Genetic relatedness and diversity of Capillaria species infecting bayad (Bagrus bajad) in upper Egypt

This study investigates the genetic characteristics of Capillaria isolates from the infected fish, Bagrus bajad, and their relation to human Capillaria philippinensis using Random Amplified Polymorphic DNA (RAPD-PCR) analysis. Fifteen fish Capillaria were isolated and compared to identified human C....

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Veröffentlicht in:BMC veterinary research 2024-05, Vol.20 (1), p.235-9, Article 235
Hauptverfasser: Abd-Elrahman, Salwa Mahmoud, Abdel-Rahman, Salma M, Bakir, Hanaa Y, Othman, Ragaa A, Khedr, Abeer A, Khalifa, Mervat M, Abdel-Hakeem, Sara S
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Sprache:eng
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Zusammenfassung:This study investigates the genetic characteristics of Capillaria isolates from the infected fish, Bagrus bajad, and their relation to human Capillaria philippinensis using Random Amplified Polymorphic DNA (RAPD-PCR) analysis. Fifteen fish Capillaria were isolated and compared to identified human C. philippinensis using six primers: M-are, M-1, G-7, G-11, G-15, and G-18. All six primers successfully amplified DNA, highlighting their efficacy in distinguishing between human and fish Capillaria isolates. The analysis revealed distinctive banding patterns between fish and human isolates, with variations in size and number of DNA fragments. Additionally, genetic similarity analysis showed intriguing patterns of relatedness, with certain pairs exhibiting high similarity percentages. Comparative assessment of RAPD polymorphism demonstrated consistent findings of 100% polymorphism across all primers. The Unweighted Pair Group Method with Arithmetic Mean Algorithm (UPGMA) evaluated the closest relationship between human and fish isolates. These results underscore the utility of RAPD analysis in delineating the genetic diversity among Capillaria isolates from different hosts. Overall, this study contributes to our understanding of the genetic variability and relatedness among Capillaria isolates, shedding light on their evolutionary dynamics and zoonotic potential.
ISSN:1746-6148
1746-6148
DOI:10.1186/s12917-024-04076-x