Real-time PCR technologies open increasing opportunities to detect and study phytopathogenic and antagonistic fungi. They combine the sensitivity of conventional PCR with the generation of a specific fluorescent signal providing real-time analysis of the reaction kinetics and allowing quantification of specific DNA targets. Four main chemistries are currently used for the application of this technique in plant pathology. These chemistries can be grouped into amplicon sequence non-specific (SYBR Green I) and sequence specific (TaqMan, Molecular beacons, and Scorpion-PCR) methods. Amplicon sequence nonspecific methods are based on the use of a dye that emits fluorescent light when intercalated into doublestranded DNA. Amplicon sequence specific methods are based on the use of oligonucleotide probes labelled with a donor fluorophore and an acceptor dye (quencher). The fluorescent signal eliminates the requirement for post-amplification processing steps, such as gel electrophoresis and ethidium bromide staining. This significantly reduces time and labour required for the analysis and greatly increases the throughput of PCR testing as an automated diagnostic system, making it suitable for large-scale analyses. Furthermore, the use of different fluorescent dyes facilitates the detection of several target microrganisms in a single reaction (multiplex-PCR). Real-time PCR makes possible an accurate, reliable and high throughput quantification of target fungal DNA in various environmental samples, including hosts tissues, soil, water and air, thus opening new research opportunities for the study of diagnosis, inoculum threshold levels, epidemiology and host-pathogen interactions. Moreover, the quantification of specific mRNA transcription by real-time PCR is being increasingly applied to the study of changes in gene expression in response to phytopathogenic and antagonistic fungi.

The quantification of messenger RNA expression levels by real-time reverse-transcription polymerase chain reaction requires the availability of reference genes that are stably expressed regardless of the experimental conditions under study. We examined the expression variations of a set of eight candidate reference genes in tomato leaf and root tissues subjected to the infection of five taxonomically and molecularly different plant viruses and a viroid, inducing diverse pathogenic effects on inoculated plants. Parallel analyses by three commonly used dedicated algorithms, geNorm, NormFinder and BestKeeper, showed that different viral infections and tissues of origin influenced, to some extent, the expression levels of these genes. However, all algorithms showed high levels of stability for glyceraldehyde 3-phosphate dehydrogenase and ubiquitin, indicated as the most suitable endogenous transcripts for normalization in both tissue types. Actin and uridylate kinase were also stably expressed throughout the infected tissues, whereas cyclophilin showed tissue-specific expression stability only in root samples. By contrast, two widely employed reference genes, 18S ribosomal RNA and elongation factor 1α, demonstrated highly variable expression levels that should discourage their use for normalization. In addition, expression level analysis of ascorbate peroxidase and superoxide dismutase showed the modulation of the two genes in virus-infected tomato leaves and roots. The relative quantification of the two genes varied according to the reference genes selected, thus highlighting the importance of the choice of the correct normalization method in such experiments.

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