Nowadays, exciting bioanalytical microsystems are currently receiving increasing attention in biology since they can comply with the considerable demand for reliable, sensitive and low-cost analysis tools. Small reagents volumes, low power consumption, portability, fast analysis, high throughput and systems integration are the key aspects that make these systems more and more appealing within both the academic and industrial communities. In the last years, many microdevices were developed for a wide range of biological applications, particularly dedicated to cellu-lar or molecular analysis. Many efforts were devoted to the realization of Cell-Based Biosensors (CBBs) to monitor the dynamic behaviour of cell cultures for pharmacological screening and basic research. Other researchers focused their interests in the development of so-called Lab-on-a-Chip (LOC) systems for DNA analysis mostly applied to clinical diagnosis. This thesis deals with the investigation of two miniaturized devices – a cell-based biosensor and a DNA amplification system – for the cellular and molecular analysis of wine yeasts, respectively. The first device consists of integrated electrochemical sensors – Ion-Sensitive Field-Effect Transistor (ISFET), impedimetric and temperature sensors – for the real time evaluation of pH and cell settling of yeasts under batch culture conditions. The assessment of yeast performance and robustness has been focused on ethanol tolerance, as it is one of the main stress factors acting in wine, and thus, one of the major causes of stuck fermentations. A good agreement between extracellular acidification and cell growth trends at different ethanol concentration has been demonstrated, significantly reducing the time of the traditional assays. Moreover, resistivity measurements have shown the possibility to follow progressive settling of the cell suspension. Concerning the second system, a Polymerase Chain Reaction (PCR) microdevice has been biologically validated by successfully amplifying yeast genomic DNA fragments. Additionally, the outcome of PCR has been positively assessed with diluted samples and boiled yeast cultures, demonstrating the possibility to skip the time-consuming purification process for potential LOC applications with very little or no pre-PCR sample manipulations. The encouraging results from both microsystems have demonstrated their suitability for wine yeast analysis, aimed at quality improvements of the winemaking process.

The human microbiome represents the community of archaea, bacteria, micro-eukaryotes, and viruses present in and on the human body. Metagenomics is the most recent and advanced tool that allows the study of the microbiome at high resolution by sequencing the whole genetic content of a biological sample. The computational side of the metagenomic pipeline is recognized as the most challenging one as it needs to process large amounts of data coming from next-generation sequencing technologies to obtain accurate profiles of the microbiomes. Among all the analyses that can be performed, phylogenetics allows researchers to study microbial evolution, resolve strain-level relationships between microbes, and also taxonomically place and characterize novel and unknown microbial genomes. This thesis presents a novel computational phylogenetic approach implemented during my doctoral studies. The aims of the work range from the high-quality visualization of large phylogenies to the reconstruction of phylogenetic trees at unprecedented scale and resolution. Large-scale and accurate phylogeny reconstruction is crucial in tracking species at strain-level resolution across samples and phylogenetically characterizing unknown microbes by placing their genomes reconstructed via metagenomic assembly into a large reference phylogeny. The proposed computational phylogenetic framework has been used in several different metagenomic analyses, improving our understanding of the complexity of microbial communities. It proved, for example, to be crucial in the detection of vertical transmission events from mothers to infants and for the placement of thousands of unknown metagenome-reconstructed genomes leading to the definition of many new candidate species. This poses the basis for large-scale and more accurate analysis of the microbiome.

In recent years, the world has faced major health challenges, from the rise of antibiotic resistance to the emergence of new pathogens with pandemic potential. This highlights the importance of considering human health as inextricably intertwined with that of other animals and the environment in which they live. This paradigm is known as “One Health”, which is the integration of environmental sciences, veterinary science, and medicine. Within this perspective, viruses, the most abundant biological entities on Earth, play a central role in connecting different organisms, deeply influencing the health of their hosts. Despite their great importance, most viruses are still poorly understood, mainly because of the technical and economic limitations posed by isolation, cultivation, and single colony sequencing. However, recently developed genomic technologies offer a cheaper and more sensitive alternative to study viruses, allowing a better integration of data from various sources and making it possible to explore how they circulate among different hosts and environments. In this thesis, I hypotesise that, by combining different classes of genomic methods with One Health practices, it is possible to reveal much more of the entire picture of viral diversity and evolution that by simply using them in a separated way. I show that this is the case for each one of the scientific questions addressed in this work, which are organised in three main chapters: - In the second chapter I analysed 22 metatranscriptomes from tick samples from different parts of Italy, obtaining a set of 91 viral contigs for which I reconstructed the phylogeny, with the aim to identify the presence of possible pathogens and characterise the unexplored viral diversity in the country. This analysis not only clarified the molecular epidemiology of well-known pathogens such as Tick-borne encephalitis virus, but also allowed the discovery of at least 10 novel viral species. - In the third chapter, I investigated the origin and spread of West Nile virus, an emerging pathogen causing neurological disease worldwide. The goal was to expand the current knowledge of this virus by increasing the number of sequenced genomes and to reconstruct how the virus moved between Africa and Europe. Phylogeographic and phylodynamic methods showed that this pathogen originated in Africa and repeatedly invaded the European continent, revealing the dynamics of its evolution through space and time. - In the last chapter, I contributed to obtaining a set of DNA phages assembled from human microbiomes and viromes by manual curation and comparative genomics and developed a new approach to study their evolution in relation to their bacterial hosts. I found that the strength of co-phylogenetic patterns between viruses and their hosts is generally weak, suggesting that their ecological relationships emerge on short evolutionary timescales. Taken together, these results show how the integration of viral metagenomics and phylogenomics in One Health is essential to answer fundamental questions about the diversity of viruses and how they spread and evolve. Furthermore, the methods and protocols developed in these studies can be applied to similar cases, allowing a systematic exploration of many other datasets to expand our knowledge of the virosphere. This information can be used to implement containment strategies, public health policies, therapies, and biotechnologies.

In the last two decades several studies have been trying to explore a possible role for gut microbiota in Autism Spectrum Disorders (ASD), supported by the high incidence of gastrointestinal disorders among ASD children and by the now well recognized existence of the brain-gut-microbiota axis (the complex system of bidirectional interactions between central nervous system, gastrointestinal tract and microorganisms inhabiting the gut). Nevertheless, results about alterations in gut microbiota composition and/or activity in ASD are to date strongly contrasting. A possible explanation could be that these studies tend to treat ASD as a unique pathology, whereas it includes different cognitive-behavioural phenotypes. Moreover, they do not consider factors which are important for children’s gut flora development, such as type of delivery, nutritional history (e.g. formula milk during lactation) and medical history (e.g. antibiotics intake) as well as factors that may affect the present composition of microbiota, such as the current diet (e.g. the strong food selectivity that often occurs in ASD children) and the presence of gastrointestinal disorders. In this study, I developed an interview to parents to assess whether there are differences related to the above mentioned aspects between ASD children and typically developing children and among ASD themselves, considering differences in cognitive level and severity of autistic traits. I also explored the use of special diets such as gluten-, lactose and casein free diets, the reasons for their adoption and the possible benefits for the child. Moreover, I decided to include in this interview also a section dedicated to parental difficulties in managing mealtime in order to collect information useful to plan future interventions. I found differences between ASD- and typical children in the incidence of gastrointestinal disorders and food selectivity. Especially, some children initially eat everything and then switch to a more and more restricted diet. This could be considered an early symptom of the pathology. I also found an association between gastrointestinal disorders and severity of autistic traits. Furthermore, I collected faecal samples from ASD families (two parents, an ASD child and a typically developing sibling) and analysed them with metaproteomics and bioinformatics techniques in order to assess microbiota activity and evaluate it in light of ASD phenotype, nutritional habits, gastrointestinal disorders and genetic proximity. Demonstrating the existence of a different microbiota composition in ASD or at least in a subgroup could allow to identify a biomarker of a possible development of ASD and to design preventive interventions, even through probiotics intake. Moreover, it could help to better understand the molecular mechanism underlying this pathology.