Detection of Coxiella burnetii in Urban River Water.

Previous molecular-based studies have identified microorganisms of zoonotic and human nature in surface waters. Contaminated water can lead to human health issues, and the detection of pathogenic microorganisms is a valuable tool for the prevention of their spread. Water samples were taken from the River Tiber in and out of the city of Rome. Genetic analysis of the sequences obtained showed the presence of Coxiella burnetii in both the analyzed sites. Blast analysis showed that two sequences were identical to each other. Sequences from the polluted site showed high homology with different strains of C. burnetii. In this article, we report for the first time the presence of C. burnetii in environmental waters.

A pilot study of bacterial regrowth in water pipelines.

Bacterial regrowth in water distribution systems results in deterioration of bacteriological quality of drinking water, as well as accelerated corrosion of the pipelines. The aim of the present study was to analyze the phenomena of colonization and bacterial regrowth in source water and in the water distribution systems of three distribution networks in the province of Catania (Sicily, Italy). The BART™ (Biological Activity Reaction Test) method was used, which is also capable of determining the potential aggressiveness of microbial species in water. We searched for sulfate reducing bacteria, iron-related bacteria, nitrifying and denitrifying bacteria, heterotrophic bacteria, slime-forming bacteria and fluorescent Pseudomonads. A high concentration of heterotrophic bacteria was found in almost every water sample analyzed. Sulfate reducing bacteria and iron-related bacteria were found in all three distribution networks, while non-fluorescing Pseudomonas were detected in source water of only one of the distribution networks. The BART™ method was found to be a practical and easy to use tool to detect the different bacteria groups involved in regrowth phenomena.

Probabilistic expert systems for forensic inference from DNA markers in horses: applications to confirm genealogies with lack of genetic data.

Microsatellites have been used for parentage testing and individual identification in forensic science because they are highly polymorphic and show abundant sequences dispersed throughout most eukaryotic nuclear genomes. At present, genetic testing based on DNA technology is used for most domesticated animals, including horses, to confirm identity, to determine parentage, and to validate registration certificates. But if genetic data of one of the putative parents are missing, verifying a genealogy could be questionable. The aim of this paper is to illustrate a new approach to analyze complex cases of disputed relationship with microsatellites markers. These cases were solved by analyzing the genotypes of the offspring and other horses' genotypes in the pedigrees of the putative dam/sire with probabilistic expert systems (PESs). PES was especially efficient in supplying reliable, error-free Bayesian probabilities in complex cases with missing pedigree data. One of these systems was developed for forensic purposes (FINEX program) and is particularly valuable in human analyses. We applied this program to parentage analysis in horses, and we will illustrate how different cases have been successfully worked out.

Characterization of anti-D monoclonal antibody reagents based on their reactivity with the weak D phenotype.

BACKGROUND: Anti-D monoclonal antibody (MoAb) reagents have improved D typing in routine tests. However, they exhibit a wide range of reactivity with the weak D phenotype depending on the characteristics of the different MoAbs used. We analyzed the reactivity of immunoglobulin (IgM) anti-D by cluster analysis to characterize MoAb that have similar reactivities with the weak D phenotype. STUDY DESIGN AND METHODS: We used 36 consecutive samples with weak D phenotype in routine testing and determined their reactivity with different IgM and IgG anti-D MoAbs. The samples were characterized as belonging to a weak D type or category using commercial molecular biology kits. RESULTS: The various anti-D MoAbs showed a wide grade of reactivity with the weak D samples. Similarities and dissimilarities in the behavior of the anti-D MoAbs with the weak D phenotype samples were detected with cluster analysis and the multidimensional scaling analysis. These analyses indicated different families of MoAbs characterized as having a high degree of homogeneity in their reactivity with the weak D phenotype. Between these MoAb families, the most effective at reacting with the weak D phenotype were RUM-1 and 175-2. CONCLUSIONS: The results show that it is possible to classify the anti-D MoAbs on the basis of their reactivity with the weak D phenotype. This provides information about different MoAbs' properties on the basis of their belonging to a given of anti-D family.