Japan | JPN | Asia | 31.1828 | 130.616 31.1828/130.616 | |
| 67770 | Iron-rich coastal hydrothermal field | Japan | JPN | Asia | ||||
| 67771 | From ron-rich sediment from acostal hydrothermal field | Yamagawa, Ibusuki, Kagoshima | Japan | JPN | Asia |
Global distribution of 16S sequence AB576167 (>99% sequence identity) for Ardenticatena maritima subclade from Microbeatlas ![]()
| @ref | Biosafety level | Biosafety level comment | |
|---|---|---|---|
| 21262 | 1 | Risk group (German classification) |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM130617v1 assembly for Ardenticatena maritima 110S | contig | 872965 | 74.97 | ||||
| 67770 | ASM129354v1 assembly for Ardenticatena maritima 110S | scaffold | 872965 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 21262 | Ardenticatena maritima gene for 16S rRNA, partial sequence | AB576167 | 1453 | 872965 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 97.00 | no |
| 125439 | motility | BacteriaNetⓘ | no | 61.50 | no |
| 125439 | gram_stain | BacteriaNetⓘ | positive | 68.70 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | microaerophile | 77.50 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 50.94 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 84.50 | yes |
| 125438 | aerobic | aerobicⓘ | yes | 69.38 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 65.63 | yes |
| 125438 | thermophilic | thermophileⓘ | yes | 61.96 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 75.50 | yes |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Draft Genome Sequence of Ardenticatena maritima 110S, a Thermophilic Nitrate- and Iron-Reducing Member of the Chloroflexi Class Ardenticatenia. | Hemp J, Ward LM, Pace LA, Fischer WW. | Genome Announc | 10.1128/genomea.01347-15 | 2015 | ||
| Anodic and Cathodic Extracellular Electron Transfer by the Filamentous Bacterium Ardenticatena maritima 110S. | Kawaichi S, Yamada T, Umezawa A, McGlynn SE, Suzuki T, Dohmae N, Yoshida T, Sako Y, Matsushita N, Hashimoto K, Nakamura R. | Front Microbiol | 10.3389/fmicb.2018.00068 | 2018 | ||
| Phylogeny | Ardenticatena maritima gen. nov., sp. nov., a ferric iron- and nitrate-reducing bacterium of the phylum 'Chloroflexi' isolated from an iron-rich coastal hydrothermal field, and description of Ardenticatenia classis nov. | Kawaichi S, Ito N, Kamikawa R, Sugawara T, Yoshida T, Sako Y | Int J Syst Evol Microbiol | 10.1099/ijs.0.046532-0 | 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 ) |
| #21262 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 23922 |
| #27205 | IJSEM 2992 2013 ( DOI 10.1099/ijs.0.046532-0 , PubMed 23378114 ) |
| #30875 | 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 #27205 |
| #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; |
| #67771 | Korean Collection for Type Cultures (KCTC) ; Curators of the KCTC; |
| #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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