Methanosarcina lacustris (DSM 10334, Z-7289)

Name: Methanosarcina lacustris (DSM 10334, Z-7289)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 7129

Type strain

Strain Designation Z-7289

Culture col. no. DSM 10334 Z-7289

NCBI tax ID(s) 170861

Special Collections DSMZ

Links

Methanosarcina lacustris Z-7289 is an anaerobe, psychrophilic prokaryote that was isolated from swamp.

anaerobe psychrophilic genome sequence

Name and taxonomic classification

SI-ID 399783

DSM 10334

@ref 20215

Last LPSN update 2025-12-16 09:48:30

Domain Methanobacteriati

Phylum Methanobacteriota

Class Methanosarcinia

Order Methanosarcinales

Family Methanosarcinaceae

Genus Methanosarcina

Species Methanosarcina lacustris

Full scientific name Methanosarcina lacustris Simankova et al. 2002

BacDive ID	Other strains from **Methanosarcina lacustris** (1)	Type strain
7130	M. lacustris ZS, DSM 13486, VKM B-2268 (type strain)

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	negative	98.1

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
3910	METHANOSARCINA BARKERI MEDIUM (DSMZ Medium 120a)		Medium recipe at MediaDive	Name: METHANOSARCINA BARKERI MEDIUM (DSMZ Medium 120a; with strain-specific modifications) Composition: Methanol 3.86719 g/l NaCl 2.19727 g/l NaHCO3 1.95312 g/l Yeast extract 1.95312 g/l Casitone 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 Thiamine HCl 4.88281e-05 g/l Riboflavin 4.88281e-05 g/l Calcium D-(+)-pantothenate 4.88281e-05 g/l Nicotinic acid 4.88281e-05 g/l p-Aminobenzoic acid 4.88281e-05 g/l (DL)-alpha-Lipoic 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
3910	positive	growth	20	psychrophilic

Physiology and metabolism

Oxygen tolerance

3910

Oxygen toleranceanaerobe

Spore formation

@ref	Spore formation	Confidence
125439		97.7

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Terrestrial	#Wetland (Swamp)

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
3910	swamp	near Abramtsevo settlement	Russia	RUS	Europe

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
3910	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	ASM97026v1 assembly for Methanosarcina lacustris Z-7289	complete	GCA_000970265	1434111.4	2630968805	1434111	94.81

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Methanosarcina lacustris Z-7289
IMG: 2630968805

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	97.70	no
125439	motility	BacteriaNetⓘ	no	76.60	no
125439	gram_stain	BacteriaNetⓘ	negative	98.10	no
125439	oxygen_tolerance	BacteriaNetⓘ	anaerobe	81.40	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Methanosarcina lacustris Z-7289 Z-7289
NCBI: GCA_000970265.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	63.84	no
125438	anaerobic	anaerobicⓘ	yes	85.15	no
125438	aerobic	aerobicⓘ	no	90.50	yes
125438	spore-forming	spore-formingⓘ	no	87.00	no
125438	thermophilic	thermophileⓘ	no	84.12	no
125438	flagellated	motile2+ⓘ	no	83.08	no

Literature

References

#3910	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 10334
#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) .
#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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