Nitratifractor salsuginis E9I37-1 is a facultative anaerobe, mesophilic, Gram-negative prokaryote that was isolated from deep-sea hydrothermal vent chimney.
Gram-negative rod-shaped facultative anaerobe mesophilic genome sequence 16S sequence| @ref 20215 |
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| Domain Pseudomonadati |
| Phylum Pseudomonadota |
| Class Epsilonproteobacteria |
| Order Nautiliales |
| Family Nautiliaceae |
| Genus Nitratifractor |
| Species Nitratifractor salsuginis |
| Full scientific name Nitratifractor salsuginis Nakagawa et al. 2005 |
| @ref: | 66793 |
| multimedia content: | EM_DSM_16511_1.jpg |
| multimedia.multimedia content: | EM_DSM_16511_1.jpg |
| caption: | electron microscopic image |
| intellectual property rights: | © HZI/Manfred Rohde |
| manual_annotation: | 1 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 6384 | NITRATIRUPTOR AND NITRATIFACTOR MEDIUM (DSMZ Medium 1024) | Medium recipe at MediaDive | Name: NITRATIRUPTOR AND NITRATIFRACTOR MEDIUM (DSMZ Medium 1024) Composition: MgCl2 x 6 H2O 418.0 g/l KCl 33.0 g/l NH4Cl 25.0 g/l K2HPO4 14.0 g/l Sulfur powder 3.0 g/l MgSO4 x 7 H2O 3.0 g/l C6H9NO6 1.5 g/l Fe(NH4)2(SO4)2 x 6 H2O 1.0 g/l NaCl 1.0 g/l Na2S2O3 x 5 H2O 1.0 g/l NaHCO3 1.0 g/l NaNO3 1.0 g/l MnSO4 x 2 H2O 0.5 g/l CoSO4 x 7 H2O 0.18 g/l ZnSO4 x 7 H2O 0.18 g/l FeSO4 x 7 H2O 0.1 g/l CaCl2 x 2 H2O 0.1 g/l NiCl2 x 6 H2O 0.025 g/l AlK(SO4)2 x 12 H2O 0.02 g/l Nitrilotriacetic acid 0.015 g/l Na2MoO4 x 2 H2O 0.01 g/l CuSO4 x 5 H2O 0.01 g/l H3BO3 0.01 g/l MnSO4 x H2O 0.005 g/l Na2SeO3 x 5 H2O 0.0003 g/l Pyridoxine hydrochloride 0.0001 g/l Calcium D-(+)-pantothenate 5e-05 g/l p-Aminobenzoic acid 5e-05 g/l Thiamine HCl 5e-05 g/l (DL)-alpha-Lipoic acid 5e-05 g/l Riboflavin 5e-05 g/l Nicotinic acid 5e-05 g/l Folic acid 2e-05 g/l Biotin 2e-05 g/l Na2WO4 x 2 H2O 4e-06 g/l Vitamin B12 1e-06 g/l Distilled water |
| @ref | pathway | enzyme coverage | annotated reactions | external links | |
|---|---|---|---|---|---|
| 66794 | CMP-KDO biosynthesis | 100 | 4 of 4 | ||
| 66794 | ribulose monophosphate pathway | 100 | 2 of 2 | ||
| 66794 | ppGpp biosynthesis | 100 | 4 of 4 | ||
| 66794 | ethanol fermentation | 100 | 2 of 2 | ||
| 66794 | denitrification | 100 | 2 of 2 | ||
| 66794 | biotin biosynthesis | 100 | 4 of 4 | ||
| 66794 | CDP-diacylglycerol biosynthesis | 100 | 2 of 2 | ||
| 66794 | hydrogen production | 100 | 5 of 5 | ||
| 66794 | UDP-GlcNAc biosynthesis | 100 | 3 of 3 | ||
| 66794 | suberin monomers biosynthesis | 100 | 2 of 2 | ||
| 66794 | folate polyglutamylation | 100 | 1 of 1 | ||
| 66794 | tetrahydrofolate metabolism | 100 | 14 of 14 | ||
| 66794 | anapleurotic synthesis of oxalacetate | 100 | 1 of 1 | ||
| 66794 | coenzyme A metabolism | 100 | 4 of 4 | ||
| 66794 | palmitate biosynthesis | 95.45 | 21 of 22 | ||
| 66794 | aspartate and asparagine metabolism | 88.89 | 8 of 9 | ||
| 66794 | lipid A biosynthesis | 88.89 | 8 of 9 | ||
| 66794 | chorismate metabolism | 88.89 | 8 of 9 | ||
| 66794 | isoleucine metabolism | 87.5 | 7 of 8 | ||
| 66794 | gluconeogenesis | 87.5 | 7 of 8 | ||
| 66794 | C4 and CAM-carbon fixation | 87.5 | 7 of 8 | ||
| 66794 | reductive acetyl coenzyme A pathway | 85.71 | 6 of 7 | ||
| 66794 | ubiquinone biosynthesis | 85.71 | 6 of 7 | ||
| 66794 | 1,4-dihydroxy-6-naphthoate biosynthesis | 83.33 | 5 of 6 | ||
| 66794 | methylglyoxal degradation | 80 | 4 of 5 | ||
| 66794 | threonine metabolism | 80 | 8 of 10 | ||
| 66794 | peptidoglycan biosynthesis | 80 | 12 of 15 | ||
| 66794 | photosynthesis | 78.57 | 11 of 14 | ||
| 66794 | heme metabolism | 78.57 | 11 of 14 | ||
| 66794 | valine metabolism | 77.78 | 7 of 9 | ||
| 66794 | NAD metabolism | 77.78 | 14 of 18 | ||
| 66794 | molybdenum cofactor biosynthesis | 77.78 | 7 of 9 | ||
| 66794 | glutamate and glutamine metabolism | 75 | 21 of 28 | ||
| 66794 | glycogen biosynthesis | 75 | 3 of 4 | ||
| 66794 | sulfopterin metabolism | 75 | 3 of 4 | ||
| 66794 | acetate fermentation | 75 | 3 of 4 | ||
| 66794 | 6-hydroxymethyl-dihydropterin diphosphate biosynthesis | 75 | 6 of 8 | ||
| 66794 | glutathione metabolism | 71.43 | 10 of 14 | ||
| 66794 | phenylalanine metabolism | 69.23 | 9 of 13 | ||
| 66794 | vitamin B1 metabolism | 69.23 | 9 of 13 | ||
| 66794 | serine metabolism | 66.67 | 6 of 9 | ||
| 66794 | d-mannose degradation | 66.67 | 6 of 9 | ||
| 66794 | cyanate degradation | 66.67 | 2 of 3 | ||
| 66794 | acetoin degradation | 66.67 | 2 of 3 | ||
| 66794 | formaldehyde oxidation | 66.67 | 2 of 3 | ||
| 66794 | selenocysteine biosynthesis | 66.67 | 4 of 6 | ||
| 66794 | L-lactaldehyde degradation | 66.67 | 2 of 3 | ||
| 66794 | flavin biosynthesis | 66.67 | 10 of 15 | ||
| 66794 | glycolysis | 64.71 | 11 of 17 | ||
| 66794 | citric acid cycle | 64.29 | 9 of 14 | ||
| 66794 | purine metabolism | 62.77 | 59 of 94 | ||
| 66794 | methionine metabolism | 61.54 | 16 of 26 | ||
| 66794 | cysteine metabolism | 61.11 | 11 of 18 | ||
| 66794 | lipoate biosynthesis | 60 | 3 of 5 | ||
| 66794 | starch degradation | 60 | 6 of 10 | ||
| 66794 | isoprenoid biosynthesis | 57.69 | 15 of 26 | ||
| 66794 | lysine metabolism | 57.14 | 24 of 42 | ||
| 66794 | nitrate assimilation | 55.56 | 5 of 9 | ||
| 66794 | alanine metabolism | 55.17 | 16 of 29 | ||
| 66794 | pentose phosphate pathway | 54.55 | 6 of 11 | ||
| 66794 | urea cycle | 53.85 | 7 of 13 | ||
| 66794 | leucine metabolism | 53.85 | 7 of 13 | ||
| 66794 | non-pathway related | 52.63 | 20 of 38 | ||
| 66794 | oxidative phosphorylation | 51.65 | 47 of 91 | ||
| 66794 | pyrimidine metabolism | 51.11 | 23 of 45 | ||
| 66794 | glycine metabolism | 50 | 5 of 10 | ||
| 66794 | pantothenate biosynthesis | 50 | 3 of 6 | ||
| 66794 | dTDPLrhamnose biosynthesis | 50 | 4 of 8 | ||
| 66794 | glycolate and glyoxylate degradation | 50 | 3 of 6 | ||
| 66794 | adipate degradation | 50 | 1 of 2 | ||
| 66794 | coenzyme M biosynthesis | 50 | 5 of 10 | ||
| 66794 | cis-vaccenate biosynthesis | 50 | 1 of 2 | ||
| 66794 | phenylmercury acetate degradation | 50 | 1 of 2 | ||
| 66794 | tryptophan metabolism | 50 | 19 of 38 | ||
| 66794 | propionate fermentation | 50 | 5 of 10 | ||
| 66794 | butanoate fermentation | 50 | 2 of 4 | ||
| 66794 | dolichol and dolichyl phosphate biosynthesis | 50 | 1 of 2 | ||
| 66794 | histidine metabolism | 48.28 | 14 of 29 | ||
| 66794 | polyamine pathway | 47.83 | 11 of 23 | ||
| 66794 | vitamin B6 metabolism | 45.45 | 5 of 11 | ||
| 66794 | proline metabolism | 45.45 | 5 of 11 | ||
| 66794 | CO2 fixation in Crenarchaeota | 44.44 | 4 of 9 | ||
| 66794 | propanol degradation | 42.86 | 3 of 7 | ||
| 66794 | tyrosine metabolism | 42.86 | 6 of 14 | ||
| 66794 | cardiolipin biosynthesis | 42.86 | 3 of 7 | ||
| 66794 | lipid metabolism | 41.94 | 13 of 31 | ||
| 66794 | arginine metabolism | 41.67 | 10 of 24 | ||
| 66794 | degradation of aromatic, nitrogen containing compounds | 41.67 | 5 of 12 | ||
| 66794 | ethylmalonyl-CoA pathway | 40 | 2 of 5 | ||
| 66794 | vitamin K metabolism | 40 | 2 of 5 | ||
| 66794 | glycogen metabolism | 40 | 2 of 5 | ||
| 66794 | sulfate reduction | 38.46 | 5 of 13 | ||
| 66794 | ketogluconate metabolism | 37.5 | 3 of 8 | ||
| 66794 | IAA biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | acetyl CoA biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | degradation of hexoses | 33.33 | 6 of 18 | ||
| 66794 | enterobactin biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | octane oxidation | 33.33 | 1 of 3 | ||
| 66794 | 4-hydroxymandelate degradation | 33.33 | 3 of 9 | ||
| 66794 | methanogenesis from CO2 | 33.33 | 4 of 12 | ||
| 66794 | 3-phenylpropionate degradation | 26.67 | 4 of 15 | ||
| 66794 | degradation of sugar alcohols | 25 | 4 of 16 | ||
| 66794 | lactate fermentation | 25 | 1 of 4 | ||
| 66794 | cyclohexanol degradation | 25 | 1 of 4 | ||
| 66794 | toluene degradation | 25 | 1 of 4 | ||
| 66794 | androgen and estrogen metabolism | 25 | 4 of 16 | ||
| 66794 | phosphatidylethanolamine bioynthesis | 23.08 | 3 of 13 |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Environmental | #Aquatic | #Hydrothermal vent | |
| #Environmental | #Aquatic | #Marine | |
| #Condition | #Thermophilic (>45°C) | - |
| @ref | Sample type | Geographic location | Country | Country ISO 3 Code | Continent | |
|---|---|---|---|---|---|---|
| 6384 | deep-sea hydrothermal vent chimney | Iheya North hydrothermal field in the Mid-Okinawa Trough | Japan | JPN | Asia | |
| 67770 | Deep-sea hydrothermal vent chimney structures at the Iheya North hydrothermal field in the Mid-Okinawa Trough | Japan | JPN | Asia |
Global distribution of 16S sequence AB175500 (>99% sequence identity) for Nitratifractor salsuginis subclade from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM18624v1 assembly for Nitratifractor salsuginis DSM 16511 | complete | 749222 | 98.56 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 6384 | Nitratifractor salsuginis gene for 16S rRNA, partial sequence | AB175500 | 1439 | 749222 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 75.30 | no |
| 125439 | motility | BacteriaNetⓘ | no | 59.20 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 66.20 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | anaerobe | 99.90 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 98.79 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 58.31 | no |
| 125438 | aerobic | aerobicⓘ | no | 81.57 | yes |
| 125438 | spore-forming | spore-formingⓘ | no | 95.21 | yes |
| 125438 | thermophilic | thermophileⓘ | no | 78.33 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 68.09 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| The biocontrol effect and mechanism of the marine-derived fungus Epicoccum nigrum against Alternaria alternata, the causal agent of tomato black spot disease. | Fu SQ, Cao F, Pang S, Qi XQ, Xu ZH, Zhang YH, Liu ZC, Luo DQ, Liu YF. | Pestic Biochem Physiol | 10.1016/j.pestbp.2025.106552 | 2025 | ||
| Transcriptome | Preparation, characteristic and anti-inflammatory effect of selenium nanoparticle-enriched probiotic strain Enterococcus durans A8-1. | Liu J, Shi L, Tuo X, Ma X, Hou X, Jiang S, Lv J, Cheng Y, Guo D, Han B. | J Trace Elem Med Biol | 10.1016/j.jtemb.2022.127056 | 2022 | |
| Enzymology | Establishing a co-culture aggregate of N-cycle bacteria to elucidate flocculation in biological wastewater treatment. | Parret L, Simoens K, Horemans B, De Vrieze J, Smets I. | Appl Microbiol Biotechnol | 10.1007/s00253-025-13522-1 | 2025 | |
| Designing and Evaluation of a Plasmid Encoding Immunogenic Epitopes From Echinococcus granulosus Eg95-1-6, P29, and GST Against Hydatid Cyst in BALB/c Mice. | Khazaei S, Dalimi A, Pirestani M, Ghafarifar F. | J Parasitol Res | 10.1155/japr/1655679 | 2025 | ||
| Genetics | Microbiome-based therapeutics towards healthier aging and longevity. | Kadyan S, Park G, Singh TP, Patoine C, Singar S, Heise T, Domeier C, Ray C, Kumar M, Behare PV, Chakrabarty P, Efron P, Sheffler J, Nagpal R. | Genome Med | 10.1186/s13073-025-01493-x | 2025 | |
| Enterococcus durans 98D alters gut microbial composition and function to improve DSS-induced colitis in mice. | Lei Y, Yan Y, Zhong J, Zhao Y, Xu Y, Zhang T, Xiong H, Chen Y, Wang X, Zhang K. | Heliyon | 10.1016/j.heliyon.2024.e28486 | 2024 | ||
| Metabolism | Capturing Compositional Variation in Denitrifying Communities: a Multiple-Primer Approach That Includes Epsilonproteobacteria. | Murdock SA, Juniper SK. | Appl Environ Microbiol | 10.1128/aem.02753-16 | 2017 | |
| Probiotics Supplementation Improves Intestinal Permeability, Obesity Index and Metabolic Biomarkers in Elderly Thai Subjects: A Randomized Controlled Trial. | Chaiyasut C, Sivamaruthi BS, Lailerd N, Sirilun S, Khongtan S, Fukngoen P, Peerajan S, Saelee M, Chaiyasut K, Kesika P, Sittiprapaporn P. | Foods | 10.3390/foods11030268 | 2022 | ||
| Enrichment and Genomic Characterization of a N2O-Reducing Chemolithoautotroph From a Deep-Sea Hydrothermal Vent. | Mino S, Yoneyama N, Nakagawa S, Takai K, Sawabe T. | Front Bioeng Biotechnol | 10.3389/fbioe.2018.00184 | 2018 | ||
| A Possible Role of Insertion Sequence IS1216V in Dissemination of Multidrug-Resistant Elements MESPM1 and MES6272-2 between Enterococcus and ST59 Staphylococcus aureus. | Lin YT, Tseng SP, Hung WW, Chang CC, Chen YH, Jao YT, Chen YH, Teng LJ, Hung WC. | Microorganisms | 10.3390/microorganisms8121905 | 2020 | ||
| Genetics | DciA is an ancestral replicative helicase operator essential for bacterial replication initiation. | Brezellec P, Vallet-Gely I, Possoz C, Quevillon-Cheruel S, Ferat JL. | Nat Commun | 10.1038/ncomms13271 | 2016 | |
| Metabolism | Distribution of glucan-branching enzymes among prokaryotes. | Suzuki E, Suzuki R. | Cell Mol Life Sci | 10.1007/s00018-016-2243-9 | 2016 | |
| Enzymology | Horizontal acquisition of hydrogen conversion ability and other habitat adaptations in the Hydrogenovibrio strains SP-41 and XCL-2. | Gonnella G, Adam N, Perner M. | BMC Genomics | 10.1186/s12864-019-5710-5 | 2019 | |
| Epidemiological Profile of Acute Viral Encephalitis in a Sample of Egyptian Children. | Meligy B, Kadry D, Draz IH, Marzouk H, El Baroudy NR, El Rifay AS. | Open Access Maced J Med Sci | 10.3889/oamjms.2018.103 | 2018 | ||
| Genetics | Probiotic Potential Analysis and Safety Evaluation of Enterococcus durans A8-1 Isolated From a Healthy Chinese Infant. | Zhou Y, Shi L, Wang J, Yuan J, Liu J, Liu L, Da R, Cheng Y, Han B. | Front Microbiol | 10.3389/fmicb.2021.799173 | 2021 | |
| Metabolism | CO synthesized from the central one-carbon pool as source for the iron carbonyl in O2-tolerant [NiFe]-hydrogenase. | Burstel I, Siebert E, Frielingsdorf S, Zebger I, Friedrich B, Lenz O. | Proc Natl Acad Sci U S A | 10.1073/pnas.1614656113 | 2016 | |
| Metabolism | P2RP: a Web-based framework for the identification and analysis of regulatory proteins in prokaryotic genomes. | Barakat M, Ortet P, Whitworth DE. | BMC Genomics | 10.1186/1471-2164-14-269 | 2013 | |
| Conversion of monoculture cropland and open grassland to agroforestry alters the abundance of soil bacteria, fungi and soil-N-cycling genes. | Beule L, Corre MD, Schmidt M, Gobel L, Veldkamp E, Karlovsky P. | PLoS One | 10.1371/journal.pone.0218779 | 2019 | ||
| Stress | Stabilized coronavirus spikes are resistant to conformational changes induced by receptor recognition or proteolysis. | Kirchdoerfer RN, Wang N, Pallesen J, Wrapp D, Turner HL, Cottrell CA, Corbett KS, Graham BS, McLellan JS, Ward AB. | Sci Rep | 10.1038/s41598-018-34171-7 | 2018 | |
| Molecular evolution of cytochrome bd oxidases across proteobacterial genomes. | Degli Esposti M, Rosas-Perez T, Servin-Garciduenas LE, Bolanos LM, Rosenblueth M, Martinez-Romero E. | Genome Biol Evol | 10.1093/gbe/evv032 | 2015 | ||
| Draft genome sequence of Dethiosulfovibrio salsuginis DSM 21565T an anaerobic, slightly halophilic bacterium isolated from a Colombian saline spring. | Diaz-Cardenas C, Lopez G, Alzate-Ocampo JD, Gonzalez LN, Shapiro N, Woyke T, Kyrpides NC, Restrepo S, Baena S. | Stand Genomic Sci | 10.1186/s40793-017-0303-x | 2017 | ||
| Metabolism | Human-origin probiotic cocktail increases short-chain fatty acid production via modulation of mice and human gut microbiome. | Nagpal R, Wang S, Ahmadi S, Hayes J, Gagliano J, Subashchandrabose S, Kitzman DW, Becton T, Read R, Yadav H. | Sci Rep | 10.1038/s41598-018-30114-4 | 2018 | |
| Genetics | Complete genome sequence of Nitratifractor salsuginis type strain (E9I37-1). | Anderson I, Sikorski J, Zeytun A, Nolan M, Lapidus A, Lucas S, Hammon N, Deshpande S, Cheng JF, Tapia R, Han C, Goodwin L, Pitluck S, Liolios K, Pagani I, Ivanova N, Huntemann M, Mavromatis K, Ovchinikova G, Pati A, Chen A, Palaniappan K, Land M, Hauser L, Brambilla EM, Ngatchou-Djao OD, Rohde M, Tindall BJ, Goker M, Detter JC, Woyke T, Bristow J, Eisen JA, Markowitz V, Hugenholtz P, Klenk HP, Kyrpides NC | Stand Genomic Sci | 10.4056/sigs.1844518 | 2011 | |
| Phylogeny | Nitratiruptor tergarcus gen. nov., sp. nov. and Nitratifractor salsuginis gen. nov., sp. nov., nitrate-reducing chemolithoautotrophs of the epsilon-Proteobacteria isolated from a deep-sea hydrothermal system in the Mid-Okinawa Trough. | Nakagawa S, Takai K, Inagaki F, Horikoshi K, Sako Y | Int J Syst Evol Microbiol | 10.1099/ijs.0.63480-0 | 2005 |
| #6384 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 16511 |
| #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 ) |
| #27714 | IJSEM 925 2005 ( DOI 10.1099/ijs.0.63480-0 , PubMed 15774687 ) |
| #31405 | 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 #27714 |
| #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) . |
| #66793 | Mukherjee et al.: GEBA: 1,003 reference genomes of bacterial and archaeal isolates expand coverage of the tree of life. 35: 676 - 683 2017 ( DOI 10.1038/nbt.3886 , PubMed 28604660 ) |
| #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 ) |
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