Mycetocola manganoxydans (CCTCC AB 209002, KCTC 19753, MB1-14)

Name: Mycetocola manganoxydans (CCTCC AB 209002, KCTC 19753, MB1-14)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 133809

Type strain

Strain Designation MB1-14

Culture col. no. CCTCC AB 209002 KCTC 19753 MB1-14 JCM 19955

NCBI tax ID(s) 699879

Special Collections JCM KCTC Literature strains

History JCM <-- KCTC 19753 <-- X. Luo et al. MB1-14. KCTC <- X Luo, CCTCC, Wuhan Uviv., China

Links

Mycetocola manganoxydans MB1-14 is an aerobe, Gram-positive, rod-shaped bacterium that was isolated from Desert.

Gram-positive rod-shaped aerobe genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 286433

KCTC 19753

@ref 20215

Last LPSN update 2026-05-29 08:38:11

Domain Bacteria

Phylum Actinomycetota

Class Actinomycetes

Order Micrococcales

Family Microbacteriaceae

Genus Mycetocola

Species Mycetocola manganoxydans

Full scientific name Mycetocola manganoxydans Luo et al. 2012

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Confidence
30565	positive	0.35 µm	0.3 µm	rod-shaped
67771				rod-shaped
67771				coccus-shaped
67771	positive
125438					93.5
125438	positive				92.948

Pigmentation

30565

Productionyes

Culture and growth conditions

Culture temp

@ref	Growth	Type	Temperature (°C)
30565	positive	growth	20-35
30565	positive	optimum	30
67770	positive	growth	28
67771	positive	growth	30

Culture pH

@ref	Ability	Type	PH	PH range
30565	positive	growth	07-10	alkaliphile

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
30565	aerobe
67771	aerobe
125439	obligate aerobe	95.258

Spore formation

@ref	Spore formation	Confidence
30565
125439		94.129

Halophily

@ref	Salt	Growth	Tested relation	Concentration
30565	NaCl	positive	growth	<5 %

Observation

@ref	Observation
67770	quinones: MK-10
67771	quinones: MK-10(70%), MK-11(20%), MK-9(10%)

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
30565	18222 ChEBI	xylose	+	carbon source

Enzymes

@ref	Value	Activity	Ec
30565	acid phosphatase	+	3.1.3.2
30565	alkaline phosphatase	+	3.1.3.1
30565	catalase	+	1.11.1.6

Pathway annotation

Computationally determined by

@ref	pathway	enzyme coverage	annotated reactions
66794	acetate fermentation	100	4 of 4
66794	palmitate biosynthesis	100	22 of 22
66794	coenzyme A metabolism	100	4 of 4
66794	formaldehyde oxidation	100	3 of 3
66794	vitamin K metabolism	100	5 of 5
66794	cardiolipin biosynthesis	100	7 of 7
66794	ribulose monophosphate pathway	100	2 of 2
66794	adipate degradation	100	2 of 2
66794	pentose phosphate pathway	100	11 of 11
66794	starch degradation	100	10 of 10
66794	methylglyoxal degradation	100	5 of 5
66794	threonine metabolism	100	10 of 10
66794	cis-vaccenate biosynthesis	100	2 of 2
66794	ppGpp biosynthesis	100	4 of 4
66794	cellulose degradation	100	5 of 5
66794	folate polyglutamylation	100	1 of 1
66794	suberin monomers biosynthesis	100	2 of 2
66794	teichoic acid biosynthesis	100	1 of 1
66794	anapleurotic synthesis of oxalacetate	100	1 of 1
66794	UDP-GlcNAc biosynthesis	100	3 of 3
66794	CDP-diacylglycerol biosynthesis	100	2 of 2
66794	Entner Doudoroff pathway	90	9 of 10
66794	chorismate metabolism	88.89	8 of 9
66794	flavin biosynthesis	86.67	13 of 15
66794	pyrimidine metabolism	86.67	39 of 45
66794	glutamate and glutamine metabolism	85.71	24 of 28
66794	NAD metabolism	83.33	15 of 18
66794	metabolism of disaccharids	81.82	9 of 11
66794	ethylmalonyl-CoA pathway	80	4 of 5
66794	phenylacetate degradation (aerobic)	80	4 of 5
66794	peptidoglycan biosynthesis	80	12 of 15
66794	lipoate biosynthesis	80	4 of 5
66794	glycogen metabolism	80	4 of 5
66794	alanine metabolism	79.31	23 of 29
66794	citric acid cycle	78.57	11 of 14
66794	photosynthesis	78.57	11 of 14
66794	heme metabolism	78.57	11 of 14
66794	valine metabolism	77.78	7 of 9
66794	d-mannose degradation	77.78	7 of 9
66794	serine metabolism	77.78	7 of 9
66794	glycolysis	76.47	13 of 17
66794	butanoate fermentation	75	3 of 4
66794	gluconeogenesis	75	6 of 8
66794	sulfopterin metabolism	75	3 of 4
66794	isoleucine metabolism	75	6 of 8
66794	glycogen biosynthesis	75	3 of 4
66794	purine metabolism	73.4	69 of 94
66794	propanol degradation	71.43	5 of 7
66794	4-hydroxyphenylacetate degradation	70	7 of 10
66794	leucine metabolism	69.23	9 of 13
66794	phenylalanine metabolism	69.23	9 of 13
66794	tryptophan metabolism	68.42	26 of 38
66794	non-pathway related	68.42	26 of 38
66794	acetoin degradation	66.67	2 of 3
66794	aspartate and asparagine metabolism	66.67	6 of 9
66794	octane oxidation	66.67	2 of 3
66794	CO2 fixation in Crenarchaeota	66.67	6 of 9
66794	acetyl CoA biosynthesis	66.67	2 of 3
66794	L-lactaldehyde degradation	66.67	2 of 3
66794	histidine metabolism	65.52	19 of 29
66794	isoprenoid biosynthesis	65.38	17 of 26
66794	tetrahydrofolate metabolism	64.29	9 of 14
66794	oxidative phosphorylation	63.74	58 of 91
66794	d-xylose degradation	63.64	7 of 11
66794	6-hydroxymethyl-dihydropterin diphosphate biosynthesis	62.5	5 of 8
66794	ketogluconate metabolism	62.5	5 of 8
66794	C4 and CAM-carbon fixation	62.5	5 of 8
66794	arginine metabolism	62.5	15 of 24
66794	lipid metabolism	61.29	19 of 31
66794	degradation of pentoses	60.71	17 of 28
66794	D-cycloserine biosynthesis	60	3 of 5
66794	myo-inositol biosynthesis	60	6 of 10
66794	metabolism of amino sugars and derivatives	60	3 of 5
66794	phenol degradation	60	12 of 20
66794	ubiquinone biosynthesis	57.14	4 of 7
66794	reductive acetyl coenzyme A pathway	57.14	4 of 7
66794	proline metabolism	54.55	6 of 11
66794	urea cycle	53.85	7 of 13
66794	lysine metabolism	52.38	22 of 42
66794	ethanol fermentation	50	1 of 2
66794	kanosamine biosynthesis II	50	1 of 2
66794	phenylmercury acetate degradation	50	1 of 2
66794	glycine metabolism	50	5 of 10
66794	pantothenate biosynthesis	50	3 of 6
66794	quinate degradation	50	1 of 2
66794	glycolate and glyoxylate degradation	50	3 of 6
66794	tyrosine metabolism	50	7 of 14
66794	vitamin E metabolism	50	2 of 4
66794	propionate fermentation	50	5 of 10
66794	cysteine metabolism	50	9 of 18
66794	degradation of sugar acids	48	12 of 25
66794	3-phenylpropionate degradation	46.67	7 of 15
66794	methionine metabolism	46.15	12 of 26
66794	ascorbate metabolism	45.45	10 of 22
66794	degradation of hexoses	44.44	8 of 18
66794	polyamine pathway	43.48	10 of 23
66794	glutathione metabolism	42.86	6 of 14
66794	degradation of aromatic, nitrogen containing compounds	41.67	5 of 12
66794	factor 420 biosynthesis	40	2 of 5
66794	3-chlorocatechol degradation	40	2 of 5
66794	arachidonate biosynthesis	40	2 of 5
66794	gallate degradation	40	2 of 5
66794	phenylpropanoid biosynthesis	38.46	5 of 13
66794	androgen and estrogen metabolism	37.5	6 of 16
66794	degradation of sugar alcohols	37.5	6 of 16
66794	dTDPLrhamnose biosynthesis	37.5	3 of 8
66794	carotenoid biosynthesis	36.36	8 of 22
66794	IAA biosynthesis	33.33	1 of 3
66794	lipid A biosynthesis	33.33	3 of 9
66794	cyanate degradation	33.33	1 of 3
66794	sphingosine metabolism	33.33	2 of 6
66794	enterobactin biosynthesis	33.33	1 of 3
66794	sulfoquinovose degradation	33.33	1 of 3
66794	selenocysteine biosynthesis	33.33	2 of 6
66794	vitamin B1 metabolism	30.77	4 of 13
66794	bile acid biosynthesis, neutral pathway	29.41	5 of 17
66794	benzoyl-CoA degradation	28.57	2 of 7
66794	dolichyl-diphosphooligosaccharide biosynthesis	27.27	3 of 11
66794	cholesterol biosynthesis	27.27	3 of 11
66794	cyclohexanol degradation	25	1 of 4
66794	lactate fermentation	25	1 of 4
66794	carnitine metabolism	25	2 of 8
66794	toluene degradation	25	1 of 4
66794	biotin biosynthesis	25	1 of 4
66794	CMP-KDO biosynthesis	25	1 of 4
66794	catecholamine biosynthesis	25	1 of 4
66794	phosphatidylethanolamine bioynthesis	23.08	3 of 13
66794	sulfate reduction	23.08	3 of 13
66794	nitrate assimilation	22.22	2 of 9
66794	arachidonic acid metabolism	22.22	4 of 18
66794	4-hydroxymandelate degradation	22.22	2 of 9

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Terrestrial	#Desert

Isolation

@ref	Sample type	Country	Country ISO 3 Code	Continent
30565	Desert
67770	Taklamakan desert of Xinjiang	China	CHN	Asia
67771	From soil of Taklamakan desert in Xinjiang	China	CHN	Asia

Taxonmaps

69479

Global distribution of 16S sequence GU217690 (>99% sequence identity) for Mycetocola from Microbeatlas

Aquatic Samples	814
Soil Samples	2131
Animal Samples	1514
Plant Samples	273
Total Samples	4732

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM1465175v1 assembly for Mycetocola manganoxydans KCTC 19753	scaffold	GCA_014651755	699879.4	8065910473	699879	69.3
67770	ASM366754v1 assembly for Mycetocola manganoxydans CCTCC AB209002	contig	GCA_003667545	699879.3	2866447923	699879	68.83

16S sequences

@ref	Description	Accession	Length	NCBI tax ID
30565	Mycetocola manganoxydans strain MB1-14 16S ribosomal RNA gene, partial sequence	GU217690	1391	699879
124043	Mycetocola manganoxydans strain KCTC 19753 16S ribosomal RNA gene, partial sequence.	MT759884	1091	699879
124043	Mycetocola manganoxydans strain KCTC 19753 16S ribosomal RNA gene, partial sequence.	MT758076	1091	699879

GC content

@ref	GC-content (mol%)	Method
30565	65.2-66
67771	65.2
67770	65.2	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: ASM1465175v1 assembly for Mycetocola manganoxydans KCTC 19753
BV-BRC: 699879.4

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	95.26	no
125439	gram_stain	BacteriaNetⓘ	positive	77.51	no
125439	spore_formation	BacteriaNetⓘ	no	94.13	no
125439	motility	BacteriaNetⓘ	no	62.28	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Mycetocola manganoxydans KCTC 19753
NCBI: GCA_014651755.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	92.95	yes
125438	anaerobic	anaerobicⓘ	no	97.26	yes
125438	aerobic	aerobicⓘ	yes	89.21	yes
125438	spore-forming	spore-formingⓘ	no	77.03	yes
125438	thermophilic	thermophileⓘ	no	96.93	yes
125438	flagellated	motile2+ⓘ	no	93.50	yes

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Mycetocola miduiensis sp. nov., a psychrotolerant bacterium isolated from Midui glacier.	Zhu L, Liu Q, Liu H, Zhou Y, Xin Y, Dong X	Int J Syst Evol Microbiol	10.1099/ijs.0.047985-0	2013
Phylogeny	Mycetocola manganoxydans sp. nov., an actinobacterium isolated from the Taklamakan desert.	Luo X, Wang J, Zeng XC, Wang Y, Zhou L, Nie Y, Dai J, Fang C	Int J Syst Evol Microbiol	10.1099/ijs.0.038877-0	2012
Phylogeny	Mycetocola zhadangensis sp. nov., isolated from snow.	Shen L, Liu Y, Yao T, Kang S, Wang Y, Jiao N, Liu H, Zhou Y, Xu B, Liu X	Int J Syst Evol Microbiol	10.1099/ijs.0.047159-0	2013

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 )
#26896	IJSEM 2967 2012 ( DOI 10.1099/ijs.0.038877-0 , PubMed 22286906 )
#30565	Barberan A, Caceres Velazquez H, Jones S, Fierer N.: Hiding in Plain Sight: Mining Bacterial Species Records for Phenotypic Trait Information. mSphere 2: 2017 ( DOI 10.1128/mSphere.00237-17 , PubMed 28776041 ) - originally annotated from #26896
#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 .
#124043	Isabel Schober, Julia Koblitz: Data extracted from sequence databases, automatically matched based on designation and taxonomy .
#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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Mycetocola manganoxydans (CCTCC AB 209002, KCTC 19753, MB1-14)

Name and taxonomic classification

Morphology

Cell morphology

Pigmentation

Culture and growth conditions

Culture temp

Culture pH

Physiology and metabolism

Oxygen tolerance

Spore formation

Halophily

Observation

Metabolite utilization

Enzymes

Pathway annotation

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_014651755

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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