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Evaluation of Antibiotic Resistance in Bacterial Strains Isolated from Sewage of Slaughterhouses Located in Sicily (Italy).

ABSTRACT: Antimicrobial resistance is presently one of the most public health critical concerns. The frequent and often incorrect use of antibiotics in animal husbandry has led to the spread of antimicrobial resistance in this setting. Wastewater from slaughterhouses can be contaminated with multidrug-resistant bacteria, representing a possible cross-contamination route. We evaluated the presence of antibiotic-resistant bacteria in wastewater samples from slaughterhouses located in an Italian region. Specifically, 18 slaughterhouses were included in the study. Of the tested samples, 40 bacterial strains were chosen, identified, and tested for antibiotic susceptibility. Pseudomonas spp., Proteus spp., Enterobacter spp., Aeromonas spp., and Citrobacter spp. were the most detected genera. The most resistant strains were on average those belonging to Enterobacter spp. The highest resistance rate was recorded for macrolides. Among β-lactams, penicillins and cephalosporins were by far the molecules towards which the highest resistance was detected. A very interesting finding is the difference found in strains detected in wastewater from poultry slaughterhouses, in which higher levels for almost all the considered drugs were detected compared to those from ungulates slaughterhouses. Our results indicate wastewater from slaughterhouses as a potential vehicle of resistant bacteria and highlight the importance of correct management of these kinds of waters.

SUBMITTER: Facciola A

PROVIDER: S-EPMC8467622 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BACKGROUND:Leishmaniasis is one of the most important vector-borne diseases and it represents a serious world health problem affecting millions of people. High levels of Leishmania infections, affecting both humans and animals, are recognized among Italian regions. Among these, Sicily has one of the highest prevalence of Leishmania infection. METHODOLOGY/PRINCIPAL FINDINGS:Seventy-eight Leishmania strains isolated from human and animal samples across Sicily, were analyzed for the polymorphic k26-gene and genotypes were assigned according to the size of the PCR products. A multilocus microsatellite typing (MLMT) approach based on the analysis of 11 independent loci was used to investigate populations structure and genetic diversity of the isolated strains. Six L. infantum reference strains were included in the analysis for comparison. Bayesian clustering analysis of microsatellite data showed that all the isolated strains clustered in two genetically distinct populations, corresponding to human and canine isolates respectively. A further subdivision was observed between the two main groups, giving a good correlation between human strains and their geographic origin, conversely canine population showed a great genetic variability diffused in the territory. CONCLUSIONS/SIGNIFICANCE:Among the 78 Leishmania isolates, K26 analysis detected 71 samples (91%) as MON-1 zymodeme, confirming it as the predominant strain in Mediterranean area and 7 human samples (9%) as non-MON-1. MLMT gives important insights into the epidemiology of leishmaniases and allows characterization of different strains to a higher resolution than possible with zymodeme typing. Two main populations presented a strong correlation respect to the different hosts, exhibiting a co-circulation of two distinct populations of L. infantum. The population found in infected humans exhibited a correlation with geographic origin. These clusters could represent a geographically restricted population of strains with the same or related genotypes. This study can contribute to an understanding of Leishmania epidemiology, including the spread of reservoirs and sand fly vectors in the different foci of infection, characterizing parasites within the different hosts.

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Evaluation of Antibiotic Resistance in Bacterial Strains Isolated from Sewage of Slaughterhouses Located in Sicily (Italy).

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