Molecular and virulence characterization of Toxoplasma gondii strains isolated from humans in Portugal.
Anabela VilaresMaria João GargatéIdalina FerreiraSusana MartinsJoão Paulo GomesPublished in: Parasitology research (2017)
Toxoplasma gondii is an apicomplexan parasite responsible for toxoplasmosis which infects all warm-blooded vertebrates, including mammals and birds. The majority of studies conducted in Europe have revealed that more than 80 % of strains isolated from human infections belong to genotype II, whereas genotypes I and III are responsible for a small number of cases. Atypical and recombinant strains are generally associated with more severe infections. In Portugal, there is a lack of data concerning genetic diversity as the classical typing studies in humans have never been performed. We aimed to determine the Sag2 and microsatellite-based (TUB2, TgM-A, W35, B17, B18) genotypes of T. gondii isolated from humans in Portugal, as well as to study their virulence in mice. We analyzed 48 strains from congenital and acquired toxoplasmosis collected during the last two decades. Sag2-based genotyping of T. gondii was achieved in all 48 strains where 35 (73 %) were classified as type II and 13 (27 %) were type I. The multilocus PCR of five microsatellites allowed the classification of 10 strains (21 %) as recombinant strains that had been previously identified as type II or I by Sag2 typing. Seven out of the 48 strains, including three type I, three recombinant, and one type I, were virulent in mice. This study constitutes the first evidence of recombinant strains circulating in Portugal in humans from congenital infection, highlighting the need for a better evaluation of these strains as their phenotype is still barely understood.
Keyphrases
- escherichia coli
- toxoplasma gondii
- genetic diversity
- staphylococcus aureus
- endothelial cells
- pseudomonas aeruginosa
- machine learning
- metabolic syndrome
- cystic fibrosis
- high throughput
- dna methylation
- electronic health record
- single cell
- insulin resistance
- adipose tissue
- artificial intelligence
- high fat diet induced
- big data