Methanococcus maripaludis JJ is an anaerobe, mesophilic prokaryote that was isolated from marine marsh sediment.
anaerobe mesophilic genome sequence 16S sequence| @ref 20215 |
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| Domain Methanobacteriati |
| Phylum Methanobacteriota |
| Class Methanococci |
| Order Methanococcales |
| Family Methanococcaceae |
| Genus Methanococcus |
| Species Methanococcus maripaludis |
| Full scientific name Methanococcus maripaludis Jones et al. 1984 |
| Synonyms (1) |
| BacDive ID | Other strains from Methanococcus maripaludis (5) | Type strain |
|---|---|---|
| 6990 | M. maripaludis Delta RC, DSM 2771, ATCC 35294 | |
| 6991 | M. maripaludis LL, S2, DSM 14266, JCM 13030, NBRC 101832 | |
| 160836 | M. maripaludis JCM 10011, NBRC 102114, OCM 209 | |
| 160837 | M. maripaludis JCM 10012, OCM 363 | |
| 160838 | M. maripaludis JCM 10013, OCM 364 |
| @ref | Gram stain | Confidence | |
|---|---|---|---|
| 125439 | negative | 94.3 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 701 | METHANOGENIUM MEDIUM (H2/CO2) (DSMZ Medium 141) | Medium recipe at MediaDive | Name: METHANOGENIUM MEDIUM (H2/CO2) (DSMZ Medium 141) Composition: NaHCO3 4.89237 g/l MgCl2 x 6 H2O 3.91389 g/l Yeast extract 1.95695 g/l Trypticase peptone 1.95695 g/l Na-acetate 0.978474 g/l Na2S x 9 H2O 0.489237 g/l L-Cysteine HCl x H2O 0.489237 g/l KCl 0.332681 g/l NH4Cl 0.244618 g/l K2HPO4 0.136986 g/l MgSO4 x 7 H2O 0.0293542 g/l Nitrilotriacetic acid 0.0146771 g/l NaCl 0.00978474 g/l MnSO4 x H2O 0.00489237 g/l Fe(NH4)2(SO4)2 x 6 H2O 0.00195695 g/l CoSO4 x 7 H2O 0.00176125 g/l ZnSO4 x 7 H2O 0.00176125 g/l FeSO4 x 7 H2O 0.000978474 g/l CaCl2 x 2 H2O 0.000978474 g/l Sodium resazurin 0.000489237 g/l NiCl2 x 6 H2O 0.000293542 g/l AlK(SO4)2 x 12 H2O 0.000195695 g/l CuSO4 x 5 H2O 9.78474e-05 g/l Pyridoxine hydrochloride 9.78474e-05 g/l Na2MoO4 x 2 H2O 9.78474e-05 g/l H3BO3 9.78474e-05 g/l Nicotinic acid 4.89237e-05 g/l Riboflavin 4.89237e-05 g/l (DL)-alpha-Lipoic acid 4.89237e-05 g/l Thiamine HCl 4.89237e-05 g/l Calcium D-(+)-pantothenate 4.89237e-05 g/l p-Aminobenzoic acid 4.89237e-05 g/l Folic acid 1.95695e-05 g/l Biotin 1.95695e-05 g/l Na2WO4 x 2 H2O 3.91389e-06 g/l Na2SeO3 x 5 H2O 2.93542e-06 g/l Vitamin B12 9.78474e-07 g/l Distilled water |
Global distribution of 16S sequence KC139247 (>99% sequence identity) for Methanococcus from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM294532v1 assembly for Methanococcus maripaludis DSM 2067 | complete | 39152 | 96.28 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 20218 | Methanococcus maripaludis culture DSM:2067 16S ribosomal RNA gene, partial sequence | JQ346753 | 1262 | 39152 | ||
| 701 | Methanococcus maripaludis 16S ribosomal RNA, complete sequence | U38484 | 1413 | 39152 | ||
| 67770 | Methanococcus maripaludis strain NBRC 101831 16S ribosomal RNA gene, partial sequence | KC139247 | 1400 | 39152 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 96.00 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 67.00 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 94.30 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | facultative anaerobe | 97.80 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 62.74 | no |
| 125438 | anaerobic | anaerobicⓘ | yes | 89.35 | yes |
| 125438 | aerobic | aerobicⓘ | no | 87.40 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 89.57 | no |
| 125438 | thermophilic | thermophileⓘ | no | 69.40 | no |
| 125438 | flagellated | motile2+ⓘ | no | 85.38 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Enzymology | Adaptation of a methanogen to Fe0 corrosion via direct contact. | Kawaichi S, Kotoky R, Fiutowski J, Rotaru AE. | NPJ Biofilms Microbiomes | 10.1038/s41522-024-00574-w | 2024 | |
| Improved Quantitative Real-Time PCR Protocol for Detection and Quantification of Methanogenic Archaea in Stool Samples. | Cisek AA, Bak I, Cukrowska B. | Microorganisms | 10.3390/microorganisms11030660 | 2023 | ||
| Enzymology | Structure of the ATP-driven methyl-coenzyme M reductase activation complex. | Ramirez-Amador F, Paul S, Kumar A, Lorent C, Keller S, Bohn S, Nguyen T, Lometto S, Vlegels D, Kahnt J, Deobald D, Abendroth F, Vazquez O, Hochberg G, Scheller S, Stripp ST, Schuller JM. | Nature | 10.1038/s41586-025-08890-7 | 2025 | |
| Genetics | A Rapid, Sensitive, Low-Cost Assay for Detecting Hydrogenotrophic Methanogens in Anaerobic Digesters Using Loop-Mediated Isothermal Amplification. | Alessi AM, Tao B, Zhang W, Zhang Y, Heaven S, Banks CJ, Chong JPJ. | Microorganisms | 10.3390/microorganisms8050740 | 2020 | |
| Enzymology | Localization of Methyl-Coenzyme M reductase as metabolic marker for diverse methanogenic Archaea. | Wrede C, Walbaum U, Ducki A, Heieren I, Hoppert M. | Archaea | 10.1155/2013/920241 | 2013 | |
| Emergence of a "Cyclosome" in a Primitive Network Capable of Building "Infinite" Proteins. | Demongeot J, Norris V. | Life (Basel) | 10.3390/life9020051 | 2019 | ||
| Metabolism | Discovery of multiple modified F(430) coenzymes in methanogens and anaerobic methanotrophic archaea suggests possible new roles for F(430) in nature. | Allen KD, Wegener G, White RH. | Appl Environ Microbiol | 10.1128/aem.02202-14 | 2014 | |
| Metabolism | Inactivation of the selB gene in Methanococcus maripaludis: effect on synthesis of selenoproteins and their sulfur-containing homologs. | Rother M, Mathes I, Lottspeich F, Bock A. | J Bacteriol | 10.1128/jb.185.1.107-114.2003 | 2003 | |
| Metabolism | Post-transcriptional modification in archaeal tRNAs: identities and phylogenetic relations of nucleotides from mesophilic and hyperthermophilic Methanococcales. | McCloskey JA, Graham DE, Zhou S, Crain PF, Ibba M, Konisky J, Soll D, Olsen GJ. | Nucleic Acids Res | 10.1093/nar/29.22.4699 | 2001 | |
| Metabolism | Lysine-2,3-aminomutase and beta-lysine acetyltransferase genes of methanogenic archaea are salt induced and are essential for the biosynthesis of Nepsilon-acetyl-beta-lysine and growth at high salinity. | Pfluger K, Baumann S, Gottschalk G, Lin W, Santos H, Muller V. | Appl Environ Microbiol | 10.1128/aem.69.10.6047-6055.2003 | 2003 | |
| Metabolism | Pathway of glycogen metabolism in Methanococcus maripaludis. | Yu JP, Ladapo J, Whitman WB. | J Bacteriol | 10.1128/jb.176.2.325-332.1994 | 1994 | |
| Enzymology | Characterization of enzymes of the branched-chain amino acid biosynthetic pathway in Methanococcus spp. | Xing RY, Whitman WB. | J Bacteriol | 10.1128/jb.173.6.2086-2092.1991 | 1991 | |
| Growth and plating efficiency of methanococci on agar media. | Jones WJ, Whitman WB, Fields RD, Wolfe RS. | Appl Environ Microbiol | 10.1128/aem.46.1.220-226.1983 | 1983 | ||
| New insight into RNase P RNA structure from comparative analysis of the archaeal RNA. | Harris JK, Haas ES, Williams D, Frank DN, Brown JW. | RNA | 10.1017/s1355838201001777 | 2001 | ||
| Enzymology | ADP-dependent phosphofructokinases in mesophilic and thermophilic methanogenic archaea. | Verhees CH, Tuininga JE, Kengen SW, Stams AJ, van der Oost J, de Vos WM. | J Bacteriol | 10.1128/jb.183.24.7145-7153.2001 | 2001 | |
| Metabolism | Mercury methylation by the methanogen Methanospirillum hungatei. | Yu RQ, Reinfelder JR, Hines ME, Barkay T. | Appl Environ Microbiol | 10.1128/aem.01556-13 | 2013 | |
| Metabolism | Glyceraldehyde-3-phosphate ferredoxin oxidoreductase from Methanococcus maripaludis. | Park MO, Mizutani T, Jones PR. | J Bacteriol | 10.1128/jb.00828-07 | 2007 | |
| Metabolism | Mercury methylation by interspecies hydrogen and acetate transfer between sulfidogens and methanogens. | Pak K, Bartha R. | Appl Environ Microbiol | 10.1128/aem.64.6.1987-1990.1998 | 1998 | |
| Metabolism | Iron-corroding methanogen isolated from a crude-oil storage tank. | Uchiyama T, Ito K, Mori K, Tsurumaru H, Harayama S. | Appl Environ Microbiol | 10.1128/aem.00668-09 | 2010 | |
| Genetics | Complete Genome Sequence of the Methanococcus maripaludis Type Strain JJ (DSM 2067), a Model for Selenoprotein Synthesis in Archaea. | Poehlein A, Heym D, Quitzke V, Fersch J, Daniel R, Rother M | Genome Announc | 10.1128/genomeA.00237-18 | 2018 |
| #701 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 2067 |
| #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 ) |
| #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) . |
| #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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