Streptococcus agalactiae adapts to glucose stress conditions by modulating gene expression profile

Diabetes mellitus is considered a risk factor for Group B Streptococcus (GBS) infections. Typically, this pathology is associated to high glucose levels in the bloodstream. Although clinical evidences support this notion, the physiological mechanisms underlying GBS adaptation to such conditions are not yet defined. In the attempt to address this issue, we performed comparative global gene expression analysis of GBS grown under glucose-stress conditions and observed that a number of metabolic and virulence genes was differentially regulated. Of importance, we also demonstrated that by knocking-out the csrRS locus the transcription profile of GBS grown in high-glucose conditions was profoundly affected, with more than a third of glucose-dependent genes, including the virulence factor bibA, found to be controlled by this two-component system. Furthermore, in vitro molecular analysis showed that CsrR specifically binds to the bibA promoter and the phosphorilation increases the affinity of the regulator to this promoter region. Moreover, we demonstrated that CsrR acts as a repressor of bibA expression by binding to its promoter in vivo. In conclusion, this work by elucidating both the response of GBS to pathological glucose conditions and the underlined molecular mechanisms will set the basis for a better understanding of GBS pathogenesis.

Evaluation of Microbial Contamination in Bivalve Mollusks: Epidemiology and Diagnosis

Shellfish are filter-feeding organisms that can accumulate many bacteria and viruses. Considering that depuration procedures are not effective in removal of certain microorganisms, shellfish-borne diseases are frequent in many parts of the world, and their control must rely primarily on investigation of prevalence of human pathogens in shellfish and water environment. However, the diffusion of enteric viruses and Vibrio bacteria is not known in many geographical areas, for example in Sardinia, Italy. A survey aimed at investigating the prevalence of Norovirus (NoV), hepatitis A virus (HAV), V. parahaemolyticus, V. cholerae and V. vulnificus was carried out, analyzing both local and imported purified, non-purified and retail shellfish from North Italy and Sardinia. Shellfish from both areas were found contaminated by NoVs, HAV and Vibrio, including retail and purified animals. Molecular analysis evidenced different NoV genogroups and genotypes, including bovine NoVs, as well as pathogenic Vibrio strains, underlining the risk for shellfish consumers. However, also other approaches are needed to control the diffusion of shellfish-borne diseases. It was originally thought that enteric viruses are passively accumulated by shellfish. Recently, it was proven that NoVs bind to specific carbohydrate ligands in oysters, and various NoV strains are characterized by a different bioaccumulation pattern. To deepen the knowledge on this argument, a study was carried out, analyzing bioaccumulation of up to 8 different NoV strains in four different species of shellfish. Different bioaccumulation patterns were observed for each shellfish species and NoV strain used, potentially important in setting up effective shellfish purification protocols. Finally, a novel study of evaluation of viral contamination in shellfish from the French Atlantic coast was carried out following the passage of Xynthia tempest over Western Europe which caused massive destruction. Different enteric viruses were found over a one month period, evidencing the potential of these events of contaminating shellfish.

Analisi molecolare delle fasi evolutive della micosi fungoide

Lo scopo del progetto triennale del dottorato di ricerca è lo studio delle alterazioni genetiche in un gruppo di pazienti affetti da micosi fungoide ed un gruppo di pazienti affetti da sindrome di Sezary. Dalle biopsie cutanee è stato estratto il DNA e analizzato, comparandolo con DNA sano di riferimento, utilizzando la tecnica array-CGH, allo scopo di identificare la presenza di geni potenzialmente implicati nel processo di oncogenesi. Questa analisi è stata eseguita, per ogni paziente, su biopsie effettuate ad una fase iniziale di malattia e ad una fase di progressione della stessa. Sugli stessi pazienti è stata inoltre eseguita un’analisi miRNA. Si ipotizza che il profilo d’espressione dei miRNA possa infatti dare informazioni utili per predire lo stato di malattia, il decorso clinico, la progressione tumorale e la riposta terapeutica. Questo lavoro è stato poi eseguito su biopsie effettuate in pazienti affetti da sindrome di Sezary che, quando non insorge primitivamente come tale, si può considerare una fase evolutiva della micosi fungoide. La valutazione delle alterazioni genetiche, ed in particolare la correlazione esistente tra duplicazione e delezione genetica e sovra/sottoespressione genetica, è stata possibile attraverso l’interpretazione e la comparazione dei dati ottenuti attraverso le tecniche array-CGH e miRNA. Sono stati comparati i risultati ottenuti per valutare quali fossero le alterazioni cromosomiche riscontrate nei diversi stadi di malattia. L’applicazione dell’array-CGH e della metodica di analisi mi-RNA si sono rivelate molto utili per l’identificazione delle diverse aberrazioni cromosomiche presenti nel genoma dei pazienti affetti da micosi fungoide e sindrome di Sezary, per valutare la prognosi del paziente e per cercare di migliorare o trovare nuove linee terapeutiche per il trattamento delle due patologie. Lo studio di questi profili può rappresentare quindi uno strumento di grande importanza nella classificazione e nella diagnosi dei tumori.

Phenotype and genotype characterization of Monilinia spp. isolates and preformed antifungal compounds in peach peel fruit at different developmental stages

The brown rot fungi belong to a group of fungal pathogens that causes considerable damage to cultivated fruits trees, particularly stone fruits and apples in the temperate regions of the World and during the postharvest with an important economic impact. In particular in Italy, it is important to monitor the Monilinia population to control economic losses associated to the peach and nectarine market. This motivates the research steps presented in this dissertation on Monilinia Italian isolates. The Monilinia species collected from stone fruits have been identified using molecular analysis based on specific primers. The relevant role of M. fructicola was confirmed and, for the first time, it was found also on apple fruits. To avoid the development of resistant strains and implement valid treatment strategies, the understanding of the fruit natural resistance during different developmental stages and the assessment of the Monilinia sensitivity/resistance to fungicides are required. The relationship between the inhibition spots and the phenolic compounds in peach fruit peel was highlighted in this research. Three methods were used to assess isolate resistance/sensitivity, the amended medium, the Spiral Gradient Endpoint Method (SGD) and the Alamar Blue method. The PCR was used to find possible mutation points in the b-tubulin gene that is responsible for fungicide resistance. Interestingly, no mutation points were observed in resistant M. laxa isolates, suggesting that the resistance could be stimulated by environmental factors. This lead to the study of the effect of the temperature on the resistance and the preliminary results of in vitro tests showed that maximum inhibition was observed at 30°C.

Innovative techniques for sport turf managing: Agronomic and phyisiological implications

The growing substrate of the putting greens is considered a key factor for a healthy turf ecosystem. Actually detailed study on the effects of growth promoting bacteria and biostimulants on a professional sport turf are very limited. This thesis aimed to study the effectiveness of different microorganisms and biostimulants in order to improve the knowledge relative to the relationship between the beneficial microflora and root apparatus of sport turfs. The research project was divided in three principal steps: Initially, commercial products based on biostimulants and microorganisms were tested on a Lolium perenne L. essence grown in a controlled-environment. The principal evaluations were the study of the habitus of plants, biomass production and length of leaves and roots. Were studied the capacity of colonization of microorganisms within root tissues and rhizosphere. In the second step were developed two different biostimulant solutions based on effective microorganisms, mycorrhizae and humic acids. This test was conducted both on an Agrostis stolonifera putting green (Modena Golf & Country Club) in a semi-field condition and within a growth chamber on a Lolium perenne L. essence. Fungicide and chemicals applications were suspended in order to assess the effectiveness of the inoculants for nutrition and control of pests. In the last step, different microorganism mixes and biostimulants were tested on an experimental putting green in the Turf Research Center (TRC) (Virginia Tech, United States) in a real managing situation. The effects of different treatments were studied maintaining all chemicals and mechanicals managements scheduled during a sport season. Both growth-chamber and field results confirmed the capacity of microorganisms based biostimulants to promote the physiologic conditions of the plants, improve the growth of the roots and enhance the aesthetic performance of the turf. Molecular analysis confirmed the capacity of microorganisms to colonize the root tissues.

Protostrongylids nematodes as a tool to study the biogeography of wild mammals

The European brown hare (Lepus europaeus Pallas, 1778) is an important game species, distributed across Europe and introduced in other regions. Recently, a geographically isolated population, closely related to an ancestral lineage of Lepus europaeus meridiei, was found on Pianosa Island, off the coast of Tuscany, Italy (Mengoni et al., 2018). Thus, the unique opportunity to explore the evolution and genetic structure of its helminth parasites was added to its exceptional isolation condition. Various lungworm species within the genus Protostrongylus (Nematoda: Protostrongylidae) are described in European brown hares. Our aim was to analyze the parasite population through morphological and molecular approaches in order to study the biogeography of the European brown hares (L. e. meridiei) population from Pianosa Island. Moreover, we investigated the morphology of a monospecific genus, i.e. Orthostrongylus, considering its quite intrigant descriptive history and its still unclear and debated classification. Nuclear and mitochondrial markers were used based on their resolution power and expected polymorphism; the whole Internal Transcribed Spacer 1 and 2 (ITS), including the 5.8S rRNA sequence and the Large Subunit (28S) were used, as nuclear genes, for confirmation of the species identification. Conversely, the cytochrome oxidase c subunit I (COI) was used, as mithocondrial genes, to assess interspecific genetic relationships. Molecular analysis corroborated the morphological identification since all the generated ITS and LSU sequences were 100% consistent with the species Protostrongylus oryctolagi and Orthostrongylus macrotis. The paucity of molecular data existent about this genus of parasites underlines the need for more insight’s studies. An in-depth analysis of broncho-pulmonary parasites and the host-parasites relationships along with the improvement of the use of mitochondrial genes, as well as the assessment of new polymorphic markers could contribute to an extensive understanding of parasites fauna and taxonomy, as well as their relationship with wild mammals’ hosts.

Red flesh fruit in european pear (Pyrus communis): genetic sources, QTLs, candidate genes and tools for breeding

Red flesh fruit is a character which interest is increasing in several commercial species. Following a review of the research on the biosynthesis and accumulation of anthocyanin in pears (Chapter 1) the general aim of the project is reported in Chapter 2. Chapter 3 reports the results of a molecular analysis of 33 red-fleshed pear accessions, genotyped with 18 SSR markers with the aim of improving germplasm conservation strategies to support ongoing breeding programs. The molecular profiles revealed both cases of synonymy and homonymy and 6 unique genotypes were identified. The S-allele were established to highlight the genetic relationships among these landraces. Four of the unique genotypes have been clustered based on pomological data. In the Chapter 4, the work was directed to identify the putative genomic regions involved in the appearance of this character in pear fruit. A crossing population (‘Carmen’ x ‘Cocomerina Precoce’) segregating for the trait was phenotyped for 2 consecutive years and used for QTL analysis. A strong QTL was identified in a small genomic region related to the red flesh fruit trait at 27 Mb from the start of LG5. Two candidate genes were detected in this genomic region: ‘PcMYB114’ and ‘PcABCC2’. SSR marker SSR114 was found able to detect the red flesh phenotype segregation in all the red-fleshed pear accessions and segregating progenies tested. Chapter 5 focuses on examining the trend of anthocyanin synthesis and accumulation during the fruit development, from fruit set to ripening time. Three different trials were planned: qPCR and HPLC methods were performed to correlate the genes expression with the anthocyanin accumulation in ‘Cocomerina Precoce’ and six progenies. Total transcriptome sequencing was used to compare the differential genes expression between red and white-fleshed fruit. Chapter 6 reviews and analyses all the earlier study findings while providing new potential future perspectives.

Molecular strategies for genetic diversity analysis and development of markers linked to resistance traits in apple

The goal of many plant scientists’ research is to explain natural phenotypic variation in term of simple changes in DNA sequence. DNA-based molecular markers are extensively used for the construction of genome-wide molecular maps and to perform genetic analysis for simple and complex traits. The PhD thesis was divided into two main research lines according to the different approaches adopted. The first research line is to analyze the genetic diversity in an Italian apple germplasm collection for the identification of markers tightly linked to targeted genes by an association genetic method. This made it possible to identify synomym and homonym accessions and triploids. The fruit red skin color trait has been used to test the reliability of the genetic approaches in this species. The second line is related to the development of molecular markers closely linked to the Rvi13 and Rvi5 scab resistance genes, previously mapped on apple’s chromosome 10 and 17 respectively by using the traditional linkage mapping method. Both region have been fine-mapped with various type of markers that could be used for marker-assisted selection in future breeding programs and to isolate the two resistance genes.

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.

Integrating structural variant calling, annotation and prioritization into whole genome analysis workflows: a practical application in the molecular diagnosis of neurodevelopmental disorders

Background: WGS is increasingly used as a first-line diagnostic test for patients with rare genetic diseases such as neurodevelopmental disorders (NDD). Clinical applications require a robust infrastructure to support processing, storage and analysis of WGS data. The identification and interpretation of SVs from WGS data also needs to be improved. Finally, there is a need for a prioritization system that enables downstream clinical analysis and facilitates data interpretation. Here, we present the results of a clinical application of WGS in a cohort of patients with NDD. Methods: We developed highly portable workflows for processing WGS data, including alignment, quality control, and variant calling of SNVs and SVs. A benchmark analysis of state-of-the-art SV detection tools was performed to select the most accurate combination for SV calling. A gene-based prioritization system was also implemented to support variant interpretation. Results: Using a benchmark analysis, we selected the most accurate combination of tools to improve SV detection from WGS data and build a dedicated pipeline. Our workflows were used to process WGS data from 77 NDD patient-parent families. The prioritization system supported downstream analysis and enabled molecular diagnosis in 32% of patients, 25% of which were SVs and suggested a potential diagnosis in 20% of patients, requiring further investigation to achieve diagnostic certainty. Conclusion: Our data suggest that the integration of SNVs and SVs is a main factor that increases diagnostic yield by WGS and show that the adoption of a dedicated pipeline improves the process of variant detection and interpretation.