Alkalimonas amylolytica (DSM 18337, AS 1.3430, CGMCC 1.3430)

Name: Alkalimonas amylolytica (DSM 18337, AS 1.3430, CGMCC 1.3430)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 17893

Type strain

Strain Designation N10

Culture col. no. DSM 18337 AS 1.3430 CGMCC 1.3430 N10

NCBI tax ID(s) 152573

Special Collections DSMZ

History DSMZ <- Y. Ma and Y. Xue; N10 <- Y. Ma; N10

Links

Alkalimonas amylolytica N10 is a bacterium that was isolated from soil.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 297121

CGMCC 1.3430,DSM 18337

@ref 20215

Last LPSN update 2026-05-29 08:29:07

Domain Bacteria

Phylum Pseudomonadota

Class Gammaproteobacteria

Order [Gammaproteobacteria, not assigned to order]

Family [Gammaproteobacteria, not assigned to family]

Genus Alkalimonas

Species Alkalimonas amylolytica

Full scientific name Alkalimonas amylolytica Ma et al. 2007

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	negative	96.043
125438	negative	98.5

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
7512	BOGORIELLA MEDIUM (DSMZ Medium 785)		Medium recipe at MediaDive	Name: BOGORIELLA MEDIUM (DSMZ Medium 785; with strain-specific modifications) Composition: NaCl 30.0 g/l Glucose 10.0 g/l Na2CO3 10.0 g/l Yeast extract 5.0 g/l Peptone 5.0 g/l KH2PO4 1.0 g/l MgSO4 x 7 H2O 0.2 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
7512	positive	growth	37

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	93.601

Spore formation

@ref	Spore formation	Confidence
125439		98.353

Pathway annotation

Computationally determined by

@ref	pathway	enzyme coverage	annotated reactions
66794	biotin biosynthesis	100	4 of 4
66794	ethanol fermentation	100	2 of 2
66794	adipate degradation	100	2 of 2
66794	cis-vaccenate biosynthesis	100	2 of 2
66794	palmitate biosynthesis	100	22 of 22
66794	gluconeogenesis	100	8 of 8
66794	ppGpp biosynthesis	100	4 of 4
66794	ubiquinone biosynthesis	100	7 of 7
66794	formaldehyde oxidation	100	3 of 3
66794	valine metabolism	100	9 of 9
66794	coenzyme A metabolism	100	4 of 4
66794	anapleurotic synthesis of oxalacetate	100	1 of 1
66794	folate polyglutamylation	100	1 of 1
66794	UDP-GlcNAc biosynthesis	100	3 of 3
66794	octane oxidation	100	3 of 3
66794	CDP-diacylglycerol biosynthesis	100	2 of 2
66794	teichoic acid biosynthesis	100	1 of 1
66794	alanine metabolism	93.1	27 of 29
66794	photosynthesis	92.86	13 of 14
66794	tetrahydrofolate metabolism	92.86	13 of 14
66794	phenylalanine metabolism	92.31	12 of 13
66794	proline metabolism	90.91	10 of 11
66794	Entner Doudoroff pathway	90	9 of 10
66794	threonine metabolism	90	9 of 10
66794	glutamate and glutamine metabolism	89.29	25 of 28
66794	lipid A biosynthesis	88.89	8 of 9
66794	aspartate and asparagine metabolism	88.89	8 of 9
66794	chorismate metabolism	88.89	8 of 9
66794	isoleucine metabolism	87.5	7 of 8
66794	C4 and CAM-carbon fixation	87.5	7 of 8
66794	glutathione metabolism	85.71	12 of 14
66794	propanol degradation	85.71	6 of 7
66794	leucine metabolism	84.62	11 of 13
66794	NAD metabolism	83.33	15 of 18
66794	pentose phosphate pathway	81.82	9 of 11
66794	methionine metabolism	80.77	21 of 26
66794	starch degradation	80	8 of 10
66794	metabolism of amino sugars and derivatives	80	4 of 5
66794	cellulose degradation	80	4 of 5
66794	methylglyoxal degradation	80	4 of 5
66794	glycogen metabolism	80	4 of 5
66794	heme metabolism	78.57	11 of 14
66794	citric acid cycle	78.57	11 of 14
66794	molybdenum cofactor biosynthesis	77.78	7 of 9
66794	pyrimidine metabolism	77.78	35 of 45
66794	d-mannose degradation	77.78	7 of 9
66794	CO2 fixation in Crenarchaeota	77.78	7 of 9
66794	serine metabolism	77.78	7 of 9
66794	butanoate fermentation	75	3 of 4
66794	sulfopterin metabolism	75	3 of 4
66794	CMP-KDO biosynthesis	75	3 of 4
66794	acetate fermentation	75	3 of 4
66794	glycogen biosynthesis	75	3 of 4
66794	purine metabolism	74.47	70 of 94
66794	peptidoglycan biosynthesis	73.33	11 of 15
66794	flavin biosynthesis	73.33	11 of 15
66794	tyrosine metabolism	71.43	10 of 14
66794	cardiolipin biosynthesis	71.43	5 of 7
66794	lipid metabolism	70.97	22 of 31
66794	propionate fermentation	70	7 of 10
66794	arginine metabolism	66.67	16 of 24
66794	L-lactaldehyde degradation	66.67	2 of 3
66794	acetoin degradation	66.67	2 of 3
66794	non-pathway related	65.79	25 of 38
66794	histidine metabolism	65.52	19 of 29
66794	glycolysis	64.71	11 of 17
66794	tryptophan metabolism	63.16	24 of 38
66794	6-hydroxymethyl-dihydropterin diphosphate biosynthesis	62.5	5 of 8
66794	urea cycle	61.54	8 of 13
66794	vitamin B1 metabolism	61.54	8 of 13
66794	cysteine metabolism	61.11	11 of 18
66794	lysine metabolism	59.52	25 of 42
66794	degradation of aromatic, nitrogen containing compounds	58.33	7 of 12
66794	isoprenoid biosynthesis	53.85	14 of 26
66794	glycine metabolism	50	5 of 10
66794	suberin monomers biosynthesis	50	1 of 2
66794	cyclohexanol degradation	50	2 of 4
66794	quinate degradation	50	1 of 2
66794	dTDPLrhamnose biosynthesis	50	4 of 8
66794	pantothenate biosynthesis	50	3 of 6
66794	glycolate and glyoxylate degradation	50	3 of 6
66794	polyamine pathway	43.48	10 of 23
66794	reductive acetyl coenzyme A pathway	42.86	3 of 7
66794	gallate degradation	40	2 of 5
66794	phenylacetate degradation (aerobic)	40	2 of 5
66794	arachidonate biosynthesis	40	2 of 5
66794	glycine betaine biosynthesis	40	2 of 5
66794	lipoate biosynthesis	40	2 of 5
66794	degradation of hexoses	38.89	7 of 18
66794	phosphatidylethanolamine bioynthesis	38.46	5 of 13
66794	sulfate reduction	38.46	5 of 13
66794	ketogluconate metabolism	37.5	3 of 8
66794	metabolism of disaccharids	36.36	4 of 11
66794	vitamin B6 metabolism	36.36	4 of 11
66794	oxidative phosphorylation	35.16	32 of 91
66794	acetyl CoA biosynthesis	33.33	1 of 3
66794	selenocysteine biosynthesis	33.33	2 of 6
66794	IAA biosynthesis	33.33	1 of 3
66794	cyanate degradation	33.33	1 of 3
66794	enterobactin biosynthesis	33.33	1 of 3
66794	sphingosine metabolism	33.33	2 of 6
66794	(5R)-carbapenem carboxylate biosynthesis	33.33	1 of 3
66794	phenylpropanoid biosynthesis	30.77	4 of 13
66794	aclacinomycin biosynthesis	28.57	2 of 7
66794	benzoyl-CoA degradation	28.57	2 of 7
66794	ascorbate metabolism	27.27	6 of 22
66794	d-xylose degradation	27.27	3 of 11
66794	3-phenylpropionate degradation	26.67	4 of 15
66794	lactate fermentation	25	1 of 4
66794	degradation of sugar alcohols	25	4 of 16
66794	toluene degradation	25	1 of 4
66794	carnitine metabolism	25	2 of 8
66794	catecholamine biosynthesis	25	1 of 4
66794	vitamin E metabolism	25	1 of 4
66794	phenol degradation	25	5 of 20
66794	degradation of pentoses	25	7 of 28
66794	degradation of sugar acids	24	6 of 25
66794	nitrate assimilation	22.22	2 of 9
66794	arachidonic acid metabolism	22.22	4 of 18
66794	vitamin B12 metabolism	20.59	7 of 34

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Terrestrial	#Soil

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent	Latitude	Longitude
7512	soil	Mongolia, Lake Chahannor (39°14' N 108° 04' E)	China	CHN	Asia	39.2333	108.067 39.2333/108.067

Taxonmaps

69479

Global distribution of 16S sequence AF250323 (>99% sequence identity) for Alkalimonas amylolytica subclade from Microbeatlas

Aquatic Samples	163
Soil Samples	23
Animal Samples	179
Plant Samples	9
Total Samples	374

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
7512	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	IMG-taxon 2617270770 annotated assembly for Alkalimonas amylolytica CGMCC 1.3430	scaffold	GCA_900107845	152573.10	2617270770	152573	72.49

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
7512	Gamma proteobacterium N10 16S ribosomal RNA gene, partial sequence	AF250323	1510		152573

GC content

7512

GC-content (mol%)52.5

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: IMG-taxon 2617270770 annotated assembly for Alkalimonas amylolytica CGMCC 1.3430
NCBI: GCA_900107845

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	gram_stain	BacteriaNetⓘ	negative	96.04	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	93.60	no
125439	motility	BacteriaNetⓘ	yes	87.36	no
125439	spore_formation	BacteriaNetⓘ	no	98.35	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Alkalimonas amylolytica CGMCC 1.3430
NCBI: GCA_900107845.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	98.50	no
125438	anaerobic	anaerobicⓘ	no	93.95	no
125438	aerobic	aerobicⓘ	yes	73.79	no
125438	spore-forming	spore-formingⓘ	no	87.96	no
125438	thermophilic	thermophileⓘ	no	95.94	yes
125438	flagellated	motile2+ⓘ	yes	87.71	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Alkalimonas amylolytica gen. nov., sp. nov., and Alkalimonas delamerensis gen. nov., sp. nov., novel alkaliphilic bacteria from soda lakes in China and East Africa.	Ma Y, Xue Y, Grant WD, Collins NC, Duckworth AW, Van Steenbergen RP, Jones BE	Extremophiles	10.1007/s00792-004-0377-4	2004

References

#7512	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 18337
#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) .
#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 )
#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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Alkalimonas amylolytica (DSM 18337, AS 1.3430, CGMCC 1.3430)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Pathway annotation

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_900107845

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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