Name: Methylomusa anaerophila MMFC1
Creator: BacDive
License: http://creativecommons.org/licenses/by-nc/4.0/

Strain identifier

BacDive ID: 158647

Type strain:

Species: Methylomusa anaerophila

Strain Designation: MMFC1

Culture col. no.: JCM 31821, KCTC 15592

Strain history: <- Kazuya Watanabe, Tokyo Univ. of Pharmacy and Life Science

NCBI tax ID(s): 1930071 (species)

Section

Methylomusa anaerophila MMFC1 is an anaerobe, spore-forming, mesophilic bacterium that was isolated from microbial fuel cell inoculated with sludge obtained from a chemical plant.

Gram-negative
motile
rod-shaped
spore-forming
anaerobe
mesophilic
16S sequence
Bacteria
genome sequence

Information on the name and the taxonomic classification. Name and taxonomic classification

	Last LPSN update	07-12-2022 (DD-MM-YYYY)
	Domain	"Bacteria"
	Phylum	*Bacillota*
	Class	*Negativicutes*
	Order	*Selenomonadales*
	Family	*Sporomusaceae*
	Genus	*Methylomusa*
	Species	**Methylomusa anaerophila**
	Full Scientific Name (PNU)	Methylomusa anaerophila Amano et al. 2018

Information on morphological and physiological properties Morphology

[Ref.: #65372]	Gram stain	negative
[Ref.: #65372]	Cell length	1-4 µm
[Ref.: #65372]	Cell shape	rod-shaped
[Ref.: #65372]	Motility	yes
[Ref.: #65372]	Flagellum arrangement	peritrichous

[Ref.: #67771]	Gram stain	negative

[Ref.: #69480]	Gram stain	negative Confidence in %99.806

[Ref.: #67771]	Cell shape	rod-shaped
[Ref.: #67771]	Motility	yes
[Ref.: #67771]	Flagellum arrangement	peritrichous

[Ref.: #67771]	Cell shape	curved-shaped

[Ref.: #69480]	Motility	yes Confidence in %96.135

Information on culture and growth conditions Culture and growth conditions

		Temperature
[Ref.: #65372]	growth	30-37 °C
[Ref.: #67770]	growth	30 °C
[Ref.: #67771]	growth	30-37 °C

[Ref.: #65372]	Temperature range	mesophilic
[Ref.: #67770]	Temperature range	mesophilic
[Ref.: #67771]	Temperature range	mesophilic

	pH	Kind of pH		pH
[Ref.: #65372]			growth	5.9-6.9

Information on physiology and metabolism Physiology and metabolism

[Ref.: #67771]	Oxygen tolerance	anaerobe
[Ref.: #69480]	Oxygen tolerance	anaerobe Confidence in %100

[Ref.: #65372]	Type of spore	endospore
[Ref.: #65372]	Ability of spore formation	yes
[Ref.: #69480]	Ability of spore formation	yes Confidence in %99.447

[Ref.: #65372]	Observation	No cell aggregation in liquid medium.
[Ref.: #65372]	Observation	Produces acetate as the end metabolite from methanol, lactate and pyruvate.

	Metabolite	Utilization activity	Kind of utilization tested
[Ref.: #65372]	acetate ChEBI	-	growth
[Ref.: #65372]	arabinose ChEBI	-	builds acid from
[Ref.: #65372]	betaine ChEBI	-	growth
[Ref.: #65372]	butanol ChEBI	-	growth
[Ref.: #65372]	cellobiose ChEBI	-	builds acid from
[Ref.: #65372]	esculin ChEBI	-	hydrolysis
[Ref.: #65372]	ethanol ChEBI	-	growth
[Ref.: #65372]	fructose ChEBI	-	growth
[Ref.: #65372]	fumarate ChEBI	-	growth
[Ref.: #65372]	gelatin ChEBI	-	hydrolysis
[Ref.: #65372]	glucose ChEBI	-	builds acid from
[Ref.: #65372]	glucose ChEBI	-	growth
[Ref.: #65372]	glycerol ChEBI	-	builds acid from
[Ref.: #65372]	glycerol ChEBI	-	growth
[Ref.: #65372]	lactate ChEBI	+	growth
[Ref.: #65372]	lactose ChEBI	-	builds acid from
[Ref.: #65372]	maltose ChEBI	-	builds acid from
[Ref.: #65372]	mannitol ChEBI	-	builds acid from
[Ref.: #65372]	mannose ChEBI	-	builds acid from
[Ref.: #65372]	melezitose ChEBI	-	builds acid from
[Ref.: #65372]	methanol ChEBI	+	growth
[Ref.: #65372]	propanol ChEBI	-	growth
[Ref.: #65372]	pyruvate ChEBI	+	growth
[Ref.: #65372]	raffinose ChEBI	-	builds acid from
[Ref.: #65372]	rhamnose ChEBI	-	builds acid from
[Ref.: #65372]	salicin ChEBI	-	builds acid from
[Ref.: #65372]	sarcosine ChEBI	-	growth
[Ref.: #65372]	sorbitol ChEBI	-	builds acid from
[Ref.: #65372]	sucrose ChEBI	-	builds acid from
[Ref.: #65372]	sucrose ChEBI	-	growth
[Ref.: #65372]	trehalose ChEBI	-	builds acid from
[Ref.: #65372]	xylose ChEBI	-	builds acid from
	Only first 10 entries are displayed. Click here to see all.

	Enzymes	Enzyme	Enzyme activity	EC number
[Ref.: #65372]		catalase	-	1.11.1.6
[Ref.: #65372]		cytochrome oxidase	-	1.9.3.1

	Pathway	Enzyme coverage	Annotated reactions
	Pathway annotation	Computationally determined by
[Ref.: #66794]	coenzyme A metabolism	100	4 of 4
[Ref.: #66794]	gluconeogenesis	100	8 of 8
[Ref.: #66794]	C4 and CAM-carbon fixation	100	8 of 8
[Ref.: #66794]	ppGpp biosynthesis	100	4 of 4
[Ref.: #66794]	reductive acetyl coenzyme A pathway	100	7 of 7
[Ref.: #66794]	methylglyoxal degradation	100	5 of 5
[Ref.: #66794]	aminopropanol phosphate biosynthesis	100	2 of 2
[Ref.: #66794]	cis-vaccenate biosynthesis	100	2 of 2
[Ref.: #66794]	6-hydroxymethyl-dihydropterin diphosphate biosynthesis	100	8 of 8
[Ref.: #66794]	L-lactaldehyde degradation	100	3 of 3
[Ref.: #66794]	palmitate biosynthesis	100	22 of 22
[Ref.: #66794]	hydrogen production	100	5 of 5
[Ref.: #66794]	formaldehyde oxidation	100	3 of 3
[Ref.: #66794]	enterobactin biosynthesis	100	3 of 3
[Ref.: #66794]	anapleurotic synthesis of oxalacetate	100	1 of 1
[Ref.: #66794]	folate polyglutamylation	100	1 of 1
[Ref.: #66794]	UDP-GlcNAc biosynthesis	100	3 of 3
[Ref.: #66794]	CDP-diacylglycerol biosynthesis	100	2 of 2
[Ref.: #66794]	isoleucine metabolism	100	8 of 8
[Ref.: #66794]	sulfopterin metabolism	100	4 of 4
[Ref.: #66794]	starch degradation	90	9 of 10
[Ref.: #66794]	serine metabolism	88.89	8 of 9
[Ref.: #66794]	chorismate metabolism	88.89	8 of 9
[Ref.: #66794]	aspartate and asparagine metabolism	88.89	8 of 9
[Ref.: #66794]	lipid A biosynthesis	88.89	8 of 9
[Ref.: #66794]	ubiquinone biosynthesis	85.71	6 of 7
[Ref.: #66794]	tetrahydrofolate metabolism	85.71	12 of 14
[Ref.: #66794]	heme metabolism	85.71	12 of 14
[Ref.: #66794]	vitamin B12 metabolism	85.29	29 of 34
[Ref.: #66794]	phenylalanine metabolism	84.62	11 of 13
[Ref.: #66794]	NAD metabolism	83.33	15 of 18
[Ref.: #66794]	degradation of aromatic, nitrogen containing compounds	83.33	10 of 12
[Ref.: #66794]	glutamate and glutamine metabolism	82.14	23 of 28
[Ref.: #66794]	peptidoglycan biosynthesis	80	12 of 15
[Ref.: #66794]	threonine metabolism	80	8 of 10
[Ref.: #66794]	factor 420 biosynthesis	80	4 of 5
[Ref.: #66794]	flavin biosynthesis	80	12 of 15
[Ref.: #66794]	glycine betaine biosynthesis	80	4 of 5
[Ref.: #66794]	cellulose degradation	80	4 of 5
[Ref.: #66794]	photosynthesis	78.57	11 of 14
[Ref.: #66794]	valine metabolism	77.78	7 of 9
[Ref.: #66794]	d-mannose degradation	77.78	7 of 9
[Ref.: #66794]	vitamin B1 metabolism	76.92	10 of 13
[Ref.: #66794]	glycolysis	76.47	13 of 17
[Ref.: #66794]	alanine metabolism	75.86	22 of 29
[Ref.: #66794]	acetate fermentation	75	3 of 4
[Ref.: #66794]	glycogen biosynthesis	75	3 of 4
[Ref.: #66794]	biotin biosynthesis	75	3 of 4
[Ref.: #66794]	CMP-KDO biosynthesis	75	3 of 4
[Ref.: #66794]	pyrimidine metabolism	73.33	33 of 45
[Ref.: #66794]	cardiolipin biosynthesis	71.43	5 of 7
[Ref.: #66794]	citric acid cycle	71.43	10 of 14
[Ref.: #66794]	histidine metabolism	68.97	20 of 29
[Ref.: #66794]	degradation of sugar alcohols	68.75	11 of 16
[Ref.: #66794]	acetoin degradation	66.67	2 of 3
[Ref.: #66794]	IAA biosynthesis	66.67	2 of 3
[Ref.: #66794]	selenocysteine biosynthesis	66.67	4 of 6
[Ref.: #66794]	glycolate and glyoxylate degradation	66.67	4 of 6
[Ref.: #66794]	cysteine metabolism	66.67	12 of 18
[Ref.: #66794]	molybdenum cofactor biosynthesis	66.67	6 of 9
[Ref.: #66794]	methane metabolism	66.67	2 of 3
[Ref.: #66794]	octane oxidation	66.67	2 of 3
[Ref.: #66794]	purine metabolism	65.96	62 of 94
[Ref.: #66794]	glutathione metabolism	64.29	9 of 14
[Ref.: #66794]	sulfate reduction	61.54	8 of 13
[Ref.: #66794]	leucine metabolism	61.54	8 of 13
[Ref.: #66794]	methionine metabolism	61.54	16 of 26
[Ref.: #66794]	isoprenoid biosynthesis	61.54	16 of 26
[Ref.: #66794]	propionate fermentation	60	6 of 10
[Ref.: #66794]	glycogen metabolism	60	3 of 5
[Ref.: #66794]	vitamin K metabolism	60	3 of 5
[Ref.: #66794]	phenylacetate degradation (aerobic)	60	3 of 5
[Ref.: #66794]	lysine metabolism	59.52	25 of 42
[Ref.: #66794]	oxidative phosphorylation	59.34	54 of 91
[Ref.: #66794]	lipid metabolism	58.06	18 of 31
[Ref.: #66794]	tryptophan metabolism	57.89	22 of 38
[Ref.: #66794]	propanol degradation	57.14	4 of 7
[Ref.: #66794]	CO2 fixation in Crenarchaeota	55.56	5 of 9
[Ref.: #66794]	non-pathway related	55.26	21 of 38
[Ref.: #66794]	proline metabolism	54.55	6 of 11
[Ref.: #66794]	polyamine pathway	52.17	12 of 23
[Ref.: #66794]	pantothenate biosynthesis	50	3 of 6
[Ref.: #66794]	suberin monomers biosynthesis	50	1 of 2
[Ref.: #66794]	ribulose monophosphate pathway	50	1 of 2
[Ref.: #66794]	lactate fermentation	50	2 of 4
[Ref.: #66794]	Entner Doudoroff pathway	50	5 of 10
[Ref.: #66794]	toluene degradation	50	2 of 4
[Ref.: #66794]	dolichol and dolichyl phosphate biosynthesis	50	1 of 2
[Ref.: #66794]	1,4-dihydroxy-6-naphthoate biosynthesis	50	3 of 6
[Ref.: #66794]	ethanol fermentation	50	1 of 2
[Ref.: #66794]	butanoate fermentation	50	2 of 4
[Ref.: #66794]	vitamin E metabolism	50	2 of 4
[Ref.: #66794]	ketogluconate metabolism	50	4 of 8
[Ref.: #66794]	dTDPLrhamnose biosynthesis	50	4 of 8
[Ref.: #66794]	adipate degradation	50	1 of 2
[Ref.: #66794]	urea cycle	46.15	6 of 13
[Ref.: #66794]	arginine metabolism	45.83	11 of 24
[Ref.: #66794]	vitamin B6 metabolism	45.45	5 of 11
[Ref.: #66794]	pentose phosphate pathway	45.45	5 of 11
[Ref.: #66794]	degradation of hexoses	44.44	8 of 18
[Ref.: #66794]	nitrate assimilation	44.44	4 of 9
[Ref.: #66794]	glycine metabolism	40	4 of 10
[Ref.: #66794]	arachidonate biosynthesis	40	2 of 5
[Ref.: #66794]	coenzyme M biosynthesis	40	4 of 10
[Ref.: #66794]	metabolism of amino sugars and derivatives	40	2 of 5
[Ref.: #66794]	lipoate biosynthesis	40	2 of 5
[Ref.: #66794]	gallate degradation	40	2 of 5
[Ref.: #66794]	4-hydroxyphenylacetate degradation	40	4 of 10
[Ref.: #66794]	ethylmalonyl-CoA pathway	40	2 of 5
[Ref.: #66794]	D-cycloserine biosynthesis	40	2 of 5
[Ref.: #66794]	bacilysin biosynthesis	40	2 of 5
[Ref.: #66794]	phenylpropanoid biosynthesis	38.46	5 of 13
[Ref.: #66794]	tyrosine metabolism	35.71	5 of 14
[Ref.: #66794]	acetyl CoA biosynthesis	33.33	1 of 3
[Ref.: #66794]	cyanate degradation	33.33	1 of 3
[Ref.: #66794]	ascorbate metabolism	31.82	7 of 22
[Ref.: #66794]	phosphatidylethanolamine bioynthesis	30.77	4 of 13
[Ref.: #66794]	phenol degradation	30	6 of 20
[Ref.: #66794]	degradation of pentoses	28.57	8 of 28
[Ref.: #66794]	aclacinomycin biosynthesis	28.57	2 of 7
[Ref.: #66794]	metabolism of disaccharids	27.27	3 of 11
[Ref.: #66794]	3-phenylpropionate degradation	26.67	4 of 15
[Ref.: #66794]	alginate biosynthesis	25	1 of 4
[Ref.: #66794]	cyclohexanol degradation	25	1 of 4
[Ref.: #66794]	carnitine metabolism	25	2 of 8
[Ref.: #66794]	methanogenesis from CO2	25	3 of 12
[Ref.: #66794]	degradation of sugar acids	24	6 of 25
[Ref.: #66794]	allantoin degradation	22.22	2 of 9
		Only first 10 entries are displayed. Click here to see all.

Information on isolation source, the sampling and environmental conditions Isolation, sampling and environmental information

[Ref.: #65372]	Sample type/isolated from	microbial fuel cell inoculated with sludge obtained from a chemical plant
[Ref.: #65372]	Geographic location (country and/or sea, region)	Gifu
[Ref.: #65372]	Country	Japan
[Ref.: #65372]	Country ISO 3 Code	JPN
[Ref.: #65372]	Continent	Asia
[Ref.: #65372]	Enrichment culture	agar plates
[Ref.: #65372]	Enrichment culture composition	supplemented with 100 mM methanol (the methanol medium). Agar plates also contained Difco Bactoagar (1.5 %) and CaCO 3 (0.5 %).
[Ref.: #65372]	Enrichment culture duration	1 month
[Ref.: #65372]	Enrichment culture temperature	30 ̊C
[Ref.: #65372]	Isolation/enrichment procedure	After electric output from the MFC had sufficiently increased (approximately 2 months after commencing the operation), a piece of the anode (approximately 1 cm2) was cut off and put in a test tube containing 5 ml mineral medium. After the tube was shaken using a vortex mixer, the microbial suspension was serially diluted and streaked on agar plates. The plates were placed in anaerobic bags and incubated at 30°C. The above procedures were conducted in a glove box (Bactron I; Shellab).

[Ref.: #67770]	Sample type/isolated from	Microbial fuel cell inoculated with sludge obtained from a chemical plant in Gifu
[Ref.: #67770]	Country	Japan
[Ref.: #67770]	Country ISO 3 Code	JPN
[Ref.: #67770]	Continent	Asia

[Ref.: #67771]	Sample type/isolated from	From microbial fuel cell inoculated with sludge obtained from a chemical plant
[Ref.: #67771]	Geographic location (country and/or sea, region)	Gifu
[Ref.: #67771]	Country	Japan
[Ref.: #67771]	Country ISO 3 Code	JPN
[Ref.: #67771]	Continent	Asia
* marker position based on {}

Isolation sources categories

#Engineered	#Industrial	#Engineered product
#Engineered	#Waste	#Industrial waste
#Engineered	#Waste	#Sewage sludge
#Host	#Microbial	-

What are isolation sources categories?

[Ref.: #69479]

Global distribution of 16S sequence LC203074 (>99% sequence identity) for Methylomusa anaerophila subclade from Microbeatlas

Aquatic Samples	102
Soil Samples	104
Animal Samples	247
Plant Samples	10
Total Samples	463

Information on genomic background e.g. entries in nucleic sequence databass Sequence information

16S Sequence information:

	Sequence accession description	Seq. accession number	Sequence length (bp)	Sequence database	Associated NCBI tax ID
[Ref.: #65372]	16S rRNA gene sequence	LC203074		GenBank

Genome sequence information:

	Sequence accession description	Seq. accession number	Assembly level	Sequence database	Associated NCBI tax ID
[Ref.: #67771]	Methylomusa anaerophila DNA, complete genome	AP018449		ENA	1930071 tax ID
[Ref.: #66792]	Methylomusa anaerophila MMFC1	GCA_003966895	complete	GenBank	1930071 tax ID	*
[Ref.: #66792]	Methylomusa anaerophila MMFC1	2837211827	complete	JGI IMG/M	1930071 tax ID	*

[Ref.: #67771]

GC-content

46.6 mol%

genome sequence analysis

Data predicted using genome information as a basis Genome-based predictions

	Trait	Prediction	Confidence in %	In training data
	Predictions from Diaspora project based on: Methylomusa anaerophila MMFC1 NCBI: GCA_003966895.1
[Ref.: #69480]	anaerobic	yes	100	yes
[Ref.: #69480]	gram-positive	no	99.806	no
[Ref.: #69480]	spore-forming	yes	99.447	no
[Ref.: #69480]	thermophile	no	99.957	yes
[Ref.: #69480]	motile	yes	96.135	no

	Trait	Prediction	Confidence in %	In training data
	Predictions from GenomeNet Sporulation v. 1 based on: Methylomusa anaerophila MMFC1 NCBI: GCA_003966895.1
[Ref.: #69481]	spore-forming	yes	54	no

Availability in culture collections External links

[Ref.: #65372]

Culture collection no.

JCM 31821, KCTC 15592

Literature:

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Methylomusa anaerophila gen. nov., sp. nov., an anaerobic methanol-utilizing bacterium isolated from a microbial fuel cell.	Amano N, Yamamuro A, Miyahara M, Kouzuma A, Abe T, Watanabe K	Int J Syst Evol Microbiol	10.1099/ijsem.0.002635	2018	*

References

#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 )

#65372

Nanako Amano, Ayaka Yamamuro, Morio Miyahara, Atsushi Kouzuma, Takashi Abe, Kazuya Watanabe: Methylomusa anaerophila gen. nov., sp. nov., an anaerobic methanol-utilizing bacterium isolated from a microbial fuel cell. IJSEM 68: 1118 - 1122 2018 ( DOI 10.1099/ijsem.0.002635 , PubMed 29458677 )

#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) .

#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;
#67771 Korean Collection for Type Cultures (KCTC) ; Curators of the KCTC;

#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 .

#69480

Julia Koblitz, Joaquim Sardà, Lorenz Christian Reimer, Boyke Bunk, Jörg Overmann: Predictions based on genome sequence made in the Diaspora project (Digital Approaches for the Synthesis of Poorly Accessible Biodiversity Information) .

#69481

Xiao-Yin To, René Mreches, Martin Binder, Alice C. McHardy, Philipp C. Münch: Predictions based on the model GenomeNet Sporulation v. 1 . ( DOI 10.21203/rs.3.rs-2527258/v1 )

* These data were automatically processed and therefore are not curated

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