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Europe PubMed Central
Other literature type . 1993
Data sources: PubMed Central
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Applied and Environmental Microbiology
Article . 1993
License: ASM Journals Non-Commercial TDM
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Arbitrary primer polymerase chain reaction, a powerful method to identify Bacillus thuringiensis serovars and strains

Authors: R, Brousseau; A, Saint-Onge; G, Préfontaine; L, Masson; J, Cabana;

Arbitrary primer polymerase chain reaction, a powerful method to identify Bacillus thuringiensis serovars and strains

Abstract

Arbitrary primer polymerase chain reaction technology has been applied to the identification of commercial strains of Bacillus thuringiensis by using total DNAs extracted from single bacterial colonies as templates. Characteristic DNA banding patterns can be readily and reproducibly obtained by agarose gel electrophoresis. This method has been used to distinguish commercial products containing B. thuringiensis serovar kurstaki (3a3b). When a single primer was used this method was capable of producing discriminating DNA fingerprints for 33 known serovars. Differentiation from the closely related species Bacillus cereus is also readily achieved. This technique should prove to be a powerful tool for identification and discrimination of individual B. thuringiensis strains.

Subjects by Vocabulary

Microsoft Academic Graph classification: Bacillus cereus Biology law.invention chemistry.chemical_compound law Bacillus thuringiensis Polymerase chain reaction Genetics Bacillaceae biology.organism_classification chemistry DNA profiling Agarose gel electrophoresis Primer (molecular biology) DNA

Keywords

DNA, Bacterial, Molecular Sequence Data, Bacillus thuringiensis, Polymerase Chain Reaction, Applied Microbiology and Biotechnology, Bacillus cereus, Species Specificity, Serotyping, Sequence Deletion, Base Sequence, Ecology, DNA Fingerprinting, Genes, Bacterial, Research Article, Food Science, Biotechnology

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    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
  • citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    129
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
129
Top 10%
Top 1%
Top 10%
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