Fatal case of imported visceral leishmaniasis in a dog caused by Leishmania infantum in French Guiana.

Here we described a case of fatal canine visceral leishmaniasis (VL) in French Guiana, a non-endemic VL Amazonian area. The dog was a 2-year-old pug imported from Brazil to French Guiana. Initially seen for a pruriginous lesion on the muzzle which healed after treatment, the dog was in a deteriorated condition and had sublingual, foreleg and eye ulcers, one month later. A visceral leishmaniasis was suspected by the veterinarian. The dog was hospitalized awaiting results, which revealed the presence of L. infantum. However, the dog succumbed suddenly before the results were returned. Few imported and scarce autochthonous canine VL cases have been previously reported in French Guiana, raising the need for local epidemiological surveillance, considering the possibility of unusual transmission routes of the parasite.

Meat-Borne-Parasite: A Nanopore-Based Meta-Barcoding Work-Flow for Parasitic Microbiodiversity Assessment in the Wild Fauna of French Guiana.

French Guiana, located in the Guiana Shield, is a natural reservoir for many zoonotic pathogens that are of considerable medical or veterinary importance. Until now, there has been limited data available on the description of parasites circulating in this area, especially on protozoan belonging to the phylum Apicomplexa; conversely, the neighbouring countries describe a high parasitic prevalence in animals and humans. Epidemiological surveillance is necessary, as new potentially virulent strains may emerge from these forest ecosystems, such as Amazonian toxoplasmosis. However, there is no standard tool for detecting protozoa in wildlife. In this study, we developed Meat-Borne-Parasite, a high-throughput meta-barcoding workflow for detecting Apicomplexa based on the Oxford Nanopore Technologies sequencing platform using the 18S gene of 14 Apicomplexa positive samples collected in French Guiana. Sequencing reads were then analysed with MetONTIIME pipeline. Thanks to a scoring rule, we were able to classify 10 samples out of 14 as Apicomplexa positive and reveal the presence of co-carriages. The same samples were also sequenced with the Illumina platform for validation purposes. For samples identified as Apicomplexa positive by both platforms, a strong positive correlation at up to the genus level was reported. Overall, the presented workflow represents a reliable method for Apicomplexa detection, which may pave the way for more comprehensive biomonitoring of zoonotic pathogens.