Methanococcus maripaludis (DSM 14266, JCM 13030, LL)

Name: Methanococcus maripaludis (DSM 14266, JCM 13030, LL)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 6991

Type strain

Strain Designation LL, S2

Culture col. no. DSM 14266 JCM 13030 LL S2 NBRC 101832

NCBI tax ID(s) 39152

Special Collections DSMZ JCM

History <- J. A. Leigh, University of Washington, Seattle, Washington, USA; LL <- W. B. Whitman {1986} DSM 14266 <-- J. A. Leigh <-- W. B. Witman S2.

Links

Methanococcus maripaludis LL is an anaerobe archaeon that was isolated from salt marsh and intertidal sediments.

anaerobe genome sequence 16S sequence Archaea

Name and taxonomic classification

SI-ID 49551

DSM 14266,JCM 13030,NBRC 101832

@ref 20215

Last LPSN update 2026-02-09 11:19:22

Domain Archaea

Phylum Methanobacteriota

Class Methanococci

Order Methanococcales

Family Methanococcaceae

Genus Methanococcus

Species Methanococcus maripaludis

Full scientific name Methanococcus maripaludis Jones et al. 1984

Synonyms (1)

Methanococcus deltae

BacDive ID	Other strains from **Methanococcus maripaludis** (5)	Type strain
6989	M. maripaludis JJ, DSM 2067, ATCC 43000, JCM 10722, NBRC ... (type strain)
6990	M. maripaludis Delta RC, DSM 2771, ATCC 35294
160836	M. maripaludis JCM 10011, NBRC 102114, OCM 209
160837	M. maripaludis JCM 10012, OCM 363
160838	M. maripaludis JCM 10013, OCM 364

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	negative	91.1

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
5291	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

Culture temp

@ref	Growth	Type	Temperature (°C)
5291	positive	growth	37
67770	positive	growth	37

Physiology and metabolism

Oxygen tolerance

5291

Oxygen toleranceanaerobe

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Terrestrial	#Salt marsh
#Environmental	#Terrestrial	#Tidal flat
#Condition	#Saline	-

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
5291	salt marsh and intertidal sediments	Southeastern United States	USA	USA	North America
67770	Sediment on the bank of the Latham River	near Jekyll Island, GA	USA	USA	North America

Taxonmaps

69479

Global distribution of 16S sequence AF005049 (>99% sequence identity) for Methanococcus from Microbeatlas

Aquatic Samples	93
Soil Samples	9
Animal Samples	118
Plant Samples
Total Samples	220

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
5291	1	Risk group (German classification) According to TRBA 466

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM1158v1 assembly for Methanococcus maripaludis S2	complete	GCA_000011585	267377.15	2563366543	267377	96.87

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
5291	Methanococcus maripaludis 16S ribosomal RNA gene, complete sequence	AF005049	1392		39152

GC content

@ref	GC-content (mol%)	Method
67770	34.4	high performance liquid chromatography (HPLC)

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Methanococcus maripaludis S2
NCBI: GCA_000011585

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	74.70	no
125439	motility	BacteriaNetⓘ	no	67.10	no
125439	gram_stain	BacteriaNetⓘ	negative	91.10	no
125439	oxygen_tolerance	BacteriaNetⓘ	anaerobe	70.10	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Methanococcus maripaludis S2 S2
NCBI: GCA_000011585.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	65.37	no
125438	anaerobic	anaerobicⓘ	yes	88.82	yes
125438	aerobic	aerobicⓘ	no	88.47	no
125438	spore-forming	spore-formingⓘ	no	88.57	no
125438	thermophilic	thermophileⓘ	no	71.96	yes
125438	flagellated	motile2+ⓘ	no	83.50	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	First Observation of an Acetate Switch in a Methanogenic Autotroph (Methanococcus maripaludis S2).	Vo CH, Goyal N, Karimi IA, Kraft M.	Microbiol Insights	10.1177/1178636120945300	2020
Biotechnology	Microbial electrosynthesis of methane and acetate-comparison of pure and mixed cultures.	Hengsbach JN, Sabel-Becker B, Ulber R, Holtmann D.	Appl Microbiol Biotechnol	10.1007/s00253-022-12031-9	2022
Enzymology	Physiological Effects of 2-Bromoethanesulfonate on Hydrogenotrophic Pure and Mixed Cultures.	Logrono W, Nikolausz M, Harms H, Kleinsteuber S.	Microorganisms	10.3390/microorganisms10020355	2022
	Stimulatory Effect of Magnetite Nanoparticles on a Highly Enriched Butyrate-Oxidizing Consortium.	Fu L, Song T, Zhang W, Zhang J, Lu Y.	Front Microbiol	10.3389/fmicb.2018.01480	2018
Metabolism	Flux measurements and maintenance energy for carbon dioxide utilization by Methanococcus maripaludis.	Goyal N, Padhiary M, Karimi IA, Zhou Z.	Microb Cell Fact	10.1186/s12934-015-0336-z	2015
	Methanogenic archaea and sulfate reducing bacteria co-cultured on acetate: teamwork or coexistence?	Ozuolmez D, Na H, Lever MA, Kjeldsen KU, Jorgensen BB, Plugge CM.	Front Microbiol	10.3389/fmicb.2015.00492	2015
	Biofilm growth mode promotes maximum carrying capacity and community stability during product inhibition syntrophy.	Brileya KA, Camilleri LB, Zane GM, Wall JD, Fields MW.	Front Microbiol	10.3389/fmicb.2014.00693	2014
Genetics	Genome copy numbers and gene conversion in methanogenic archaea.	Hildenbrand C, Stock T, Lange C, Rother M, Soppa J.	J Bacteriol	10.1128/jb.01016-10	2011
Metabolism	Helix-hairpin-helix protein MJ1434 from Methanocaldococcus jannaschii and EndoIV homologue TTC0482 from Thermus thermophilus HB27 do not process DNA uracil residues.	Schomacher L, Smolorz S, Ciirdaeva E, Ber S, Kramer W, Fritz HJ.	Nucleic Acids Res	10.1093/nar/gkq270	2010
Metabolism	An extracellular [NiFe] hydrogenase mediating iron corrosion is encoded in a genetically unstable genomic island in Methanococcus maripaludis.	Tsurumaru H, Ito N, Mori K, Wakai S, Uchiyama T, Iino T, Hosoyama A, Ataku H, Nishijima K, Mise M, Shimizu A, Harada T, Horikawa H, Ichikawa N, Sekigawa T, Jinno K, Tanikawa S, Yamazaki J, Sasaki K, Yamazaki S, Fujita N, Harayama S.	Sci Rep	10.1038/s41598-018-33541-5	2018

References

#5291	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 14266
#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 )
#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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Methanococcus maripaludis (DSM 14266, JCM 13030, LL)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_000011585

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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