Academic Thesis

Basic information

Name Hayashi Kei
Belonging department
Occupation name
researchmap researcher code B000308475
researchmap agency Okayama University of Science

Title

Dispersal direction of Malaysian Fasciola gigantica from neighboring southeast Asian countries inferred using mitochondrial DNA analysis

Bibliography Type

Author

Madoka Ichikawa-Seki, Kei Hayashi, Michiyo Tashiro, S. Khadijah

Summary

Fasciola gigantica and hybrid Fasciola flukes, responsible for the disease fasciolosis, are found in Southeast Asian countries. In the present study, we performed molecular species identification of Fasciola flukes distributed in Terengganu, Malaysia using multiplex PCR for phosphoenolpyruvate carboxykinase (pepck) and PCR-restriction fragment length polymorphism (RFLP) for DNA polymerase delta (pold). Simultaneously, phylogenetic analysis based on mitochondrial NADH dehydrogenase subunit 1 (nad1) was performed for the first time on Malaysian Fasciola flukes to infer the dispersal direction among neighboring countries. A total of 40 flukes used in this study were identified as F. gigantica. Eight nad1 haplotypes were identified in the F. gigantica population of Terengganu. Median-joining network analysis revealed that the Malaysian population was related to those obtained from bordering countries such as Thailand and Indonesia. However, genetic differentiation was detected using population genetics analyses. Nevertheless, the nucleotide diversity (π) value suggested that F. gigantica with the predominant haplotypes was introduced into Malaysia from Thailand and Indonesia. The dispersal direction suggested by population genetics in the present study may not be fully reliable since Fasciola flukes were collected from a single location in one state of Malaysia. Further studies analyzing more samples from many locations are required to validate the dispersal direction proposed herein.

Magazine(name)

Infection, Genetics and Evolution

Publisher

Volume

105

Number Of Pages

StartingPage

105373

EndingPage

105373

Date of Issue

2022/11

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