Literature DB >> 24816659

Genotyping by high-resolution melting analysis.

Elise J Tucker1, Bao Lam Huynh.   

Abstract

High-resolution melting (HRM) analysis is a simple, closed tube, post-PCR method used to identify genetic variation. The method is highly sensitive and can discriminate DNA sequence variants based on length (such as insertions or deletions), composition (such as single nucleotide polymorphisms, i.e., SNP) or strand complementarity (such as heterozygous or homozygous material). The technique involves PCR amplification of a target sequence in the presence of a fluorescent double-stranded DNA (dsDNA) binding dye, melting of the fluorescent amplicons, and subsequent interpretation of melt curve profiles. Here, we describe general considerations for assay design, PCR amplification, and HRM analysis.

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Year:  2014        PMID: 24816659     DOI: 10.1007/978-1-4939-0446-4_5

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  4 in total

1.  Difference in resistance to Salmonella enteritidis infection among allelic variants of TLR4 (903, 1832) in SPF chickens.

Authors:  L Liu; X W Zhao; Y M Song; Q H Li; P Li; R R Liu; M Q Zheng; J Wen; G P Zhao
Journal:  J Appl Genet       Date:  2015-12-02       Impact factor: 3.240

2.  Mapping mutations in plant genomes with the user-friendly web application CandiSNP.

Authors:  Graham J Etherington; Jacqueline Monaghan; Cyril Zipfel; Dan MacLean
Journal:  Plant Methods       Date:  2014-12-30       Impact factor: 4.993

3.  High Resolution Melting (HRM) for High-Throughput Genotyping-Limitations and Caveats in Practical Case Studies.

Authors:  Marcin Słomka; Marta Sobalska-Kwapis; Monika Wachulec; Grzegorz Bartosz; Dominik Strapagiel
Journal:  Int J Mol Sci       Date:  2017-11-03       Impact factor: 5.923

4.  Molecular identification of the wheat male fertility gene Ms1 and its prospects for hybrid breeding.

Authors:  Elise J Tucker; Ute Baumann; Allan Kouidri; Radoslaw Suchecki; Mathieu Baes; Melissa Garcia; Takashi Okada; Chongmei Dong; Yongzhong Wu; Ajay Sandhu; Manjit Singh; Peter Langridge; Petra Wolters; Marc C Albertsen; A Mark Cigan; Ryan Whitford
Journal:  Nat Commun       Date:  2017-10-11       Impact factor: 14.919

  4 in total

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