Xylella fastidiosa is a vascular plant pathogenic bacterium native to the Americas that is causing significant epidemics and economic losses in olive and almonds in Europe, where it is a quarantine pathogen. Since its first detection in 2013 in Italy, mandatory surveys across Europe revealed the presence of the bacterium also in France, Spain, and Portugal. Combining Oxford Nanopore Technologies and Illumina sequencing data, we assembled high-quality complete genomes of seven X. fastidiosa subsp. fastidiosa strains isolated from different plants in Spain, the United States, and Mexico. Comparative genomic analyses discovered differences in plasmid content among strains, including plasmids that had been overlooked previously when using the Illumina sequencing platform alone. Interestingly, in strain CFBP8073, intercepted in France from plants imported from Mexico, three plasmids were identified, including two (plasmids pXF-P1.CFBP8073 and pXF-P2.CFBP8073) not previously described in X. fastidiosa and one (pXF5823.CFBP8073) almost identical to a plasmid described in a X. fastidiosa strain from citrus. Plasmids found in the Spanish strains here were similar to those described previously in other strains from the same subspecies and ST1 isolated in the Balearic Islands and the United States. The genome resources from this work will assist in further studies on the role of plasmids in the epidemiology, ecology, and evolution of this plant pathogen.
Strains of the bacterial pathogen Xylella fastidiosa subspecies multiplex (Xfm) and pauca (Xfp) isolated from symptomatic almond and olive plants in Spain and Italy were used in this study. Because of the risk of host jump and considering the importance of southern highbush blueberry production in Spain, we tested a small set of these strains for their potential to infect and cause disease symptoms in blueberries under greenhouse experiments. Xfm IVIA5901 (isolated from almonds in Alicante, Spain) caused symptoms similar to those caused by Xfm AlmaEm3 (isolated from blueberries in Georgia, U.S.A., and used as a reference strain capable of inducing severe symptoms in blueberry). Nevertheless, bacterial populations of Xfm IVIA5901 in planta were significantly lower than those of Xfm AlmaEm3. Xfm ESVL (isolated from almonds, Alicante, Spain) and Xfp XYL1961/18 (isolated from olives, Ibiza Island, Spain) caused limited symptoms, while Xfm XYL466/19 (isolated from wild olives, Mallorca Island, Spain) and Xfm XF3348 (isolated from almonds, Mallorca Island, Spain) and Xfp De Donno (isolated from olives, Puglia, Italy, and representative of the devastating olive quick decline syndrome) did not cause symptoms nor colonize blueberries. This study suggests that certain strains already found in Europe could infect blueberry if conditions conducive for a host jump in this region are met, such as proximity of blueberries to other infected hosts and presence of insect vectors that feed on these crops. Surveys on the presence of X. fastidiosa in blueberries in Spain and other European countries are needed to anticipate possible issues.
Emergence of Xylella fastidiosa (Xf) in Europe threatens agriculture and natural ecosystems. Its adaptability to diverse environments raises concerns regarding potential host shifts and increased virulence. Effective disease management depends on accurate and timely detection. Additionally, understanding its interaction with local host cultivars is essential for developing risk mitigation measures. This study evaluated the pathogenicity and the extension of stem colonization of five Xf strains from different subspecies, isolated from almond and olive trees in Spain and Italy, inoculated on three widely cultivated Spanish olive cultivars. All strains successfully infected and colonized olive plants, although detection frequencies decreased over time, and none of the strains induced disease symptoms. Overall, strains XYL1961/18 and De Donno from subspecies pauca showed higher colonization frequencies and bacterial loads compared with strains from subspecies multiplex. Furthermore, physiological responses were assessed using leaf spectral data retrieved with handheld proximal sensors, enabling the calculation of 74 vegetation indices to detect physiological alterations linked to infection status in asymptomatic plants. Of the 74 indices, between 17 and 31, mainly related to pigment composition (carotenoids, flavonoids, and xanthophylls), were selected as reliable predictors (>90% accuracy) of infection status across strains and olive cultivars. This study highlights the importance of evaluating the extent of stem colonization and interactions among local olive cultivars and Xf strains from different subspecies. We showed that proximal sensing may offer a promising noninvasive tool for early detection and monitoring of Xf infection, supporting timely management, thereby reducing the risk of new outbreaks. These methodologies may also assist in breeding programs aimed at developing Xf-resistant olive cultivars.