Ilaria Boschi

Ilaria Boschi

*This is an algorithmically generated author record based on publicly available information.

Current Organizations / Institutes

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Previous Organizations / Institutes

The organizations / institutes from the scholar's other articles in the past ten years


Ilaria Boschi has a total of 63 co-authors. Here are the top co-authors by number of shared publications:


Latest Publications

  • Second GHEP-ISFG exercise for DVI: “DNA-led” victims’ identification in a simulated air crash

    by Carlos M. Vullo, Laura Catelli, Adriana A. Ibarra Rodriguez, Aikaterini Papaioannou, J. Carlos Álvarez Merino, Am Lopez-Parra, Aníbal Gaviria, Carlos Baeza-Richer, Carola Romanini, Esperanza González-Moya, et al.


  • Evaluation of critical aspects in clinical and forensic management of sexual violence: A multicentre Ge.F.I. project

    by Sarah Gino, Marco Bo, Rossana Ricciardelli, Milena Alù, Ilaria Boschi, Eugenia Carnevali, Matteo Fabbri, Paolo Fattorini, Andrea Piccinini, Carlo Previderè, et al.


  • Open Access

    Highly Predictive Genetic Markers Distinguish Drug-Type from Fiber-Type Cannabis sativa L

    by Fidelia Cascini, Alessio Farcomeni, Daniele Migliorini, Laura Baldassarri, Ilaria Boschi, Simona Martello, Stefano Amaducci, Luigi Lucini, Jamila Bernardi

    Genetic markers can be used in seeds and in plants to distinguish drug-type from fiber-type Cannabis Sativa L. varieties even at early stages, including pre-germination when cannabinoids are not accumulated yet. With this aim, this paper reports sequencing results for tetrahydrocannabinolic acid synthase (THCAS) and cannabidiolic acid synthase (CBDAS) genes from 21 C. sativa L. varieties. Taking into account that THCAS- and CBDAS-derived enzymes compete for the same substrate, the novelty of this work relies in the identification of markers based on both THCAS and CBDAS rather than THCAS alone. Notably, in our panel, we achieved an adequate degree of discrimination (AUC 100%) between drug-type and fiber-type cannabis samples. Our sequencing approach allowed identifying multiple genetic markers (single-nucleotide polymorphisms—SNPs—and a deletion/insertion) that effectively discriminate between the two subgroups of cannabis, namely fiber type vs. drug type. We identified four functional SNPs that are likely to induce decreased THCAS activity in the fiber-type cannabis plants. We also report the finding on a deletion in the CBDAS gene sequence that produces a truncated protein, possibly resulting in loss of function of the enzyme in the drug-type varieties. Chemical analyses for the actual concentration of cannabinoids confirmed the identification of drug-type rather than fiber-type genotypes. Genetic markers permit an early identification process for forensic applications while simplifying the procedures related to detection of therapeutic or industrial hemp.


  • A Study of Y-Chromosome Microsatellite Variation in Sub-Saharan Africa: A Comparison between F ST and R ST Genetic Distances

    by Alessandra Caglia, Sergio Tofanelli, Valentina Coia, Ilaria Boschi, Marina Pescarmona, Gabriella Spedini, Vincenzo Pascali, Giorgio Paoli, Giovanni Destro-Bisol

    Seven Y-chromosome microsatellite loci (DYS19, DYS389I, DYS389II, DYS390, DYS391, DYS392, and DYS393) were analyzed in three populations from sub-Saharan Africa: the Bamileke and Ewondo populations from Cameroon and the Hutu from Rwanda. Complete typing was obtained for 112 individuals, and a total of 53 different haplotypes was observed. The single-locus gene diversity, averaged across populations, ranges from 0.100 for the DYS392 locus to 0.610 for the DYS389I locus. The haplotype diversity ranges from 0.832 (Ewondo) to 0.965 (Hutu), with an intermediate value of 0.918 in the Bamileke. The diversity among Bamileke, Ewondo, Hutu, and other sub-Saharan populations selected from the literature was analyzed using both a classical (FST) and a stepwise-based (RST) genetic distance method. The pattern of interpopulational diversity based on FST was congruent with anthropological knowledge, while that based on RST revealed unexpected and unconvincing population affinities. From a practical point of view, our study indicates that Y-chromosome microsatellite data may provide useful information for analyses of interpopulational diversity among sub-Saharan populations if an adequate number of loci and individuals along with an appropriate genetic distance method are used. On a theoretical ground, we propose that the lesser performance of RST compared to FST could be explained by the important role played by genetic drift in shaping the relationships among examined populations.