Nautilia profundicola (DSM 18972, ATCC BAA-1463, AmH)

Name: Nautilia profundicola (DSM 18972, ATCC BAA-1463, AmH)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 10430

Type strain

Strain Designation AmH

Culture col. no. DSM 18972 ATCC BAA-1463 AmH

NCBI tax ID(s) 244787

Special Collections DSMZ Literature strains

History <- B.J. Campbell; AmH

Links

Nautilia profundicola AmH is an anaerobe, Gram-negative, motile bacterium that was isolated from Alvinella pompejana.

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

Name and taxonomic classification

SI-ID 398428

ATCC BAA-1463,DSM 18972

@ref 20215

Last LPSN update 2026-02-09 11:20:16

Domain Bacteria

Phylum Pseudomonadota

Class Epsilonproteobacteria

Order Nautiliales

Family Nautiliaceae

Genus Nautilia

Species Nautilia profundicola

Full scientific name Nautilia profundicola Smith et al. 2008

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Motility	Confidence
32399	negative	0.4 µm	0.3 µm	rod-shaped
125438	negative					95.834

Pigmentation

32399

Productionyes

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
7806	NAUTILIA PROFUNDICOLA MEDIUM (DSMZ Medium 1110)		Medium recipe at MediaDive	Name: NAUTILIA PROFUNDICOLA MEDIUM (DSMZ Medium 1110) Composition: NaCl 19.7628 g/l Sulfur 4.94071 g/l MgCl2 x 6 H2O 2.96443 g/l Na2CO3 1.48221 g/l KCl 0.494071 g/l Na2S x 9 H2O 0.494071 g/l NH4Cl 0.247036 g/l KH2PO4 0.197628 g/l CaCl2 x 2 H2O 0.148221 g/l HCl 0.00247036 g/l FeCl2 x 4 H2O 0.00148221 g/l NaOH 0.000494071 g/l Sodium resazurin 0.000494071 g/l CoCl2 x 6 H2O 0.000187747 g/l Pyridoxine hydrochloride 9.88142e-05 g/l MnCl2 x 4 H2O 9.88142e-05 g/l ZnCl2 6.917e-05 g/l p-Aminobenzoic acid 4.94071e-05 g/l (DL)-alpha-Lipoic acid 4.94071e-05 g/l Riboflavin 4.94071e-05 g/l Thiamine HCl 4.94071e-05 g/l Calcium D-(+)-pantothenate 4.94071e-05 g/l Nicotinic acid 4.94071e-05 g/l Na2MoO4 x 2 H2O 3.55731e-05 g/l NiCl2 x 6 H2O 2.37154e-05 g/l Biotin 1.97628e-05 g/l Folic acid 1.97628e-05 g/l H3BO3 5.92885e-06 g/l Na2WO4 x 2 H2O 3.95257e-06 g/l Na2SeO3 x 5 H2O 2.96443e-06 g/l CuCl2 x 2 H2O 1.97628e-06 g/l Vitamin B12 9.88142e-07 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
7806	positive	growth	40
32399	positive	growth	30-55
32399	positive	optimum	40

Culture pH

@ref	Ability	Type	PH	PH range
32399	positive	optimum	7
32399	positive	growth	06-09	alkaliphile

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
7806	anaerobe
32399	anaerobe
125439	anaerobe	94.5

Spore formation

@ref	Spore formation	Confidence
32399
125438		94.759

Halophily

@ref	Salt	Growth	Tested relation	Concentration
32399	NaCl	positive	growth	02-05 %
32399	NaCl	positive	optimum	3 %

Observation

32399

Observationaggregates in chains

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
32399	15740 ChEBI	formate	+	carbon source

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host	#Invertebrates (Other)	#Annelida

Isolation

@ref	Sample type	Host species	Geographic location
7806	Alvinella pompejana	Alvinella pompejana	East Pacific Rise

Taxonmaps

69479

Global distribution of 16S sequence AF357197 (>99% sequence identity) for Nautilia profundicola from Microbeatlas

Aquatic Samples	268
Soil Samples	17
Animal Samples	56
Plant Samples	28
Total Samples	369

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
7806	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	ASM2172v1 assembly for Nautilia profundicola AmH	complete	GCA_000021725	598659.3	643692029	598659	97.16

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
7806	Nautilia profundicola AmH 16S ribosomal RNA gene, partial sequence	AF357197	1498		598659

GC content

@ref	GC-content (mol%)	Method
7806	33.5	high performance liquid chromatography (HPLC)
32399	33.5

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Nautilia profundicola AmH
NCBI: GCA_000021725

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	70.40	no
125439	motility	BacteriaNetⓘ	no	60.40	no
125439	gram_stain	BacteriaNetⓘ	variable	71.70	no
125439	oxygen_tolerance	BacteriaNetⓘ	anaerobe	94.50	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Nautilia profundicola AmH AmH
NCBI: GCA_000021725.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	95.83	no
125438	anaerobic	anaerobicⓘ	yes	73.40	yes
125438	aerobic	aerobicⓘ	no	96.03	no
125438	spore-forming	spore-formingⓘ	no	94.76	yes
125438	thermophilic	thermophileⓘ	no	71.28	no
125438	flagellated	motile2+ⓘ	yes	59.78	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Enzymology	Nitrate ammonification by Nautilia profundicola AmH: experimental evidence consistent with a free hydroxylamine intermediate.	Hanson TE, Campbell BJ, Kalis KM, Campbell MA, Klotz MG.	Front Microbiol	10.3389/fmicb.2013.00180	2013
Phylogeny	Nautilia profundicola sp. nov., a thermophilic, sulfur-reducing epsilonproteobacterium from deep-sea hydrothermal vents.	Smith JL, Campbell BJ, Hanson TE, Zhang CL, Cary SC	Int J Syst Evol Microbiol	10.1099/ijs.0.65435-0	2008

References

#7806	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 18972
#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 )
#28623	IJSEM 1598 2008 ( DOI 10.1099/ijs.0.65435-0 , PubMed 18599701 )
#32399	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 #28623
#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) .
#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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Nautilia profundicola (DSM 18972, ATCC BAA-1463, AmH)

Name and taxonomic classification

Morphology

Cell morphology

Pigmentation

Culture and growth conditions

Culture medium

Culture temp

Culture pH

Physiology and metabolism

Oxygen tolerance

Spore formation

Halophily

Observation

Metabolite utilization

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_000021725

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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