Vallitalea guaymasensis (DSM 29592, JCM 30920, L81)

Name: Vallitalea guaymasensis (DSM 29592, JCM 30920, L81)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 132478

Type strain

Strain Designation L81

Culture col. no. DSM 29592 JCM 30920 L81

NCBI tax ID(s) 1675854

Special Collections DSMZ JCM Literature strains

History DSMZ <- A. Schouw, Univ. Bergen, Norway; L81 <- A. Schouw {2012} JCM <-- I. H. Steen; Centre for Geobiol., Univ. of Bergen, Norway; L81.

Links

Vallitalea guaymasensis L81 is an obligate anaerobe, chemoorganoheterotroph, Gram-positive bacterium that was isolated from chimney of a deep-sea black smoker, approximately 2400 m depth.

Gram-positive motile rod-shaped obligate anaerobe chemoorganoheterotroph genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 403777

JCM 30920,DSM 29592

@ref 20215

Last LPSN update 2026-05-29 08:37:52

Domain Bacteria

Phylum Bacillota

Class Clostridia

Order Eubacteriales

Family Vallitaleaceae

Genus Vallitalea

Species Vallitalea guaymasensis

Full scientific name Vallitalea guaymasensis Lakhal et al. 2013

Synonyms (1)

Abyssivirga alkaniphila

BacDive ID	Other strains from **Vallitalea guaymasensis** (1)	Type strain
24770	V. guaymasensis Ra 1766F, Ra1766G1, DSM 24848, JCM 17997 (type strain)

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Motility
43989	positive	2.0-5.0 µm	0.5 µm	rod-shaped

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
24267	MARIDESULFOVIBRIO MEDIUM (DSMZ Medium 1040)		Medium recipe at MediaDive	Name: MARIDESULFOVIBRIO MEDIUM (DSMZ Medium 1040) Composition: Sea Salt 34.9301 g/l Na-DL-lactate 2.49501 g/l Yeast extract 0.998004 g/l Na2CO3 0.998004 g/l Na2S x 9 H2O 0.299401 g/l MgSO4 x 7 H2O 0.0299401 g/l NaCl 0.00998004 g/l MnSO4 x H2O 0.00499002 g/l (NH4)2Ni(SO4)2 x 6 H2O 0.00279441 g/l CoCl2 x 6 H2O 0.00179641 g/l ZnSO4 x 7 H2O 0.00179641 g/l FeSO4 x 7 H2O 0.000998004 g/l CaCl2 x 2 H2O 0.000998004 g/l Sodium resazurin 0.000499002 g/l AlK(SO4)2 x 12 H2O 0.000179641 g/l Pyridoxine hydrochloride 9.98004e-05 g/l CuSO4 x 5 H2O 9.98004e-05 g/l Na2SeO4 9.98004e-05 g/l Na2WO4 x 2 H2O 9.98004e-05 g/l Na2MoO4 x 2 H2O 9.98004e-05 g/l H3BO3 9.98004e-05 g/l Riboflavin 4.99002e-05 g/l Nicotinic acid 4.99002e-05 g/l Calcium D-(+)-pantothenate 4.99002e-05 g/l p-Aminobenzoic acid 4.99002e-05 g/l (DL)-alpha-Lipoic acid 4.99002e-05 g/l Thiamine HCl 4.99002e-05 g/l Folic acid 1.99601e-05 g/l Biotin 1.99601e-05 g/l Vitamin B12 9.98004e-07 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
24267	positive	growth	37
43989	positive	growth	15-42
43989	positive	optimum	37
67770	positive	growth	37

Culture pH

@ref	Ability	Type	PH
43989	positive	optimum	7.0-8.2

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
43989	obligate anaerobe
125439	facultative anaerobe	95.775

Nutrition type

43989

Typechemoorganoheterotroph

Spore formation

43989

Spore formationno

Halophily

@ref	Salt	Growth	Tested relation	Concentration
43989	NaCl	positive	growth	0.5-6 %(w/v)
43989	NaCl	positive	optimum	3 %(w/v)

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
43989	30089 ChEBI	acetate	-	growth
43989	18024 ChEBI	D-galacturonic acid	+	growth
43989	28757 ChEBI	fructose	+	growth
43989	28260 ChEBI	galactose	+	growth
43989	17234 ChEBI	glucose	+	growth
43989	17754 ChEBI	glycerol	+	growth
43989	24996 ChEBI	lactate	+	growth
43989	17306 ChEBI	maltose	+	growth
43989	17309 ChEBI	pectin	+	growth
43989		peptone	+	growth
43989	62969 ChEBI	polygalacturonic acid	+	growth
43989	33942 ChEBI	ribose	+	growth
43989	16094 ChEBI	thiosulfate	+	electron acceptor
43989		yeast extract	+	growth

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Aquatic	#Hydrothermal vent
#Environmental	#Biofilm	-

Isolation

@ref	Sample type	Geographic location	Country	Latitude	Longitude	Enrichment culture	Enrichment culture composition
24267	chimney of a deep-sea black smoker, approximately 2400 m depth	Arctic Mid-Ocean Ridge, Loki’s Castle vent field		73.55	8.15 73.55/8.15
43989	methane-producing, hydro- carbon-degrading microbial consortium enriched from a black smoker at the Loki's Castle vent field, Arctic Mid-Ocean Ridge	Loki's Castle vent field	Arctic Ocean	73.55	8.15 73.55/8.15	Met II growth medium	22 g/L NaCl, 0.14 g/L CaCl2.2H2O, 0.34 g/L KCl, 0.5 g NH4Cl, 5.5 g/L MgCl2.6H2O, 0.14 g/L K2HPO4.3H2O, 0.2 g/L yeast extract, 10 ml trace element solution (DSMZ medium 141) and 0.5 ml resazurin solution (0.02 %), 10 ml iron solution [0.2 g (NH4)2Fe(SO4)2.6H2O dissolved in 0.2 ml 1 M HCl and added to 100 ml distilled water], 0.5 g cysteine hydrochloride, 10 ml vitamin solution, 30 ml 1.0 M NaHCO3, 5 ml 0.5 M Na2S, pH 7.2
67770	Biofilm sampled from a black smoker chimney at the Loki

Taxonmaps

69479

Global distribution of 16S sequence KP233895 (>99% sequence identity) for Eubacteriales from Microbeatlas

Aquatic Samples	115
Soil Samples	16
Animal Samples	85
Plant Samples	0
Total Samples	216

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
24267	1	Risk group (German classification)

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM331330v1 assembly for Vallitalea guaymasensis L81	contig	GCA_003313305	1185412.3	2887388934	1185412	72.78

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
24267	Abyssivirga alkaniphila strain L81 16S ribosomal RNA gene, partial sequence	KP233895	1520		1675854

GC content

@ref	GC-content (mol%)	Method
24267	31.7	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: ASM331330v1 assembly for Vallitalea guaymasensis L81
NCBI: GCA_003313305

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	facultative anaerobe	95.78	no
125439	gram_stain	BacteriaNetⓘ	positive	71.49	no
125439	spore_formation	BacteriaNetⓘ	yes	65.90	no
125439	motility	BacteriaNetⓘ	yes	68.69	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Vallitalea guaymasensis strain L81
PATRIC: 1185412.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	63.39	yes
125438	anaerobic	anaerobicⓘ	yes	80.94	yes
125438	spore-forming	spore-formingⓘ	yes	53.45	yes
125438	aerobic	aerobicⓘ	no	90.76	yes
125438	thermophilic	thermophileⓘ	no	88.54	no
125438	flagellated	motile2+ⓘ	yes	79.22	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Abyssivirga alkaniphila gen. nov., sp. nov., an alkane-degrading, anaerobic bacterium from a deep-sea hydrothermal vent system, and emended descriptions of Natranaerovirga pectinivora and Natranaerovirga hydrolytica.	Schouw A, Leiknes Eide T, Stokke R, Pedersen RB, Steen IH, Bodtker G	Int J Syst Evol Microbiol	10.1099/ijsem.0.000934	2016

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 )
#24267	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 29592
#43989	Anders Schouw, Tove Leiknes Eide, Runar Stokke, Rolf Birger Pedersen, Ida Helene Steen, Gunhild Bødtker: Abyssivirga alkaniphila gen. nov., sp. nov., an alkane-degrading, anaerobic bacterium from a deep-sea hydrothermal vent system, and emended descriptions of Natranaerovirga pectinivora and Natranaerovirga hydrolytica. IJSEM 66: 1724 - 1734 2016 ( DOI 10.1099/ijsem.0.000934 , PubMed 26822139 )
#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) .
#67770	Japan Collection of Microorganism (JCM) ; Curators of the JCM;
#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 )

Content

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Vallitalea guaymasensis (DSM 29592, JCM 30920, L81)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture medium

Culture temp

Culture pH

Physiology and metabolism

Oxygen tolerance

Nutrition type

Spore formation

Halophily

Metabolite utilization

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_003313305

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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