Methanosarcina barkeri (DSM 1538, ATCC 43241, OCM 35)

Name: Methanosarcina barkeri (DSM 1538, ATCC 43241, OCM 35)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 7091

Type strain

Strain Designation 227

Culture col. no. DSM 1538 ATCC 43241 OCM 35 227

NCBI tax ID(s) 2208

Special Collections DSMZ

Links

Methanosarcina barkeri 227 is an anaerobe, mesophilic prokaryote that was isolated from sewage sludge digester.

anaerobe mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 41733

ATCC 43241,DSM 1538

@ref 20215

Last LPSN update 2025-12-16 09:48:29

Domain Methanobacteriati

Phylum Methanobacteriota

Class Methanosarcinia

Order Methanosarcinales

Family Methanosarcinaceae

Genus Methanosarcina

Species Methanosarcina barkeri

Full scientific name Methanosarcina barkeri Schnellen 1947 (Approved Lists 1980)

BacDive ID	Other strains from **Methanosarcina barkeri** (4)	Type strain
7087	M. barkeri MS, DSM 800, ATCC 43569, JCM 10043, OCM 38, ... (type strain)
7090	M. barkeri DSM 1311, OCM 27
7093	M. barkeri DSM 2948, OCM 86
7094	M. barkeri Wiesmoor, DSM 8687, OCM 89

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	negative	99.3

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
815	METHANOSARCINA MEDIUM (DSMZ Medium 120)		Medium recipe at MediaDive	Name: METHANOSARCINA MEDIUM (DSMZ Medium 120) Composition: Methanol 15.4688 g/l Na-acetate 2.44141 g/l NaCl 2.19727 g/l NaHCO3 1.95312 g/l Casitone 1.95312 g/l Yeast extract 1.95312 g/l NH4Cl 0.488281 g/l MgSO4 x 7 H2O 0.488281 g/l K2HPO4 0.341797 g/l Na2S x 9 H2O 0.292969 g/l L-Cysteine HCl x H2O 0.292969 g/l CaCl2 x 2 H2O 0.244141 g/l KH2PO4 0.224609 g/l HCl 0.00244141 g/l FeSO4 x 7 H2O 0.00195312 g/l FeCl2 x 4 H2O 0.00146484 g/l Sodium resazurin 0.000488281 g/l CoCl2 x 6 H2O 0.000185547 g/l Pyridoxine hydrochloride 9.76563e-05 g/l MnCl2 x 4 H2O 9.76563e-05 g/l ZnCl2 6.83594e-05 g/l Riboflavin 4.88281e-05 g/l Calcium D-(+)-pantothenate 4.88281e-05 g/l Nicotinic acid 4.88281e-05 g/l (DL)-alpha-Lipoic acid 4.88281e-05 g/l Thiamine HCl 4.88281e-05 g/l p-Aminobenzoic acid 4.88281e-05 g/l Na2MoO4 x 2 H2O 3.51562e-05 g/l NiCl2 x 6 H2O 2.34375e-05 g/l Folic acid 1.95312e-05 g/l Biotin 1.95312e-05 g/l H3BO3 5.85938e-06 g/l CuCl2 x 2 H2O 1.95313e-06 g/l Vitamin B12 9.76563e-07 g/l H2SO4 Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
815	positive	growth	37	mesophilic

Physiology and metabolism

Oxygen tolerance

815

Oxygen toleranceanaerobe

Spore formation

@ref	Spore formation	Confidence
125439		96.5

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Engineered	#Biodegradation	-
#Engineered	#Waste	#Sewage sludge

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
815	sewage sludge digester	California, Los Angeles	USA	USA	North America

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
815	1	Risk group (German classification) According to TRBA 466

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	IMG accession	NCBI tax ID	Score
66792	ASM97006v1 assembly for Methanosarcina barkeri 227	complete	GCA_000970065	2630968686	1434106	96.25

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
20218	Methanosarcina barkeri 16S ribosomal RNA	M59144	1478		2208

GC content

815

GC-content (mol%)38.8

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Methanosarcina barkeri 227
IMG: 2630968686

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	96.50	no
125439	motility	BacteriaNetⓘ	no	81.80	no
125439	gram_stain	BacteriaNetⓘ	negative	99.30	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	74.70	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Methanosarcina barkeri 227 227
NCBI: GCA_000970065.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	68.62	no
125438	anaerobic	anaerobicⓘ	yes	81.83	yes
125438	aerobic	aerobicⓘ	no	90.86	yes
125438	spore-forming	spore-formingⓘ	no	80.29	no
125438	thermophilic	thermophileⓘ	no	88.00	yes
125438	flagellated	motile2+ⓘ	no	84.00	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Metabolism	Extracellular electron uptake in Methanosarcinales is independent of multiheme c-type cytochromes.	Yee MO, Rotaru AE.	Sci Rep	10.1038/s41598-019-57206-z	2020
Biotechnology	Quantitative analysis of amino acid excretion by Methanothermobacter marburgensis under N₂-fixing conditions.	Reischl B, Schupp B, Palabikyan H, Steger-Mahnert B, Fink C, Rittmann SKR.	Sci Rep	10.1038/s41598-025-87686-1	2025
Metabolism	Effect of substrate concentration on carbon isotope fractionation during acetoclastic methanogenesis by Methanosarcina barkeri and M. acetivorans and in rice field soil.	Goevert D, Conrad R.	Appl Environ Microbiol	10.1128/aem.02680-08	2009
Metabolism	Tetrachloromethane-Degrading Bacterial Enrichment Cultures and Isolates from a Contaminated Aquifer.	Penny C, Gruffaz C, Nadalig T, Cauchie HM, Vuilleumier S, Bringel F.	Microorganisms	10.3390/microorganisms3030327	2015
	Analysis of genes encoding an alternative nitrogenase in the archaeon Methanosarcina barkeri 227.	Chien YT, Auerbuch V, Brabban AD, Zinder SH.	J Bacteriol	10.1128/jb.182.11.3247-3253.2000	2000
Metabolism	Mass-spectrometric studies of the interrelations among hydrogenase, carbon monoxide dehydrogenase, and methane-forming activities in pure and mixed cultures of Desulfovibrio vulgaris, Desulfovibrio desulfuricans, and Methanosarcina barkeri.	Rajagopal BS, Lespinat PA, Fauque G, LeGall J, Berlier YM.	Appl Environ Microbiol	10.1128/aem.55.9.2123-2129.1989	1989
	Interactions between nitrogen fixation and osmoregulation in the methanogenic archaeon methanosarcina barkeri 227	Brabban AD, Orcutt EN, Zinder SH.	Appl Environ Microbiol	10.1128/aem.65.3.1222-1227.1999	1999
Metabolism	Interactions between the promoter regions of nitrogenase structural genes (nifHDK2) and DNA-binding proteins from N2- and ammonium-grown cells of the archaeon Methanosarcina barkeri 227.	Chien Y, Helmann JD, Zinder SH.	J Bacteriol	10.1128/jb.180.10.2723-2728.1998	1998
Phylogeny	Cloning, functional organization, transcript studies, and phylogenetic analysis of the complete nitrogenase structural genes (nifHDK2) and associated genes in the archaeon Methanosarcina barkeri 227.	Chien YT, Zinder SH.	J Bacteriol	10.1128/jb.178.1.143-148.1996	1996
Metabolism	Carbon isotope fractionation of 11 acetogenic strains grown on H2 and CO2.	Blaser MB, Dreisbach LK, Conrad R.	Appl Environ Microbiol	10.1128/aem.03203-12	2013
	Cloning, DNA sequencing, and characterization of a nifD-homologous gene from the archaeon Methanosarcina barkeri 227 which resembles nifD1 from the eubacterium Clostridium pasteurianum.	Chien YT, Zinder SH.	J Bacteriol	10.1128/jb.176.21.6590-6598.1994	1994
	Spontaneous Disaggregation of Methanosarcina mazei S-6 and Its Use in the Development of Genetic Techniques for Methanosarcina spp.	Harris JE.	Appl Environ Microbiol	10.1128/aem.53.10.2500-2504.1987	1987
	Distribution of polyamines in methanogenic bacteria.	Scherer P, Kneifel H.	J Bacteriol	10.1128/jb.154.3.1315-1322.1983	1983
Metabolism	Inhibition of methanogenesis and carbon metabolism in Methanosarcina sp. by cyanide.	Smith MR, Lequerica JL, Hart MR.	J Bacteriol	10.1128/jb.162.1.67-71.1985	1985
	Disaggregation of Methanosarcina spp. and Growth as Single Cells at Elevated Osmolarity.	Sowers KR, Boone JE, Gunsalus RP.	Appl Environ Microbiol	10.1128/aem.59.11.3832-3839.1993	1993
	Compilation of small ribosomal subunit RNA structures.	Neefs JM, Van de Peer Y, De Rijk P, Chapelle S, De Wachter R.	Nucleic Acids Res	10.1093/nar/21.13.3025	1993
	Hybrid bioinorganic approach to solar-to-chemical conversion.	Nichols EM, Gallagher JJ, Liu C, Su Y, Resasco J, Yu Y, Sun Y, Yang P, Chang MC, Chang CJ.	Proc Natl Acad Sci U S A	10.1073/pnas.1508075112	2015
	How stable is stable? Function versus community composition.	Fernandez A, Huang S, Seston S, Xing J, Hickey R, Criddle C, Tiedje J.	Appl Environ Microbiol	10.1128/aem.65.8.3697-3704.1999	1999

References

#815	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 1538
#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) .
#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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Methanosarcina barkeri (DSM 1538, ATCC 43241, OCM 35)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Isolation, sampling and environmental information

Isolation source categories

Isolation

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_000970065

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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