Phylogenetic analysis of S. mansoni in an infected population from two governorates in Egypt
Abd El-Latif, N., Elsayad, M., Thoul, C., Mohamed, S., Tolba, M. (2025). Phylogenetic analysis of S. mansoni in an infected population from two governorates in Egypt. EKB Journal Management System, 18(1), 76-81. doi: 10.21608/puj.2025.351064.1282
Naglaa F Abd El-Latif; Mona H Elsayad; Cham T Thoul; Shymaa A Mohamed; Mona M Tolba. "Phylogenetic analysis of S. mansoni in an infected population from two governorates in Egypt". EKB Journal Management System, 18, 1, 2025, 76-81. doi: 10.21608/puj.2025.351064.1282
Abd El-Latif, N., Elsayad, M., Thoul, C., Mohamed, S., Tolba, M. (2025). 'Phylogenetic analysis of S. mansoni in an infected population from two governorates in Egypt', EKB Journal Management System, 18(1), pp. 76-81. doi: 10.21608/puj.2025.351064.1282
Abd El-Latif, N., Elsayad, M., Thoul, C., Mohamed, S., Tolba, M. Phylogenetic analysis of S. mansoni in an infected population from two governorates in Egypt. EKB Journal Management System, 2025; 18(1): 76-81. doi: 10.21608/puj.2025.351064.1282

Phylogenetic analysis of S. mansoni in an infected population from two governorates in Egypt

Parasitologists United Journal
Article 9, Volume 18, Issue 1, April 2025, Page 76-81  XML PDF (611.21 K)
Document Type: Original Article
DOI: 10.21608/puj.2025.351064.1282
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Authors
Naglaa F Abd El-Latif email orcid 1; Mona H Elsayad2; Cham T Thoul3; Shymaa A Mohamed4; Mona M Tolbaorcid 5
1Parasitology department, Medical research institute, Alexandria University
2Department of Parasitology, Medical Research Institute, University of Alexandria, Egypt.
3medical laboratory science college, Upper Nile University, South Sudan ,Juba
4Colleague of molecular Biology, Applied Medical Chemistry, Medical Technology Center, Medical Research Institute.
5Department of Parasitology, Medical Research Institute, University of Alexandria, Egypt
Abstract
Background: Data scarcity significantly hinders comprehensive phylogenetic analyses of S. mansoni. This limitation impedes our understanding of its evolutionary history, population structure, and the emergence of drug resistance. Addressing this gap through increased genomic sampling is crucial for robust evolutionary inferences and effective control strategies.
Objective: The present work aimed to appraise the genetic diversity of S. mansoni in two Egyptian governorates.
Subjects and Methods: Schistosoma eggs were detected using the Kato–Katz method in a total of 238 fecal samples from the two areas. From 33 positive samples, cytochrome c oxidase (cox-1) gene of 9 random cases was detected using conventional PCR, and sequenced from the mitochondrial DNA of S. mansoni. The alignment results were subsequently used to construct a phylogenetic tree via the neighbor-joining method in the MEGA6 program.
Results: The overall detection rate of S. mansoni in the study population was 13.9% representing 14.1%, and 13.6% in Kafr El Sheikh and El-Behira governorates, respectively. Alignment analysis of S. mansoni in the two governorates revealed three closely related clusters. One of the sequences was submitted to GenBank under accession number MW784615 (https://blast.ncbi.nlm.nih.gov/Blast.cgi#alnHdr_ 532139118).
Conclusion: Phylogenetic analysis revealed minimal genetic dive
Keywords
cox-1 gene; Egypt; gene bank; phylogenetic analysis; risk factors; S. mansoni
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