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Non-gel based techniques for plant pathogen genotyping.

Authors: Kamel A, Abd-Elsalam;

Non-gel based techniques for plant pathogen genotyping.

Abstract

The introduction of real-time PCR technology has significantly improved and simplified the quantification of nucleic acids, and this technology has become an invaluable tool for many scientists working in different disciplines. Particularly in the field of molecular diagnostics and genotyping, real-time PCR-based assays have gained favour in the recent past. Rapid real-time PCR diagnosis can result in appropriate control measures and eradication procedures in a faster and more accurate way than traditional methods based on pathogen isolation. Real-time quantitative PCR represents a highly sensitive and powerful technique for the gel-free detection of nucleic acids. In this review, the main chemistries used for the detection of PCR product during real-time PCR, as well as advantages and limitations of real-time PCR will be depicted. Furthermore, the existing literature as it applies to plant pathogens detection in the routine and research laboratory will be reviewed in order to focus on one of the many areas in which the application of real-time PCR has provided significant methodological benefits.

Related Organizations
Keywords

DNA, Bacterial, DNA, Viral, Plants, DNA, Fungal, Polymerase Chain Reaction, Plant Diseases, Plant Viruses

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selected citations
These citations are derived from selected sources.
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!
0
Average
Average
Average
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