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Geographical Influence on Morphometric Variability of Genetically "Pure" Schistosoma haematobium Eggs from Sub-Saharan Migrants in Spain.

Marta Reguera-GomezMaria Adela Valero AleixandrePatricio ArtigasAlejandra De Elías-EscribanoMaria Cecilia FantozziMaría Pilar Luzón-GarcíaJoaquín Salas-CoronasJerome BoissierSantiago Mas-ComaMaria Dolores Bargues
Published in: Tropical medicine and infectious disease (2023)
Schistosome eggs play a key role in schistosomiasis diagnosis and research. The aim of this work is to morphogenetically study the eggs of Schistosoma haematobium found in sub-Saharan migrants present in Spain, analyzing their morphometric variation in relation to the geographical origin of the parasite (Mali, Mauritania and Senegal). Only eggs considered "pure" S. haematobium by genetic characterization (rDNA ITS-2 and mtDNA cox 1) have been used. A total of 162 eggs obtained from 20 migrants from Mali, Mauritania and Senegal were included in the study. Analyses were made by the Computer Image Analysis System (CIAS). Following a previously standardized methodology, seventeen measurements were carried out on each egg. The morphometric analysis of the three morphotypes detected (round, elongated and spindle) and the biometric variations in relation to the country of origin of the parasite on the egg phenotype were carried out by canonical variate analysis. Mahalanobis distances, when all egg measurements were analyzed, showed differences between: (i) Mali-Mauritania, Mali-Senegal and Mauritania-Senegal in the round morphotype; (ii) Mali-Mauritania and Mauritania-Senegal in the elongated morphotype; and (iii) Mauritania-Senegal in the spindle morphotype. Mahalanobis distances, when spine variables were analyzed, showed differences between Mali-Senegal in the round morphotype. In conclusion, this is the first phenotypic study performed on individually genotyped "pure" S. haematobium eggs, allowing the assessment of the intraspecific morphological variations associated with the geographical origin of the schistosome eggs.
Keyphrases
  • gene expression
  • deep learning
  • mitochondrial dna
  • copy number
  • plasmodium falciparum