| Literature DB >> 33927299 |
Arwa Lachkhem1, Lokman Galal2, Ibtissem Lahmar3, Karine Passebosc4, Homayoun Riahi4, Nicolas Plault2, Marie-Laure Dardé2,4, Aurélien Mercier2,4, Hamouda Babba5,6.
Abstract
The isolation and molecular typing of Toxoplasma gondii strains provide an essential basis for a better understanding of the parasite's genetic diversity, determinants of its geographical distribution and associated risks to human health. In this study, we isolated and genetically characterized T. gondii strains from domestic animals in Southern and coastal area of Tunisia. Blood, hearts and/or brains were collected from 766 domestic animals (630 sheep and 136 free-range chickens). Strain isolation from these samples was performed using mouse bioassay and genotyping was carried out with a multiplex PCR technique using 15 microsatellite markers. Thirty viable strains of T. gondii were successfully isolated from tissues of sheep (19/142) and chickens (11/33). In addition, 3 strains could be successfully genotyped from animal tissues for which mouse bioassay was unsuccessful. A large predominance of type II strains (n = 29) was found in the sampled regions, followed by type III (n = 3) and, for the first time in Tunisia, a single isolate of Africa 4 lineage from a sheep. Analyses of population genetics showed the presence of a divergent population of type II lineage in Tunisia, supporting limited recent migrations of strains between Tunisia and other countries of the world.Entities:
Year: 2021 PMID: 33927299 PMCID: PMC8085010 DOI: 10.1038/s41598-021-88751-1
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Figure 1Neighbor-joining (NJ) tree of genotypes inferred from Cavalli–Sforza distances calculated from the data of 15 microsatellite markers for the 33 strains described in this study (red triangles) and a set of strains from previous studies: Human Tunisian strains (red circles), African strains (blue triangles for Algeria, green triangles for Ethiopia and brown triangles for Gabon) and reference strains representing the global diversity of Toxoplasma gondii. Reference strains and their respective haplogroups (HG) are indicated in bold letters when available (for details refer to Supplementary Table S2). Coloured branches in the NJ tree correspond to the T. gondii lineages found in Tunisia: type II lineage in light green, type III lineage in blue and Africa 4 lineage in dark green. This figure was drafted by L.G. in Adobe Illustrator CS6 (http://www.adobe.com/fr/products/illustrator.html).
Figure 2Minimum spanning network (MSN) representing the relationships between multilocus genotypes (MLG) of the type II lineage from (a) Monastir and Gafsa within Tunisia and (b) MLGs from Tunisia, Europe, Africa and Turkey. MSNs are based on MLGs defined by 15 microsatellite markers. The diameter of the point and the colour gave the number of strains and country of isolation respectively. Thick and dark lineages show MLGs that are more closely related to each other. The figures (a) and (b) were generated with the software RStudio 1.2.5042 (https://rstudio.com/products/rstudio/).
Figure 3Genetic clustering of Toxoplasma gondii populations of type II lineage from Tunisia, Europe, Africa and Turkey utilizing the discriminant analysis of principal components (DAPC). (a) Bayesian information criterion (BIC) is provided for different numbers of clusters (from 1 to 35). (b) Scatterplot indicating axes 1 and 2 of the discriminant analysis of PCA-transformed data (DAPC). Individual clones are indicated by dots. Numbers and colours mention the five genetic clusters retained from Bayesian information criterion (BIC) values. (c) Barplots for the first two principal components of each individual estimated from DAPC. Individual strains are aligned along the x-axis and grouped according to the country of origin. Strains are assigned either to one cluster (each cluster is marked by a different colour) or to multiple clusters if their genotypes were admixed (indicated by multiple colours). The figures (a)–(c) were generated with the software RStudio 1.2.5042 (https://rstudio.com/products/rstudio/).