2018
DOI: 10.1016/j.micpath.2017.12.070
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High-resolution melting-curve (HRM) analysis for C. meleagridis identification in stool samples

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Cited by 7 publications
(6 citation statements)
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“…In this research, Cyt b and ITS-rDNA genes were targeted, and HRM technique was modified to be more trustworthy, strong, slight, and obvious, to allow the correct genotyping of Leishmania species 22 , 32 . In this method, new design of dedicated primers has been one of the most important parts of the work.…”
Section: Discussionmentioning
confidence: 99%
“…In this research, Cyt b and ITS-rDNA genes were targeted, and HRM technique was modified to be more trustworthy, strong, slight, and obvious, to allow the correct genotyping of Leishmania species 22 , 32 . In this method, new design of dedicated primers has been one of the most important parts of the work.…”
Section: Discussionmentioning
confidence: 99%
“…Previous studies showed that HRM method could diagnose different subtypes of influenza A 31 , astroviruses 32 , C. meleagridis 23 , and Yersinia pseudotuberculosis 33 . Besides, melting curve alteration in HRM method discriminated Iranian Leishmania parasites of L. major , L. tropica and mixed infection in the study of Ghafari SM et al 34 .…”
Section: Discussionmentioning
confidence: 99%
“…The advantage of HRM method is the amplification of short DNA fragments with high resolution and accuracy. However, some limitations, such as the mismatch of intercalated dyes to ambiguous sequences, like dimer primers and nonspecific products, should not be ignored 23 . This can lead to missing fragments that have an identical melting point 20 .…”
Section: Introductionmentioning
confidence: 99%
“…HRM analysis is sensitive enough to resolve a single base pair difference between amplicons, and has been applied to single nucleotide polymorphism (SNP) and tandem-repeat number based genotyping and determination of DNA methylation status [19] . Recently HRM analysis has been applied to the differentiation of Cryptosporidium species from other apicomplexan parasites, Toxoplasma gondii, Sarcocystis species, Neospora species, and to differentiate between Cryptosporidium species [20] , [21] , [22] . HRM analysis has also been successfully applied to the intra-species differentiation of Cryptosporidium cuniculus gp60 subtypes Va and Vb [23] .…”
Section: Methods Detailsmentioning
confidence: 99%