Name: Williamsia faeni N1350
Creator: BacDive
License: https://creativecommons.org/licenses/by/4.0/

Strain identifier

BacDive ID: 17379

Type strain:

Species: Williamsia faeni

Strain Designation: N1350

Culture col. no.: DSM 45372, NCIMB 14575, NRRL B-24794, JCM 17784

Strain history: NCIMB 14575 <-- A. L. Jones N1350.

NCBI tax ID(s): 341202 (species)

SI-ID 405490

DSM 45372

Special Collections

Section

When using BacDive for research please cite our paper

Williamsia faeni N1350 is an aerobe, spore-forming, mesophilic bacterium that was isolated from soil from a hay meadow plot.

coccus-shaped
Gram-positive
spore-forming
aerobe
mesophilic
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	*Actinomycetota*
	Class	*Actinomycetes*
	Order	*Mycobacteriales*
	Family	*Gordoniaceae*
	Genus	*Williamsia*
	Species	**Williamsia faeni**
	Full Scientific Name (LPSN)	Williamsia faeni Jones et al. 2010

Information on morphological and physiological properties Morphology

[Ref.: #29558]	Gram stain	positive
[Ref.: #125438]	Gram stain	positive Confidence in %92.645

[Ref.: #29558]	Cell shape	coccus-shaped

[Ref.: #29558]

Pigment production

yes

Multimedia content

[Ref.: #16370]

Caption:

Medium 65 28°C

[Ref.: #16370]

Intellectual property rights:

Information on culture and growth conditions Culture and growth conditions

[Ref.: #16370]

Culture medium

GYM STREPTOMYCES MEDIUM (DSMZ Medium 65)

[Ref.: #16370]

Culture medium growth

[Ref.: #16370]

Culture medium link

Medium recipe at MediaDive

[Ref.: #16370]

Culture medium composition

expand / minimize

[Ref.: #16370]

Culture medium

TRYPTICASE SOY BROTH AGAR (DSMZ Medium 535)

[Ref.: #16370]

Culture medium growth

[Ref.: #16370]

Culture medium link

Medium recipe at MediaDive

[Ref.: #16370]

Culture medium composition

expand / minimize

		Temperature
[Ref.: #16370]	growth	28 °C
[Ref.: #29558]	growth	10-30 °C
[Ref.: #29558]	optimum	28 °C
[Ref.: #67770]	growth	28 °C

	pH	Kind of pH		pH
[Ref.: #29558]			optimum	7
[Ref.: #29558]			growth	7

Information on physiology and metabolism Physiology and metabolism

[Ref.: #29558]	Oxygen tolerance	aerobe
[Ref.: #125439]	Oxygen tolerance	obligate aerobe Confidence in %98

[Ref.: #29558]

Ability of spore formation

yes

[Ref.: #29558]	Observation	aggregates in chains
[Ref.: #67770]	Observation	quinones: MK-9(H₂)

	Metabolite	Utilization activity	Kind of utilization tested
[Ref.: #29558]	arabinose ChEBI	+	carbon source
[Ref.: #29558]	cellobiose ChEBI	+	carbon source
[Ref.: #29558]	galactose ChEBI	+	carbon source
[Ref.: #29558]	maltose ChEBI	+	carbon source
[Ref.: #29558]	mannitol ChEBI	+	carbon source
[Ref.: #29558]	melibiose ChEBI	+	carbon source
[Ref.: #29558]	raffinose ChEBI	+	carbon source
[Ref.: #29558]	rhamnose ChEBI	+	carbon source
[Ref.: #29558]	ribitol ChEBI	+	carbon source
[Ref.: #29558]	sorbitol ChEBI	+	carbon source
[Ref.: #29558]	sucrose ChEBI	+	carbon source
[Ref.: #29558]	trehalose ChEBI	+	carbon source
[Ref.: #29558]	xylose ChEBI	+	carbon source
	Only first 10 entries are displayed. Click here to see all.

	Enzymes	Enzyme	Enzyme activity	EC number
[Ref.: #29558]		urease	+	3.5.1.5

Information on isolation source, the sampling and environmental conditions Isolation, sampling and environmental information

[Ref.: #16370]	Sample type/isolated from	soil from a hay meadow plot
[Ref.: #16370]	Geographic location (country and/or sea, region)	Northumberland, Cockle Park Experimental Farm
[Ref.: #16370]	Country	United Kingdom
[Ref.: #16370]	Country ISO 3 Code	GBR
[Ref.: #16370]	Continent	Europe

[Ref.: #67770]	Sample type/isolated from	Hay meadow plot at Cockle Park Experimental Farm
[Ref.: #67770]	Geographic location (country and/or sea, region)	Northumberland
[Ref.: #67770]	Country	United Kingdom
[Ref.: #67770]	Country ISO 3 Code	GBR
[Ref.: #67770]	Continent	Europe
* marker position based on {}

Isolation sources categories

#Engineered	#Agriculture	#Meadow
#Environmental	#Terrestrial	#Soil
#Host	#Plants	#Herbaceous plants (Grass,Crops)

What are isolation sources categories?

[Ref.: #69479]

Global distribution of 16S sequence DQ157929 (>99% sequence identity) for Williamsia from Microbeatlas

Aquatic Samples	755
Soil Samples	2056
Animal Samples	1129
Plant Samples	275
Total Samples	4215

Information on possible application of the strain and its possible interaction with e.g. potential hosts Safety information

[Ref.: #16370]

Biosafety level

Risk group (German classification)
According to TRBA 466

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.: #16370]	Williamsia faeni strain N1350 16S ribosomal RNA gene, partial sequence	DQ157929	1441	GenBank ENA	341202 tax ID

Genome sequence information:

	Sequence accession description	Seq. accession number	Assembly level	Sequence database	Associated NCBI tax ID
[Ref.: #67770]	Williamsia faeni DSM 45372	GCA_003202005	scaffold	GenBank ENA	341202 tax ID
[Ref.: #66792]	Williamsia faeni strain DSM 45372	341202.3	wgs	PATRIC	341202 tax ID	*
[Ref.: #66792]	Williamsia faeni DSM 45372	2770939552	draft	JGI IMG/M	341202 tax ID	*

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: Williamsia faeni strain DSM 45372 PATRIC: 341202.3
[Ref.: #125438]	gram-positive	gram-positiveⓘ	yes	92.645	yes
[Ref.: #125438]	anaerobic	anaerobicⓘ	no	98.479	yes
[Ref.: #125438]	spore-forming	spore-formingⓘ	no	50.376	yes
[Ref.: #125438]	aerobic	aerobicⓘ	yes	89.012	yes
[Ref.: #125438]	thermophile	thermophilicⓘ	no	97	no
[Ref.: #125438]	motile2+	flagellatedⓘ	no	89	no

	Model	Trait	Prediction	Confidence in %
	Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Williamsia faeni DSM 45372 NCBI: GCA_003202005
[Ref.: #125439]	BacteriaNet	spore_formationⓘ	no	81.4
[Ref.: #125439]	BacteriaNet	motilityⓘ	no	64.1
[Ref.: #125439]	BacteriaNet	gram_stainⓘ	positive	85.7
[Ref.: #125439]	BacteriaNet	oxygen_toleranceⓘ	obligate aerobe	98

Availability in culture collections External links

[Ref.: #16370]

Culture collection no.

DSM 45372, NCIMB 14575, NRRL B-24794, JCM 17784

[Ref.: #86378]

SI-ID 405490

Literature:

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Williamsia soli sp. nov., an actinobacterium isolated from soil at a thermal power plant in Yantai, China.	Zhang MJ, Li XH, Peng LY, Yun ST, Liu ZC, Zhou YX	Arch Microbiol	10.1007/s00203-021-02714-8	2021	*
Phylogeny	Williamsia faeni sp. nov., an actinomycete isolated from a hay meadow.	Jones AL, Payne GD, Goodfellow M	Int J Syst Evol Microbiol	10.1099/ijs.0.015826-0	2009	*

References

#16370

Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 45372

#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 )

#29558

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 #25953 (see below)

#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 .

#86378

Reimer, L.C., Lissin, A.,Schober, I., Witte,J.F., Podstawka, A., Lüken, H., Bunk, B.,Overmann, J.: StrainInfo: A central database for resolving microbial strain identifiers . ( DOI 10.60712/SI-ID405490.1 )

#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 .

#25953

IJSEM 2548 2010 ( DOI 10.1099/ijs.0.015826-0 , PubMed 20008113 )

* These data were automatically processed and therefore are not curated

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Williamsia faeni strain DSM 45372

Williamsia faeni DSM 45372

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