Name: Priestia taiwanensis FJAT-14571
Creator: BacDive
License: https://creativecommons.org/licenses/by/4.0/

Strain identifier

BacDive ID: 131357

Type strain:

Species: Priestia taiwanensis

Strain Designation: FJAT-14571

Culture col. no.: DSM 27845, CGMCC 1.12698

Strain history: <- G. Liu, Fujian Academy of Agricultural Sciences, Fuzhou, China; FJAT-14571

NCBI tax ID(s): 1347902 (species)

SI-ID 405023

DSM 27845

Special Collections

DSMZ

Section

When using BacDive for research please cite our paper

Priestia taiwanensis FJAT-14571 is a mesophilic bacterium that was isolated from soil.

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	*Bacillota*
	Class	*Bacilli*
	Order	*Caryophanales*
	Family	*Bacillaceae*
	Genus	*Priestia*
	Species	**Priestia taiwanensis**
	Full Scientific Name (LPSN)	Priestia taiwanensis (Liu et al. 2015) Gupta et al. 2020

Synonym

Bacillus taiwanensis

Information on culture and growth conditions Culture and growth conditions

[Ref.: #22584]

Culture medium

NUTRIENT AGAR (DSMZ Medium 1)

[Ref.: #22584]

Culture medium growth

[Ref.: #22584]

Culture medium link

Medium recipe at MediaDive

[Ref.: #22584]

Culture medium composition

expand / minimize

	Temperatures	Kind of temperature		Temperature
[Ref.: #22584]			growth	30 °C

Information on physiology and metabolism Physiology and metabolism

[Ref.: #125439]

Oxygen tolerance

facultative anaerobe Confidence in %94.6

[Ref.: #125439]

Ability of spore formation

yes Confidence in %91.7

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

[Ref.: #22584]	Sample type/isolated from	soil
[Ref.: #22584]	Geographic location (country and/or sea, region)	Xinbei City, Yeh-Liu geological site (121.701567° E 25.210779° N)
[Ref.: #22584]	Country	Taiwan, Province of China
[Ref.: #22584]	Country ISO 3 Code	TWN
[Ref.: #22584]	Continent	Asia
[Ref.: #22584]	Geographic location	25.2108°/121.7020°
* marker position based on {}

Isolation sources categories

#Environmental

#Terrestrial

#Soil

What are isolation sources categories?

[Ref.: #69479]

Global distribution of 16S sequence KF040588 (>99% sequence identity) for Priestia taiwanensis subclade from Microbeatlas

Aquatic Samples	99
Soil Samples	401
Animal Samples	128
Plant Samples	45
Total Samples	673

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

[Ref.: #22584]

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.: #22584]	Priestia taiwanensis strain FJAT-14571 16S ribosomal RNA gene, partial sequence	KF040588	1448	GenBank ENA	1347902 tax ID

Genome sequence information:

	Sequence accession description	Seq. accession number	Assembly level	Sequence database	Associated NCBI tax ID
[Ref.: #66792]	Priestia taiwanensis CGMCC 1.12698	GCA_014638355	scaffold	GenBank ENA	1347902 tax ID	*
[Ref.: #66792]	Priestia taiwanensis DSM 27845	GCA_016908755	contig	GenBank ENA	1347902 tax ID	*
[Ref.: #66792]	Bacillus taiwanensis strain CGMCC 1.12698	1347902.3	wgs	PATRIC	1347902 tax ID	*
[Ref.: #66792]	Priestia taiwanensis strain DSM 27845	1347902.4	wgs	PATRIC	1347902 tax ID	*
[Ref.: #66792]	Priestia taiwanensis DSM 27845	2901186082	draft	JGI IMG/M	1347902 tax ID	*

[Ref.: #22584]

GC-content

40.8 mol%

thermal denaturation, midpoint method (Tm)

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: Priestia taiwanensis CGMCC 1.12698 NCBI: GCA_014638355.1
[Ref.: #125438]	gram-positive	gram-positiveⓘ	yes	70.035	no
[Ref.: #125438]	anaerobic	anaerobicⓘ	no	92.748	no
[Ref.: #125438]	aerobic	aerobicⓘ	yes	64.424	no
[Ref.: #125438]	spore-forming	spore-formingⓘ	yes	85.643	no
[Ref.: #125438]	thermophile	thermophilicⓘ	no	89.659	yes
[Ref.: #125438]	motile2+	flagellatedⓘ	yes	86.386	no

	Model	Trait	Prediction	Confidence in %
	Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Priestia taiwanensis CGMCC 1.12698 NCBI: GCA_014638355
[Ref.: #125439]	BacteriaNet	spore_formationⓘ	yes	91.7
[Ref.: #125439]	BacteriaNet	motilityⓘ	yes	88.2
[Ref.: #125439]	BacteriaNet	gram_stainⓘ	positive	75.9
[Ref.: #125439]	BacteriaNet	oxygen_toleranceⓘ	facultative anaerobe	94.6

Availability in culture collections External links

[Ref.: #22584]

Culture collection no.

DSM 27845, CGMCC 1.12698

[Ref.: #89797]

SI-ID 405023

Literature:

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Bacillus taiwanensis sp. nov., isolated from a soil sample from Taiwan.	Liu B, Liu GH, Sengonca C, Schumann P, Wang MK, Xiao RF, Zheng XF, Chen Z	Int J Syst Evol Microbiol	10.1099/ijs.0.000222	2015	*

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 )

#22584

Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 27845

#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 .

#89797

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-ID405023.1 )

#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 .

* These data were automatically processed and therefore are not curated

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Priestia taiwanensis CGMCC 1.12698

Priestia taiwanensis CGMCC 1.12698

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