Name: Elstera cyanobacteriorum TH019
Creator: BacDive
License: https://creativecommons.org/licenses/by/4.0/

Strain identifier

BacDive ID: 140756

Type strain:

Species: Elstera cyanobacteriorum

Strain Designation: TH019

Culture col. no.: CGMCC 1.15802, LMG 29721

NCBI tax ID(s): 2022747 (species)

Special Collections

Literature strains

Section

When using BacDive for research please cite our paper

Elstera cyanobacteriorum TH019 is an aerobe, Gram-negative, motile bacterium that forms circular colonies and was isolated from Cyanobacterial aggregates from Meiliang Bay in the eutrophic freshwater Lake Taihu.

colony-forming
Gram-negative
motile
rod-shaped
aerobe
16S sequence
Bacteria
genome sequence

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

	Last LPSN update	09-12-2024 (DD-MM-YYYY)
	Domain	*Bacteria*
	Phylum	*Pseudomonadota*
	Class	*Alphaproteobacteria*
	Order	*Rhodospirillales*
	Family	*Azospirillaceae*
	Genus	*Elstera*
	Species	**Elstera cyanobacteriorum**
	Full Scientific Name (LPSN)	Elstera cyanobacteriorum Cai et al. 2017

Information on morphological and physiological properties Morphology

[Ref.: #43534]	Gram stain	negative
[Ref.: #125439]	Gram stain	negative Confidence in %99.4
[Ref.: #125438]	Gram stain	negative Confidence in %97.5

[Ref.: #43534]	Cell length	1.8-2.5 µm

[Ref.: #43534]	Cell width	0.6-1 µm

[Ref.: #43534]	Cell shape	rod-shaped

[Ref.: #43534]	Motility	yes

[Ref.: #43534]	Flagellum arrangement	lophotrichous

[Ref.: #43534]	Colony color	light-brown to dark
[Ref.: #43534]	Colony shape	circular
[Ref.: #43534]	Incubation period	1 day
[Ref.: #43534]	Cultivation medium used	R2A agar

Information on culture and growth conditions Culture and growth conditions

[Ref.: #43534]

Culture medium

Reasoner's 2A agar (R2A)

[Ref.: #43534]

Culture medium growth

	Temperatures	Kind of temperature		Temperature
[Ref.: #43534]			growth	20-37 °C
[Ref.: #43534]			optimum	28 °C

	pH	Kind of pH		pH
[Ref.: #43534]			optimum	7
[Ref.: #43534]			growth	5-9

Information on physiology and metabolism Physiology and metabolism

[Ref.: #43534]	Oxygen tolerance	aerobe
[Ref.: #125439]	Oxygen tolerance	aerobe Confidence in %95.5

[Ref.: #125439]

Ability of spore formation

no Confidence in %97.9

	Halophily	Salt	Tested relation		Salt conc.
[Ref.: #43534]		NaCl		growth	0-1	%(w/v)

	Metabolite	Utilization activity	Kind of utilization tested
[Ref.: #43534]	adipate ChEBI	+	assimilation
[Ref.: #43534]	casein	+	hydrolysis
[Ref.: #43534]	D-galactose ChEBI	+	assimilation
[Ref.: #43534]	D-glucose ChEBI	+	assimilation
[Ref.: #43534]	D-glucose ChEBI	+	builds acid from
[Ref.: #43534]	D-mannitol ChEBI	+	assimilation
[Ref.: #43534]	D-mannose ChEBI	+	assimilation
[Ref.: #43534]	fructose ChEBI	+	assimilation
[Ref.: #43534]	fructose ChEBI	+	builds acid from
[Ref.: #43534]	fucose ChEBI	+	assimilation
[Ref.: #43534]	fucose ChEBI	+	builds acid from
[Ref.: #43534]	gelatin ChEBI	+	hydrolysis
[Ref.: #43534]	glycerol ChEBI	+	assimilation
[Ref.: #43534]	L-arabinose ChEBI	+	assimilation
[Ref.: #43534]	L-rhamnose ChEBI	+	assimilation
[Ref.: #43534]	lactate ChEBI	+	assimilation
[Ref.: #43534]	lactose ChEBI	+	assimilation
[Ref.: #43534]	malate ChEBI	+	assimilation
[Ref.: #43534]	maltose ChEBI	+	assimilation
[Ref.: #43534]	myo-inositol ChEBI	+	assimilation
[Ref.: #43534]	nitrate ChEBI	+	reduction
[Ref.: #43534]	phenylacetate ChEBI	+	assimilation
[Ref.: #43534]	sodium citrate ChEBI	+	assimilation
[Ref.: #43534]	sorbitol ChEBI	+	assimilation
[Ref.: #43534]	succinate ChEBI	+	assimilation
[Ref.: #43534]	sucrose ChEBI	+	assimilation
[Ref.: #43534]	trehalose ChEBI	+	assimilation
[Ref.: #43534]	tween 80 ChEBI	+	hydrolysis
[Ref.: #43534]	xylose ChEBI	+	assimilation
[Ref.: #43534]	xylose ChEBI	+	builds acid from
	Only first 10 entries are displayed. Click here to see all.

	Metabolite	Production
[Ref.: #43534]	acetoin ChEBI	no
[Ref.: #43534]	hydrogen sulfide ChEBI	yes
[Ref.: #43534]	indole ChEBI	no

	Physiological tests	Metabolite	Voges-Proskauer-test
[Ref.: #43534]		acetoin ChEBI	-

	Enzyme	Enzyme activity	EC number
[Ref.: #43534]	acid phosphatase	+	3.1.3.2
[Ref.: #43534]	alkaline phosphatase	+	3.1.3.1
[Ref.: #43534]	alpha-chymotrypsin	+	3.4.21.1
[Ref.: #43534]	alpha-galactosidase	+	3.2.1.22
[Ref.: #43534]	beta-galactosidase	+	3.2.1.23
[Ref.: #43534]	catalase	+	1.11.1.6
[Ref.: #43534]	cytochrome oxidase	+	1.9.3.1
[Ref.: #43534]	esterase (C 4)	+
[Ref.: #43534]	esterase Lipase (C 8)	+
[Ref.: #43534]	leucine arylamidase	+	3.4.11.1
[Ref.: #43534]	naphthol-AS-BI-phosphohydrolase	+
	Only first 10 entries are displayed. Click here to see all.

	Pathway	Enzyme coverage	Annotated reactions
	Pathway annotation	Computationally determined by
[Ref.: #66794]	taurine degradation	100	1 of 1
[Ref.: #66794]	aerobactin biosynthesis	100	1 of 1
[Ref.: #66794]	L-lactaldehyde degradation	100	3 of 3
[Ref.: #66794]	Entner Doudoroff pathway	100	10 of 10
[Ref.: #66794]	CDP-diacylglycerol biosynthesis	100	2 of 2
[Ref.: #66794]	glycine betaine biosynthesis	100	5 of 5
[Ref.: #66794]	suberin monomers biosynthesis	100	2 of 2
[Ref.: #66794]	formaldehyde oxidation	100	3 of 3
[Ref.: #66794]	UDP-GlcNAc biosynthesis	100	3 of 3
[Ref.: #66794]	adipate degradation	100	2 of 2
[Ref.: #66794]	coenzyme A metabolism	100	4 of 4
[Ref.: #66794]	cardiolipin biosynthesis	100	7 of 7
[Ref.: #66794]	methylglyoxal degradation	100	5 of 5
[Ref.: #66794]	anapleurotic synthesis of oxalacetate	100	1 of 1
[Ref.: #66794]	folate polyglutamylation	100	1 of 1
[Ref.: #66794]	cis-vaccenate biosynthesis	100	2 of 2
[Ref.: #66794]	palmitate biosynthesis	100	22 of 22
[Ref.: #66794]	ppGpp biosynthesis	100	4 of 4
[Ref.: #66794]	ribulose monophosphate pathway	100	2 of 2
[Ref.: #66794]	ubiquinone biosynthesis	100	7 of 7
[Ref.: #66794]	sulfopterin metabolism	100	4 of 4
[Ref.: #66794]	tetrahydrofolate metabolism	92.86	13 of 14
[Ref.: #66794]	phenylalanine metabolism	92.31	12 of 13
[Ref.: #66794]	vitamin B12 metabolism	91.18	31 of 34
[Ref.: #66794]	proline metabolism	90.91	10 of 11
[Ref.: #66794]	molybdenum cofactor biosynthesis	88.89	8 of 9
[Ref.: #66794]	lipid A biosynthesis	88.89	8 of 9
[Ref.: #66794]	aspartate and asparagine metabolism	88.89	8 of 9
[Ref.: #66794]	valine metabolism	88.89	8 of 9
[Ref.: #66794]	serine metabolism	88.89	8 of 9
[Ref.: #66794]	chorismate metabolism	88.89	8 of 9
[Ref.: #66794]	C4 and CAM-carbon fixation	87.5	7 of 8
[Ref.: #66794]	purine metabolism	86.17	81 of 94
[Ref.: #66794]	photosynthesis	85.71	12 of 14
[Ref.: #66794]	glutathione metabolism	85.71	12 of 14
[Ref.: #66794]	reductive acetyl coenzyme A pathway	85.71	6 of 7
[Ref.: #66794]	leucine metabolism	84.62	11 of 13
[Ref.: #66794]	vitamin B1 metabolism	84.62	11 of 13
[Ref.: #66794]	glycolate and glyoxylate degradation	83.33	5 of 6
[Ref.: #66794]	pyrimidine metabolism	82.22	37 of 45
[Ref.: #66794]	glutamate and glutamine metabolism	82.14	23 of 28
[Ref.: #66794]	degradation of sugar alcohols	81.25	13 of 16
[Ref.: #66794]	threonine metabolism	80	8 of 10
[Ref.: #66794]	gallate degradation	80	4 of 5
[Ref.: #66794]	peptidoglycan biosynthesis	80	12 of 15
[Ref.: #66794]	alanine metabolism	79.31	23 of 29
[Ref.: #66794]	citric acid cycle	78.57	11 of 14
[Ref.: #66794]	NAD metabolism	77.78	14 of 18
[Ref.: #66794]	CO2 fixation in Crenarchaeota	77.78	7 of 9
[Ref.: #66794]	d-mannose degradation	77.78	7 of 9
[Ref.: #66794]	urea cycle	76.92	10 of 13
[Ref.: #66794]	degradation of sugar acids	76	19 of 25
[Ref.: #66794]	acetate fermentation	75	3 of 4
[Ref.: #66794]	butanoate fermentation	75	3 of 4
[Ref.: #66794]	isoleucine metabolism	75	6 of 8
[Ref.: #66794]	gluconeogenesis	75	6 of 8
[Ref.: #66794]	6-hydroxymethyl-dihydropterin diphosphate biosynthesis	75	6 of 8
[Ref.: #66794]	CMP-KDO biosynthesis	75	3 of 4
[Ref.: #66794]	flavin biosynthesis	73.33	11 of 15
[Ref.: #66794]	vitamin B6 metabolism	72.73	8 of 11
[Ref.: #66794]	pentose phosphate pathway	72.73	8 of 11
[Ref.: #66794]	heme metabolism	71.43	10 of 14
[Ref.: #66794]	tyrosine metabolism	71.43	10 of 14
[Ref.: #66794]	propionate fermentation	70	7 of 10
[Ref.: #66794]	non-pathway related	68.42	26 of 38
[Ref.: #66794]	oxidative phosphorylation	68.13	62 of 91
[Ref.: #66794]	degradation of pentoses	67.86	19 of 28
[Ref.: #66794]	acetyl CoA biosynthesis	66.67	2 of 3
[Ref.: #66794]	octane oxidation	66.67	2 of 3
[Ref.: #66794]	allantoin degradation	66.67	6 of 9
[Ref.: #66794]	lysine metabolism	66.67	28 of 42
[Ref.: #66794]	IAA biosynthesis	66.67	2 of 3
[Ref.: #66794]	acetoin degradation	66.67	2 of 3
[Ref.: #66794]	cyanate degradation	66.67	2 of 3
[Ref.: #66794]	tryptophan metabolism	65.79	25 of 38
[Ref.: #66794]	glycolysis	64.71	11 of 17
[Ref.: #66794]	lipid metabolism	64.52	20 of 31
[Ref.: #66794]	dTDPLrhamnose biosynthesis	62.5	5 of 8
[Ref.: #66794]	isoprenoid biosynthesis	61.54	16 of 26
[Ref.: #66794]	cysteine metabolism	61.11	11 of 18
[Ref.: #66794]	degradation of hexoses	61.11	11 of 18
[Ref.: #66794]	myo-inositol biosynthesis	60	6 of 10
[Ref.: #66794]	metabolism of amino sugars and derivatives	60	3 of 5
[Ref.: #66794]	glycogen metabolism	60	3 of 5
[Ref.: #66794]	vitamin K metabolism	60	3 of 5
[Ref.: #66794]	3-chlorocatechol degradation	60	3 of 5
[Ref.: #66794]	histidine metabolism	58.62	17 of 29
[Ref.: #66794]	degradation of aromatic, nitrogen containing compounds	58.33	7 of 12
[Ref.: #66794]	arginine metabolism	58.33	14 of 24
[Ref.: #66794]	propanol degradation	57.14	4 of 7
[Ref.: #66794]	4-hydroxymandelate degradation	55.56	5 of 9
[Ref.: #66794]	d-xylose degradation	54.55	6 of 11
[Ref.: #66794]	methionine metabolism	53.85	14 of 26
[Ref.: #66794]	sulfate reduction	53.85	7 of 13
[Ref.: #66794]	3-phenylpropionate degradation	53.33	8 of 15
[Ref.: #66794]	pantothenate biosynthesis	50	3 of 6
[Ref.: #66794]	glycine metabolism	50	5 of 10
[Ref.: #66794]	grixazone biosynthesis	50	1 of 2
[Ref.: #66794]	mannosylglycerate biosynthesis	50	1 of 2
[Ref.: #66794]	lactate fermentation	50	2 of 4
[Ref.: #66794]	biotin biosynthesis	50	2 of 4
[Ref.: #66794]	aminopropanol phosphate biosynthesis	50	1 of 2
[Ref.: #66794]	ethanol fermentation	50	1 of 2
[Ref.: #66794]	vitamin E metabolism	50	2 of 4
[Ref.: #66794]	quinate degradation	50	1 of 2
[Ref.: #66794]	glycogen biosynthesis	50	2 of 4
[Ref.: #66794]	ketogluconate metabolism	50	4 of 8
[Ref.: #66794]	selenocysteine biosynthesis	50	3 of 6
[Ref.: #66794]	phenol degradation	45	9 of 20
[Ref.: #66794]	nitrate assimilation	44.44	4 of 9
[Ref.: #66794]	aclacinomycin biosynthesis	42.86	3 of 7
[Ref.: #66794]	ascorbate metabolism	40.91	9 of 22
[Ref.: #66794]	factor 420 biosynthesis	40	2 of 5
[Ref.: #66794]	arachidonate biosynthesis	40	2 of 5
[Ref.: #66794]	phenylacetate degradation (aerobic)	40	2 of 5
[Ref.: #66794]	lipoate biosynthesis	40	2 of 5
[Ref.: #66794]	androgen and estrogen metabolism	37.5	6 of 16
[Ref.: #66794]	cholesterol biosynthesis	36.36	4 of 11
[Ref.: #66794]	polyamine pathway	34.78	8 of 23
[Ref.: #66794]	(5R)-carbapenem carboxylate biosynthesis	33.33	1 of 3
[Ref.: #66794]	enterobactin biosynthesis	33.33	1 of 3
[Ref.: #66794]	sphingosine metabolism	33.33	2 of 6
[Ref.: #66794]	phosphatidylethanolamine bioynthesis	30.77	4 of 13
[Ref.: #66794]	coenzyme M biosynthesis	30	3 of 10
[Ref.: #66794]	4-hydroxyphenylacetate degradation	30	3 of 10
[Ref.: #66794]	starch degradation	30	3 of 10
[Ref.: #66794]	benzoyl-CoA degradation	28.57	2 of 7
[Ref.: #66794]	arachidonic acid metabolism	27.78	5 of 18
[Ref.: #66794]	carotenoid biosynthesis	27.27	6 of 22
[Ref.: #66794]	metabolism of disaccharids	27.27	3 of 11
[Ref.: #66794]	catecholamine biosynthesis	25	1 of 4
[Ref.: #66794]	alginate biosynthesis	25	1 of 4
[Ref.: #66794]	cyclohexanol degradation	25	1 of 4
[Ref.: #66794]	toluene degradation	25	1 of 4
[Ref.: #66794]	chlorophyll metabolism	22.22	4 of 18
		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.: #43534]	Sample type/isolated from	Cyanobacterial aggregates from Meiliang Bay in the eutrophic freshwater Lake Taihu
[Ref.: #43534]	Geographic location (country and/or sea, region)	Jiangsu Province
[Ref.: #43534]	Country	China
[Ref.: #43534]	Country ISO 3 Code	CHN
[Ref.: #43534]	Continent	Asia
[Ref.: #43534]	Geographic location	31.5000°/120.1830°
* marker position based on {}

Isolation sources categories

#Environmental	#Aquatic	#Freshwater
#Environmental	#Aquatic	#Lake (large)
#Host	#Microbial	#Bacteria

What are isolation sources categories?

[Ref.: #69479]

Global distribution of 16S sequence KU569905 (>99% sequence identity) for Elstera cyanobacteriorum from Microbeatlas

Aquatic Samples	711
Soil Samples	21
Animal Samples	172
Plant Samples	31
Total Samples	935

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.: #43534]	Elstera cyanobacteriorum strain TH019 16S ribosomal RNA gene, partial sequence	KU569905		GenBank ENA

Genome sequence information:

	Sequence accession description	Seq. accession number	Assembly level	Sequence database	Associated NCBI tax ID
[Ref.: #66792]	Elstera cyanobacteriorum CGMCC 1.15802	GCA_014643715	scaffold	GenBank ENA	2022747 tax ID	*
[Ref.: #66792]	Elstera cyanobacteriorum TH019	GCA_002251735	scaffold	GenBank ENA	2022747 tax ID	*
[Ref.: #66792]	Elstera cyanobacteriorum strain CGMCC 1.15802	2022747.4	wgs	PATRIC	2022747 tax ID	*

[Ref.: #43534]

GC-content

62.4 mol%

genome sequence analysis

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

	Model	Trait	Prediction	Confidence in %	In training data
	Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Elstera cyanobacteriorum CGMCC 1.15802 NCBI: GCA_014643715.1
[Ref.: #125438]	gram-positive	gram-positiveⓘ	no	97.5	yes
[Ref.: #125438]	anaerobic	anaerobicⓘ	no	90.993	no
[Ref.: #125438]	aerobic	aerobicⓘ	yes	80.73	yes
[Ref.: #125438]	spore-forming	spore-formingⓘ	no	86.318	no
[Ref.: #125438]	thermophile	thermophilicⓘ	no	94.246	no
[Ref.: #125438]	motile2+	flagellatedⓘ	yes	70.693	no

	Model	Trait	Prediction	Confidence in %
	Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Elstera cyanobacteriorum CGMCC 1.15802 NCBI: GCA_014643715
[Ref.: #125439]	BacteriaNet	spore_formationⓘ	no	97.9
[Ref.: #125439]	BacteriaNet	motilityⓘ	yes	67
[Ref.: #125439]	BacteriaNet	gram_stainⓘ	negative	99.4
[Ref.: #125439]	BacteriaNet	oxygen_toleranceⓘ	aerobe	95.5

Availability in culture collections External links

[Ref.: #43534]

Culture collection no.

CGMCC 1.15802, LMG 29721

Literature:

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Elstera cyanobacteriorum sp. nov., a novel bacterium isolated from cyanobacterial aggregates in a eutrophic lake.	Cai H, Zeng Y, Wang Y, Jiang H	Int J Syst Evol Microbiol	10.1099/ijsem.0.002308	2017	*

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 )

#43534

Haiyuan Cai, Yonghui Zeng, Yanan Wang, Helong Jiang: Elstera cyanobacteriorum sp. nov., a novel bacterium isolated from cyanobacterial aggregates in a eutrophic lake. IJSEM 67: 4272 - 4275 2017 ( DOI 10.1099/ijsem.0.002308 , PubMed 28933317 )

#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 .

* These data were automatically processed and therefore are not curated

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Elstera cyanobacteriorum CGMCC 1.15802

Elstera cyanobacteriorum CGMCC 1.15802

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