Periodic Reporting for period 1 - RESISTREE (Identification of Phytophthora resistant beech trees by composition of endophyte communities, lesion formation and phenomics approaches.)
Periodo di rendicontazione: 2020-01-01 al 2021-12-31
The first WP was about structural characterization of endophyte community. The intention of the WP1 was to characterize the endophyte fungal community associated with different vitality of the trees. The results showed that the number and abundance of fungal taxa were not different between vitality classes. However, we found differences in the diversity between trees with Phytophthora spp. and trees without them indicating that it was likely that the presence of the pathogen was shaping the composition of the overall microbial community.
The second WP was about the functional characterization of endophytes. The objective of the WP was to describe the antagonistic potential and niche requirements of selected fungal endophytes against the pathogen (several Phytophthora spp). Our results showed that all of the endophytes tested inhibited the growth of at least one of the three pathogens (P. plurivora, P. cambivora, and P. syringae). Preliminary results also showed that pathogens and endophytes used carbon and nitrogen sources in different ways. These results open a door of possibilities for biological control agents and commercial formulations.
The WP3 was about the tissue and cellular level processes in lesion formation. The aim of the WP was to describe the process of lesion formation in woody tissues, with emphasis on possible alterations in fungal communities at the progressing lesion edge. We found out that the community composition of the fungal microbiome was dependent on the presence of the pathogen since control plants differed from inoculated ones. The time of sampling was also a significant factor in our study, indicating that the lesion was correlated with the fungal community composition. The results confirmed our initial hypothesis that the presence of the pathogen changes the fungal community composition around the lesions and over the time of infection.
The WP4 was about phenomics approach as a tool in early diagnosis. The objective was to detect morphological and physiological changes in seedling at early stages of the infection (before lesion formation or other symptoms are visible) using RGB and thermal imaging. The pipelines for acquiring the images were adjusted to the new plant species and images were processed by extracting green leaf area projection of the plant color images. The preliminary results showed that control plants differed from inoculated ones. This approach provided information about disease symptoms not visible by the eye allowing for earlier symptom detection and reducing human subjectivity in trait quantification.