Name: Bacillus anthracis ATCC 14578
Creator: BacDive
License: https://creativecommons.org/licenses/by/4.0/

Strain identifier

BacDive ID: 168990

Type strain:

Species: Bacillus anthracis

Culture col. no.: ATCC 14578, NCTC 10340, CIP 66.17

NCBI tax ID(s): 1392 (species)

SI-ID 93137

ATCC 14578, NCTC 10340, NCIB 9388, CIP 66.17

Special Collections

Section

When using BacDive for research please cite our paper

Bacillus anthracis ATCC 14578 is a bacterium of the family Bacillaceae.

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	*Bacillus*
	Species	**Bacillus anthracis**
	Full Scientific Name (LPSN)	Bacillus anthracis Cohn 1872 (Approved Lists 1980)

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

[Ref.: #69479]

Global distribution of 16S sequence AB190217 (>99% sequence identity) for Bacillus from Microbeatlas

Aquatic Samples	446
Soil Samples	1920
Animal Samples	1524
Plant Samples	1079
Total Samples	4969

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

[Ref.: #20215]

Biosafety level

Risk group

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.: #20215]	Bacillus anthracis gene for 16S rRNA, partial sequence, strain:ATCC 14578	AB190217	1306	GenBank ENA	1392 tax ID
[Ref.: #124043]	Bacillus anthracis strain ATCC 14578 16S ribosomal RNA gene, partial sequence.	KC020169	1311	GenBank ENA	1392 tax ID	*
[Ref.: #124043]	Bacillus anthracis strain ATCC 14578 16S ribosomal RNA gene, partial sequence.	KC119183	770	GenBank ENA	1392 tax ID	*
[Ref.: #124043]	Bacillus anthracis strain ATCC 14578 16S ribosomal RNA gene, partial sequence.	JQ406589	1311	GenBank ENA	1392 tax ID	*

Genome sequence information:

	Sequence accession description	Seq. accession number	Assembly level	Sequence database	Associated NCBI tax ID
[Ref.: #66792]	Bacillus anthracis str. A0488	486624.3	wgs	PATRIC	486624 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: Bacillus anthracis str. A0488 PATRIC: 486624.3
[Ref.: #125438]	gram-positive	gram-positiveⓘ	yes	73.294	no
[Ref.: #125438]	anaerobic	anaerobicⓘ	no	90.546	no
[Ref.: #125438]	spore-forming	spore-formingⓘ	yes	86.101	no
[Ref.: #125438]	aerobic	aerobicⓘ	no	51.71	no
[Ref.: #125438]	thermophile	thermophilicⓘ	no	97.335	no
[Ref.: #125438]	motile2+	flagellatedⓘ	yes	82.931	no

	Model	Trait	Prediction	Confidence in %
	Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Bacillus anthracis str. A0488 PATRIC: 486624.3
[Ref.: #125439]	BacteriaNet	spore_formationⓘ	yes	77.5
[Ref.: #125439]	BacteriaNet	motilityⓘ	yes	70.8
[Ref.: #125439]	BacteriaNet	gram_stainⓘ	variable	73
[Ref.: #125439]	BacteriaNet	oxygen_toleranceⓘ	facultative anaerobe	77.2

Availability in culture collections External links

[Ref.: #20215]

Culture collection no.

ATCC 14578, NCTC 10340, CIP 66.17

[Ref.: #115331]

SI-ID 93137

Literature:

Topic	Title	Authors	Journal	DOI	Year
Pathogenicity	Green synthesis of multifunctional silver and gold nanoparticles from the oriental herbal adaptogen: Siberian ginseng.	Abbai R, Mathiyalagan R, Markus J, Kim YJ, Wang C, Singh P, Ahn S, Farh Mel-A, Yang DC	Int J Nanomedicine	10.2147/IJN.S108549	2016	*
Metabolism	Morphology of the type strain of Bacillus anthracis EY 3169T=ATCC 14578T grown either aerobically or anaerobically on agar plates--observation by light and laser microscopes.	Yabuuchi E, Koseki M	Microbiol Immunol	10.1111/j.1348-0421.2003.tb03410.x	2003	*
	Characterization and antimicrobial application of biosynthesized gold and silver nanoparticles by using Microbacterium resistens.	Wang C, Singh P, Kim YJ, Mathiyalagan R, Myagmarjav D, Wang D, Jin CG, Yang DC	Artif Cells Nanomed Biotechnol	10.3109/21691401.2015.1089253	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 )

#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 .

#115331

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-ID93137.1 )

#124043

Isabel Schober, Julia Koblitz: Data extracted from sequence databases, automatically matched based on designation and taxonomy .

#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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Bacillus anthracis str. A0488

Bacillus anthracis str. A0488

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