Karyomorphological analyses and chromatin characterization by banding techniques in Euphorbia characias L. and E. wulfenii Hoppe (= E. veneta Willd.) (Euphorbiaceae)

Abstract Karyomorphological analysis of Euphorbia characias L. using Giemsa and fluorescent techniques revealed a characteristic C-banding pattern. Intraspecific variation in C-banding pattern was observed within of chromosomal complements of some populations of this species. Using fluorochrome Chromomycin A3 (CMA), E. characias exhibit trait patterns of CMA+ bands in intercalary and telomeric regions. Many bands correspond to Giemsa C-band. After the double staining with chromomycin A3/DAPI numerous chromosomes have showed a distribution of rich pattern in basic G-C (CMA+/DAPI-). The present studies indicate that to determine this characteristic C-banding pattern has intervened a deep restructuring of the karyotype. The karyotypes of E. characias and E. wulfenii were indistinguishable with very similar karyomorphologies and banding patterns, and these data suggest that both entities might be geographical biotypes

Susceptibility mapping of shallow landslides inducing debris flows: a comparison of physics-based approaches

The assessment of timing and potential locations of rainfallinduced shallow landslides through mathematical models represents a challenge for the assessment of landslide hazard, especially in cases with limited or not available data. In fact, modeling slope hydrological response and stability requires accurate estimates of unsaturated/saturated hydraulic and geotechnical properties of materials involved in landsliding, as well as climate and topography. Such aspect is relevant for the prediction of location and timing of landslide events, which is greatly needed to reduce their catastrophic effects in terms of economic losses and casualties. To such a scope, we present the comparison of results of two physics-based models applied to the assessment of susceptibility to shallow rainfall-induced landslides in Valtellina region (northern Italy). The analyses were carried out considering effects of availability, resolution and type of data concerning spatial distribution, thickness and properties of soils coverings. For such a scope, the Transient Rainfall Infiltration and Grid-Based Regional Slope-Stability (TRIGRS) and the Climatic Rainfall Hydrogeological Modeling Experiment (CHRyME) models were considered. The study emphasizes issues in performing distributed numerical slope stability modeling depending on the availability of spatially distributed soil properties which hamper the quality of physic-based models. Further analyses aimed at the probabilistic assessment of landslide spatial distribution, related to a specific value of rainfall threshold, can be considered as potentially applicable to multi-scale landslide hazard mapping and extendable to other similar mountainous frameworks

Whole-exome sequencing of selected bread wheat recombinant inbred lines as a useful resource for allele mining and bulked segregant analysis

Although wheat (Triticum aestivum L.) is the main staple crop in the world and a major source of carbohydrates and proteins, functional genomics and allele mining are still big challenges. Given the advances in next-generation sequencing (NGS) technologies, the identification of causal variants associated with a target phenotype has become feasible. For these reasons, here, by combining sequence capture and target-enrichment methods with high-throughput NGS re-sequencing, we were able to scan at exome-wide level 46 randomly selected bread wheat individuals from a recombinant inbred line population and to identify and classify a large number of single nucleotide polymorphisms (SNPs). For technical validation of results, eight randomly selected SNPs were converted into Kompetitive Allele-Specific PCR (KASP) markers. This resource was established as an accessible and reusable molecular toolkit for allele data mining. The dataset we are making available could be exploited for novel studies on bread wheat genetics and as a foundation for starting breeding programs aimed at improving different key agronomic traits

Evaluation of the applicability of sediment transport models to dam filling prediction in different Italian geological contexts

Artificial reservoirs are crucial infrastructures, since they allow for the management of the water resource they store and for their role in the hydroelectric production. Water is modulated and stored inside artificial basins built upstream of the dams for hydroelectric, industrial, drinking, irrigation, and flood mitigation purposes. However, as time passes, the deposition of solid material, transported by rivers flowing into the reservoir, reduces its storage capacity. In this work, a novel physicallybased erosion and sediment transport model developed by Politecnico di Milano (SMART-SED) is used to estimate dam filling in different Italian geological contexts. The present model differs from others in the literature since it can automatically detect drainage zones and it works at a basin scale, requiring few input parameters that can be easily downloaded from global or government databases. Moreover, it is based on robust and unconditionally stable numerical techniques, and it guarantees the mass conservation. The proposed model was applied to four watersheds, two in the Southern Alps and two in the Southern Apennines, with catchment areas ranging from 5 to 48 km2. After the model calibration on the local geological context, a validation of the obtained results was accomplished considering different time intervals and the available sediment filling data. It was observed that the SMART-SED model, initially developed for the evaluation of fluvial hazard and of sediment transport in mountainous areas, was also suitable for the estimation of dam filling. Results indeed show a precise approximation of the order of magnitude of the cumulative sediment volume produced inside the catchments and transported to the water basins. In the framework of a complex problem affecting the production of “clean” energy in a changing world, SMART-SED could become a useful tool also for dam management

SOCIO-ECONOMIC FACTORS, FOOD HABITS AND PHOSPHORUS LEVELS IN PATIENTS ON HEMODIALYSIS

Background: Hyperphosphoremia is one of the most important risk factors for morbidity and mortality for chronic kidney disease (CKD) patients, and also, for the general population. Excessive dietary intake of phosphate (P) is one of the key factors. In particular, P in its inorganic form, which is contained in food additives, is more readily absorbed. Unfortunately, these food additives are mostly present in convenience so called "fast foods" (pre-cooked), soft drinks, which represent the typical food consumed by our hemodialysis (HD) population, composed by elderly people, mostly low-socio economic class, who often live alone. Objectives: We performed an observational retrospective multicenter study to find any association between social, cultural and economic situation, as well as food habits, and P levels in a cohort of patients on HD. Secondarily; we also examined the association between the fast food consumption and increased P levels, as well as patient compliance for P binding products. Patients and Methods: To explore the association between socio-economic factors and serum P levels, we enrolled 100 patients on periodic HD treatment from three different units. Information on social, cultural, economic, diet habits, therapy for hyperphosphoremia and hematological and clinical parameters had been collected through specific questionnaires, administered by a physician. Results: Results showed serum P level was reduced in patients who live alone compared to patients in family (P = 0.04), in self-sufficient (P = 0.05) and in patients belonging to middle-upper class, versus low-class (P = 0.003). Fast foods intake correlates with increase in P serum levels (P = 0.002), whilst the same correlation was not found for cheese intake. Our data show that socio-economic status and food habits are useful predictors of P serum levels. Conclusions: In conclusion, dietary counseling of patients on HD is mandatory. Interventions that consider the socio-economic situation allow delivering important messages on foods with the least amount of P and adequate protein content, and they may be a successful strategy in targeting patients at a higher risk of hyperphosphoremia

Physically based estimation of rainfall thresholds triggering shallow landslides in volcanic slopes of Southern Italy

On the 4th and 5th of March 2005, about 100 rainfall-induced landslides occurred along volcanic slopes of Camaldoli Hill in Naples, Italy. These started as soil slips in the upper substratum of incoherent and welded volcaniclastic deposits, then evolved downslope according to debris avalanche and debris flow mechanisms. This specific case of slope instability on complex volcaniclastic deposits remains poorly characterized and understood, although similar shallow landsliding phenomena have largely been studied in other peri-volcanic areas of the Campania region underlain by carbonate bedrock. Considering the landslide hazard in this urbanized area, this study focused on quantitatively advancing the understanding of the predisposing factors and hydrological conditions contributing to the initial landslide triggering. Borehole drilling, trial pits, dynamic penetrometer tests, topographic surveys, and infiltration tests were conducted on a slope sector of Camaldoli Hill to develop a geological framework model. Undisturbed soil samples were collected for laboratory testing to further characterize hydraulic and geotechnical properties of the soil units identified. In situ soil pressure head monitoring probes were also installed. A numerical model of two-dimensional variably saturated subsurface water flow was parameterized for the monitored hillslope using field and laboratory data. Based on the observed soil pressure head dynamics, the model was calibrated by adjusting the evapotranspiration parameters. This physically based hydrologic model was combined with an infinite-slope stability analysis to reconstruct the critical unsaturated/saturated conditions leading to slope failure. This coupled hydromechanical numerical model was then used to determine intensity–duration (I-D) thresholds for landslide initiation over a range of plausible rainfall intensities and topographic slope angles for the region. The proposed approach can be conceived as a practicable method for defining a warning criterion in urbanized areas threatened by rainfall-induced shallow landslides, given the unavailability of a consistent inventory of past landslide events that prevents a rigorous empirical analysis

Composizione e attività biologica di “idrolati” di agrumi

Gli idrolati, o acque aromatiche, sono prodotti naturali ricavati dalla distillazione di piante o parti di piante fresche che conservano intatte le loro proprietà e possono essere utilizzati a diverso scopo1. Essi sono comunemente considerati un sottoprodotto degli oli essenziali, ma in realtà, data la diversa composizione e la conseguente maggiore delicatezza, hanno un loro apprezzabile utilizzo, legato comunque al mantenimento delle proprietà delle piante da cui derivano. Nell’industria agrumaria gli idrolati sono il risultato della produzione degli oli essenziali attraverso spremitura a freddo delle bucce degli agrumi e sono considerati un rifiuto da smaltire. Lo studio della composizione chimica dell’idrolato è poco noto: gli idrolati sono comunque ricchi di composti prevalentemente ossigenati che oltre a conferire un gradevole profumo, possono donargli numerose proprietà biologiche. Abbiamo quindi deciso di intraprenderne uno studio di caratterizzazione LC-MS e GC-MS sull’idrolato dell’arancia di Ribera per identificare sostanze di interesse farmaceutico, cosmetico, ecc. e di possibile attività biologica. Questo potrebbe rappresentare per l’industria agrumaria un valore aggiunto nel valorizzare un prodotto attualmente di scarto. I risultati biologici preliminari hanno indicato che l’estratto organico inibisce la crescita di forme planctoniche di S. Aureus ATCC 25923 ad una concentrazione 5 mg/mL. Sono in corso ulteriori studi per valutare l’attività contro ceppi Gram-negativi e di inibizione di biofilm di Gram-positivi e Gram-negativi. Bibliografia 1 Lante, A.; Tinello, F. Innovative Food Science and Emerging Technologies, 2015, 27, 154–15

Beyond the Guidelines: The Grey Zones of the Management ofGastric Cancer. Consensus Statements from the Gastric CancerItalian Network (GAIN)

The Grey Zones of the Management ofGastric Cancer. Consensus Statements from the Gastric CancerItalian Network (GAIN

Salmo salar fish waste oil: Fatty acids composition and antibacterial activity

Background and aims Fish by-products are generally used to produce fishmeal or fertilizers, with fish oil as a by-product. Despite their importance, fish wastes are still poorly explored and characterized and more studies are needed to reveal their potentiality. The goal of the present study was to qualitatively characterize and investigate the antimicrobial effects of the fish oil extracted from Salmo salar waste samples and to evaluate the potential use of these compounds for treating pathogen infections. Methods Salmo salar waste samples were divided in two groups: heads and soft tissues. Fatty acids composition, and in particular the content in saturated (SAFAs), mono-unsaturated (MUFAs) and Polyunsaturated (PUFAs) fatty acids, was characterized through GC/MS Thermo Focus GC-DSQ II equipped with a ZB-5 fused silica capillary tubes column. The antimicrobial activity of the salmon waste oils was evaluated through the Minimum Inhibitory Concentration assay and the antibiotics contamination was determined by Liquid Chromatography with tandem Mass Spectrometry (LC-MS/MS) analysis. All experiments were done at least in triplicate. Results GC/MS analysis has shown the specific fatty acid composition of the salmon waste oils and their enrichment in MUFAs and PUFAs, with special reference to omega-3, -6, -7, -9 fatty acids. Furthermore, our study has highlighted the antimicrobial activity of the fish waste oil samples against two Gram+ and Gram- bacterial strains. Conclusions These data confirm that the fish waste is still quantitatively and qualitatively an important source of available biological properties that could be extracted and utilized representing an important strategy to counteract infective diseases in the context of the circular economy