An Inter-Laboratory Comparative Study on the Influence of Reagents to Perform the Identification of the Xylella fastidiosa Subspecies Using Tetraplex Real Time PCR.

Autor: Pucci, Nicoletta, Scala, Valeria, Cesari, Erica, Crosara, Valeria, Fiorani, Riccardo, L'Aurora, Alessia, Lucchesi, Simone, Tatulli, Giuseppe, Barra, Eleonora, Ciarroni, Serena, De Amicis, Francesca, Fascella, Salvatore, Giacobbi, Francesca, Gaffuri, Francesca, Gualandri, Valeria, Landi, Lucia, Loconsole, Giuliana, Molinatto, Giulia, Pollastro, Stefania, Raimondo, Maria Luisa
Předmět:
Zdroj: Horticulturae; Sep2023, Vol. 9 Issue 9, p1053, 17p
Abstrakt: In 2022, a test performance study (TPS) assessing the influence of different master mixes on the performance of the tetraplex real-time PCR (TqPCR) assay was organized. TqPCR allows for the specific detection and identification of Xylella fastidiosa (Xf) subspecies in a single reaction. Eighteen official laboratories of the Italian National Plant Protection Organization received a panel of 12 blind samples, controls, primers, probes, and different master mixes to participate in the TPS. Furthermore, the Research Centre for Plant Protection and Certification of the Council for Agricultural Research and Economics performed an intra-laboratory study (ITS) on spiked plant matrices to evaluate the analytical sensitivity of TqPCR employing the selected master mixes with the best performance. Naturally infected samples were analyzed for subspecies identification via TqPCR compared with the official multilocus-sequence-typing (MLST) method. The best results in this comparative study were obtained using Fast Universal PCR Master Mix (Applied Biosystems) and Brilliant multiplex QPCR Master Mix (Agilent), and they confirmed that the TqPCR test is reliable, offering the advantage of identifying this subspecies at the same time, thus saving time and resources. The TqPCR assay is suggested among the tests to be used by laboratories performing the official diagnosis of Xf to support the activities of official monitoring. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index