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Antimicrobial resistance (AMR) is a global health concern that has been linked to humans, animals, and the environment. The One Health approach highlights the connection between humans, animals, and the environment and suggests that a multidisciplinary approached be used in studies investigating AMR. The present study was carried out to identify and characterize the antimicrobial resistance profiles of bacteria isolated from wildlife and livestock feces as well as from surface water samples in Maiella National Park, Italy. Ecological and georeferenced data were used to select two sampling locations, one where wildlife was caught within livestock grazing areas (sympatric group) and one where wildlife was caught outside of livestock grazing areas (non-sympatric group). Ninety-nine bacterial isolates from 132 feces samples and seven isolates from five water samples were collected between October and December 2019. The specimens were examined for species identification, antibiotic susceptibility and molecular detection of antibiotic resistance. Forty isolates were identified as Escherichia coli, forty-eight as Enterococcus spp., eight as Streptococcus spp. and ten as other gram-negative bacteria. Phenotypic antibiotic resistance to at least one antimicrobial agent, including some antibiotics that play a critical role in human medicine, was detected in 36/106 (33.9%, 95% CI: 25–43) isolates and multidrug resistance was detected in 9/106 isolates (8.49%, 95% CI: 3.9–15.5). In addition, genes associated with antibiotic resistance were identified in 61/106 (57.55%, 95% CI: 47.5–67) isolates. The samples from sympatric areas were 2.11 (95% CI: 1.2–3.5) times more likely to contain resistant bacterial isolates than the samples from non-sympatric areas. These data suggest that drug resistant bacteria may be transmitted in areas where wildlife and livestock cohabitate. This emphasizes the need for further investigations focusing on the interactions between humans, wildlife, and the environment, the results of which can aid in the early detection of emerging AMR profiles and possible transmission routes.

Background Bacterial antimicrobial resistance is a significant global threat to public health, closely linked to the misuse of antimicrobials in human and veterinary medicine, aquaculture, and agriculture. The consequences of antimicrobial resistance overcome species boundaries and require a holistic approach for mitigation actions. The study of antimicrobial resistance in wildlife is thus increasingly relevant to understand the spread of antimicrobial resistance in the environment and the animal community, as well as to investigate the role of wildlife either as a carrier, reservoir, spillover, or indicator of antimicrobial resistance. The aim of this study is to describe the prevalence and type of antimicrobial resistance in bacterial isolates from wild mammals through systematic review and meta-analysis of the available literature, following the Preferred Reporting Items for Systematic reviews and Meta-Analysis (PRISMA) guidelines. Results Out of 5052 collected documents, 3795 were screened, and finally 139 studies on antimicrobial resistance in free-ranging wild mammals were included in the meta-analysis. The studies covered 37 countries, mostly European. The Enterobacterales Escherichia coli and Salmonella spp., as well as Campylobacter spp., were the most frequently targeted bacterial species, mainly in the Artiodactyla order and specifically in the Suidae and Cervidae families. Low to moderate prevalences of antimicrobial resistance were found in all the continents, countries, bacteria, host taxa, and antimicrobials included in the meta-analysis, even for critically important antimicrobials as defined by the World Health Organisation, with higher values in Africa and Asia, in carnivores, and in animal species with high adaptability to diverse habitats. Conclusion This meta-analysis showed that antimicrobial resistance in wild mammals is widespread and variable according to taxonomy, trophic source, and geographic location. The meta-analysis highlighted methodological gaps that need to be addressed to improve the interpretation and conclusions obtained from the data. Genetic analyses on antimicrobial resistance and population ecological data should be included in future analysis to achieve a standardised methodology and overcome current limitations. To date, wildlife appears to be an environmental indicator of antimicrobial resistance and should be included in antimicrobial resistance surveillance plans not only because this sentinel role but also to monitor potential spill-back to livestock and/or humans.

The aim of this study was to evaluate the resistance patterns against selected critically and highly important antibiotics (quinupristin/dalfopristin, vancomycin, and linezolid) in 48 Enterococcus isolates obtained from wild (red deer and Apennine chamois) and domestic (cattle, sheep, and goats) ruminants living with varying degrees of sympatry in the protected area of Maiella National Park (central Italy). According to CLSI breakpoints, 9 out of 48 isolates (18.8%) showed resistance to at least one antibiotic. One Apennine chamois isolate was resistant to all tested antibiotics. The PCR screening of related resistance genes highlighted the occurrence of msrC or cfrD in seven Enterococcus resistant isolates. In addition, msrC and vanC genes were amplified in susceptible isolates. Specific sequences of virulence genes (gelE, ace, efa, asa1, and esp) related to pathogenic enterococci in humans were amplified in 21/48 isolates (43.75%), belonging mostly to wild animals (15/21; 71.42%). This is the first report of linezolid-resistant enterococci harboring virulence genes in Italian wildlife with special regard to the red deer and Apennine chamois species. The results allow us to evaluate the potential role of wild animals as indicators of antibiotic resistance in environments with different levels of anthropic pressure.

The Apennine wolf ( ) is a distinct subspecies whose ongoing population recovery in Italy has progressively increased the demand for live capture protocols validated for scientific monitoring and conservation management. Despite the widespread use of mechanical and chemical immobilization in European wolf management, no study has to date systematically evaluated the combined use of the Fremont™ humane foot snare with a medetomidine-ketamine-acepromazine (MKA) protocol in this subspecies, nor characterized the associated cardiorespiratory, thermal, and hematobiochemical parameters under operational field conditions. Between June 2010 and July 2017, thirteen free-ranging Apennine wolves were captured in Maiella National Park (central Apennines, Italy) using the Fremont™ snare and immobilized with a standardized MKA protocol; only animals immobilized with this protocol are reported here, as three additional capture events employed different drug combinations. Cardiorespiratory parameters, body temperature, peripheral oxygen saturation, venous blood gas values, and a comprehensive hematological and serum biochemical panel were recorded during immobilization. Mean heart rate was 100 ± 15 bpm, respiratory rate 24 ± 13 breaths/min, body temperature 38.1 ± 1.3 °C, and mean SpO 88 ± 11% (range: 66-97%; = 12). No clinically significant hyperthermia requiring active intervention was recorded in the cohort as a whole. Hematological and biochemical values were broadly consistent with published reference ranges for the species, with condition-specific deviations identified in two individuals-one pregnant female and one juvenile presenting signs of transient capture-related myopathy-both of which resolved without clinical sequelae. No capture-related mortality occurred. All thirteen individuals survived the minimum post-capture monitoring period. Preliminary GPS observations in a subset of individuals ( = 3) suggest a transient reduction in movement activity in the immediate post-release period. These findings support the safety and operational feasibility of the combined Fremont™ snare-MKA protocol for the Apennine wolf, and provide baseline physiological and hematobiochemical reference data for relevant to future capture and conservation management programmes.

The Apennine wolf (Canis lupus italicus) is a subspecies of gray wolf that is widespread throughout Italy. Due to hunting and habitat loss, their population declined dramatically in the late 19th and early 20th centuries, but conservation efforts improved to restore the species to an estimated population of 3300 individuals. The presence of antibiotic-resistant bacteria in Apennine Wolf may pose a risk to its health and survival, as well as the health of other animals in its environment. In this study, we investigated the antibiotic resistance profiles of bacteria collected from Apennine wolves admitted to the Wildlife Research Center of Maiella National Park (Italy) in 2022. A total of 12 bacteria collected from four wolves were isolated and tested for susceptibility to antibiotics used in veterinary medicine and to critically important antibiotics for human health by means of the Vitek 2 system. All isolates were resistant to at least one antibiotic, and six bacteria were multidrug resistant to critically important antibiotics (third-generation cephalosporins, carbapenems and fluoroquinolones). The results of this pilot study have allowed for the characterization of resistant profiles in Escherichia coli, Enterococcus faecalis and other bacterial species not previously reported in Apennine wolves. Our findings provide important insights into antibiotic resistance in wildlife and its potential implications for the conservation of biodiversity and public health.

Canine distemper is a contagious infectious disease, caused by canine distemper virus (CDV) belonging to Morbillivirus genus, Paramyxoviridae family, representing a serious threat for domestic and wild carnivores [...]

Seminatural grasslands are among the most threatened habitats in Europe and worldwide, mainly due to changes in/abandonment of their traditional extensive use by grazing animals. This study aimed to develop an innovative model that integrates plant biodiversity, animal husbandry, and geo-informatics to manage and preserve seminatural grasslands in protected areas. With this objective, an integrated study was conducted on the seminatural grasslands in the hilly, montane, and (to a minimum extent) subalpine belts of the Maiella National Park, one of Europe’s most biodiversity-rich protected sites. Plant biodiversity was investigated through 141 phytosociological relevés in homogeneous areas; the pastoral value was calculated, and grasslands’ productivity was measured together with the main nutritional parameters. Uni- and multivariate statistical analyses were performed to identify the main grassland vegetation types, their indicator species and ecological–environmental characteristics, and their pastoral and nutritional values’ variability and differences. A total of 17 grassland types, most of which correspond to habitat types listed in Annex I to the 92/43/EEC Directive, were identified and characterised in terms of their biodiversity and potential animal load. To allow for near-real-time analysis of grasslands, an NDVI-based web interface running on Google Earth Engine was implemented. This integrated approach can provide decision-making support for protected-area managers seeking to develop and implement sustainable grassland management practices that ensure the long-term maintenance of their biodiversity.

The aim of this study was to determine and characterize potential resistance mechanisms against selected Critically Important Antibiotics in Escherichia coli isolates collected from wild and domestic ruminants living in the Maiella National Park, in Central Italy. A total of 38 isolates were obtained from red deer, Apennine chamois, cattle, sheep, and goats grazing in lands with different levels of anthropic pressure. Antimicrobial susceptibility was determined by Minimal Inhibitory Concentration testing, showing phenotypic resistance to colistin, meropenem, or ceftazidime in 9 isolates along with one bacterial strain being resistant to three of the tested antibiotics. In addition, the biomolecular assays allowed the amplification of the genes conferring the colistin (mcr-4), the carbapenems (OXA-48), penicillins and cephalosporins (TEM, SHV, CMY-1, CMY-2) resistance. In order to describe the potential pathogenicity of isolates under study, virulence genes related to Shiga toxin-producing (STEC) and enteropathogenic (EPEC) pathovars were identified. This study is the first report of mcr-4 and OXA-48 genes in resistant E. coli harboring virulence genes in Italian wildlife, with special regard to Apennine chamois and red deer species. The multidisciplinary approach used in this study can improve the early detection of emerging antibiotic resistance determinants in human-animal-environment interfaces by means of wildlife monitoring.

The Apennine chamois (Rupicapra pyrenaica ornata) is one of the rarest subspecies in Italy, listed in Annexes II and IV of the Habitats Directive and currently included as a vulnerable subspecies in the International Union for Conservation of Nature (IUCN) Red List. The Maiella National Park population has recently been defined as a source population for reintroduction into other parks. Since collective captures allow for better selection of target animals for the establishment of new colonies, the aim of this study is to evaluate the physiological conditions and animal welfare in free-ranging Apennine chamois after collective physical capture followed by chemical immobilization with medetomidine 0.054 mg ± 0.007, ketamine 2.14 mg ± 0.28, and acepromazine 0.043 mg ± 0.006. Twenty-one Apennine chamois (18 females and 3 males) were captured and translocated for conservation purposes. The effects of capture and anesthesia were evaluated using clinical variables, hematology, serum biochemistry, and venous blood gas analysis, the latter being used in the field for the first time in chamois capture. A risk of metabolic acidosis and capture myopathy was identified, although it did not compromise the survival of 19 chamois, which adapted to novel environments and founded new colonies, as verified through GPS radiocollars. The protocol applied in this study represents an innovative approach to assessing animal physiology and welfare in collective mountain ungulate captures, useful for improving management activities for conservation purposes.

In this study, a multi-pathogens survey was conducted to verify the sanitary status of two Italian wolf packs of Majella National Park. Twenty fecal samples (10/pack) were collected using a sampling protocol, based on the combining data from radio-collared wolves with geographic information system (GIS) analysis, allowing to mark off the home range of packs and to recover group-specific and high-quality specimens. Virological screening against the most prevalent canine viruses (protoparvovirus, distemper virus, adenoviruses, and coronaviruses) was carried out by molecular methods, while parasites were detected by means of copromicroscopic and molecular analysis. Canine parvovirus type 2b (CPV-2b) is the most prevalent virus in both packs (7/20), followed by canine adenovirus type 2 (CAdV-2), while no sequences of canine distemper virus and coronaviruses were detected. The sequence analysis of the viruses demonstrated the domestic origin of the infection, highlighting the importance of vaccination of local dogs in order to reduce the risk of exposure of wildlife to these pathogens. Fourteen samples resulted positive for parasites. Capillaria aerophila (sin. Eucoleus aerophilus), Ancylostoma/Uncinaria, Trichuris vulpis eggs, Sarcocystis spp., Cystoisospora canis, and Angiostrongylus vasorum larvae were identified. Echinococcus granulosus sensu stricto (ovine genotype G1) and Giardia duodenalis(canid-specific Assemblage C) were also characterized, providing insights into the wolves’ diet and their effects on environmental contamination. The sampling protocol applied in this study, based on a multidisciplinary approach, represents an innovative tool for the survey of Apennine wolf, able to integrate sanitary data with the ecological and demographic features of this population.