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Alexandros Mosca

Research Fellow
Scientific Tutor: Vittoria Catara
Membership Section: Plant Pathology
Contacts

Office: Corpo C, Piano 1, Stanza 2
Email: alexandros.mosca@unict.it
Web Site: x.com/alexandrosmosca

2024-2026: Post doc researcher, Department of Agriculture, Food and Environment (Di3A). Supervisor: Prof. Vittoria Catara

May 2024 - August 2024: Visiting research as post doc at the Swedish University of Agricultural Sciences. Local supervisor: Prof. Ramesh R. Vetukuri

November 2022 - May 2023: Visiting research as PhD student at the Data Analysis Group (Computational Biology division), School of Life Sciences, University of Dundee (United Kingdom). Local supervisors: Prof. Geoffrey Barton,  Dr. Davide Bulgarelli and Dr. James Abbott.

2020-2024: PhD student in Complex systems of physical, socio-economic and life sciences, Department of Physics and Astronomy 'E. Majorana', University of Catania (grant financed by the Operational plan, European Social Fund, Regione Siciliana, 2014-2020). Research project: Metagenomics applied to the study of the plant microbiome. Supervisor: Prof. Alfredo Pulvirenti; Co-supervisor: Prof. Vittoria Catara

2017-2020: Master’s Degree in Agricultural Biotechnology (LM-7), University of Catania. Supervisor: Dr. Mario Di Guardo. Mario Di Guardo. Degree thesis: Genetic characterization and GWAS study of an almond germplasm collection through the use of SNP array. Final mark: 110/110 and praise. First classification of the Best thesis on almond “Raffaele Trua” Prize, March 26th 2021, Department of Agriculture and Forest Science, University of Tuscia (Viterbo, Italy).

2014-2017: Bachelor’s Degree in Agricultural and Technology Sciences (L-25), University of Catania; supervisor: Prof. Matilde Tessitori. Degree thesis: Beneficial use of plant pathogens in agriculture. Final mark: 108/110.

Scientific societies membership:

Associated Member of the Bioinformatic Italian Society (BITS) (November 2022).

The main research activities are focused on the bioinformatic analysis of data derived from the high-throughput amplicon sequencing and the shotgun metagenomics sequencing. In particular, great attention is devoted to the microbial communities identification of the root environment in plants affected by plant pathogens or subjected to abiotic stresses (e.g. water or salinity deficit). Microbial interactions through the application of the network analysis are also a research topic of particular interest to explore the changes of the microbial structure and identify the so-called keystone taxa.
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