Ilaria Boschi
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Research Subjects
Ilaria Boschi has a total of 63 co-authors. Here are the top co-authors by number of shared publications:
- Adriana Alexandra Ibarra-Rodríguez
Clinical Cardiac Electrophysiologist, Quito
1 shared publication - Aikaterini Papaioannou
Committee on Missing Persons Cyprus (CMP) Anthropological Laboratory, Nicosia, Cyprus
1 shared publication - Alessandra Caglia
Dipartimento di Biologia Animale e dell'Uomo, Università La Sapienza, Rome, Italy
1 shared publication - Alessio Farcomeni
Department of Enterprise Engineering, University of Rome Tor Vergata, Rome, Italy
1 shared publication - Ana María López-Parra
Legal Medicine, Psychiatry and Pathology Department, Medicine School, Complutense University of Madrid, Madrid, Spain
1 shared publication - Andrea Piccinini
Section of Legal Medicine and Insurance Medicine, Department of Biomedical Sciences for Health, University of Milan, Via Luigi Mangiagalli 37, 20133 Milan, Italy
1 shared publication
Latest Publications
- 1 July 2021
- Published by Elsevier in Forensic Science International: Genetics
- Vol. 53, 102527
Second GHEP-ISFG exercise for DVI: “DNA-led” victims’ identification in a simulated air crash
- 1 July 2021
- Published by Elsevier in Forensic Science International: Genetics
- Vol. 53, 102527
Second GHEP-ISFG exercise for DVI: “DNA-led” victims’ identification in a simulated air crash
- 1 September 2020
- Published by Elsevier in Forensic Science International
- Vol. 314, 110387
Evaluation of critical aspects in clinical and forensic management of sexual violence: A multicentre Ge.F.I. project
- 1 September 2020
- Published by Elsevier in Forensic Science International
- Vol. 314, 110387
Evaluation of critical aspects in clinical and forensic management of sexual violence: A multicentre Ge.F.I. project
- Open Access
Highly Predictive Genetic Markers Distinguish Drug-Type from Fiber-Type Cannabis sativa L
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.
Open AccessHighly Predictive Genetic Markers Distinguish Drug-Type from Fiber-Type Cannabis sativa L
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.
- 1 January 2003
- Published by Project MUSE in Human Biology
- Vol. 75 (3) , 313-330
A Study of Y-Chromosome Microsatellite Variation in Sub-Saharan Africa: A Comparison between F ST and R ST Genetic Distances
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.
- 1 January 2003
- Published by Project MUSE in Human Biology
- Vol. 75 (3) , 313-330
A Study of Y-Chromosome Microsatellite Variation in Sub-Saharan Africa: A Comparison between F ST and R ST Genetic Distances
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.