Stefania Loreti
Profile Url: stefania-loreti
Researcher at CREA-DC
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Video Abstract (AI generated)
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Xylella fastidiosa is an insect vector-transmitted bacterial plant pathogen associated with severe diseases in a wide range of plants. In last decades, X. fastidiosa was detected in several European countries. Among X. fastidiosa subspecies, here we study X. fastidiosa subsp. pauca associated with the Olive Quick Decline Syndrome (OQDS) causing severe losses in Southern Italy. First, we collected Olea europaea L. (cv. Ogliarola salentina) samples in groves located in infected zones and uninfected zones. Secondly, the untargeted LC-TOF analysis of the lipid profiles of OQDS positive (+) and negative (-) plants showed a significant clustering of OQDS+ samples apart from OQDS- ones. Thirdly, using HPLC-MS/MS targeted methods and chemometric analysis, we identified a shortlist of 10 lipids significantly different in the infected versus healthy samples. Last, we observed a clear impact on X. fastidiosa subsp. pauca growth and biofilm formation in vitro liquid cultures supplemented with these compounds. Considering that growth and biofilm formation are primary ways by which X. fastidiosa causes disease, our results demonstrate that lipids produced as part of the plant's immune response can exacerbate the disease. This is reminiscent of an allergic reaction in animal systems, offering the depression of plant immune response as a potential strategy for OQDS treatment
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Video Abstract (AI generated)
Paper
Preprint
Xylella fastidiosa ( Xf ) is a polyphagous gram-negative bacterial plant pathogen that can infect more than 300 plant species. It is endemic in America while, in 2013, Xf subsp. pauca was for the first time reported in Europe on olive tree in the Southern Italy. The availability of fast and reliable diagnostic tools is indispensable for managing current and future outbreaks of Xf . In this work, we used the Oxford Nanopore Technologies (ONT) device MinION platform for detecting and identifying Xf at species, subspecies and Sequence Type (ST) level straight from infected plant material. The study showed the possibility to detect Xf by direct DNA sequencing and identify the subspecies in highly infected samples. In order to improve sensitivity, Nanopore amplicon sequencing was assessed. Using primers within the set of the seven MLST officially adopted for identifying Xf at type strain level, we developed a workflow consisting in a multiple PCR and an ad hoc pipeline to generate MLST consensus after Nanopore-sequencing of the amplicons. The here-developed combined approach achieved a sensitivity higher than real-time PCR allowing within few hours, the detection and identification of Xf at ST level in infected plant material, also at low level of contamination.