Name: Marispirochaeta aestuarii JC444
Creator: BacDive
License: https://creativecommons.org/licenses/by/4.0/

Strain identifier

BacDive ID: 140775

Type strain:

Species: Marispirochaeta aestuarii

Strain Designation: JC444

Culture col. no.: KCTC 15554, DSM 103365

Strain history: <- Ch Sasikala JNT Univ, India

NCBI tax ID(s): 1963862 (species)

Special Collections

Section

When using BacDive for research please cite our paper

Marispirochaeta aestuarii JC444 is an obligate anaerobe, chemoorganoheterotroph, Gram-negative bacterium that was isolated from coastal marine sediments.

Gram-negative
helical-shaped
motile
chemoorganoheterotroph
obligate anaerobe
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	*Spirochaetota*
	Class	*Spirochaetia*
	Order	*Spirochaetales*
	Family	*Spirochaetaceae*
	Genus	*Marispirochaeta*
	Species	**Marispirochaeta aestuarii**
	Full Scientific Name (LPSN)	Marispirochaeta aestuarii Shivani et al. 2017

Information on morphological and physiological properties Morphology

[Ref.: #43553]	Gram stain	negative
[Ref.: #67771]	Gram stain	negative
[Ref.: #125439]	Gram stain	negative Confidence in %98.7

[Ref.: #43553]	Cell length	10-40 µm

[Ref.: #43553]	Cell width	0.1-0.2 µm

[Ref.: #43553]	Cell shape	helical-shaped

[Ref.: #43553]	Motility	yes
[Ref.: #67771]	Motility	yes

Information on culture and growth conditions Culture and growth conditions

		Temperature
[Ref.: #43553]	growth	15-42 °C
[Ref.: #43553]	optimum	32-35 °C
[Ref.: #67771]	growth	35 °C

	pH	Kind of pH		pH
[Ref.: #43553]			optimum	7.5-8
[Ref.: #43553]			growth	6.5-8.6

Information on physiology and metabolism Physiology and metabolism

[Ref.: #43553]	Oxygen tolerance	obligate anaerobe
[Ref.: #67771]	Oxygen tolerance	anaerobe
[Ref.: #125439]	Oxygen tolerance	anaerobe Confidence in %99.7

[Ref.: #43553]

Nutrition type

chemoorganoheterotroph

[Ref.: #125439]

Ability of spore formation

no Confidence in %96.5

	Halophily	Salt	Tested relation		Salt conc.
[Ref.: #43553]		NaCl		growth	0.6-5	%
[Ref.: #43553]		NaCl		optimum	1.5-2	%

	Metabolite	Utilization activity	Kind of utilization tested
[Ref.: #43553]	acetate ChEBI	-	growth
[Ref.: #43553]	benzoate ChEBI	-	growth
[Ref.: #43553]	cellobiose ChEBI	+	growth
[Ref.: #43553]	D-fructose ChEBI	+	growth
[Ref.: #43553]	D-galactose ChEBI	+	growth
[Ref.: #43553]	D-glucose ChEBI	+	growth
[Ref.: #43553]	D-mannitol ChEBI	+	growth
[Ref.: #43553]	D-mannose ChEBI	+	growth
[Ref.: #43553]	D-sorbitol ChEBI	+	growth
[Ref.: #43553]	ethanol ChEBI	-	growth
[Ref.: #43553]	fumarate ChEBI	-	growth
[Ref.: #43553]	fumarate ChEBI	+	growth
[Ref.: #43553]	gelatin ChEBI	-	hydrolysis
[Ref.: #43553]	glycerol ChEBI	+	growth
[Ref.: #43553]	L-aspartate ChEBI	+	growth
[Ref.: #43553]	L-rhamnose ChEBI	-	growth
[Ref.: #43553]	lactose ChEBI	+	growth
[Ref.: #43553]	methanol ChEBI	-	growth
[Ref.: #43553]	pyruvate ChEBI	+	growth
[Ref.: #43553]	sodium L-glutamate ChEBI	+	growth
[Ref.: #43553]	starch ChEBI	+	hydrolysis
[Ref.: #43553]	succinate ChEBI	-	growth
	Only first 10 entries are displayed. Click here to see all.

	Metabolite	Antibiotic sensitivity	Antibiotic resistance
[Ref.: #43553]	ampicillin ChEBI	yes
[Ref.: #43553]	chloramphenicol ChEBI	yes
[Ref.: #43553]	fosfomycin ChEBI		yes
[Ref.: #43553]	gentamicin ChEBI	yes
[Ref.: #43553]	kanamycin ChEBI		yes
[Ref.: #43553]	rifampicin ChEBI		yes
[Ref.: #43553]	tetracycline ChEBI	yes

	Metabolite	Production
[Ref.: #43553]	acetate ChEBI	yes
[Ref.: #43553]	carbon dioxide ChEBI	yes
[Ref.: #43553]	dihydrogen ChEBI	yes
[Ref.: #43553]	formate ChEBI	yes
[Ref.: #43553]	indole ChEBI	no

	Enzymes	Enzyme	Enzyme activity	EC number
[Ref.: #43553]		catalase	-	1.11.1.6

	Pathway	Enzyme coverage	Annotated reactions
	Pathway annotation	Computationally determined by
[Ref.: #66794]	cellulose degradation	100	5 of 5
[Ref.: #66794]	cis-vaccenate biosynthesis	100	2 of 2
[Ref.: #66794]	suberin monomers biosynthesis	100	2 of 2
[Ref.: #66794]	cardiolipin biosynthesis	100	7 of 7
[Ref.: #66794]	dolichol and dolichyl phosphate biosynthesis	100	2 of 2
[Ref.: #66794]	UDP-GlcNAc biosynthesis	100	3 of 3
[Ref.: #66794]	CDP-diacylglycerol biosynthesis	100	2 of 2
[Ref.: #66794]	denitrification	100	2 of 2
[Ref.: #66794]	lipoate biosynthesis	100	5 of 5
[Ref.: #66794]	palmitate biosynthesis	100	22 of 22
[Ref.: #66794]	glycine betaine biosynthesis	100	5 of 5
[Ref.: #66794]	ribulose monophosphate pathway	100	2 of 2
[Ref.: #66794]	L-lactaldehyde degradation	100	3 of 3
[Ref.: #66794]	butanoate fermentation	100	4 of 4
[Ref.: #66794]	folate polyglutamylation	100	1 of 1
[Ref.: #66794]	aspartate and asparagine metabolism	100	9 of 9
[Ref.: #66794]	ppGpp biosynthesis	100	4 of 4
[Ref.: #66794]	anapleurotic synthesis of oxalacetate	100	1 of 1
[Ref.: #66794]	threonine metabolism	90	9 of 10
[Ref.: #66794]	starch degradation	90	9 of 10
[Ref.: #66794]	Entner Doudoroff pathway	90	9 of 10
[Ref.: #66794]	NAD metabolism	88.89	16 of 18
[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]	ketogluconate metabolism	87.5	7 of 8
[Ref.: #66794]	isoleucine metabolism	87.5	7 of 8
[Ref.: #66794]	vitamin B1 metabolism	84.62	11 of 13
[Ref.: #66794]	phenylalanine metabolism	84.62	11 of 13
[Ref.: #66794]	pyrimidine metabolism	84.44	38 of 45
[Ref.: #66794]	degradation of hexoses	83.33	15 of 18
[Ref.: #66794]	glycolate and glyoxylate degradation	83.33	5 of 6
[Ref.: #66794]	purine metabolism	82.98	78 of 94
[Ref.: #66794]	glycolysis	82.35	14 of 17
[Ref.: #66794]	pentose phosphate pathway	81.82	9 of 11
[Ref.: #66794]	metabolism of disaccharids	81.82	9 of 11
[Ref.: #66794]	degradation of sugar alcohols	81.25	13 of 16
[Ref.: #66794]	glycogen metabolism	80	4 of 5
[Ref.: #66794]	hydrogen production	80	4 of 5
[Ref.: #66794]	glutamate and glutamine metabolism	78.57	22 of 28
[Ref.: #66794]	degradation of pentoses	78.57	22 of 28
[Ref.: #66794]	tetrahydrofolate metabolism	78.57	11 of 14
[Ref.: #66794]	citric acid cycle	78.57	11 of 14
[Ref.: #66794]	molybdenum cofactor biosynthesis	77.78	7 of 9
[Ref.: #66794]	leucine metabolism	76.92	10 of 13
[Ref.: #66794]	degradation of sugar acids	76	19 of 25
[Ref.: #66794]	gluconeogenesis	75	6 of 8
[Ref.: #66794]	C4 and CAM-carbon fixation	75	6 of 8
[Ref.: #66794]	acetate fermentation	75	3 of 4
[Ref.: #66794]	sulfopterin metabolism	75	3 of 4
[Ref.: #66794]	dTDPLrhamnose biosynthesis	75	6 of 8
[Ref.: #66794]	glycogen biosynthesis	75	3 of 4
[Ref.: #66794]	6-hydroxymethyl-dihydropterin diphosphate biosynthesis	75	6 of 8
[Ref.: #66794]	flavin biosynthesis	73.33	11 of 15
[Ref.: #66794]	peptidoglycan biosynthesis	73.33	11 of 15
[Ref.: #66794]	ubiquinone biosynthesis	71.43	5 of 7
[Ref.: #66794]	reductive acetyl coenzyme A pathway	71.43	5 of 7
[Ref.: #66794]	photosynthesis	71.43	10 of 14
[Ref.: #66794]	propanol degradation	71.43	5 of 7
[Ref.: #66794]	alanine metabolism	68.97	20 of 29
[Ref.: #66794]	octane oxidation	66.67	2 of 3
[Ref.: #66794]	CO2 fixation in Crenarchaeota	66.67	6 of 9
[Ref.: #66794]	d-mannose degradation	66.67	6 of 9
[Ref.: #66794]	acetoin degradation	66.67	2 of 3
[Ref.: #66794]	formaldehyde oxidation	66.67	2 of 3
[Ref.: #66794]	cyanate degradation	66.67	2 of 3
[Ref.: #66794]	selenocysteine biosynthesis	66.67	4 of 6
[Ref.: #66794]	acetyl CoA biosynthesis	66.67	2 of 3
[Ref.: #66794]	isoprenoid biosynthesis	65.38	17 of 26
[Ref.: #66794]	methionine metabolism	65.38	17 of 26
[Ref.: #66794]	oxidative phosphorylation	64.84	59 of 91
[Ref.: #66794]	vitamin B6 metabolism	63.64	7 of 11
[Ref.: #66794]	d-xylose degradation	63.64	7 of 11
[Ref.: #66794]	methylglyoxal degradation	60	3 of 5
[Ref.: #66794]	arginine metabolism	58.33	14 of 24
[Ref.: #66794]	degradation of aromatic, nitrogen containing compounds	58.33	7 of 12
[Ref.: #66794]	non-pathway related	57.89	22 of 38
[Ref.: #66794]	lysine metabolism	57.14	24 of 42
[Ref.: #66794]	cysteine metabolism	55.56	10 of 18
[Ref.: #66794]	histidine metabolism	55.17	16 of 29
[Ref.: #66794]	proline metabolism	54.55	6 of 11
[Ref.: #66794]	quinate degradation	50	1 of 2
[Ref.: #66794]	phenylmercury acetate degradation	50	1 of 2
[Ref.: #66794]	CMP-KDO biosynthesis	50	2 of 4
[Ref.: #66794]	toluene degradation	50	2 of 4
[Ref.: #66794]	coenzyme A metabolism	50	2 of 4
[Ref.: #66794]	lactate fermentation	50	2 of 4
[Ref.: #66794]	ethanol fermentation	50	1 of 2
[Ref.: #66794]	ascorbate metabolism	50	11 of 22
[Ref.: #66794]	adipate degradation	50	1 of 2
[Ref.: #66794]	tryptophan metabolism	50	19 of 38
[Ref.: #66794]	glycine metabolism	50	5 of 10
[Ref.: #66794]	biotin biosynthesis	50	2 of 4
[Ref.: #66794]	lipid metabolism	48.39	15 of 31
[Ref.: #66794]	urea cycle	46.15	6 of 13
[Ref.: #66794]	polyamine pathway	43.48	10 of 23
[Ref.: #66794]	tyrosine metabolism	42.86	6 of 14
[Ref.: #66794]	carotenoid biosynthesis	40.91	9 of 22
[Ref.: #66794]	factor 420 biosynthesis	40	2 of 5
[Ref.: #66794]	propionate fermentation	40	4 of 10
[Ref.: #66794]	metabolism of amino sugars and derivatives	40	2 of 5
[Ref.: #66794]	gallate degradation	40	2 of 5
[Ref.: #66794]	coenzyme M biosynthesis	40	4 of 10
[Ref.: #66794]	myo-inositol biosynthesis	40	4 of 10
[Ref.: #66794]	4-hydroxyphenylacetate degradation	40	4 of 10
[Ref.: #66794]	arachidonate biosynthesis	40	2 of 5
[Ref.: #66794]	bacilysin biosynthesis	40	2 of 5
[Ref.: #66794]	3-phenylpropionate degradation	40	6 of 15
[Ref.: #66794]	arachidonic acid metabolism	38.89	7 of 18
[Ref.: #66794]	sulfate reduction	38.46	5 of 13
[Ref.: #66794]	glutathione metabolism	35.71	5 of 14
[Ref.: #66794]	phenol degradation	35	7 of 20
[Ref.: #66794]	IAA biosynthesis	33.33	1 of 3
[Ref.: #66794]	lipid A biosynthesis	33.33	3 of 9
[Ref.: #66794]	sulfoquinovose degradation	33.33	1 of 3
[Ref.: #66794]	nitrate assimilation	33.33	3 of 9
[Ref.: #66794]	1,4-dihydroxy-6-naphthoate biosynthesis	33.33	2 of 6
[Ref.: #66794]	phosphatidylethanolamine bioynthesis	30.77	4 of 13
[Ref.: #66794]	chlorophyll metabolism	27.78	5 of 18
[Ref.: #66794]	dolichyl-diphosphooligosaccharide biosynthesis	27.27	3 of 11
[Ref.: #66794]	vitamin E metabolism	25	1 of 4
[Ref.: #66794]	cyclohexanol degradation	25	1 of 4
[Ref.: #66794]	phenylpropanoid biosynthesis	23.08	3 of 13
[Ref.: #66794]	4-hydroxymandelate degradation	22.22	2 of 9
[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.: #43553]	Sample type/isolated from	coastal marine sediments
[Ref.: #43553]	Geographic location (country and/or sea, region)	Gujarat
[Ref.: #43553]	Country	Indian Ocean
[Ref.: #43553]	Geographic location	21.0800°/72.0600°
[Ref.: #43553]	Isolation date	2014-12

[Ref.: #67771]	Sample type/isolated from	From soil
[Ref.: #67771]	Geographic location (country and/or sea, region)	Bhaunagar, bwjaral, grebei, Runn of Kutch, Gujarat
[Ref.: #67771]	Country	India
[Ref.: #67771]	Country ISO 3 Code	IND
[Ref.: #67771]	Continent	Asia
* marker position based on {}

Isolation sources categories

#Environmental	#Aquatic	#Marine
#Environmental	#Aquatic	#Sediment
#Environmental	#Terrestrial	#Coast

What are isolation sources categories?

[Ref.: #69479]

Global distribution of 16S sequence LT578350 (>99% sequence identity) for Marispirochaeta aestuarii subclade from Microbeatlas

Aquatic Samples	929
Soil Samples	106
Animal Samples	66
Plant Samples	20
Total Samples	1121

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.: #43553]	Spirochaeta sp. JC444 partial 16S rRNA gene, strain JC444	LT578350		GenBank ENA

Genome sequence information:

	Sequence accession description	Seq. accession number	Assembly level	Sequence database	Associated NCBI tax ID
[Ref.: #67771]	Marispirochaeta aestuarii JC444	GCA_002087085	contig	GenBank ENA	1963862 tax ID
[Ref.: #66792]	Marispirochaeta aestuarii JC444	2881371823	draft	JGI IMG/M	1963862 tax ID	*

[Ref.: #43553]	GC-content	53.6 mol%	genome sequence analysis
[Ref.: #67771]	GC-content	53.6 mol%

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

	Model	Trait	Prediction	Confidence in %
	Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Marispirochaeta aestuarii JC444 NCBI: GCA_002087085
[Ref.: #125439]	BacteriaNet	spore_formationⓘ	no	96.5
[Ref.: #125439]	BacteriaNet	motilityⓘ	no	58.9
[Ref.: #125439]	BacteriaNet	gram_stainⓘ	negative	98.7
[Ref.: #125439]	BacteriaNet	oxygen_toleranceⓘ	anaerobe	99.7

Availability in culture collections External links

[Ref.: #43553]

Culture collection no.

KCTC 15554, DSM 103365

Literature:

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Characterisation of a newly isolated member of a candidatus lineage, Marispirochaeta aestuarii gen. nov., sp. nov.	Shivani Y, Subhash Y, Sasikala C, Ramana CV	Int J Syst Evol Microbiol	10.1099/ijsem.0.002224	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 )

#43553

Y. Shivani, Y. Subhash, Ch. Sasikala, Ch. V. Ramana: Characterisation of a newly isolated member of a candidatus lineage, Marispirochaeta aestuarii gen. nov., sp. nov.. IJSEM 67: 3929 - 3936 2017 ( DOI 10.1099/ijsem.0.002224 , PubMed 28895523 )

#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 )

#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 .

#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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