The use of δ(2)H and δ(18)O isotopic analyses combined with chemometrics as a traceability tool for the geographical origin of bell peppers.

Two approaches were investigated to discriminate between bell peppers of different geographic origins. Firstly, δ(18)O fruit water and corresponding source water were analyzed and correlated to the regional GNIP (Global Network of Isotopes in Precipitation) values. The water and GNIP data showed good correlation with the pepper data, with constant isotope fractionation of about -4. Secondly, compound-specific stable hydrogen isotope data was used for classification. Using n-alkane fingerprinting data, both linear discriminant analysis (LDA) and a likelihood-based classification, using the kernel-density smoothed data, were developed to discriminate between peppers from different origins. Both methods were evaluated using the δ(2)H values and n-alkanes relative composition as variables. Misclassification rates were calculated using a Monte-Carlo 5-fold cross-validation procedure. Comparable overall classification performance was achieved, however, the two methods showed sensitivity to different samples. The combined values of δ(2)H IRMS, and complimentary information regarding the relative abundance of four main alkanes in bell pepper fruit water, has proven effective for geographic origin discrimination. Evaluation of the rarity of observing particular ranges for these characteristics could be used to make quantitative assertions regarding geographic origin of bell peppers and, therefore, have a role in verifying compliance with labeling of geographical origin.

Development and validation of a real-time RT-PCR assay for generic detection of pospiviroids.

In many countries phytosanitary regulations apply to Potato spindle tuber viroid, because it can cause serious diseases in potato and tomato crops. Other pospiviroids, some of which are distributed widely in ornamental crops, can cause similar diseases. Consequently, there is a need for a reliable and cost-effective generic testing method. An assay was developed that detects all known species of the genus Pospiviroid, using real-time RT-PCR based on TaqMan technology. This GenPospi assay consists of two reactions running in parallel, the first targeting all pospiviroids, except Columnea latent viroid, the second specifically targeting the latter viroid (already published). To monitor the RNA extraction a nad5 internal control was included. Method validation on tomato leaves showed that the GenPospi assay detects all pospiviroids up to a relative infection rate of 0.13% (equals 770 times dilution). The assay was specific because no cross reactivity was observed with other viroids, viruses or nucleic acid from plant hosts. Repeatability and reproducibility were 100% and the assay appeared robust in an inter-laboratory comparison. The GenPospi assay has been shown to be a suitable tool for large-scale screening for all known pospiviroids. Although it has been validated for tomato leaves it can potentially be used for any crop.