Mitochondrial Inheritance, Mito-nuclear Coevolution, and Sex-associated Genes in Bivalve Molluscs: Transcriptomics and Molecular Evolution

Bivalvia represents an ancient taxon including around 25,000 living species that have adapted to a wide range of environmental conditions, and show a great diversity in body size, shell shapes, and anatomic structure. Bivalves are characterized by highly variable genome sizes and extremely high levels of heterozygosity, which obstacle complete and accurate genome assemblies and hinder further genomic studies. Moreover, some bivalve species presented a stable evolutionary exception to the strictly maternal inheritance of mitochondria, namely doubly uniparental inheritance (DUI), making these species a precious model to study mitochondrial biology. During my PhD, I focused on a DUI species, the Manila clam Ruditapes philippinarum, and my work was two-folded. First, taking advantage of a newly assembled draft genome and a large RNA-seq dataset from different tissues of both sexes, I investigated 1) the role of gene expression and alternative splicing in tissue differentiation; 2) the relationship across tissue specificity, regulatory network connectivity, and sequence evolution; 3) sexual contrasting genetic markers potentially associated with sexual differentiation. The detailed information for this part is in Chapter 2. Second, using the same RNA-seq data, I investigated how nuclear oxidative phosphorylation (OXPHOS) genes coordinate with two divergent mitochondrial genomes in DUI species (mito-nuclear coordination and coevolution). To address this question, I compared transcription, polymorphism, and synonymous codon usage in the mitochondrial and nuclear OXPHOS genes of R. philippinarum in Chapter 3. To my knowledge, this thesis represents the first study exploring the role of alternative splicing in tissue differentiation, and the first study analyzing both transcriptional regulation and sequence evolution to investigate the coordination of OXPHOS genes in bivalves.

Deep learning and spatial transcriptomics to investigate thyroid tumors

There are many diseases that affect the thyroid gland, and among them are carcinoma. Thyroid cancer is the most common endocrine neoplasm and the second most frequent cancer in the 0-49 age group. This thesis deals with two studies I conducted during my PhD. The first concerns the development of a Deep Learning model to be able to assist the pathologist in screening of thyroid cytology smears. This tool created in collaboration with Prof. Diciotti, affiliated with the DEI-UNIBO "Guglielmo Marconi" Department of Electrical Energy and Information Engineering, has an important clinical implication in that it allows patients to be stratified between those who should undergo surgery and those who should not. The second concerns the application of spatial transcriptomics on well-differentiated thyroid carcinomas to better understand their invasion mechanisms and thus to better comprehend which genes may be involved in the proliferation of these tumors. This project specifically was made possible through a fruitful collaboration with the Gustave Roussy Institute in Paris. Studying thyroid carcinoma deeply is essential to improve patient care, increase survival rates, and enhance the overall understanding of this prevalent cancer. It can lead to more effective prevention, early detection, and treatment strategies that benefit both patients and the healthcare system.

Analisi del profilo tossicologico e cancerogeno del particolato atmosferico e identificazione dei rischi per la salute umana correlati all'esposizione

Gli impianti di incenerimento di rifiuti solidi suscitano preoccupazione nella popolazione per i possibili effetti avversi associati all’esposizione. Gli effetti delle polveri sottili (PM2.5), generate dai processi di combustione, sulla salute umana includono l’insorgenza di patologie a carico del sistema respiratorio e cardiovascolare e l’aumento della mortalità per malattie polmonari e probabilmente cancro al polmone. Lo scopo della tesi è quello di valutare il profilo tossicologico e cancerogeno del particolato atmosferico in prossimità dell’inceneritore di Bologna rispetto alle aree adiacenti mediante l’utilizzo di test alternativi alle metodologie in vivo, come il test di trasformazione cellulare e approcci di tossicogenomica (soprattutto trascrittomica) oltre alla valutazione della variazione del rischio cancerogeno indotto dall’esposizione di PM2.5 in diversi siti (massima ricaduta, controllo, fondo urbano e fondo rurale) e in differenti periodi di campionamento (estate 2008 e inverno 2009). Gli estratti di PM2.5 relativi alla stagione invernale sono risultati più tossici rispetto ai campioni estivi, che inducono tossicità soprattutto alle alte dosi. Per i campioni invernali il numero medio di colonie di cellule BALB/c 3T3 A31-1-1 risulta ridotto in modo significativo anche per le dosi più basse saggiate indipendentemente dal sito di provenienza. Tutti i campioni analizzati sono risultati negativi nel test di trasformazione cellulare in vitro. L’analisi dell’espressione genica delle cellule BALB/c 3T3 A31-1-1, in seguito all’esposizione agli estratti di PM2.5, ha mostrato un effetto stagionale evidente. Relativamente ai campioni invernali è stato evidenziato un maggior effetto tossico da parte del sito di controllo rispetto alla massima ricaduta, poiché nel sito di controllo risultano attivati marcatori di morte cellulare per apoptosi. La valutazione del rischio cancerogeno in tutti i siti valutati non mostra situazioni preoccupanti legate alla predizione di eccessi di rischio di tumori imputabili all’attività dell’inceneritore in quanto le stime di rischio non eccedono mai il valore limite riportato in letteratura.

Genomic and proteomic approaches in pig meat quality research field

Pig meat and carcass quality is a complex concept determined by environmental and genetic factors concurring to the phenotypic variation in qualitative characteristics of meat (fat content, tenderness, juiciness, flavor,etc). This thesis shows the results of different investigations to study and to analyze pig meat and carcass quality focusing mainly on genomic; moreover proteomic approach has been also used. The aim was to analyze data from association studies between genes considered as candidate and meat and carcass quality in different pig breeds. The approach was used to detect new SNP in genes functionally associated to the studied traits and to confirm as candidate other genes already known. Five polymorphisms (one new SNP in Calponin 1 gene and four additional polymorphism already known in other genes) were considered on chromosome 2 (SSC2). Calponin 1 (CNN1) was associated to the studied traits and furthermore the results reported confirmed the data already known for Lactate dehydrogenase A (LDHA), Low density lipoprotein receptor (LDLR), Myogenic differentiation 1 (MYOD1) e Ubiquitin-like 5 (UBL5), in Italian Large White pigs. Using an in silico search it was possible to detect on SSC2 a new SNP of Deoxyhypusine synthase (DHPS) gene partially overlapping with WD repeat domain 83 (WDR83) gene and significant for the meat pH variation in Italian Large White (ILW) pigs. Perilipin 1 (PLIN1) mapping on chromosome 7 and Perilipin 2 (PLIN2) mapping on chromosome 1 were studied and the results obtained in Duroc breed have shown significant associations with carcass traits. Moreover a study of protein composition of porcine LD muscle, indicated an effect of temperature treatment of carcass, on proteins of the sarcoplasmic fraction and in particular on PGM1 phosphorylation. Future studies on pig meat quality should be based on the integration of different experimental approaches (genomics, proteomics, transcriptomics, etc).

Genotype-phenotype correlation in trisomy 21

Down syndrome (DS) or trisomy 21 (T21) is the most common genetic cause of intellectual disability (ID). Subjects with DS are characterized by complex and variable clinical features including intellectual disability (ID) and craniofacial dysmorphisms. The aim of the thesis is to uncover genotype-phenotype relationships in DS possibly useful to devise therapies based on molecular and cellular mechanisms. In this work, we have investigated different aspects of DS: - we have collected clinical data of children with DS and we have evaluated the cognitive impairment through specific cognitive tests - we have analysed genomics of DS through the study of partial trisomy (PT21) cases. We have described new PT21 cases confirming the hypothesis of the highly restricted DS critical region (HR-DSCR) recently identified as the minimal region whose duplication is shared by all PT21 subjects diagnosed with DS, while it is absent in all PT21 non-DS subjects. Moreover, we have characterized new transcripts included in the HR-DSCR; - we have studied gene expression through RNAseq in blood cells of children with DS; -metabolic alterations in plasma of children with DS were identified through different methods: Nuclear Magnetic resonance, routine blood exams performed during the follow up of the subjects and enzyme-linked immunosorbent assay (ELISA); - to test possible correlations between specific Hsa21 regions and alterations in transcriptomics and metabolomics, we have used trisomic iPSCs and differentiated them into neuronal derivatives. Significant alterations in gene expression and metabolic profiles have been identified, as well as significant correlations with clinical and cognitive aspects. Specific genes and the HR-DSCR may play a role in these alterations: cell models need to be developed to investigate this role. Neural derivatives from trisomic iPSCs are a promising model to better understand genotype-phenotype correlations in DS.

Gwas analysis for the identification of molecular basis responsible for yield related traits and disease resistance in durum wheat

The PhD thesis was developed in the framework of Innovar H2020 project. This project aimed at using genomics, transcriptomics and phenotyping techniques to update varietal registration procedure used in Europe for Value of Cultivation and Use (VCU) and Distinctiness Uniformity and Stability (DUS) protocols. The phenotypic and genotypic diversity of a durum wheat panel were assessed for different agronomic traits, connected with wheat development, disease resistance and spike fertility. A panel of 253 durum wheat varieties was characterized for VCU and DUS traits and genotyped with Illumina 90K SNP Chip array (Wang et al., 2014). GWAS analysis was performed, detecting strong QTLs confirmed also by literature review. Candidate genes were identified for each trait and molecular markers will be developed to be used for marker assisted selection in breeding programs. As for disease resistance, the panel was evaluated for resistance to Soil-Borne-Cereal-Mosaic-Virus (SBCMV). A major QTL, sbm2, was detected on chromosome 2B responsible for durum wheat resistance (Maccaferri et al., 2011). The sbm2 interval was explored by fine mapping on segregant population using KASP markers and by RNASeq analysis, detecting candidate genes involved in plant-pathogen reaction. As regards yield related traits, detailed analysis was performed on the GNI-2A QTL (Milner et al., 2016), responsible for increased number spike fertility. Fine mapping analysis was performed on durum panel identifying hox2 a strong candidate gene, codifying for transcription factor protein. The gene is paralogue of GNI-1 (Sakuma et al., 2019), and it has a 4 kbp deletion responsible for increased number of florets per spikelet. To conclude, the herein reported thesis shows a complete characterization of agronomic and disease resistance traits in modern durum wheat varieties. The results obtained will augment available information for each variety, identifying informative molecular markers for breeding purposes and QTLs/candidate genes responsible for different agronomic traits.