Molecular Systematics and Traits Evolution in Phasmatodea Leach, 1815 (Hexapoda; Insecta)

Phasmatodea Leach, 1815 (Hexapoda; Insecta) is a polyneopteran order which counts approximately 3000 described species, often known for their remarkable forms of mimicry. In this thesis, I provide a comprehensive systematic framework which includes over 180 species never considered in a phylogenetic framework: the latter can facilitate a better understanding of the processes underlying phasmids evolutionary history. The clade represents in fact an incredible testing ground to study trait evolution and its striking disparity of reproductive strategies and wing morphologies have been of great interest to the evolutionary biology community. Phasmids wings represent one of the first and most notable rejection of Dollo’s law and they played a central role in initiating a long- standing debate on the irreversibility of complex traits loss. Macroevolutionary analyses presented here confirm that wings evolution in phasmids is a reversible process even when possible biases - such as systematic uncertainty and trait-dependent diversification rates - are considered. These findings remark how complex traits can evolve in a dynamic, reversible manner and imply that their molecular groundplan can be preserved despite its phenotypical absence. This concept has been further tested with phylogenetic and transcriptomic approaches in two phasmids parthenogenetic lineages and a bisexual congeneric of the European Bacillus species complex. Leveraging a gene co-expression network approach, male gonad associated genes were retrieved in the bisexual species and then their modifications in the parthenogens were charachterized. Pleiotropy appears to constrain gene modifications associated to male reproductive structures after their loss in parthenogens, so that the lost trait molecular groundplan can be largely preserved in both transcription patterns and sequence evolution. Overall, the results presented in this thesis contribute to shape our understanding of the interplay between the phenotypic and molecular levels in trait evolution.

Funzioni della subunità θ e del dominio PHP della subunità α nel core catalitico della DNA polimerasi III di Escherichia coli

Il core catalitico della DNA polimerasi III, composto dalle tre subunità α, ε e θ, è il complesso minimo responsabile della replicazione del DNA cromosomiale in Escherichia coli. Nell'oloenzima, α ed ε possiedono rispettivamente un'attività 5'-3' polimerasica ed un'attività 3'-5' esonucleasica, mentre θ non ha funzioni enzimatiche. Il presente studio si è concentrato sulle regioni del core che interagiscono direttamente con ε, ovvero θ (interagente all'estremità N-terminale di ε) e il dominio PHP di α (interagente all'estremità C-terminale di ε), delle quali non è stato sinora identificato il ruolo. Al fine di assegnare loro una funzione sono state seguite tre linee di ricerca parallele. Innanzitutto il ruolo di θ è stato studiato utilizzando approcci ex-vivo ed in vivo. I risultati presentati in questo studio mostrano che θ incrementa significativamente la stabilità della subunità ε, intrinsecamente labile. Durante gli esperimenti condotti è stata anche identificata una nuova forma dimerica di ε. Per quanto la funzione del dimero non sia definita, si è dimostrato che esso è attivamente dissociato da θ, che potrebbe quindi fungere da suo regolatore. Inoltre, è stato ritrovato e caratterizzato il primo fenotipo di θ associato alla crescita. Per quanto concerne il dominio PHP, si è dimostrato che esso possiede un'attività pirofosfatasica utilizzando un nuovo saggio, progettato per seguire le cinetiche di reazione catalizzate da enzimi rilascianti fosfato o pirofosfato. L'idrolisi del pirofosfato catalizzata dal PHP è stata dimostrata in grado di sostenere l'attività polimerasica di α in vitro, il che suggerisce il suo possibile ruolo in vivo durante la replicazione del DNA. Infine, è stata messa a punto una nuova procedura per la coespressione e purificazione del complesso α-ε-θ

A step forwards in immunomodulation and immunetolerance knowledge. HLA-G expression in co-cultures of peripheral blood mononuclear cells and stem cells after in vitro NGAL stimulation

NGAL (Neutrophil Gelatinase-associated Lipocalin ) is a protein of lipocalin superfamily. Recent literature focused on its biomarkers function in several pathological condition (acute and chronic kidney damage, autoimmune disease, malignancy). NGAL biological role is not well elucidated. Several are the demonstration of its bacteriostatic role. Recent papers have indeed highlight NGAL role in NFkB modulation. The aim of this study is to understand whether NGAL may exert a role in the activation (modulation) of T cell response through the regulation of HLA-G complex, a mediator of tolerance. From 8 healthy donors we obtained peripheral blood mononuclear cells (PBMCs) and we isolated by centrifugation on a Ficoll gradient. Cells were then treated with four concentrations of NGAL (40-320 ng/ml) with or without iron. We performed flow cytometry analysis and ELISA test. NGAL increased the HLA-G expression on CD4+ T cells, with an increasing corresponding to the dose. Iron effect is not of unique interpretation. NGAL adiction affects regulatory T cells increasing in vitro expansion of CD4+ CD25+ FoxP3+ cells. Neutralizing antibody against NGAL decreased HLA-G expression and reduced significantly CD4+ CD25+ FoxP3+ cells percentage. In conclusion, we provided in vitro evidence of NGAL involvement in cellular immunity. The potential role of NGAL as an immunomodulatory molecule has been evaluated: it has been shown that NGAL plays a pivotal role in the induction of immune tolerance up regulating HLA-G and T regulatory cells expression in healthy donors. As potential future scenario we highlight the in vivo role of NGAL in immunology and immunomodulation, and its possible relationship with immunosuppressive therapy efficacy, tolerance induction in transplant patients, and/or in other immunological disorders.

New computational biology tools for the systematic analysis of the structure and expression of human genes

From the late 1980s, the automation of sequencing techniques and the computer spread gave rise to a flourishing number of new molecular structures and sequences and to proliferation of new databases in which to store them. Here are presented three computational approaches able to analyse the massive amount of publicly avalilable data in order to answer to important biological questions. The first strategy studies the incorrect assignment of the first AUG codon in a messenger RNA (mRNA), due to the incomplete determination of its 5' end sequence. An extension of the mRNA 5' coding region was identified in 477 in human loci, out of all human known mRNAs analysed, using an automated expressed sequence tag (EST)-based approach. Proof-of-concept confirmation was obtained by in vitro cloning and sequencing for GNB2L1, QARS and TDP2 and the consequences for the functional studies are discussed. The second approach analyses the codon bias, the phenomenon in which distinct synonymous codons are used with different frequencies, and, following integration with a gene expression profile, estimates the total number of codons present across all the expressed mRNAs (named here "codonome value") in a given biological condition. Systematic analyses across different pathological and normal human tissues and multiple species shows a surprisingly tight correlation between the codon bias and the codonome bias. The third approach is useful to studies the expression of human autism spectrum disorder (ASD) implicated genes. ASD implicated genes sharing microRNA response elements (MREs) for the same microRNA are co-expressed in brain samples from healthy and ASD affected individuals. The different expression of a recently identified long non coding RNA which have four MREs for the same microRNA could disrupt the equilibrium in this network, but further analyses and experiments are needed.

Nonlinear/electromagnetic co-simulation of microwaves and millimeter-waves links

The Ph.D. thesis describes the simulations of different microwave links from the transmitter to the receiver intermediate-frequency ports, by means of a rigorous circuit-level nonlinear analysis approach coupled with the electromagnetic characterization of the transmitter and receiver front ends. This includes a full electromagnetic computation of the radiated far field which is used to establish the connection between transmitter and receiver. Digitally modulated radio-frequency drive is treated by a modulation-oriented harmonic-balance method based on Krylov-subspace model-order reduction to allow the handling of large-size front ends. Different examples of links have been presented: an End-to-End link simulated by making use of an artificial neural network model; the latter allows a fast computation of the link itself when driven by long sequences of the order of millions of samples. In this way a meaningful evaluation of such link performance aspects as the bit error rate becomes possible at the circuit level. Subsequently, a work focused on the co-simulation an entire link including a realistic simulation of the radio channel has been presented. The channel has been characterized by means of a deterministic approach, such as Ray Tracing technique. Then, a 2x2 multiple-input multiple-output antenna link has been simulated; in this work near-field and far-field coupling between radiating elements, as well as the environment factors, has been rigorously taken into account. Finally, within the scope to simulate an entire ultra-wideband link, the transmitting side of an ultrawideband link has been designed, and an interesting Front-End co-design technique application has been setup.

Expression and cellular localization of Copper transporter 2 (Ctr2) in Mus musculus

The Ctr family is an essential part of the copper homeostasis machinery and its members share sequence homology and structural and functional features. Higher eukaryotes express two members of this family Ctr1 and Ctr2. Numerous structural and functional studies are available for Ctr1, the only high affinity Cu(I) transporter thus far identified. Ctr1 holigotrimers mediate cellular copper uptake and this protein was demonstrated to be essential for embryonic development and to play a crucial role in dietary copper acquisition. Instead very little is known about Ctr2, it bears structural homology to the yeast vacuolar copper transporter, which mediates mobilization of vacuolar copper stores. Recent studies using over-expressed epitope-tagged forms of human Ctr2 suggested a function as a low affinity copper transporter that can mediate either copper uptake from the extracellular environment or mobilization of lysosomal copper stores. Using an antibody that recognizes endogenous mouse Ctr2, we studied the expression and localization of endogenous mouse Ctr2 in cell culture and in mouse models to understand its regulation and function in copper homeostasis. By immunoblot we observed a regulation of mCtr2 protein levels in a copper and Ctr1 dependent way. Our observations in cells and transgenic mice suggest that lack of Ctr1 induces a strong downregulation of Ctr2 probably by a post-translational mechanism. By indirect immunofluorescence we observed an exclusive intracellular localization in a perinuclear compartment and no co-localization with lysosomal markers. Immunofluorescence experiments in Ctr1 null cells, supported by sequence analysis, suggest that lysosomes may play a role in mCtr2 biology not as resident compartment, but as a degradation site. In appendix a LC-mass method for analysis of algal biotoxins belonging to the family of PsP (paralytic shellfish poisoning) is described.

Studio della trasduzione del Segnale Nucleare Inositide-Dipendente: identificazione di eEF1A2 come nuovo Fosfosubstrato di PKC βI

Introduction Phospholipase Cb1 (PLC-β1) is a key player in the regulation of nuclear inositol lipid signaling and of a wide range of cellular functions, such as proliferation and differentiation (1,2,3). PLCb1 signaling depends on the cleavage of phosphatidylinositol 4,5-bisphosphate and the formation of the second messengers diacylglycerol and Inositol tris-phosphate which activate canonical protein kinase C (cPKC) isoforms. Here we describe a proteomic approach to find out a potential effector of nuclear PLC-b1 dependent signaling during insulin stimulated myogenic differentiation. Methods Nuclear lysates obtained from insulin induced C2C12 myoblasts were immunoprecipitated with anti-phospho-substrate cPKC antibody. Proteins, stained with Comassie blue, were excised, digested and subsequently analysed in LC-MS/MS. For peptide sequence searching, the mass spectra were processed and analyzed using the Mascot MS/MS ion search program with the NCBI database. Western blotting, GST-pull down and co-immunoprecipitation were performed to study the interaction between eEF1A2 and cPKCs. Site direct mutagenesis was performed to confirm the phosphorylated motif recognized by the antibody. Immunofluorescence analysis, GFP-tagged eEF1A2 vector and subcellular fractionation were performed to study nuclear localization and relative distribution of eEF1A2. Results We have previously shown that PLC-β1 is greatly increased at the nuclear level during insulin-induced myoblasts differentiation and that this nuclear localization is essential for induction of differentiation. Thus, nuclear proteins of insulin stimulated C2C12 myoblasts, were immunoprecipitated with an anti-phospho-substrate cPKC antibody. After Electrophoretic gel separation of proteins immunoprecipitated, several molecules were identified by LC-MS/MS. Among these most relevant and unexpected was eukaryotic elongation factor 1 alpha 2 (eEF1A2). We found that eEF1A2 is phosphorylated by PKCb1 and that these two molecules coimmunolocalized at the nucleolar level. eEF1A2 could be phosphorylated in many sites among which both threonine and serine residues. By site direct mutagenesis we demonstrated that it is the serine residue of the motif recognized by the antibody that is specifically phosphorylated by PKCb1. The silencing of PLCb1 gives rise to a reduction of expression and phosphorylation levels of eEF1A2 indicating this molecule as a target of nuclear PLCb1 regulatory network during myoblasts differentiation.

Identification and characterization of the sRNA network in Neisseria meningitidis

Bacterial small regulatory RNAs (sRNAs) are posttranscriptional regulators involved in stress responses. These short non-coding transcripts are synthesised in response to a signal, and control gene expression of their regulons by modulating the translation or stability of the target mRNAs, often in concert with the RNA chaperone Hfq. Characterization of a Hfq knock out mutant in Neisseria meningitidis revealed that it has a pleiotropic phenotype, suggesting a major role for Hfq in adaptation to stresses and virulence and the presence of Hfq-dependent sRNA activity. Global gene expression analysis of regulated transcripts in the Hfq mutant revealed the presence of a regulated sRNA, incorrectly annotated as an open reading frame, which we renamed AniS. The synthesis of this novel sRNA is anaerobically induced through activation of its promoter by the FNR global regulator and through global gene expression analyses we identified at least two predicted mRNA targets of AniS. We also performed a detailed molecular analysis of the action of the sRNA NrrF,. We demonstrated that NrrF regulates succinate dehydrogenase by forming a duplex with a region of complementarity within the sdhDA region of the succinate dehydrogenase transcript, and Hfq enhances the binding of this sRNA to the identified target in the sdhCDAB mRNA; this is likely to result in rapid turnover of the transcript in vivo. In addition, in order to globally investigate other possible sRNAs of N. meningitdis we Deep-sequenced the transcriptome of this bacterium under both standard in vitro and iron-depleted conditions. This analysis revealed genes that were actively transcribed under the two conditions. We focused our attention on the transcribed non-coding regions of the genome and, along with 5’ and 3’ untranslated regions, 19 novel candidate sRNAs were identified. Further studies will be focused on the identification of the regulatory networks of these sRNAs, and their targets.

Nonlinear / electromagnetic co-simulation and co-design of microwave links in highly polluted and / or strongly inhomogeneous environments

The objective of the Ph.D. thesis is to put the basis of an all-embracing link analysis procedure that may form a general reference scheme for the future state-of-the-art of RF/microwave link design: it is basically meant as a circuit-level simulation of an entire radio link, with – generally multiple – transmitting and receiving antennas examined by EM analysis. In this way the influence of mutual couplings on the frequency-dependent near-field and far-field performance of each element is fully accounted for. The set of transmitters is treated as a unique nonlinear system loaded by the multiport antenna, and is analyzed by nonlinear circuit techniques. In order to establish the connection between transmitters and receivers, the far-fields incident onto the receivers are evaluated by EM analysis and are combined by extending an available Ray Tracing technique to the link study. EM theory is used to describe the receiving array as a linear active multiport network. Link performances in terms of bit error rate (BER) are eventually verified a posteriori by a fast system-level algorithm. In order to validate the proposed approach, four heterogeneous application contexts are provided. A complete MIMO link design in a realistic propagation scenario is meant to constitute the reference case study. The second one regards the design, optimization and testing of various typologies of rectennas for power generation by common RF sources. Finally, the project and implementation of two typologies of radio identification tags, at X-band and V-band respectively. In all the cases the importance of an exhaustive nonlinear/electromagnetic co-simulation and co-design is demonstrated to be essential for any accurate system performance prediction.

Modelling and analysis of networked control strategies in smart power distribution grids: development of co-simulation tools

This thesis is focused on Smart Grid applications in medium voltage distribution networks. For the development of new applications it appears useful the availability of simulation tools able to model dynamic behavior of both the power system and the communication network. Such a co-simulation environment would allow the assessment of the feasibility of using a given network technology to support communication-based Smart Grid control schemes on an existing segment of the electrical grid and to determine the range of control schemes that different communications technologies can support. For this reason, is presented a co-simulation platform that has been built by linking the Electromagnetic Transients Program Simulator (EMTP v3.0) with a Telecommunication Network Simulator (OPNET-Riverbed v18.0). The simulator is used to design and analyze a coordinate use of Distributed Energy Resources (DERs) for the voltage/var control (VVC) in distribution network. This thesis is focused control structure based on the use of phase measurement units (PMUs). In order to limit the required reinforcements of the communication infrastructures currently adopted by Distribution Network Operators (DNOs), the study is focused on leader-less MAS schemes that do not assign special coordinating rules to specific agents. Leader-less MAS are expected to produce more uniform communication traffic than centralized approaches that include a moderator agent. Moreover, leader-less MAS are expected to be less affected by limitations and constraint of some communication links. The developed co-simulator has allowed the definition of specific countermeasures against the limitations of the communication network, with particular reference to the latency and loss and information, for both the case of wired and wireless communication networks. Moreover, the co-simulation platform has bee also coupled with a mobility simulator in order to study specific countermeasures against the negative effects on the medium voltage/current distribution network caused by the concurrent connection of electric vehicles.

Contribution of vascular resident mesenchymal stromal cells to abdominal aortic aneurysm pathogenesis: increased MMP-9 expression and ineffective immunomodulation

Background. Ageing and inflammation are critical for the occurrence of aortic diseases. Extensive inflammatory infiltrate and excessive ECM proteloysis, mediated by MMPs, are typical features of abdominal aortic aneurysm (AAA). Mesenchymal Stromal Cells (MSCs) have been detected within the vascular wall and represent attractive candidates for regenerative medicine, in virtue of mesodermal lineage differentiation and immunomodulatory activity. Meanwhile, many works have underlined an impaired MSC behaviour under pathological conditions. This study was aimed to define a potential role of vascular MSCs to AAA development. Methods. Aortic tissues were collected from AAA patients and healthy donors. Our analysis was organized on three levels: 1) histology of AAA wall; 2) detection of MSCs and evaluation of MMP-9 expression on AAA tissue; 3) MSC isolation from AAA wall and characterization for mesenchymal/stemness markers, MMP-2, MMP-9, TIMP-1, TIMP-2 and EMMPRIN. AAA-MSCs were tested for immunomodulation, when cultured together with activated peripheral blood mononuclear cells (PBMCs). In addition, a co-colture of both healthy and AAA MSCs was assessed and afterwards MMP-2/9 mRNA levels were analyzed. Results. AAA-MSCs showed basic mesenchymal properties: fibroblastic shape, MSC antigens, stemness genes. MMP-9 mRNA, protein and enzymatic activity were significantly increased in AAA-MSCs. Moreover, AAA-MSCs displayed a weak immunosuppressive activity, as shown by PBMC ongoing along cell cycle. MMP-9 was shown to be modulated at the transcriptional level through the direct contact as well as the paracrine action of healthy MSCs. Discussion. Vascular injury did not affect the MSC basic phenotype, but altered their function, a increased MMP-9 expression and ineffective immunmodulation. These data suggest that vascular MSCs can contribute to aortic disease. In this view, the study of key processes to restore MSC immunomodulation could be relevant to find a pharmacological approach for monitoring the aneurysm progression.

Seeing emotions in others: Improving cognitive and neuronal mechanisms of facial expression processing

In the conceptual framework of affective neuroscience, this thesis intends to advance the understanding of the plasticity mechanisms of other’s emotional facial expression representations. Chapter 1 outlines a description of the neurophysiological bases of Hebbian plasticity, reviews influential studies that adopted paired associative stimulation procedures, and introduces new lines of research where the impact of cortico-cortical paired associative stimulation protocols on higher order cognitive functions is investigated. The experiments in Chapter 2 aimed to test the modulatory influence of a perceptual-motor training, based on the execution of emotional expressions, on the subsequent emotion intensity judgements of others’ high (i.e., full visible) and low-intensity (i.e., masked) emotional expressions. As a result of the training-induced learning, participants showed a significant congruence effect, as indicated by relatively higher expression intensity ratings for the same emotion as the one that was previously trained. Interestingly, although judged as overall less emotionally intense, surgical facemasks did not prevent the emotion-specific effects of the training to occur, suggesting that covering the lower part of other’s face do not interact with the training-induced congruence effect. In Chapter 3 it was implemented a transcranial magnetic stimulation study targeting neural pathways involving re-entrant input from higher order brain regions into lower levels of the visual processing hierarchy. We focused on cortical visual networks within the temporo-occipital stream underpinning the processing of emotional faces and susceptible to plastic adaptations. Importantly, we tested the plasticity-induced effects in a state dependent manner, by administering ccPAS while presenting different facial expressions yet afferent to a specific emotion. Results indicated that the discrimination accuracy of emotion-specific expressions is enhanced following the ccPAS treatment, suggesting that a multi-coil TMS intervention might represent a suitable tool to drive brain remodeling at a neural network level, and consequently influence a specific behavior.

Disorders of arousal: a physiopathological window to explore the mechanisms regulating sleep arousal

Disorders of Arousal (DoA) belong to NREM parasomnias and are characterized by motor and emotional episodes arising from incomplete awakenings from NREM sleep. DoA episodes embody at the same time the double nature of the arousal process, that is preserving sleep as well as respond to sleep perturbations, thus being an ideal model to study sleep arousal. In the first part of this work, we performed a spectral whole scalp EEG analysis exploring the neurophysiologic correlates of the pre-motor onset of the episodes in a large sample of patients with DoA, disclosing the co-existence of both slow and fast EEG frequencies over overlapping areas before DoA episodes, suggesting an alteration of local sleep mechanisms. Episodes of different complexity were preceded by a similar EEG activation, implying that they possibly share a similar pathophysiology. In the second part of this work, we performed a spectral whole scalp EEG analysis comparing the pre-motor onset of the episodes and normal arousals from healthy sleepers, disclosing the persistence of slow frequencies as well as sigma band (expression of sleep spindles) in DoA episodes. Overall, these results might subtend a higher tendence to preserve sleep and a more defective mechanism toward developing a complete arousal in patients with DoA. In the last part of our work, we evaluated 15 patients with DoA with 15 controls in a functional MRI study during wakefulness in addition to a proton magnetic resonance spectroscopy (1H-MRS) focused on cingulate cortex. We disclosed subtle alterations on posterior cingulate cortex as well as an increased connectivity in sensory-motor network, possibly representing a trait-functional feature responsible for the dysfunctional arousal process in DoA patients

Network analysis and machine learning assist drug repurposing and safety assessment in neurological diseases

In recent decades, two prominent trends have influenced the data modeling field, namely network analysis and machine learning. This thesis explores the practical applications of these techniques within the domain of drug research, unveiling their multifaceted potential for advancing our comprehension of complex biological systems. The research undertaken during this PhD program is situated at the intersection of network theory, computational methods, and drug research. Across six projects presented herein, there is a gradual increase in model complexity. These projects traverse a diverse range of topics, with a specific emphasis on drug repurposing and safety in the context of neurological diseases. The aim of these projects is to leverage existing biomedical knowledge to develop innovative approaches that bolster drug research. The investigations have produced practical solutions, not only providing insights into the intricacies of biological systems, but also allowing the creation of valuable tools for their analysis. In short, the achievements are: • A novel computational algorithm to identify adverse events specific to fixed-dose drug combinations. • A web application that tracks the clinical drug research response to SARS-CoV-2. • A Python package for differential gene expression analysis and the identification of key regulatory "switch genes". • The identification of pivotal events causing drug-induced impulse control disorders linked to specific medications. • An automated pipeline for discovering potential drug repurposing opportunities. • The creation of a comprehensive knowledge graph and development of a graph machine learning model for predictions. Collectively, these projects illustrate diverse applications of data science and network-based methodologies, highlighting the profound impact they can have in supporting drug research activities.