Please use this identifier to cite or link to this item: https://ir.swu.ac.th/jspui/handle/123456789/29337
Title: Differentiating paramphistome species in cattle using DNA barcoding coupled with high-resolution melting analysis (Bar-HRM)
Authors: Buddhachat K.
Sriuan S.
Nak-on S.
Chontananarth T.
Keywords: Cattle
Cytochrome c oxidase subunit I (COI)
NADH dehydrogenase 1 (ND1)
Paramphistome
Rumen fluke
Issue Date: 2023
Publisher: Springer Science and Business Media Deutschland GmbH
Abstract: Paramphistomosis is caused by paramphistome or amphistome parasites, including Fischoederius elongatus, Gastrothylax crumenifer, Orthocoelium parvipapillatum, and Paramphistomum epiclitum. The control and prevention of these parasite outbreaks are difficult because of the wide occurrence of these species. Besides, the clinical manifestations and their egg characteristics are similar to those of other intestinal flukes in the paramphistome group, leading to misdiagnosis. Here, we employed DNA barcoding using NADH dehydrogenase (ubiquinone, alpha 1) (ND1) and cytochrome c oxidase subunit I (COI), coupled with high-resolution melting analysis (Bar-HRM), for species differentiation. As a result, ParND1_3 and ParCOI4 resulted in positive amplification in the paramphistomes and Fasciola gigantica, with significantly different melting curves for each species. The melting temperatures of each species obtained clearly differed. Regarding sensitivity, the limit of detection (LoD) for all species of paramphistomes was 1 pg/µl. Our findings suggest that Bar-HRM using ParND1_3 is highly suitable for the differentiation of paramphistome species. This approach can be used in parasite detection and epidemiological studies in cattle. © 2023, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
URI: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85145739507&doi=10.1007%2fs00436-022-07769-0&partnerID=40&md5=3e5fc237a456fdbf837342658bc22303
https://ir.swu.ac.th/jspui/handle/123456789/29337
Appears in Collections:Scopus 2023

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